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AI invest crypto technology

Twijfels over AI, Zuckerberg in opspraak en droomstad Neom nog fata morgana

Het is niet duidelijk of het aan de wisselende prestaties ligt van techbedrijven of aan de wereldwijde onzekerheid over handelstarieven en de tegenstellingen tussen de VS, Europa, Rusland en China, maar er is een abrupt einde gekomen aan de hosanna-stemming in de techwereld.

De vriendelijke AI-agent voor kinderfeestjes. Beeld gemaakt met Midjourney.

Gedreven door een stroom aan AI-toepassingen hoopten beleggers op een nieuwe innovatiegolf, vergelijkbaar met de opkomst van de pc in de jaren tachtig, de doorbraak van internet in de jaren negentig en het wereldwijde gebruik van de mobiele telefoon begin deze eeuw: baanbrekende technologie die nieuwe markten creëerde en tegelijkertijd de productiviteit verhoogde.

Groeiende twijfel over AI

Er ontstaat steeds meer twijfel of de belofte van kunstmatige algemene intelligentie (AGI) de komende jaren zal worden ingelost, terwijl de enorme verliezen van AI-ontwikkelaars zoals OpenAI de vraag oproepen of er een winstgevend business model voor dit type bedrijven bestaat.

‘De enorme investeringen in opschaling, zonder gepaard te gaan met verdere innovatie, hebben mij altijd al zinloos geleken,’ zegt Stuart Russell van de Universiteit van Californië, Berkeley in New Scientist‘Ik denk dat ongeveer een jaar geleden voor iedereen duidelijk werd dat de voordelen van traditionele opschaling hun plafond hadden bereikt.

Met opschaling doelt Russell op het gooien met meer hardware naar het probleem, waarvan mede door de opkomst van DeepSeek wordt betwijfeld of het de beste aanpak is. Desondanks zijn technologiebedrijven van plan om de komende jaren gezamenlijk naar schatting een biljoen dollar, duizend miljard, uit te geven aan datacenters en chips om hun AI-ambities te ondersteunen. De hype rond AI-technologieën verklaart wellicht waarom liefst tachtig procent van de respondenten in een recent onderzoek onder AI-experts aangaf dat de huidige percepties van AI-capaciteiten niet overeenkomen met de realiteit.

‘What the hell are AI-agents?’

De meest recente hype die de AI-industrie probeert op gang te krijgen zijn AI-agents, een term die wordt misbruikt voor robot-stofzuigers tot “intelligente agents in AI die de besluitvorming veranderen en het situationeel bewustzijn binnen organisaties verbeteren door snellere data-analyse en voorspellende intelligentie.” Aldus iemand die rapporten over AI verkoopt, waarschijnlijk ook geschreven door AI.

In werkelijkheid heeft bijvoorbeeld Salesforce de omzetprognoses uit het product met de prachtige naam Agentforce bij lange na niet gehaald. De Wall Street Journal concludeerde dan ook: ‘AI Agents zijn overal – en nergens.’ Techcrunch, doorgaans positief over nieuwe technologie, kopte deze week zelfs: ‘No one knows what the hell an AI agent is.’

In hetzelfde artikel zeg zegt Andrew Ng, oprichter van het AI-platform DeepLearning.ai en gerenommeerd AI-expert, dat marketing een grote rol speelt bij het veroorzaken van het definitie-probleem. ‘De termen AI agents en agent-gebaseerde workflows hadden vroeger een technische betekenis, maar ongeveer een jaar geleden zijn marketeers en enkele grote bedrijven ermee aan de haal gegaan.’ Het wordt interessant om te volgen of er dit jaar nuttige en winstgevende toepassingen van AI-agents uitkomen. Wall Street lijkt niet van plan om fantasieverhalen te blijven financieren.

Woestijnstad van de toekomst nog fata morgana

Niet alleen de AI-wereld heeft het moeilijk, ook een ambitieus smart city-project als Neom, de Saudische stad als een streep van 170 kilometer lang ‘zonder wegen, auto’s of emissies,’ kampt met forse tegenslag.

De kosten zijn enorm gestegen, er zijn veel bouwvertragingen en een besluit om de eerste fase van Neom te verkleinen betekent dat de kritische massa aan inwoners ontbreekt, die nodig is om Neom tot het beoogde moderne zakencentrum te maken.

Het is jammer als Neom de enorme ambities zou terugschroeven, omdat het een fantastisch testbed leek te worden voor de beste technologie op het gebied van energie, watervoorziening, vervoer en stedenbouwkundige planning; allemaal gebieden waar de rest van de wereld grote belangstelling voor heeft.

Achter de problemen van Neom schuilt ‘een dans van wederzijdse zelfmisleiding‘, waarbij de kroonprins aandrong op fantastische plannen, volgens de berichtgeving tenminste, ’terwijl anderen daarin meegingen’. Dat lijkt verstandig, het is immers geen land dat bekendstaat om grote waardering voor tegenspraak. 

Pijnlijk boek over werken bij Facebook

Een ander geval van ‘wederzijdse zelfmisleiding’ lijkt de houding van de directie van Meta (Facebook), als reactie op een onthullend boek van voormalig medewerker Sarah Wynn-Williams, getiteld: “Roekeloze mensen: een waarschuwend verhaal over macht, hebzucht en verloren idealisme.” Uitgeverij Macmillan steunt de voormalig Meta-medewerker en weigert het boek uit de handel te halen, ondanks een gerechtelijk bevel daartoe.

Zuckerberg vestigt door de juridische acties juist meer aandacht op het boek, waarin hij wordt afgeschilderd als een emotioneel onderontwikkeld, wereldvreemd wezen. Een citaat:

‘Zuckerberg vraagt (tevergeefs) om naast Fidel Castro te worden geplaatst tijdens een diner. In 2015 vraagt hij Xi Jinping of deze hem “de eer wil bewijzen om zijn ongeboren kind een naam te geven”. (Xi weigert.) Hij onderhoudt een vriendschappelijke relatie met Barack Obama, totdat die hem op zijn plaats zet over nepnieuws.’

In 2016 plaatst Facebook medewerkers in de campagne van Donald Trump, “naast Trump-campagneprogrammeurs, tekstschrijvers voor advertenties, mediakopers, netwerkingenieurs en dataspecialisten”, waarmee ze Trump helpen winnen. Dit inspireert Zuckerberg om zelf een gooi naar het presidentschap te overwegen, waarna hij in 2017 door de Amerikaanse swing states reist.

Wynn-Williams beschrijft Zuckerbergs toespraken “zoals een kind zich voorstelt hoe een president zou klinken”. Een van Zucks uitspraken luidt: “De situatie is vol uitdagingen, en wij moeten boven de situatie uitstijgen. Omdat onze zaak nieuw is, moeten we nieuw denken en nieuw handelen.” Mocht iemand er nog aan hebben getwijfeld: Zuckerberg is geen John F. Kennedy.

‘Ik lag een deel van de tijd in coma’

De beschrijving van de werkcultuur bij Meta is misschien het meest schrijnende onderdeel uit het boek. Wynn-Williams komt tijdens een bevalling bijna om het leven, maar tijdens haar herstel wordt ze steeds lastiggevallen door haar leidinggevende. Wanneer ze terugkeert naar kantoor, krijgt ze van haar mannelijke baas een ongunstige evaluatie. “Je was niet responsief genoeg,” zegt hij. “In mijn verdediging,” antwoordt ze, “ik lag een deel van de tijd in coma.” Zuckerberg gaat nog veel last krijgen van dit boek.

2025 rampjaar voor Tesla

Ook de aartsvijand van Mark Zuckerberg, Elon Musk, beleeft zakelijk gezien zware tijden. Het aandeel Tesla blijft dalen, deels door tegenvallende resultaten in China, deels door Musk’s controversiële gedrag. Terwijl de Nasdaq Composite al een slecht jaar beleeft met een daling van 8%, krijgt Tesla in 2025 een enorme klap met een daling van liefst 38%. En het is pas maart.

2025 is een rampjaar voor Tesla, maar over de laatste twaalf maanden gezien is Tesla nog steeds een grote winnaar met 53% stijging

Tesla in laatste jaar: 53% stijging

Die -38% klinkt rampzalig, maar over een langere periode bezien, de laatste twaalf maanden, blijkt Tesla van de Big Tech-aandelen onverwacht één van de grote winnaars. Net als Broadcom (58%) heeft Tesla het laatste jaar een bijzondere stijging doorgemaakt: 53%. Dat is twee keer zoveel als het aandeel Meta van vrind Zuckerberg, de man die het bedenken van een naam voor zijn kind aan de president van China probeerde uit te besteden.

Het valt steeds meer op hoe de financiële media worden gedreven door de waan van de dag, of beter gezegd: het zapgedrag van kijkers en het (weg)klikgedrag van lezers. Uiteraard is het nieuws als een aandeel zoveel daalt als Tesla dit jaar, zeker als de CEO met een kettingzaag op een podium goochelt, maar vanuit beleggingsperspectief is een raadzaam om een langere horizon dan een paar weken te hanteren. Tesla is geen meme coin.

NFA Podcast: Beleggen in crypto vs. speculeren en Abu Dhabi investeert $2 miljard in Binance

In aflevering 7 van de NFA Podcast bespreken Nisheta en ik Ripple’s verrassende goedkeuring voor crypto-betalingen in de Emiraten, de opvallende investering van twee miljard dollar door Abu Dhabi’s MGX-fonds in cryptobeurs Binance en de bredere verschuiving in de cryptomarkt van speculatieve meme coins naar substantiële beleggingen met onderliggende waarde.

Daarnaast bespreken we het verschil tussen beleggen in crypto voor de lange termijn, versus korte termijn speculeren. We verwachten allebei nog een nieuw All Time High voor Bitcoin in 2025. Aflevering 7 van de NFA Podcast met Nish & Frackers is nu beschikbaar:

Shownotes Aflevering 7:

Bedankt voor de belangstelling, tot volgende week!

Categories
technology

 Trump zet vol in op crypto, terwijl China opnieuw verrast met AI

Deze week stond volledig in het teken van crypto en kunstmatige intelligentie. President Trump zette crypto centraal op de politieke agenda met de aankondiging van een Amerikaanse Bitcoin Strategische Reserve, terwijl het Chinese Alibaba verraste met een efficiënter AI-model dat niet alleen Amerikaanse concurrenten zoals OpenAI en Anthropic bedreigt maar ook DeepSeek-R1, eveneens van Chinese makelij.

Cryptomarkt in de greep van macro-economie

Jarenlang wreven crypto-beleggers zich vergenoegd in de handen als aandelenkoersen en obligaties daalden door een verhoogde rente of stijgende inflatie, terwijl de crypto-wereld onaangeroerd leek door dit type old school economie.

Deze week werd duidelijk hoe nauw verbonden de cryptomarkt inmiddels is met bredere macro-economische ontwikkelingen. Bitcoin en consorten, de zogeheten altcoins, bewegen vrijwel direct mee met rentestijgingen en geopolitieke spanningen zoals de oorlog in Oekraïne en de dreiging van hogere internationale handelstarieven. Daarmee is het idee dat het zinvol is om beleggingen in traditionele beleggingsklassen af te dekken door in crypto te stappen, volledig achterhaald.

