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AI crypto NFA Podcast technologie Tips

Zuckerberg jaloers op Instagram, OpenAI bouwt nieuw Twitter en Mantra verloor 5 miljard

Deze week werd opnieuw duidelijk dat leidende techbedrijven als Google, Meta en Nvidia, ondanks de rugwind vanuit het Witte Huis, steeds harder botsen met de rest van de samenleving, waardoor rechters en overheden vaker ingrijpen. Verder deze week:

  • OpenAI werkt aan eigen sociaal netwerk: Sam Altman test een AI-gedreven sociaal platform en drijft zijn vete met Elon Musk op de spits.
  • Meer hallucinaties in nieuwe AI-modellen van OpenAI: ze presteren beter qua logica, maar fantaseren vaker.
  • AI spoort olielekken op zee op: Slimme algoritmes analyseren satellietbeelden voor snellere detectie van vervuiling.
  • Netflix verbreekt records: hoogste kwartaalomzet ooit.

Overig nieuws:

  • Was Katy Perry stewardess of astronaut?
  • Vrouwen kiezen vriendinnen mede op basis van geur
  • Robots rennen halve marathon in Beijing
  • Tip: volg je vaardigheden, niet je passie

Zuckerberg’s rubberen ruggengraat

Eerst de pijnlijke onthullingen die aan het licht kwamen bij het onderzoek naar de praktijken van Meta, in de tijd dat het nog Facebook heette en concurrenten van de markt kocht.

Een veelzeggend citaat uit een mail die Zuckerberg aan collega’s stuurde vóór de overname van Instagram, in februari 2012:

Je kunt het zo zien: wat we eigenlijk kopen, is tijd. Zelfs als er nieuwe concurrenten opduiken, geeft de overname van Instagram, Path, Foursquare, enz. ons een jaar of meer om hun dynamiek te integreren voordat iemand ook maar in de buurt van hun schaal komt.

Mark Zuckerberg in een email uit 2012, voor de aankoop van Instagram

Juist het kopen van een concurrent om je monopoliepositie te verdedigen, is in de VS verboden.

Het pijnlijkste was niet dat deze week duidelijk werd dat Zuckerberg Instagram kocht uit angst voor concurrentie voor Facebook; niemand dacht dat hij een miljard uitgaf uit liefde voor foto’s met kekke filters. Veel schofteriger was dat Zuckerberg er geen enkel probleem in zag om privé-gegevens van Facebook-gebruikers uit Amerika en Europa te delen met de Chinese overheid

De BBC maakte een goede reportage over de zaak die nog jaren kan voortslepen, maar de kans bestaat dat Meta wordt gedwongen om Whatsapp en Instagram te verkopen.

Waarom AI het nieuwe sociale netwerk is

Zuckerberg erkende tijdens zijn verhoor dat Meta tegenwoordig meer een brede ontdekking- en entertainmentruimte” is. Slechts 17 procent van de tijd op Facebook en 7 procent op Instagram wordt nog besteed aan posts van vrienden. Voor de rest worden we bezig gehouden met clickbait van vreemden. Threads, de AliExpress-versie van Twitter, is voor vrijwel niemand een serieuze optie.

Generatieve AI lijkt die leegte nu op te vullen. Apps als ChatGPT en Claude wachten niet op linkjes van je vrienden, maar doorzoeken het internet op verzoek, vatten het in seconden samen en praten met je als een vertrouweling. Doordat de taalvaardigheid van nieuwe AI-modellen goed is, kun je erop wachten dat kwetsbare mensen, aangespoord door een niet bestaande virtuele AI-vriend of AI-therapeut, de meest verschrikkelijke beslissingen gaan nemen.

Jaloezie op Instagram

De Washington Post vroeg zich af waarom Zuckerberg jaloers is op Instagram. Hij kocht zelf goedkoop deze kip met de gouden eieren maar, zo concludeert de Post, ‘na gesprekken met twee psychologen en een cultuurjournalist, blijkt zijn gedrag herkenbaar. Het lijkt op de afgunst die je kunt voelen tegenover iemand uit je eigen kring die plotseling succesvoller wordt. Of, zo stelden zij, het lijkt op de platonische variant van de angst van een partner dat jij hem overvleugelt.‘ 

Alle aandacht die Zuckerberg richt op een wederopstanding van Facebook is tot nu toe vergeefs, Facebook is een uit zijn krachten gegroeide versie van Seniorweb.