Links van president Trump de minister van Financiën; rechts de AI & Crypto Tsaar

Trump zet crypto hoog op politieke agenda

De aftrap was ronduit hilarisch: de crypto-top in het Witte Huis begon vrijdag met het verzoek van president Trump aan FIFA-voorzitter Gianni Infantino om een paar woorden te richten tot het publiek. Dat doet Trump geen tweede keer, want Infantino ging minutenlang op het orgel over de FIFA Club World Cup, een sportief gedrocht met een bijpassende foeilelijke bokaal die zelfs op Marktplaats nog onverkoopbaar zou blijven; tot Infantino plotsklaps de aanwezigen vroeg om mee te doen in de ontwikkeling van een FIFA-coin, wat dat ook moge zijn. President Trump reageerde zoals alleen hij dat kan“That coin may be worth more than FIFA in the end. It could be quite a coin, actually. Thank you Gianni. Great job.”

Vervolgens kondigde Trump de oprichting aan van een Amerikaanse Bitcoin Strategische Reserve en Digitale Activa-voorraad. Jarenlang was alleen al het gerucht van zo’n soort actie genoeg voor een stijging van alle crypto’s, maar de dreigende handelsoorlog overschaduwde alles en de cryptokoersen daalden zelfs licht. De waarde van de als een groot persmoment opgezette crypto-top, zat niet zozeer in de aankondiging dat de VS voortaan alle in beslag genomen Bitcoin en andere crypto gaat opslaan in plaats verkopen, maar in de symboliek die werd gepersonificeerd door de mensen die president Trump flankeerden.

Crypto-tsaar leidt de revolutie?

In een tijdperk waarin politiek synoniem is geworden met korte termijn symboliek, gevat in plaatjes, praatjes en TikTok-video’s, was het niet zozeer opvallend dat links van Trump minister van Financiën Scott Bessent zat, maar wel dat rechts van Trump voormalig tech-investeerder David Sacks, getooid met de titel ‘White House AI and Crypto Czar’, prominent in beeld was geplaatst.

Zelfs in het land waar restaurants het hoofdgerecht betitelen als ‘entree’, is het ironisch dat de crypto-revolutie wordt geleid door iemand met de titel ’tsaar’, toch geen beroepsgroep die uitblonk in decentralisatie en revoluties. De benoeming van Sacks geeft aan hoe serieus digitale technologieën nu worden genomen door de Amerikaanse regering en het is een kwestie van tijd tot Sacks, in overleg met de SEC, tot voorstellen voor wetgeving zal komen die specifiek zal gelden voor crypto.

Memecoins slecht soort stoelendans

Het zal waarschijnlijk voor eeuwig in nevelen gehuld blijven waarom de regering Biden zo rabiaat anti-crypto was. Waren het donaties van de door crypto bedreigde grootbanken, of een overtrokken reactie op crypto-fraudes? Memecoins, tokens zonder enige onderliggende waarde of economische activiteit, zouden net als casino’s aan specifieke regulering onderhevig moeten zijn. Maar zijn memecoins een legitieme reden voor de SEC om bedrijven als Coinbase jarenlang met juridische procedures te bestoken, terwijl Coinbase geen memecoins verhandelt?

In de podcast van Joe Rogan besprak Elon Musk vorige week de opkomst en impact van memecoins, die Musk vergeleek met casino’s. Kritisch commentator Coffeezilla reageerde hierop met de waarschuwing dat memecoins meer op stoelendans dan casino’s lijken, waarbij alleen de organisatoren weten wanneer de muziek stopt en de insiders profiteren ten koste van reguliere beleggers.

Waarom crypto specifieke wetgeving vereist

In een uitstekend betoog noemt Scott Walker van investeringsmaatschappij Andreessen Horowitz drie redenen waarom crypto specifieke wetgeving vereist om beleggers te beschermen en tegelijkertijd innovatie te stimuleren, in plaats van het regeren met de houwdegen van de SEC, zoals onder de vorige baas Gary Gensler:

  1. Onduidelijke terminologie: De term “crypto asset securities” mist een duidelijke definitie, wat onzekerheid schept over welke activa precies onder de jurisdictie van de SEC vallen.
  2. Onvoldoende erkenning van verschillen: De huidige regels van de SEC houden geen rekening met de specifieke kenmerken van crypto-activa ten opzichte van traditionele effecten, waardoor maatwerk in regelgeving noodzakelijk is.
  3. Gebrek aan consultatie van de sector: De SEC betrekt onvoldoende marktgegevens en input vanuit de industrie bij haar besluitvorming, waardoor regels ontstaan die mogelijk onpraktisch of schadelijk zijn voor technologische vooruitgang.

Voorbeeld: uitgifte van tokens vs. aandelen

Neem bijvoorbeeld de uitgifte van aandelen: wanneer bedrijven dat doen, moet veel informatie worden gedeeld met potentiële beleggers door middel van financiële rapporten en risico-analyses. De wetgeving gaat ervan uit dat er altijd een bedrijf verantwoordelijk is voor de verstrekking van deze informatie.

Maar bij veel cryptoprojecten is er geen centraal bedrijf, bijvoorbeeld bij decentrale organisaties (DAO’s) of cryptovaluta zoals Bitcoin. Na de start is er geen enkele leidinggevende die verantwoordelijk is voor het delen van informatie. Er is geen CEO van Bitcoin. Het is zelfs onbekend wie de auteur is van het smart contract en het befaamde Bitcoin white paper, al is er wel een mafklapper die tot in de rechtbank blijft beweren dat hij de profeet is, zoals wel vaker bij religies.

Het is onmogelijk om de standaardregels voor het delen van informatie toe te passen op deze crypto-projecten. Die regels zijn gemaakt voor bedrijven, niet voor systemen zonder eindbaas. Helaas ontstaat vaak de indruk dat de crypto-sector geen regelgeving accepteert. Dat is niet juist; de wens is alleen voor specifieke, transparante en toepasbare wetgeving. De wet- en regelving moet passen bij de nieuwe manier waarop deze projecten werken. Het ziet er op dit moment naar uit dat de VS, na pionier de Verenigde Arabische Emiraten, snel met praktisch toepasbare regelgeving zal komen en Europa opnieuw achterblijft.

Amy Webb waarschuwt voor ‘levende intelligentie’

De erkenning van de strategische waarde van kunstmatige intelligentie en cryptovaluta door politieke leiders zoals Trump roept herinneringen op aan de internetrevolutie eind jaren negentig, die eerst door vrijwel elke machthebber en ervaren ondernemer werd gemist door een schrijnend gebrek aan besef van de waarde van digitalisering. Tien jaar later maakten politici en ondernemers opnieuw dezelfde fout, door vooral de sociale impact van de combinatie van mobiel internet en sociale media te onderschatten.

Vandaag moeten we ons afvragen hoe AI en digitale activa onze samenleving, bedrijfsmodellen en geopolitieke verhoudingen veranderen. Futurist Amy Webb wees gisteren op SXSW in Austin in haar presentatie van de laatste versie van het jaarlijkse Tech Trends Report, met name op het gevaar van ‘levende intelligentie’: een nieuw tijdperk waarin kunstmatige intelligentie, biotechnologie en geavanceerde sensoren samensmelten en ongekende mogelijkheden en uitdagingen creëren.

Er zit enige ironie in de woorden van een futurist die wijst op het gevaar van levende intelligentie, in een tijdsgewricht waarin we vooral worden geconfronteerd met de gevolgen van gebrek aan levende intelligentie.

Alibaba lanceert QwQ-32B en bedreigt DeepSeek

Het kan hard gaan in de tech-sector. DeepSeek was het snoepje van de maand februari, maar het is nu maart en, simsalabim, daar is Alibaba met zijn nieuwe AI-model: de QwQ-32B. Geen naam die je verwacht van een bedrijf met de naam Alibaba, maar de kern is dat dit model efficiënter omgaat met energie en kosten dan DeepSeek’s R1-model en toch vergelijkbare prestaties levert. Deze aankondiging leidde tot een koersstijging van 8,4% in de aandelen van Alibaba op de beurs van Hong Kong.

Er ontvouwt zich nu een fascinerend scenario, waarbij ’traditionele’ AI-bedrijven zoals OpenAI met ChatGPT, Anthropic met Claude en X.ai met Grok, in het hart van hun bedrijfsmodel worden geraakt door DeepSeek dat tegen veel lagere kosten vergelijkbare resultaten levert; alleen wordt DeepSeek vervolgens links ingehaald door Alibaba dat tegen nog lagere kosten presteert.

Daarmee raakt deze nieuwste generatie Chinese AI-ontwikkelaars de kern van AI op basis van Large Language Models (LLM’s). Beleggers, en in toenemende mate ook klanten, zien geen grote kwaliteitsverschillen tussen de verschillende aanbieders, maar ze zien wel enorme verschillen in de kosten die de AI-bedrijven maken en doorrekenen aan klanten.

Als we AI-modellen zouden weergeven als auto’s, zien beleggers en klanten nu allerlei fabrikanten die auto’s maken die duizend kilometer ver kunnen rijden. Sommigen doen het alleen sneller. De vraag is nu hoe groot de markt wordt voor de meest hoogwaardige AI-modellen en vooral tegen welke prijs. 

Het verhaal dat Ferrari vier keer zoveel winst maakt per verkochte auto als de fabrikanten van kloeke middenklassers, is bekend. Een van de meest winstgevende luchtvaartmaatschappijen ter wereld,  Southwest Airlines, heeft geen business class. De vraag is steeds meer: is AI een markt voor Ferrari’s, of voor discount airlines? 

‘Geïnspireerd’ door Porsche en Tesla: de Xiaomi SU7

Xiaomi slaagt waar Apple faalde

Er was ook autonieuws uit China. Xiaomi, oorspronkelijk bekend om consumentenelektronica en met name Android-telefoons, maakt grote stappen in de EV-markt. De Wall Street Journal is onder de indruk van het feit dat een telefoonmaker er in een paar jaar in slaagde om een elektrische auto te ontwikkelen die zo goed is, dat een topman van Ford zei nooit meer zonder te willen.

Wat zelfs Apple niet lukte, een goede elektrische auto ontwikkelen, is Xiaomi wel gelukt met de SU7. Het is een fiks vleugje Porsche gemengd met Tesla, qua kleuren helaas ook verkrijgbaar in smurf-blauw, Milka-paars en Fanta-oranje.

Ook nieuw uit China: Manus

Terwijl Microsoft zich in toenemende mate probeert los te maken van OpenAI om een eigen technologische- en commerciële koers op AI-gebied te kunnen varen, kwam deze week uit China behalve het sexy model QwQ-32B van Alibaba ook de AI-agent Manus.

Het is een innovatieve AI-agent die ontworpen is om diverse alledaagse en professionele taken zelfstandig uit te voeren, wat de potentie heeft om menselijke productiviteit aanzienlijk te verhogen. De video en demo’s zijn ronduit indrukwekkend, helaas sta ik nog op de wachtlijst dus ik heb nog niets kunnen testen. Ik ben erg benieuwd!

Een scherpe blik op tech en crypto: Nisheta Sachdev in de NFA Podcast

NFA Podcast: Trump’s Bitcoin Reserve, BitTensor’s AI Network en Bitcoin vs. Altcoins

In de NFA Podcast van deze week bespreken Nisheta Sachdev en ik de wilde week in technologie en crypto. Nish behandelt China’s impactvolle stimuleringsmaatregelen, verheldert misvattingen over de Bitcoin-adoptie van een Braziliaans fintechbedrijf en belicht de nieuwe crypto-regelgeving in Vietnam.

Zelf ging ik in op President Trumps strategische Bitcoin-reserve en digitale activa-“voorraad” en de implicaties voor crypto-markten. Ik blijf positief over Nvidia ondanks twijfels over de AI-sector, terwijl Nish BitTensor (TAO) introduceert, een innovatief gedecentraliseerd AI-netwerk. Samen bespreken we hoe om te gaan met de volatiliteit in crypto-beleggingen, waarbij we altcoins afwegen tegen Bitcoin in een onzekere markt.

Seizoen 1, Aflevering 6 van de NFA Podcast is nu uit:

De NFA-podcast is alleen bedoeld voor educatieve en amusementsdoeleinden en is geen financieel advies.

Abonneren op de speciale NFA Podcast nieuwsbrief, die je op de hoogte houdt van elke nieuwe aflevering, kan hier via LinkedIn.

Thanks for the interest and see you next week!


  • The English version of this newsletter appears here on LinkedIn.
  • De wekelijkse NFA Podcast met dr. Nisheta Sachdev staat onder andere op Youtube, op Spotify en Apple Podcasts.
  • Abonneren op de speciale NFA Podcast nieuwsbrief, die je op de hoogte zodra elke nieuwe aflevering verschijnt, kan hier via LinkedIn.
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Categories
technology

Is the end of an independent OpenAI near?

This week some long-standing trends in the technology sector surfaced more emphatically. First, the growing influence of large technology companies on politics and governance, and second, the question of whether AI models are economically sustainable, with even "life-threatening" market conditions for AI startups such as OpenAI. In the crypto market, it was complete chaos.

Big Tech and Political Influence

Leaders of technology companies are increasingly trying to gain influence over social and political processes. It is no longer just Elon Musk, who last month, as a born South African with Canadian passport and naturalized to American, tried to emerge as an expert of German society and openly called for support for the AfD, now Germany's second party with 21%.

Amazon founder Jeff Bezos is suddenly also a political activist. The surely not typically leftist Wall Street Journal is merciless to Bezos, delicately pointing out that Amazon recently paid $40 million for an authorized documentary on Melania Trump entirely by accident, "three times as much as any other bid." The WSJ continues:

"There were the flattering tweets with which Bezos applauded Trump's victory and his prominent presence alongside other tech leaders at the inauguration-Zuckerberg, Musk, Tim Cook of Apple and Sundar Pichai of Google, among others. Their seats on stage, directly behind Trump and in front of the cabinet, could be interpreted in two ways: as a historic gathering of new economic and tech powerhouses showing their support for the new administration, or as a hostage video of billionaires held captive by a menacing strongman.

Another shock followed this week when Bezos announced that the opinion pages of the Washington Post (bought by Bezos in 2013, MF) would henceforth be devoted to defending the principles of "personal liberty and free markets." This shift to the right led to the resignation of David Shipley, the section's editor-in-chief. Critics condemned the move as an attempt to suppress liberal opposition and criticism of Trump, while others noted that such views are widely represented in other publications."

Bezos is now working on his PR by shooting singer Katy Perry in space, with Oprah's bestie and his own fiancée, a more original way to test your relationship than Temptation Island.

New macho tech-bro: Alex Karp

Now the formerly media-shy Palantir CEO Alex Karp is surfacing, openly advocating a system in which democratically elected leaders are replaced by an AI-driven bureaucracy in a new book. His argument is that AI can make decisions more efficiently than human administrators. Bloomberg, also rarely accused of leftist leanings, judged Karp's book harshly:

"It’s a major complaint of the authors of The Technological Republic (Crown Currency, Feb. 18) that people today shrink from saying what they think. Too many of us, they insist, give mealy-mouthed, wishy-washy answers when asked. We have become uncomfortable with making moral and aesthetic judgments, they say.

I agree, and I'm going to break the taboos. The Technological Republic is a terrible book: badly written, boring and-when the ideas can be picked up between the jargon, clichés and repetitions-full of bad ideas ranging from questionable to reprehensible and disturbing. This book is abysmal in both form and content. It sketches a dark and depressing future." 

Not a review that will make the back cover of the book, which should be seen primarily as a brochure for Palantir.

Big Tech cries out for government intervention

The founders of Big Tech companies Meta, Amazon and Tesla position themselves as indispensable to economic and social progress and argue that their success is the result of technological and market superiority. At the same time, Meta, with click-happy algorithms, is largely responsible for sharing disinformation and sowing social discord, Amazon is the pinnacle of consumerism with a history of sad working conditions, and Tesla enjoyed as much as $38 billion in government subsidies. Thus the Washington Post in an article that still dared to spout some criticism of Tesla's success based ons o-called 
free market forces.

With the imminent introduction of artificial general intelligence (AGI), technology is playing an increasing factor in society. Whereas at the end of last century politicians were often scornful of what was mostly described as nothing more than automation, it is only now being understood that the ongoing digitization of the world is spilling over into AGI systems that, without democratic control, run the risk of a small number of technology company leaders amassing disproportionate power.

Big Tech's interests do not parallel societal values such as privacy, democracy and public participation. The tech-bros think first and foremost about quarterly earnings.

The focus at OpenAI is not yet on making revenue. Just try updating your credit card.

The missing business model of AI

Speaking of quarterly earnings pressure; within the technology sector, there is an ongoing debate about the effectiveness of different business models. A major issue is always whether companies should bundle technologies or offer them as separate products. An example of this is Microsoft's acquisition of Skype for $8.5 billion, a sum that was probably never recouped due to ambiguity about the pricing model and lack of integration into MS Office.

Om Malik delightfully cynically concludes at the announcement that Microsoft is shutting down Skype: "Skype's demise is a good lesson in how ineffective middle management can destroy good acquisitions. I have never met a Skype manager on Microsoft's side who had any imagination. Most were such "drones" that next to them even a red clay brick would come across as a genius work of art.

Microsoft Teams is a terrible product-and I hate using it. In the simplest terms, Teams is the perfect summary of a bureaucratic, outdated and archaic 50-year-old company trying to reinvent itself as a leader in AI."

If the relatively straight forward product Skype, which already had millions of users worldwide, is so complex to be profitably exploited by a giant like Microsoft, it will be especially interesting to see if opaque billion-dollar investments in AI are ever going to deliver the intended returns. The quarterly earnings reports of Microsoft, Meta and Amazon are being increasingly scrutinized by analysts for their spending on AI. Although these companies are investing tens of billions in AI, Nvidia is the only one consistently benefiting from this trend, and it remains unclear whether the Big Tech companies will ever turn a profit on their AI investments.

Big problems for AI startups

For leading AI startups, it's all hands on deck this year. In recent weeks, Grok 3 (from x.ai, owned by Elon Musk), Claude 3.7 Sonnet (Anthropic) and ChatGPT 4.5 (OpenAI) have been launched. Analyses show doubts about the quality and efficiency of this latest generation of AI applications. "It's a lemon," headlines Ars Technica about ChatGPT-4.5.

Gary Marcus points out several problems with OpenAI:

  • GPT-4.5 is expensive and offers no significant advantages over competitors.
  • Initial interest in OpenAI is waning.
  • There is no clear business model that guarantees profitability over time.
  • OpenAI currently makes a loss on every transaction.
  • Microsoft is distancing itself more from OpenAI.
  • There is high turnover among key staff, including Sutskever, Murati and Karpathy.

Ethan Mollick, on the other hand, remains positive about advances in AI: "The intelligence of AI models is increasing, and costs are falling." But people like Mollick are now a minority among investors.

The problem for AI startups such as Elon Musk's X.AI, Sam Altman's OpenAI and competitors such as Anthropic (with Claude) and Mistral, is the increasing doubt about real technological advances relative to rising development and operating costs. Investors are increasingly questioning the long-term profitability of AI companies.

The discussion is no longer about the beliefs of AI proponents, who regard AI development almost as a religion, or the objections of the non-believers, let me call them "AI-theists," but about economic reality. The key question is not whether AI can continue to grow and fundamentally improve, but whether it can do so profitably. In the investment world, there are serious doubts about two things:

  1. Whether the costs of AI development will ever outweigh the benefits and whether a sustainable business model is possible in which companies like OpenAI become profitable,
  2. Whether AI models actually deliver the expected improvements that allow the end users of AI applications, the customers of OpenAI, Microsoft, Google etc, to operate more cost-effectively.

For OpenAI, this is an urgent problem. Companies like Microsoft, Google, Meta, Oracle and Salesforce invest tens of billions in AI every year, but can absorb losses with profits from other activities. OpenAI, on the other hand, is completely dependent on AI and remains heavily loss-making.

Legendary investor Vinod Khosla, among other early backers of OpenAI, openly says that he expects most investments in AI to be loss-making. Of course, that does not apply to his own investment in OpenAI, because he was in it so early that any sale of OpenAI will be a hit for Khosla.

The "disaster month" for Nvidia, compared to the Dow, S&P and Nasdaq Composite...

For now, Nvidia is benefiting from the confidence within Big Tech that increasingly powerful and expensive chips are the solution. The company again achieved record results, although profit margins are declining. Gross margin nevertheless remained at an impressive 72%. Not surprisingly, Nvidia rose another 4% on Friday and still ended February with a 7% gain, while the major stock market indices recorded losses. Barron's therefore half-jokingly called Nvidia a value stock.

DeepSeek with bad news for OpenAI

DeepSeek, OpenAI's Chinese nemesis, claimed yesterday on X to have a much more efficient cost structure: "Our cost-benefit ratio is 545 percent." A more detailed explanation later followed on GitHub, to which Techcrunch sharply concluded:

"The company (DeepSeek, MF) wrote that if it looked at the usage of its V3 and R1 models over a 24-hour period, and if all that usage had been billed at the R1 prices, DeepSeek would have already generated $562,027 in daily revenue. At the same time, the cost of leasing the required GPUs (graphics processing units) would have been only $87,072.

The company admitted that actual revenue is significantly lower for several reasons, including discounts during nighttime hours, lower prices for V3 and the fact that only a portion of services are monetized, while access via web and app remains free.

If the app and website were not free and other discounts did not exist, usage would presumably be much lower. Therefore, these calculations seem largely speculative-more an indication of potential future profit margins than a realistic representation of DeepSeek's current financial situation.

But the company is sharing these numbers amidst broader debates about AI’s cost and potential profitability."