Google opnieuw veroordeeld als monopolist

Een Amerikaanse federale rechter heeft geoordeeld dat Google illegaal de advertentietechnologie-markt domineert. De monopolistische praktijken hebben volgens de rechtbank de markt geschaad. Mogelijke gevolgen zijn het opsplitsen van onderdelen van Google, dat uiteraard van plan is om in beroep te gaan.

Het bijzondere is dat Google hiermee voor de tweede keer door een rechter wordt veroordeeld voor het misbruik maken van een monopolie-positie. Vorig jaar werd Google al door een rechter veroordeeld voor het misbruiken van de monopoliepositie als zoekmachine. Het is niet verboden om monopolist te zijn, maar wel om die machtspositie te misbruiken in andere markten.

Ooit had Google als slogan “don’t be evil”, maar nu het binnen een paar maanden door twee rechtbanken schuldig is bevonden aan het illegaal uitnutten van monopolies op het gebied van zoeken en online advertenties, begint het er verdomd veel op te lijken dat het bedrijf is uitgegroeid tot alles wat het nooit wilde worden.

Het is ook te zien op de arbeidsmarkt: waar ooit Google-medewerkers zelfs voor dubbele salarissen weigerden naar Facebook te gaan, wisselen mensen tegenwoordig van Meta naar Alphabet en terug, alsof ze van bus overstappen. 

Wie zit er te wachten op een nieuw sociaal netwerk dat onze data gaat uitventen?
Beeld gemaakt met ChatGPT.

OpenAI wil eigen sociaal netwerk bouwen 

Over “don’t be evil gesproken”, OpenAI ontwikkelt een prototype voor een sociaal netwerkdat geïntegreerd is met de beeldgeneratie van ChatGPT. CEO Sam Altman hint erop dat dit project mogelijk als zelfstandige app wordt gelanceerd of binnen ChatGPT geïntegreerd wordt, als grote concurrent van Elon Musk’s X.

Kern is dat OpenAI meer data van gebruikers nodig heeft om de honger naar data en kennis te stillen. De aankondiging zet de vete tussen Sam Altman en Elon Musk verder op scherp, zeker na Musk’s mislukte overnamebod op OpenAI. De enthousiastelingen die elk sociaal netwerk toejuichen dat niet door Musk wordt geleid, moeten zich de vraag stellen of een sociaal netwerk geleid door Sam Altman gebaseerd zal zijn op een beter functionerend moreel kompas.

OpenAI’s nieuwste modellen hallucineren meer

OpenAI’s nieuwe AI-modellen, o3 en o4-mini, vertonen ondanks hun geavanceerde redeneercapaciteiten een hoger percentage hallucinaties dan eerdere modellen. Het bedrijf begrijpt nog niet precies waarom deze toename optreedt, wat vragen oproept over de betrouwbaarheid van deze technologie. Dat sociaal netwerk van OpenAI klinkt nu al, laten we het beschaafd houden, intrigerend.

AI helpt bij het opsporen van olielekken

Het is onmogelijk om over AI blind enthousiast of compleet negatief te zijn. Het is een complexe, genuanceerde technologische ontwikkeling en, dat moge duidelijk zijn in nieuwsbrief 93, als ik iets ben, behalve nederig, dan is het genuanceerd.

Dus laten we niet uit het oog verliezen dat er ook positief nieuws is over AI: zo wordt het steeds effectiever ingezet bij het detecteren van olievervuiling op zee. Via satelliet- en dronebeelden kunnen algoritmes snel risico’s signaleren en overheden waarschuwen

Netflix boekt recordwinst

Naast Google en Meta is Netflix een andere gigant die afhankelijk wordt van reclame-inkomsten. Het bedrijf behaalde in het eerste kwartaal een recordomzet van 10.5 miljard dollar, een stijging van 12.5 procent op jaarbasis. De nettowinst steeg met 24 procent naar 2.9 miljard dollar. Voor heel 2025 verwacht Netflix tussen de 43.5 en 44.5 miljard dollar omzet.

Het is opvallend dat Netflix sinds dit jaar weigert om totale abonnee-aantallen bekend te maken, in een poging om beleggers te laten focusen op de omzetgroei en hogere winsten. Omdat Netflix als een van de weinige grote bedrijven niet wordt geraakt door de handelstarieven van president Trump, zou die aanpak goed kunnen werken.

Het blijft wonderbaarlijk dat de hele wereld klaagt over tijdgebrek en drukke dagen, maar honderden miljoenen mensen per dag twee uur Netflix kijken. Dat is geen typefout, het gemiddelde ligt rond de twee uur kijktijd *per dag*.

Nvidia CEO Jensen Huang zit op 5.5 miljard dollar aan chips. Beeld gemaakt met Midjourney.

Nvidia: miljardenverlies door exportrestricties VS

Nvidia gaat wel gebukt onder de exportrestricties die president Trump heeft ingesteld, nadat president Biden ermee was begonnen, en moet een voorziening treffen van 5.5 miljard dollar boeken op zijn H20 AI-chips die niet meer naar China mogen.

Ook andere chipbedrijven zoals AMD en ASML worden geraakt, terwijl TSMC het onverwacht goed deed, maar niet zo goed dat het Nvidia mee omhoog sleepte. Ik zal binnenkort de droevige resultaten delen van mijn experiment om vorig jaar een technologie-portefeuille te beginnen met 100 dollar, want na kortstondig succes is het inmiddels huilen en bijstorten.

NFA Podcast afl. 12: Mantra verliest 5 miljard dollar in een paar uur

Aflevering 12 van de NFA Podcast zit vol geopolitieke crypto-manoeuvres, schandalen en platformoorlogen. Nish trapte af met nieuws over CZ (Changpeng Zhao), de oprichter van ’s werelds grootste cryptobeurs Binance, die overheden van Kirgizië tot Pakistan adviseert. We bespreken of Binance de aangewezen partij is om staatsbeleid rond crypto te sturen. We nemen Binance’s verleden onder de loep, Richard Tengs rol als CEO, en Dubai’s innovatieve cryptobeleid, waaronder de opvallende samenwerking van Crypto.com met de regering van sjeik Maktoum.

Aflevering 12 van de NFA Podcast is hier te zien:

We bespraken ook hoe de bredere digitale ambities van de Emiraten en Ras Al Khaimah vooroplopen in DAO-regulering. Tracer, waar zowel Nish als ik bij betrokken zijn, wordt genoemd als een van de partijen die profiteren van dit vernieuwende juridische kader.

Daarna bespreken we het debacle rond Mantra (maker van de OM-token) nadat er in een paar uur 5 miljard dollar aan waarde werd verloren. Nish legt uit hoe OTC-deals, gebrek aan transparantie en de onthullingen van Coffeezilla mogelijke manipulatie aan het licht brachten.

Nish wijst ook op de online golf aan namaakproducten uit China en de aflevering eindigt met het sociale-mediageweld: Sam Altman die mogelijk een OpenAI-alternatief voor X lanceert en de gebrekkige gebruikservaring van Threads. We sluiten af met Meta’s antitrustproblemen, Googles ad-tech-monopolie en mijn gemopper over Nvidia’s koersval door Amerikaanse exportbeperkingen op chips.

Overig opvallend nieuws:

Katy Perry mag zich niet identificeren als astronaut

Na een elf minuten durende ruimtevlucht met Blue Origin noemde Katy Perry zichzelf astronaut, wat leidde tot hoongelach en kritiek. Ook de bijslaap van Jeff Bezos en de bestie van Oprah Winfrey zaten aan boord.

Dit gaat parodie voorbij,” reageerde model Emily Ratajkowski, “Dat je zegt dat je om Moeder Aarde geeft en dat het om Moeder Aarde draait, terwijl je in een ruimteschip stapt dat is gebouwd en betaald door een bedrijf dat in z’n eentje de planeet vernietigt?” Niets aan toe te voegen.

Vrouwen kiezen vriendinnen op geur

Onderzoek van Cornell University toont aan dat vrouwen mogelijk onbewust gebruik maken van geur bij het kiezen van vriendschappen. Deelneemsters aan het onderzoek met vergelijkbare lichaamsgeur bleken sneller een vriendschapsband op te bouwen. Wie het niet gelooft, klikke op de links, want het komt niet uit de Libelle maar uit Nature. Het is overigens maar goed dat dit onderzoek niet onder mannen is uitgevoerd.