Surely every investor now has the idea that DeepSeek has a much better chance of becoming profitable than OpenAI, which no longer has a substantial technological edge, dubbed in Silicon Valley as a "moat," nor does it have the financial capabilities needed to eliminate the competition. Consider how, for example, Mark Zuckerberg once bought fast-growing competitor Instagram with Meta. Sam Altman does not have that option.

The next few months will be decisive for OpenAI. The company desperately needs capital. It is now at the mercy of Softbank's Masayoshi Son, who is already raising $16 billion in loans with his cap in hand, indicating that the industry's biggest financiers are cautious. Even if all the money Softbank is now raising in loans were to go into OpenAI, which is doubted, the question is how far OpenAI will get with that money.

Savior from Abu Dhabi or a mirage?

Another possible investor is Tahnoon bin Zayed al Nahyan, an influential Abu Dhabi financier, irreverently dubbed the "Spy Sheikh" by the Wall Street Journal . As manager of several Abu Dhabi sovereign wealth funds, including MGX, he could turn out to be the financial decision maker on OpenAI's fate.

The question, meanwhile, is whether OpenAI can survive another year without rapid funding. If there is no urgent injection of billions, a takeover lurks. Microsoft already owns 49% of the shares, is the main provider of cloud infrastructure and could cough up as much as $100 billion to buy out the existing shareholders in OpenAI. That's a very different reality for OpenAI CEO Sam Altman than it was a few months ago, when he still thought he could raise $30 billion against just 10 percent of the shares.

Dr. Sachdev lost the bet on price predictions, but did buy crypto.

Blood bath in the crypto market

In episode 5 of the NFA Podcast (for Nish, Frackers and Anyone Else, and, of course, for Not Financial Advice), Nish eats an Indian green chili because she had lost the bet on a rising or falling market. She was dressed in red to symbolize the carnage in the crypto market.

In more relevant news: we discussed the drop in new token launches on Pumpfun, BlackRock's Bitcoin sales and the SEC's ruling that meme coins are not securities. That would normally be positive news for the speculative crypto market, but it didn't matter last week: almost everything plummeted.

The Bybit hack, which was linked to North Korean attackers, was also discussed in detail and showed vulnerabilities in multi-signature transactions. Finally, we discussed whether Bitcoin will still reach an all-time high this year and how its correlation with traditional markets is developing. We agreed, which is not the intent of the format.

Episode 5 of the NFA Podcast. "Crypto bloodbath, the Bybit hack fall out and will Bitcoin 'go rogue' to hit an ATH?" is available to listen to now or watch here on YouTube and also here on Spotify

You can subscribe to the special NFA Podcast newsletter, which will keep you informed of each new episode, here on LinkedIn. Thanks for your interest and see you next week!

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Is the Libra scandal the end of memecoins, Alibaba is back and what is next for Solana?

Is the Libra-disaster finally the end of the memecoin craze? And what does it mean for the future of Solana? Dr. Nisheta Sachdev is bullish, Michiel is skeptical, plus much more like the president of China talking with tech titans which sparked a comeback for the Alibaba stock price, the amazing amount of crypto sponsorships in Formula 1 and who predicts the market right, does not have to eat a green chili next week....

We originally did this as a joke, but a few hours later, this was our real reaction when Bybit got robbed of $1.46 billion.

Welcome back to the NFA Podcast newsletter! This week's episode was packed with major developments in crypto, AI, and finance.

Episode 4 is here on YouTube and here on Spotify!

Here's everything we discussed:

Mubadala Invests $436M in Bitcoin ETF

Mubadala, the Abu Dhabi sovereign wealth fund with $300 billion under management, has made a significant move into crypto by investing $436 million in BlackRock's iShares Bitcoin ETF. This signals growing institutional confidence in Bitcoin, despite short-term market fluctuations.

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Libra Scandal: The Next FTX?

The Libra scandal has rocked the crypto world, with allegations of insider trading and fraud surrounding its launch. Kelsier Capital is accused of front-running the token and dumping $200 million worth of assets. Investigations reveal that the founders orchestrated a back pull via sniping, leaving investors with massive losses. Some are calling this the FTX moment for memecoins.

Coffeezilla investigates:

Full breakdown of the Kelsier case:

https://open.substack.com/pub/lex/p/analysis-is-kelsiers-200mm-insider

Is this the end of the memecoin era? Nish thinks so, while Michiel argues that speculative trading will always find new outlets.

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Microsoft's Quantum Computing Breakthrough

Microsoft has announced a major milestone in quantum computing with its topological qubits, which it claims will be more stable and scalable than other technologies. While some physicists remain skeptical, this could be a game-changer for encryption, AI, and blockchain security.

Michiel recalls a conversation with Ray Harishankar, an IBM fellow, who warned that once quantum computing reaches a certain level, it could break all existing encryption methods-including crypto wallets.

Watch Ray Harishankar's talk (after 25 minutes):

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Ex-OpenAI Leaders Raising Billions for Competitors

Two former OpenAI executives are making waves:

- Ilya Sutskever's Safe Superintelligence (SSI) is raising funds at a $30 billion valuation to develop AI with a focus on security and stability.

- Mira Murati's Thinking Machines Lab is also in fundraising mode, though its valuation remains undisclosed. Murati has already recruited more than 30 former OpenAI and Anthropic employees.

Safe Superintelligence: https://ssi.inc/

Thinking Machines Lab: https://thinkingmachines.ai/

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Xi Jinping Meets China's Tech Titans

For the first time in six years, Chinese President Xi Jinping has summoned the country's top tech leaders, including Jack Ma (Alibaba/Ant Group). This meeting could signal a shift in China's approach to regulating its tech sector, potentially opening the door for more innovation and foreign investment.

Read more: BBC

https://www.bbc.com/news/articles/c5yvyl710jpo

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Formula 1's Crypto Sponsorship Boom

Crypto is more present than ever in Formula 1, with major teams backed by leading exchanges and blockchain companies:

- Aston Martin - Sponsored by Coinbase (paid entirely in USDC)

- Red Bull Racing - Now sponsored by Gate.io, replacing Bybit

- McLaren - Partnering with OKX since 2022

- Williams - Sponsored by Kraken

- Alpine - Backed by Binance

- Stake F1 Team (Sauber) - Sponsored by Stake.com

- Formula 1 (officially) - Long-term partner Crypto.com

Full list of sponsors: News GP

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🎧 Listen to or watch the Full Episode Now!

Get the full breakdown and insights by tuning in to this week's episode on YouTube & Spotify. Episode 4 is here on YouTube and here on Spotify!

Don't forget to like and subscribe and share your thoughts with Nish and Michiel in the comments.

Thanks for being part of the NFA Podcast community! 🚀

#Crypto #AI #Web3 #QuantumComputing #Bitcoin #F1 #NFApodcast

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Short news: Microsoft claims breakthrough with quantum computing, former OpenAI leaders with rival AI companies, President Xi Jinping brings together Chinese tech leaders, Alibaba and Unity rise, Palantir falls sharply and Formula 1 full of crypto sponsors

Microsoft claims quantum computing breakthrough

Microsoft has announced it has reached a significant milestone in quantum computing. The tech company says it has created "topological qubits," a technological innovation that could be crucial to realizing stable and scalable quantum computing.

Quantum computing has long been considered the holy grail for computational power and data analysis, but the technology faces stability problems. Once quantum computing works at scale, it would make current encryption obsolete, including cryptographic keys for blockchain. That means everyone needs to think about alternative storage methods for their cryptoassets now, before quantum computing becomes a reality. In North Korea, they can't wait.

Former OpenAI leaders with competing AI companies

The AI sector remains in flux as former OpenAI executives raise billions for competing projects. It was previously known that ex-OpenAI Chief Scientist Ilya Sutskever founded Safe Superintelligence(SSI), which is in negotiations to obtain funding at a valuation of $30 billion.

Now it appears that former OpenAI CTO Mira Murati is also raising money for her AI startup Thinking Machines Lab, with a team largely made up of employees recruited from OpenAI and Anthropic. It is just not known what valuation Murati has in mind, but she will certainly be looking with an oblique eye at what former colleague Sutskever is getting done. Like SSI, Thinking Machines Lab has a one-page website with text on it in very small print. The most high technology companies make Web sites that look like they did in 1993.

President Xi Jinping brings together Chinese tech leaders

For the first time in six years, Chinese President Xi Jinpinghas met with top members of China's technology sector, including Jack Ma, the co-founder of Alibaba. The meeting marks a striking change of direction after years of the Chinese government cracking down on tech companies with strict regulatory measures and high fines.

The meeting is a sign that Chinese leaders recognize how crucial technology is to the economy. Jack Ma's return to the spotlight indicates that the government wants to give companies like Alibaba more freedom again, presumably to spur innovation and growth in a flare-up in international competition.

Thursday, Feb. 20, was a special day of trading for Alibaba, Palantir and Unity

Alibaba and Unity rise, Palantir falls sharply

The meeting was met with cheers from investors and Alibaba shares rose sharply. On the same day, Thursday, Palantir shares took a huge hit because President Trump is expected to cut defense spending, which could negatively impact Palantir.

Another notable stock was software maker Unity, which, although still loss-making, is being praised by investors for its change in direction, supplying not only software for computer games but also car companies such as Toyota. Thus, Thursday, Feb. 20, became a very special day for these three companies.

Interestingly, the share price of U.S. largest crypto exchange Coinbase, barely reacted to the news that the SEC, under the reign of President Trump, has halted the years-long lawsuit against Coinbase.

Formula 1 full of crypto sponsors

The Formula One season is about to start and was announced big time with an event at London's O2 Arena. It was noticed that many teams are sponsored big by crypto companies:

  • Aston Martin is sponsored by Coinbase, with quite a fuss being made about the fact that payment is made in the stable token USDC. That's a digital dollar, boy.
  • Red Bull Racing has had crypto exchange Gate.io on the back wing since this season, replacing Bybit. But that one made plenty of headlines later in the week.
  • McLaren has had OKX as a sponsor since 2022. OKX appears large on the side of the car, among other things.
  • Williams: American crypto exchange Kraken is a sponsor of Williams for the third year.
  • Stake F1 Team: Sauber, which will become Audi next year, has even sold the name to the crypto gambling site Stake.

Formula 1 itself has been sponsored by the crypto exchange Crypto.com since 2021, noting that neither Nish nor I know anyone who has ever used Crypto.com, unlike the other exchanges mentioned.

NFA episode 4: 'Solana better than Bitcoin'

This and more Nish and I discussed in episode 4 of the NFA Podcast (Not Financial Advice, or Nish, Frackers and Others), noting especially her extensive analysis of the Solana platform, which goes beyond just discussing the price of the day - as I like to do when her token favorites drop.

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EU says to invest two hundred billion in AI, but how?

The European Union announced this week at the AI Action Summit in Paris that it will invest two hundred billion Euros in the development of AI. Curious clicking on the link leads directly to a deleted YouTube video: 'Video removed by the uploader'. These brainiacs are going to invest two hundred billion Euros of taxpayer money in AI?

One striking aspect of the story, because serious plans are as yet unobtainable, is the creation of 'AI Gigafactories', or large-scale data centers to serve as the backbone for European AI development. When politicians start spouting texts about "hundreds of billions of investments" and empty phrases like "AI Gigafactories," because data centers are apparently not sexy enough anymore, it is advisable to be vigilant.

Of course, the European rhetoric is a reaction to the ambitious American Stargate project. That too is weighed down by a Boy Scout objective like "to build and develop AI - and specifically AGI - for the benefit of all humanity."

The communique states that priorities include “ensuring AI is open, inclusive, transparent, ethical, safe, secure and trustworthy, taking into account international frameworks for all” and “making AI sustainable for people and the planet”.
It is as if miss World and Buzz Lightyear were handing in a homework assignment together.

The Guardian wrote up a clear summary of the AI summit, with three things standing out: first, the global recognition that AI is having a huge impact on society and the economy; second, that developments in AI are accelerating; and, unfortunately, third, that there is no consensus on how to regulate developments internationally.

The fear among entrepreneurs in Europe is that bureaucrats without substantive expertise will distribute the planned budget, which will result in wasted money and slow implementation.

Smarter European approach: embrace open source AI

A better approach would be to not simply spend these funds on infrastructure or vague programs, but to invest in AI companies working with open-source technologies, not based on but inspired by China's DeepSeek. By starting with a fully open-source codebase, including transparent training data, the EU can build an AI ecosystem that is widely accessible to large companies, startups, researchers, businesses and hopefully even individual developers.

The most practical approach would be the creation of a fund to invest in AI applications that build on this open-source base. This would ideally be done in partnership with existing investment funds in the market to avoid wasting taxpayer money, rather than a top-down model in which the EU itself tries to drive innovation.

The current trend within AI shows that most investment is going to large language models (LLMs), with companies like Meta and Microsoft spending tens of billions a year on AI development. This means that if Europe is not more strategic with its investment, it risks remaining behind.

Focus on open-source AI and a smart investment model rather than a purely infrastructure-driven approach could yet help Europe achieve a competitive and sustainable AI ecosystem. But if the strategy is not sharply translated into tactical and operational decisions soon, this historic opportunity will get bogged down in inefficiency and political rhetoric.

Elon Musk's OpenAI bid not for real

Elon Musk has announced his intention to make a nearly $100 billion bid for OpenAI, but the question is whether this is a serious acquisition proposal or a strategic move to thwart his archenemy Sam Altman. Musk, who co-founded OpenAI but later left acrimoniously, vehemently opposes OpenAI's transition from a nonprofit to a commercial company. A bid of this size would make it more difficult for OpenAI to move the shares held by the non profit organization to regular commercial shareholders.

A major complication is that Microsoft owns 49% of the shares in OpenAI, meaning Satya Nadella's company has a decisive vote in any acquisition. For Microsoft, a sale would raise nearly $50 billion, but the company also has a strategic stake in OpenAI because most of its AI infrastructure runs on Microsoft Azure. This makes it unlikely that Microsoft will stand and cheer when OpenAI is acquired, unless a deal is struck in which Musk's AI company XAI along with OpenAI becomes a major customer of Microsoft.

Remarkably, Sam Altman himself owns no shares in OpenAI, giving him little direct influence over an acquisition. This highlights OpenAI's unusual governance model, with control largely in the hands of the foundation that founded the company. Musk's bid therefore seems less a serious attempt to acquire OpenAI and more a tactical move to disrupt Altman's plans and make OpenAI's future uncertain. Surely investors will be scratching their heads before they will fork over the forty billion sought by Altman on a valuation of three hundred billion in this situation.

You need a search engine to make sense of Google Gemini's choices. 

AI UI is horrible

You'd almost forget in all the fuss to take a good look at OpenAI's products. MG Siegler did not hold back about ChatGPT's sadly tuneful interface:

"Well, now we're up to eight options – six in the main drop-down and still those same two "left-overs" in the sub-menu. And technically it's nine options if you include the "Temporary chat" toggle."

At Google, the user interface (UI) is just as horrible. The makers of the most Spartan, and thus most successful, search engine ever, have managed to turn their ChatGPT competitor Gemini into an incomprehensible AI menu. It is downright woeful, because there are extraordinary capabilities hidden beneath this wretched interface. See, for example, how Google AI Studio phenomenally explains how Photoshop works.

So I asked Google Pro 1.5 Deep Research, what a name, to produce an investment strategy for the European Union based on literature research. A few minutes later, Deep Research produced this Google Doc. Far from perfect, but better than anything produced so far by the EU.

Ethereum under fire

Ethereum, for years the leader in the world of smart contracts and after Bitcoin the crypto currency with the highest market cap, is at a crossroads. Despite the rising Bitcoin price and optimism in the crypto market, especially since Trump's election victory, Ethereum remains far behind and is trading even lower than a year ago.

Ethereum's share price is suffering from the rise of competitors such as Solana and Sui

What are the causes?

  • Lack of major updates: after "The Merge" (the switch from Proof-of-Work to Proof-of-Stake), there has been no new breakthrough.
  • Increasing competition: Solana, Sui and Aptos are gaining ground with faster and cheaper transactions.
  • Negative publicity: Ethereum founder Vitalik Buterin's recent tweet about communism and decentralization was taken out of context and caused unnecessary uproar.

Ethereum is still seen as a fundamentally strong blockchain, but it may lose more and more market share to newer platforms that are more responsive to users' current needs.

Huge livestream error, token price rises?

In the third episode of the NFA Podcast, which Nisheta Sachdev makes with yours truly, she surprised me with the news that NEAR Protocol's token price had risen after a team member accidentally shared the wrong screen of his computer during a livestream, unwittingly treating viewers to carnal intimacy of the eighteen-plus genre.

The crypto world is known for its unpredictable market reactions, but what happened next was exceptional even for crypto: the price of NEAR rose 5.6% to $3.50. While it cannot be proven that the livestream incident is directly responsible for the price increase, it again raises the question of how much influence, if any, "fundamentals" have on the crypto market?

If a blunder like this can drive up the price, it means the market is guided more by hype than by the true value of a project. Even the Tinder Swindler, infamous since the Netflix documentary, is launching his own token. It is leading to increasing frustration among professional developers and investors in the blockchain world.

Nish explains the Near livestream incident

GameStop considers buying crypto

GameStop, the company that was bailed out by retail investors in 2021 during the WallStreetBets revolt, is now considering investing in Bitcoin and other crypto-assets. By the way, the movie about GameStop is particularly worth seeing, with splendid roles by Pete Davidson and Seth Rogen, among others.

San Francisco overrun by startup teenagers

When incubator Y Combinator recently had a party, the platters went around with glasses of soda instead of alcohol: many startup founders were simply too young to legally drink alcohol. San Francisco's startup scene is flooded with very young AI entrepreneurs, many of whom left college to start their own companies.

The cost of university education in the U.S. has risen so much that despite the low success rate, entrepreneurship is a legitimate option. Outside the U.S., university education often remains a more logical route because the cost of a university education is much lower and the funding and exit opportunities for startups are not as great than in Silicon Valley.

That and much more in the third episode of the NFA Podcast, in which I also share how my experiment with investing one hundred dollars last February went down, exclusively in tech stocks.

For the hasty viewer and clicker

00:00 Introduction to NFA Podcast and Hosts Nisheta and Michiel 

01:42 Surprising News in Crypto: Near Protocol Incident 

03:53 Market Reactions and Near Token Performance 

05:22 Ethereum's Market Sentiment and Fear Index 

08:09 Ethereum's Performance Compared to Other Blockchains 

09:29 Market Predictions and New Money Flowing In 

11:35 GameStop's Potential Move into Crypto 

12:42 Upcoming Launches: Tinder Swindler's Token 

13:06 Elon Musk's Bid for OpenAI 

14:44 The AI Summit and Global AI Treaties. 

16:49 Youth and Startups: The College Dropout Phenomenon 

20:44 Market Spotlight: Insights and Predictions 

22:34 Investing Strategies and Personal Experiences. 

24:44 Supermicro, Palantir and Nvidia 

25:20 Dutch Trance NFA Podcast Theme 

25:41 NFA Dutch Trance Theme Review 

25:59 Indian NFA Podcast Theme 

26:25 Indian NFA Theme Review

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The NFA Podcast is live and AI company with 1-page website is worth $20 billion

Despite the rise of competitors such as DeepSeek, OpenAI has not lost any traffic, unexpectedly growing faster than ever and leaving all competitors behind. The question is why OpenAI nevertheless needs $40 billion. We discuss this and much more in the new weekly podcast we are launching this weekend: The NFA Podcast, with co-presenter Dr. Nisheta Sachdev. The first two episodes have been online since this morning.

Also in this newsletter, we look at the final breakthrough of Palantir and the mysterious company SSI, which does not appear to have a product out, yet is valued at $20 billion.

Nish discusses the tokens PAIN and It Will Go UP, I talk about OpenAI's funding and the success of Palantir

New weekly podcast: NFA

In episode 1(viewable on YouTube here or on Spotify here), Nisheta and I introduce ourselves, talk about how we got into the tech and crypto world, and discuss the latest trends in web3 and tech, with a special focus on AI. According to Nisheta, the link between AI and crypto represents the definitive breakthrough of blockchain in the consumer market.

In episode 2(viewable on YouTube here or on Spotify here), we dive deeper into specific crypto projects such as PAIN, the token that last week raised $40 million in an instant and returned money to investors. We also discuss Palantir's extraordinary quarterly results and show footage of CEO Alex Karp, who in a jolly mood declares war on opponents of America and the West....

The name NFA was coined by Nisheta and stands for "Nish, Frackers & Anon" or "Anyone Else," because we hope to have interesting guests, but it also stands for "Not Financial Advice": we absolutely do not want to give financial advice.

Weekly, Nish and I discuss the most notable developments in crypto and tech, without trying to be pedantic or give investment advice. We share our thoughts, opinions and things we find interesting, such as interesting tokens and stocks that have come on our radar.

Whether you are a seasoned tech and crypto expert or an enthusiastic beginner, our goal with the NFA Podcast is to create a place to explore the market together and share experiences. All suggestions and feedback are welcome.

Who is Dr. Nisheta Sachdev?

Dr. Nisheta Sachdev, also known as "The Crypto Dentist," is a prominent figure in the blockchain world. Her inclusion in the "40 under 40" list underscored her breakthrough in this fast-changing world, where Nisheta stands out for her lucid analyses.

Nisheta Sachdev, blockchain by day, dentist by night - or vice versa

Nisheta came into contact with crypto in 2018 and worked full-time in the sector from 2020, when she and her sister Nikita started the soon-to-be leading crypto marketing company Luna PR in Dubai. Within the blockchain sector, Nisheta became a passionate advocate for technologies such as cryptocurrencies, NFTs, the metaverse and AI. Nish has a unique ability to articulate complex concepts simply, making her a popular and respected speaker at international conferences.

Despite her keen interest in the crypto and technology sectors, Nish recently answered a higher calling and resumed her studies in medicine, specializing in reconstructive surgery of patients who have lost parts of their jaw and face, mostly due to forms of oral cancer. For those interested in learning more about Nisheta, I recommend this recent interview with her on YouTube.

ChatGPT resurrected from never being gone

After a period of stagnation, ChatGPT has returned to strong growth, leaving competitors such as Bing, Gemini, Claude and Perplexity far behind. They are "Boom Times For ChatGPT."

By January 2025, ChatGPT reached 3.8 billion visits on desktop and mobile, more than double that of Bing and well above the rest. This marks a major turnaround after more than a year of stagnation. The upturn comes at a crucial time, when OpenAI is being challenged by DeepSeek.

DeepSeek, which rapidly gained popularity at the end of January, achieved 49 million visits in just one day, a third of ChatGPT's audience, despite the company being barely known outside China. This shows that new competitors can gain ground at lightning speed.

OpenAI benefits from ChatGPT's strong brand name. To reinforce this position, it is launching its first Super Bowl commercial today, while Google is doing the same for Gemini. If OpenAI succeeds in positioning ChatGPT as the standard for AI, it can maintain its lead even as chatbots become an everyday product worldwide.

Which competitors?

ChatGPT is way ahead of the competition. In January 2025, ChatGPT had 3.8 billion visits, compared with 1.8 billion for Microsoft Bing, 267 million for Gemini, 99.5 million for Perplexity and 76.8 million for Claude. Although these figures reflect Web traffic only, they show that OpenAI has built a huge lead. It's especially painful for Google, which just can't seem to "redirect" traffic from its search engine to Gemini.

OpenAI's quest for tens of billions

Journalist and investor M.G. Siegler, who is particularly prolific as a blogger again these days, explored why OpenAI needs $40 billion and how the relationship between OpenAI, Microsoft and Nvidia fits together in the excellent piece "The IPOpenAI."

As discussed last week, OpenAI plans to raise $40 billion, primarily to fund the massive computing power needed to train and run its AI models. Although there is a battle going on for talent in the AI sector which means staffing is also not cheap, by far the largest portion of this amount is going toward computing infrastructure such as power-hungry servers and data centers.

OpenAI in battle with Big Tech

The Big Tech companies, with Microsoft, Meta and Amazon leading the way, can invest tens of billions of dollars annually in their existing cloud infrastructures, funded from their huge profits. To compete, OpenAI must also raise tens of billions and has now ended up with SoftBank and sovereign wealth funds, mostly from the Gulf region.

To put it in perspective, according to Reuters, OpenAI expects an annual revenue of nearly $12 billion in 2025 at a loss of possibly $15 billion, at least if margins do not improve. It's going up against Meta with $200 billion in annual revenue, Microsoft with $250 billion, Alphabet with $300 billion and Amazon with even more than $500 billion in revenue this year. Even Oracle ($58 billion) and Salesforce ($38 billion) are profitable giants compared to the heavily loss-making OpenAi.

OpenAI raises more than historical IPOs

If OpenAI manages to raise $40 billion, it would be the largest amount ever raised by a company, even more than oil giant Saudi Aramco's $30 billion in 2019. By comparison, Visa raised nearly $20 billion in 2008 and Facebook $16 billion in 2012. But Facebook (now called Meta) did so at a valuation of under $100 billion, or less than a third of what OpenAI now considers itself worth.

The trend in the IPO market is that the biggest promising companies are choosing to remain private, thanks to the abundance of available capital. OpenAI's current funding round is an example of this shift, with companies raising huge sums of money without going public.

It is unlikely that OpenAI will succeed in becoming profitable any time soon, and then it will be a hell of a job next year to find parties willing to step in at a valuation of say $500 billion. It won't be possible to go much lower if SoftBank comes in now at $300 billion. How many investors will dare to explain to their shareholders next year that they are investing roughly $50 billion in OpenAI and not even getting ten percent of the shares in return?

Nvidia always wins

If SoftBank invests the $40 billion OpenAI wants, OpenAI will pay most of that money to Microsoft, on whose cloud services (Azure) it largely depends. In turn, Microsoft, with hat in hand and checkbook in its inside pocket, will be knocking on the door of Nvidia, which supplies the necessary chips and data center infrastructure.

In the AI world, it's simple: when it rains money at the top, it eventually pours down at Nvidia. SoftBank's pennies will end up, via OpenAI and Microsoft, at Nvidia..

This is precisely why I wrote last week that it makes no sense to expect Nvidia's revenue growth and profit margin to decline in the coming years; all doomsday scenarios from Wall Street notwithstanding. Microsoft is investing $85 billion in AI this year and Meta $65 billion. There are reportedly countries, not companies, that will also place such hefty orders with Nvida over several years.

The Big Tech companies have no choice but to order what Nvidia can deliver, because missing the boat in AI could mean the end of the supremacy of Microsoft, Google, Oracle, Salesforce and Amazon Web Services. But note that this is No Financial Advice!

Palantir's share price already rose 47% this year, especially striking compared to mere share price declines at Nvidia, Apple, Microsoft and Google

Winner of 2025 so far: Palantir

An exception in the software sector struggling with the rise of AI is Palantir, which I have written about many times. The data analytics company remains secretive, but it seems increasingly likely that Palantir is one of the few software companies in the world that, through the use of AI, manages to both improve its software and reduce operating costs at the same time.

Despite selling relatively little Palantir software in Europe due to privacy concerns, the stock has risen 350% in a year. This week Palantir announced impressive financial results, again leading to a hefty rise in its share price: 22% in one day.

For the fourth quarter of 2024, the company reported revenue growth of 36% over the previous year, with total sales of $827.5 million. The U.S. market contributed significantly to this, growing 52% year over year. Since 2009, the company has secured more than $2.7 billion in U.S. government contracts, and it is likely that under President Trump, the U.S. government is going to take an even much larger cut from Palantir.

Morgan Stanley raised the rating for Palantir from "underweight" to "equal weight"and adjusted the price target from $60 to $95, referring to the strong quarterly results and positive outlook for 2025. Nonetheless, concerns remain about the high valuation of the stock, which sits at a stratospheric price-to-earnings ratio nearing 600. Palantir has been part of the S&P 500 and the Nasdaq 100 since last year, so it will also have a stronger impact on the prices of index funds and ETFs.

Palantir has been led for years by quirky co-founder Alex Karp, who said confidently at the presentation of the quarterly figures that Palantir likes to help governments and goes far in doing so: 'when it's necessary to scare enemies and on occasion, kill them..'

Andreessen Horowitz invests (de)centrally

Due to the success of CEOs like Karp and before him people like Bill Gates, Steve Jobs and Elon Musk, the perception has emerged in the tech world that centrally managed companies are the most successful and best at innovating. In this excellent piece, Miles Jennings of investment firm Andreessen Horowitz argues the opposite. Yet even Andreessen Horowitz still invests the majority of its billion-dollar budget in traditional centrally organized companies, especially in the AI world.

No product, 1-page website: worth $20 billion

Safe Superintelligence, an unusual AI startup with a one-page website co-founded last year by former chief scientist and co-founder of OpenAI Ilya Sutskever, is fund raising at a valuation of at least $20 billion. Small detail: the company is not yet making revenue and apparently does not yet have a product.

Sutskever's track record and SSI's unique approach are enough reason for great interest among investors. I previously wrote about the extraordinary scientist Sutskever, who became famous in the tech world mainly because Elon Musk and Google founder Larry Page broke off their friendship over a dispute over whose company Sutskever would join.

Musk can get into an argument walking into an empty house, but his fight with Page showed that Sutskever must have special qualities. Musk said of this in Lex Fridman's podcast, "It was mainly Demis Hassabis (ex-founder DeepMind, now head of AI at Microsoft, MF) on one side and I on the other, both trying to recruit Ilya, and Ilya hesitated. In the end, he agreed to join OpenAI. That was one of the hardest recruiting battles I've ever experienced, but that was really the key to OpenAI's success."

The new funding round would quadruple SSI's valuation from the previous round less than six months ago (!), when the company was still valued at $5 billion and raised $1 billion from five investors, including Sequoia Capital, DST Global and, of course, Andreessen Horowitz. There are apparently enough investors in Silicon Valley who would rather buy a reasonable stake in SSI at a $20 billion valuation, than be fobbed off with a smurf sized share in OpenAI at a $300 billion valuation.

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AI invest technology

Unexpected winners and losers after the week of DeepSeek

How DeepSeek would like the world to think about the youthful team. Image created with Midjourney.

It was the week of DeepSeek's CEO Liang Wenfeng, who seemed to appear out of nowhere to scare the hell out of everyone from Silicon Valley to Washington to Wall Street.

Apparently, not everyone has noticed that China is making the leap from an agricultural to a post-industrial society in record time. What chuckles there must have been in Beijing and Shanghai when Chinese New Year was celebrated last week.

Last week I wrote that Silicon Valley was rudely awakened by DeepSeek, and on Tuesday I added that Wall Street had overreacted. Today an attempt to chart the winners and losers, short- and long-term, of the rise of DeepSeek.

Who is Liang Wenfeng?

But first: who is Liang Wenfeng, the founder and CEO of DeepSeek? What is special about Wenfeng, as a startup founder, is his background as the founder of a hedge fund: High Flyer

"When we first met him, he was this very nerdy guy with a terrible hairstyle talking about building a 10,000-chip cluster to train his own models. We didn’t take him seriously" one of Liang's business partners told the Financial Times.

During his time at High Flyer, Liang began buying Nvidia equipment and learned the various ways to develop algorithms for AI applications, lessons he now applies at DeepSeek. More remarkably, DeepSeek's sudden success is driven by Gen Z newcomers from diverse backgrounds. Liang likes originality and creativity from young smart people and values experience a lot less.

Liang also talked about hiring literature buffs on the engineering teams to refine DeepSeek's AI models. "Everyone has their own unique path and brings their own ideas, so there's no need to direct them." This is especially interesting to read in the week that Mark Zuckerberg boasts that he is getting rid of all diversity programs at Meta, in an effort to appease the Trump administration.

OpenAI worth $300 billion after all?

According to the Wall Street Journal, Japan's SoftBank would lead a $40 billion investment round in the ChatGPT maker, part of which is to be spent on its Stargate AI infrastructure project. With a valuation of $300 billion, OpenAI would become the second most valuable startup in the world, behind Elon Musk's SpaceX, the major rival of OpenAI CEO Sam Altman.

It would be downright amazing if Altman manages to raise money for his money losing company at that stratospheric valuation, in the week when its vision and technological architecture are being doubted worldwide. But let us not overestimate SoftBank: it is the same club and the same man, Masayoshi Son, who burned tens of billions in WeWork; all the way to bankruptcy. The question is: why won't anyone but SoftBank step in at this valuation?

Is Stargate science fiction?

Both OpenAI and SoftBank have declared they will invest tens of billions in Stargate, the $500 billion budgeted AI infrastructure project that is supposed to seal American hegemony in technology. The crazy thing is that OpenAI doesn't have that money at all, and neither does SoftBank. So when SoftBank invests in OpenAI, which thereby invests in Stargate, it's basically filling one hole with another one.

The Verge published a lucid analysis of the Stargate project. If Stargate fails, it would not simply be the end of a startup. It would be an expensive reality check for an entire industry that claims to transform the world through pure computing power.

Altman likes to present himself as the protagonist in a classic science fiction story: the visionary who promises to transform society through technological power. 

In say a year, we will know whether Stargate was the beginning of America's AI revolution, or just a techno-optimistic fantasy that could not survive in the real world.

DeepSeek's actual costs

Then to a much-discussed topic: the costs allegedly incurred by DeepSeek to develop the acclaimed R1 model. The wildest stories are circulating about this, while DeepSeek itself has been fairly transparent about it:

"Finally, we again highlight the economic training cost of DeepSeek-V3, as summarized in Table 1, achieved by our optimized co-designs of algorithms, frameworks and hardware.

During the pre-training phase, training DeepSeek-V3 on every trillion tokens requires only 180K H800 GPU hours, or 3.7 days on our cluster with 2048 H800 GPUs. This completes our pre-training phase in less than two months and takes a total of 2.664M GPU hours. Combined with 119K GPU hours for context length extension and 5K GPU hours for post-training, DeepSeek-V3 costs a total of only 2.788M GPU hours for full training.

If we assume that the rental cost of an H800 GPU is $2 per GPU hour, our total training cost is only $5.576M. Please note that the above costs include only the official training of DeepSeek-V3 and not the costs associated with previous research and tear-down tests of architectures, algorithms or data."

I highlighted the crucial part: all previous costs are not included in the cost calculation. It's like calculating the cost of a bodybuilder's meals on competition day without including how many meals it took to get to the competition. 

Cheaper AI: who benefits?

Even more interesting than the cost aspect, DeepSeek offers the ability to install the model locally and develop on it. Microsoft CEO Satya Nadella pointed directly to Jevon's Paradox.

In short, precisely because of the reduced cost, the use of an innovationwill increase. It looks like Nadella is going to be right about that. In the long run, the "commoditization" of AI models and cheaper inference as demonstrated by DeepSeek will benefit Big Tech. Microsoft, for example, needs to spend less on data centers and GPUs, while benefiting from increased AI utilization through lower inference costs.

Amazon is also a big winner: AWS has not developed its own high-quality AI model, but that doesn't matter when there are high-quality open-source models available that it can offer at much lower cost.

Apple also benefits

Drastically reduced memory requirements for inference make AI on iPhones much more feasible. Apple Silicon uses a unified memory architecture, with the CPU, GPU and NPU (neural processing unit) accessing a shared memory pool, argues Stratechery in an excellent piece. This effectively gives Apple's hardware the best consumer chip for inference. Nvidia's gaming GPUs, for example, reach a maximum of 32GB of VRAM, while Apple's chips support up to 192GB of RAM.

Meta the biggest winner

AI is central to Meta's long-term strategy, and one of the biggest obstacles to date has been the high cost of inference. If inference and training become much cheaper, Meta can accelerate and expand its AI-driven business model more efficiently. 

Sensibly, Zuckerberg has reportedly set up several war rooms to determine how Meta will react to the introduction of DeepSeek. Whereas in the short term DeepSeek is thought to be a threat to Meta's AI strategy with its Llama LLM, a structural reduction in AI development costs will actually lead to a huge advantage for Meta, which is on track to invest $65 billion in AI development this year alone.

Most of that is spent on hardware and data centers. If that kind of investment can be minimized by imitating DeepSeek's approach, Meta will see its net profits increase substantially without weakening its competitive position.

Google the loser?

While Google also benefits from lower costs, any change from the current status quo is likely to be a net detriment to Google. Every search in OpenAI, DeepSeek or a Meta agent, comes at the expense of a search on Google's search engine.

Despite all its efforts and hundreds of acquisitions over the last few decades, Google still depends largely on the search engine for revenue and profits. It remains to be seen whether Google will succeed in "redirecting" that traffic from the AI agents and chatbots the world so eagerly uses, back to Google's AI tools.

Nvidia not defeated by DeepSeek

Despite DeepSeek's breakthrough, Nvidia has two moats, according to Stratechery:

  • CUDA is the preferred programming language for anyone developing these models, and CUDA works only on Nvidia chips.
  • Nvidia has a huge lead when it comes to the ability to combine multiple chips into one large virtual GPU.

These two lines of defense reinforce each other. As mentioned earlier, if DeepSeek had had access to H100s, they probably would have used a larger cluster to train their model simply because it was the easiest option. The fact that they did not and were limited by bandwidth dictated many of their decisions in terms of model architecture and training infrastructure.

DeepSeek has shown that there is an alternative: heavy optimization can achieve impressive results on weaker hardware and with lower memory bandwidth. So paying more to Nvidia is not the only way to develop better models.

However, there are three factors that still work in Nvidia's favor.

  • First, how powerful would DeepSeek's approach be if applied to H100s or the upcoming GB100s? Just because they have found a more efficient way to use computing power does not mean that more computing power would not be useful.
  • Second, lower inference costs are likely to lead to wider use of AI in the long run. Microsoft CEO Satya Nadella recently confirmed this in his late-night tweet about Jevon's paradox.
  • Third, reasoning models such as R1 and o1 derive their superior performance from using more computing power. As long as AI's strength and capabilities depend on more computing power, Nvidia will continue to benefit.

Also, with a larger market, Nvidia will benefit from revenue growth in cheaper chips, although it will be hampered in that market by competitors such as AMD. 

My subjective "Spotlight on AI" basket took relatively few hits last month.

DeepSeek thought 28 seconds about a hot dog

Joanna Stern of the Wall Street Journal did a funny test of DeepSeek and discovered how it differs from OpenAI's ChatGPT and Anthropic's Claude. Unlike OpenAI's reasoning models, DeepSeek shows its full thought process. When asked if a hot dog is a sandwich, DeepSeek thought about it for 28 seconds and responded with: "First, I need to understand what the definition of a sandwich is." It illustrates that there is no specific form of AI that works best for all issues.

The advance of AI throughout society is irreversible and with DeepSeek's approach, which will be copied frequently, the market will only grow larger. Therefore, despite all the doom-and-gloom news last week on Wall Street, it is fascinating that over the entire month of January, the performance in what I consider to be AI stocks has been better than one would expect. 

ARM's 29% rise is remarkable and is largely based on ARM's participation in Stargate. The remarkable thing is that SoftBank owns ARM and therefore there is a good chance that Masayoshi Son will use the shares in ARM as collateral when raising loans, which SoftBank can then use to pay for investments in OpenAI and in Stargate. Time will tell whether this approach leads to a skyscraper, or a house of cards.

This is how the main parties of the DeepSeek crash closed on Wall Street yesterday

What did America's tech billionaires buy from Trump?

President Trump has often expressed hostility toward major technology companies and their leaders, calling Facebook an "enemy of the people" and labeling Jeff Bezos as "Jeff Bozo," for example. Yet these gentlemen were in the front row at the inauguration, having lapped up significant sums of money. This was obviously no coincidence, and the technology sector wants something back from Trump soon. Bloomberg looked at each of them and mapped out what they each want to accomplish.

As we take stock of the performance of Big Tech stocks in the month of January at the end of the second week in Trump's second reign, it appears that the short-term results are not yet what Trump's new tech pals had hoped for. Despite all of Trump's presidential decrees and appointments, stock market results have been rather mixed, to say the least.

What is particularly striking is that investors are sharply divided over the tech sector as a whole. Meta rose mainly due to good quarterly earnings, but how could Microsoft fall while Google rose? Did Apple fall in January due to the possibility of a trade war with China? It is strange that the financial media was mostly focused on last week's results and ignored what happened in terms of price swings earlier in the month. Consider, for example, Palantir, up nearly 10% in January and already up 385% in the last year.

Huang at Trump, Liang at Li Qiang

President Trump and Nvidia CEO Jensen Huang discussed the impact of DeepSeek and possible restrictions on AI chip exports to China during a meeting at the White House on Friday. Huang will certainly have been thinking about the possible impact on Nvidia's stock price.

DeepSeek's Liang Wenfeng also met with an important politician this week: as the sole representative of the AI industry, he met with Premier Li Qiang, China's second most powerful man. Both meetings underscore the importance of technology to economic power in the new world order defined in part by AI.

Palantir CEO Alex Karp told CNBC that the rise of DeepSeek is a sign that the U.S. needs to work faster to develop advanced AI. "Technology is not necessarily good and can pose threats in the hands of adversaries. We need to recognize that, but that also means we need to run harder, go faster and make a national effort."

Boring: success begins with homework

Europe is no longer a consideration in the geopolitical shuffling between continents; how can it be, with so much talent among half a billion people?

Malaysian comedian Ronny Chieng summed up the West's problem perfectly: people are willing to die for their country, but they don't want to do homework for it. Chieng is talking about America, but it applies just as well to Europe.

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AI invest

Wall Street panic over DeepSeek exaggerated; Nvidia shares suffer historic record loss

On Sunday, I wrote that DeepSeek-R1 was a revolutionary, good and cheap AI product from China. But I had no idea that a day later Wall Street would react as if aliens had launched an attack on our planet.

The homepage of the Wall Street Journal on 'the day after' the DeepSeek crash

Yesterday, the technology sector experienced a sharp downturn, to put it mildly, with the chip sector hit the hardest. Nvidia's share price fell 16.9%, resulting in a loss of $593 billion in market capitalization. Broadcom saw a 17.3% drop, accounting for a loss of $198 billion. Advanced Micro Devices (AMD) lost 6.3%, a loss in value of $12.5 billion. Taiwan Semiconductor Manufacturing Company (TSMC) fell 13.2%, down $151 billion, and shares of Arm Holdings fell 10.2%, a $17 billion hit. Marvell Technology experienced the steepest decline, losing 19.2%, a whopping $20 billion. 

Apple smiling third

The drop pushes previously high-flying chipmaker Nvidia to third place in total market cap, behind Apple and Microsoft. Last Friday, it was still in first place. Apple now has the highest market value with $3.46 trillion ($3,460 billion ), followed by Microsoft with $3.22 trillion and Nvidia with $2.90 trillion. Shares of Apple, which has less exposure to AI, rose 3% Monday, while the tech-heavy Nasdaq fell 3%.

Apple's rise is similar to a house rising in value because the neighbor's roof is on fire. Intrinsically, of course, nothing has changed in Apple's value, and a trade war with China still lurks, which would hit Apple hard. Bur that's for another day.

Barron's was the voice of reason yesterday

DeepSeek hits Wall Street

Investors blame the sell-off on the rise of DeepSeek, a only one year old Chinese company that last week unveiled a revolutionary Large Language Model (LLM), named DeepSeek-R1. DeepSeek's model is similar to existing models such as OpenAI's ChatGPT 4o or Anthropic's Claude, but is said to have been developed at a fraction of the cost. It also costs a fraction for customers compared to ChatGPT and Claude.

This has rightly led to concerns in investor circles that the U.S. strategy of heavy investment in AI development, often referred to as a "brute force" approach, is becoming obsolete. This brute force method uses extensive computing power and large data sets to train AI models, with the goal of achieving higher performance due to its massive scale. It is a billion-dollar approach that I wrote about earlier.

DeepSeek 'the Sputnik moment for AI'

A Wall Street Journal editorial clearly summarizes the competitiveness of DeepSeek-R1 with a catchy example:

"Enter DeepSeek, which last week released a new R1 model that claims to be as advanced as OpenAI's on math, code and reasoning tasks. Tech gurus who inspected the model agreed. One economist asked R1 how much Donald Trump's proposed 25% tariffs will affect Canada's GDP, and it spit back an answer close to that of a major bank's estimate in 12 seconds. Along with the detailed steps R1 used to get to the answer."

Venture capitalist and former entrepreneur (Netscape) Marc Andreessen described the launch of DeepSeek-R1 as the Sputnik moment for AI; similar to the moment the world realized the Soviet Union had taken a lead in space exploration.

OpenAI reacts anxiously

OpenAI CEO Sam Altman put on a brave face:

"DeepSeek's R1 is an impressive model, particularly around what they're able to deliver for the price. We will obviously deliver much better models and also it's legitimately invigorating to have a new competitor! We will pull up some releases."

(I myself took the liberty of inserting the capital letters Altman avoids, because otherwise I find it too annoying to read.)

Altman puts on a brave face, but in the last sentence it appears that OpenAI is accelerating product releases under pressure from DeepSeek. Or without capital letters just like him: altman blinked. Legit, you know, bro.

Sweat-soaked body warmers

They need to exhale and tuck in their body warmers up: a
on Wall Street. The claim that DeepSeek developed their R1 model with only a $5 million investment is not verifiable, and the Chinese media are not known for their transparency, nor for their critical approach to Chinese initiatives.

Western companies are unlikely to adopt Chinese AI technology, with all the geopolitical tensions and regulatory constraints, especially in critical sectors such as finance, defense and government. Chief Information Officers are increasingly cautious about integrating Chinese technology into critical systems. In fact, it only happens now if there is no other alternative.

Despite recent market volatility, major technology companies such as Microsoft, Google, Amazon and Oracle continue to rely on high-performance chips for their AI initiatives. No company is canceling its orders with Nvidia because DeepSeek has a different approach.

Because there is currently no Western equivalent of DeepSeek's R1 model that is fully open-source (as opposed to "open-weight," a term I discussed in my Sunday edition ), these companies will continue to invest in expensive hardware and huge data centers.

This means that shareholders in companies such as Nvidia and Broadcom can expect a recovery in stock prices in the coming months, perhaps weeks.

This is how the main victims of the DeepSeek crash closed on Wall Street yesterday

Panic at the vc's

The real impact of DeepSeek's innovation will likely be felt more profoundly by venture capital funds that have poured billions into AI startups without clear revenue models or, as VCs always so delightfully know how to put it from the comfort of their armchairs: a clear path to profitability.

Earlier I highlighted the precarious financial situation of OpenAI, which seems headed for a $15 billion loss this year: that's $41 million per day, $1.7 million per hour and $476 per second. Partners at Lightspeed, which last week invested $2 billionin Anthropic, the developer of DeepSeek-R1 competitor Claude, at a valuation of as much as $60 billion, will have slept terrible last night.

Does DeepSeek dare a frontal attack?

DeepSeek's approach to AI development, especially its emphasis on efficiency and the possibility of local implementation, running the model on your own computer, is remarkable. But globally, the AI community can only benefit from this methodology if DeepSeek chooses to release its underlying code and techniques. So far, DeepSeek-R1's codebase has not been made public, raising questions about whether it will ever be. It's the difference between open-weight and open-source I wrote about on Sunday.

If China decided to fully open-source DeepSeek-R1, it would pose a massive challenge to the U.S. tech industry. An open-source release would allow developers worldwide to access and build upon the model, greatly reducing the competitive advantage of U.S. companies in AI development.

This could lead to a democratization of advanced AI capabilities, reducing reliance on closed models such as from OpenAI and Anthropic and expensive infrastructure such as from Nvidia, Oracle, Microsoft and Amazon Web Services. Such a move would totally disrupt the current market dynamics and force U.S. companies to completely change their strategies in funding AI research and development.

China rules, Wall Street pays

How big an impact the technology sector has on the U.S. economy was once again evident yesterday when the total loss on Wall Street was estimated at a trillion dollars: a staggering thousand billion dollars.

It leads to the ironic conclusion that the first week of "America First" President Trump ends with a moment when China can determine whether to throw the U.S. economy into disarray. Wall Street is now watching every move from Beijing like a dear in the headlights.

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AI technology

DeepSeek revolutionary: good, cheap AI product from China

OpenAI launched the AI agent Operator, initially useful for messenger and shopping services, while scientists such as Jan Leike and Nobel Prize winner Geoffrey Hinton are again warning of dangers of AI. Image created with Midjourney.

DeepSeek-R1, a new large language model from Chinese AI company DeepSeek, with a website that looks like a sleep-deprived intern pressed "enter" too quickly, has attracted worldwide attention as a cost-effective and open alternative to OpenAI's flagship o1. Released on Jan. 20, whether or not coincidentally on the weekend that "tout Silicon Valley" was eagerly clinging to the coattails of power in Washington, R1 excels thanks to "chain of thought" reasoning which mimics the problem-solving ability of humans.

Unlike closed models such as OpenAI's o1 and Anthropic's Claude, which this week raised another $2 billion from investors who are throwing pudding against the wall in AI hoping that some of it will stick, R1 is open-weight and published under an MIT license. That means anyone is free to build on the architecture. Unlike open source, the source code and training data used to build DeepSeek-R1 are not public, 

The model was developed for just five million dollars through algorithmic efficiency and reinforcement learning, significantly less than o1, despite U.S. export restrictions on advanced GPU chips, especially from Nvidia, on which U.S. competitors are primarily developing. Its affordability, with API costs more than ninety percent lower than o1, thus makes advanced AI more accessible to researchers with limited resources. It also offers a free chatbot interface with Web search capabilities, surpassing OpenAI's current features.

'Everyone is freaking out about DeepSeek'

By matching or even surpassing o1 in some benchmarks, R1 has highlighted China's advance in AI development. Its sudden rise has sparked discussions about the future of open, accessible AI and the need for international cooperation to move forward responsibly. 

International reactions to DeepSeek-R1 ranged from respect to dismay. Nature was analytical: 'DeepSeek-R1 performs reasoning tasks at the same level as OpenAI's o1 - and is open for researchers to examine.' MIT Technology Review remained tidy: 'The AI community is abuzz about DeepSeek R1, a new open-source reasoning model.' But VentureBeat said out loud what all of Silicon Valley was thinking: 'Why everyone in AI is freaking out about DeepSeek.'

By the way, anyone who asks DeepSeek about Tiananmen Square gets the reply, 'I am sorry, I cannot answer that question. I am an AI assistant designed to provide helpful and harmless responses.' Asked about the situation of the Uyghurs, a very elaborate answer first appeared that even used the word genocide, but a few seconds later that text was replaced by: "Sorry, that's beyond my current scope. Let's talk about something else.' DeepSeek wants to keep things light and breezy.

Stargate historic project in AI infrastructure

The focus on China's DeepSeek led to great chagrin from the American techno-elite, who wanted to use this very week to underscore American supremacy. OpenAI, Oracle, Japan's SoftBank and Emirates-based MGX are funding the Stargate Project, a $500 billion initiative described as the largest AI infrastructure project in history.

Announced by President Trump in the Oval Office, its goal is to build advanced data centers for AI in the US, which Trump says will create a hundred thousand jobs. They are a kind of Delta works forAI. The project currently has one hundred billion dollars in direct funding, with the remaining investment spread over four years. The first huge data center will be built in Texas.

It already led to bickering over Stargate funding between OpenAI CEO Sam Altman and Elon Musk. Forbes even made a timeline of the ongoing fitties between Altman and Musk, who should get into a boxing ring or a hotel room.

Will the real MGX please rise

In all the excitement, it was especially comical that overexcited investors bought the wrong stock in the belief that it is part of Stargate: biotech company Metagenomi (symbol: MGX) saw its share price shoot up even though it is not involved in Stargate. The MGX that does participate in Stargate, Abu Dhabi's sovereign wealth fund, this MGX, will have watched on in wonder.

It would be some feat if Trump succeeds in getting foreign investors to invest hundreds of billions in U.S. infrastructure with MGX and Japan's Softbank, without the U.S. taxpayer contributing. Investor Bill Gurley (Uber) publicly question ed the public-private partnership, which is unusual by American standards. The main question is whether Stargate will be accessible to all and who ultimately makes the decisions. OpenAI CEO Sam Altman often has problems with governance.

OpenAI with AI agent: Operator

In all the fuss over DeepSeek and Stargate, the news was snowed under that OpenAI this week introduced Operator, an AI agent that can independently navigate Web browsers and perform tasks such as online shopping, booking travel and making reservations. It marks the moment when AI agents are making their entrance into the mass market.

Operator uses OpenAI's Computer-Using Agent (CUA) model, which mimics human interactions with Web sites by using buttons, menus and forms. OpenAI is working with companies such as DoorDash, Uber and eBay for Operator to ensure it complies with their terms of use. 

Despite all its potential, Operator has limitations with more complex tasks such as banking and complex web interfaces or CAPTCHAs. Right now, unfortunately, it is only available to U.S. users on the ChatGPT Pro subscription of two hundred dollars a month, so I have not been able to test it myself.

Operator an echo of General Magic

OpenAI's Operator, nearly thirty-five years after the fact, is very reminiscent of the legendary company General Magic, known for the description as "the most important company to ever come out of Silicon Valley that nobody ever heard of. All of Operator's marketing copy seems to duplicate General Magic's slogans and claims from the early 1990s.

In the end, General Magic, which attempted to create a handheld computer with agent features before the Internet and digital mobile telephony got to mass adoption, proved too far ahead of its time. Like General Magic, Operator strives to integrate seamlessly into users' lives and function as a personal assistant and productivity booster.

For fans: a fine documentary was made about the rise and fall of General Magic, of which this is the trailer. The team behind General Magic was so special that dozens of books have been published and even a real feature film has been made in which they starred: Andy Hertzfeld was a prominent member of the team that developed the Apple Macintosh for Steve Jobs, after General Magic Tony Fadell became the developer of the iPod and co-creator of the iPhone at Apple, and Joanna Hoffman is such a special person that Kate Winslet went to great lengths to play her in Danny Boyle's film about Steve Jobs.  

Leike and Hinton with different warnings

In all the publicity about DeepSeek, Stargate and AI agents, the fact that two leading AI scientists once again warned against the misuse of AI with potentially disastrous consequences for the world snowballed. Professor Geoffrey Hinton, a leading figure in AI and winner of the 2024 Nobel Prize in Physics, discussed the risks of rapid AI developments in a fascinating conversation with his former student Curt Jaimungal. 

Hinton has frequently warned that AI could evolve and gain the motivation to make more of itself and autonomously develop a sub-goal to take control of the world without regard to humans.

The German Jan Leike, co-founder of OpenAI where he left disappointed, now puts it this way:: "Don't try to imprison a monster, build something you can actually trust!" I previously wrote extensively about Leike and Hinton's warnings in this blog post.