Robots in de halve marathon van Beijing

Tijdens de halve marathon van Beijing renden 21 robots mee met de menselijke deelnemers. De robots, ontwikkeld door onder meer DroidVP en Noetix Robotics, liepen uiteraard op AI en voltooiden de race in tijden tot 2 uur en 40 minuten. Ook alle lof voor de knakkers die achter de robots aan hobbelden met hun afstandsbediening. Want je kunt veel zeggen over robotontwerpers en AI-ontwikkelaars, maar het zijn doorgaans geen fitboys.

Tip: volg je vaardigheden, niet je passie

Ondernemer Janneke Niessen zei het al een paar jaar geleden: volg vooral je passie niet. In een oude toespraak van venture capitalist Ben Horowitz die momenteel viral gaat op Instagram, adviseert Horowitz ook om je te richten op waar je goed in bent, in plaats van blind je passie te volgen.

Vaardigheden die aansluiten bij de markt leiden volgens Horowitz tot meer succes. Horowitz sprak jaren geleden op SXSW al met rapper Nas over ondernemerschap naar aanleiding van zijn boek The Hard Thing About Hard Things, een absolute aanrader voor iedereen met interesse in ondernemerschap.

Ik sluit af met de aansporing om vandaag twee minuten vrij te maken om te kijken en luisteren naar professor Scott Galloway, die uitlegt waarom het volgen van je passie ‘utter bullshit’ is.

Dank voor de belangstelling, tot volgende week!

Categories
AI beleggen crypto NFA Podcast technologie

Al het positieve nieuws dat je miste door de tarieven-pingpong

Vorige week was de slechtste week ooit voor tech-aandelen. De Magnificent 7, Apple, Alphabet, Meta, Nvidia, Tesla, Microsoft en Amazon, verloren samen

$1.6 biljoen aan beurswaarde. Deze week boekte de groep na bekendmaking van de dètente in de tarievenoorlog hun grootste wekelijkse winst ooit: $1.2 biljoen. Grootste gevolg van deze beurs-pingpong: nerveuze beleggers en verhoogde kans op recessie.

Het lijkt nog steeds alsof deze grafiek ondersteboven is afgebeeld; was het maar waar.

Onder de grotere tech-bedrijven is Palantir een witte raaf, met een stijging van 17% dit jaar en liefst 304% over de laatste twaalf maanden. De Nasdaq staat dit jaar op -13,4% waarbij Tesla in het oog springt met 38% verlies sinds 1 januari.

Laat op vrijdagavond sloot de Amerikaanse regering smartphones, computers, geheugenchips en andere elektronica uit van de zogenaamd “wederkerige tarieven” op China, wat tot opluchting moet hebben geleid in heel Silicon Valley.

Ooit was crypto een tegenhanger van de reguliere beurzen, maar das war einmal.

Ook crypto viel ver terug na alle stijgingen van vorig jaar, waarbij de dalingen groter worden uitgelicht in de media. Bitcoin (-11%) is veel minder volatiel geworden; de Nasdaq Composite daalde dit jaar meer (13%) maar ook dat komt zelden naar voren in analyses.

Verder kijken dan de slotkoersen

Wie goed kijkt ziet onder die oppervlakte van dag- en weekkoersen iets heel anders, maar in alle retoriek over handelstarieven hoor je daar vrijwel niets over. Daarom focus ik deze week op belangrijk nieuws dat onder de radar bleef, waarbij vooral opviel dat AI-bedrijven een topweek beleefden:

  • OpenAI haalt $40 miljard op en denkt aan overname van de “iPhone-killer met AI” van Apple-legende Jony Ive
  • Nieuwe AI-startups van voormalige OpenAI topmensen Mira Murati en Ilya Sutskever halen elk $2 miljard op
  • Stanford-rapport: AI wordt sneller, goedkoper en groener, maar worstelt nog steeds met complexe redeneringen

OpenAI scoort $40 miljard, koopt hardware startup van Apple-legende?   

Op een Spartaanse webpagina meldde OpenAI dat het in een nieuwe investeringsronde $40 miljard heeft opgehaald, op een duizelingwekkende waardering van $300 miljard. Ter vergelijking: Facebook ging ooit naar de beurs op een waardering onder de $100 miljard terwijl het miljarden winst maakte, terwijl OpenAI miljarden per jaar verliest. Niemand weet nog hoe OpenAI ooit in deze waardering gaat groeien, of zoals het altijd droogjes luidt in de Valley: ’there is no clear path to profitability.’

Het geld brandt OpenAI CEO Sam Altman blijkbaar in de zak, want het gerucht gaat dat OpenAI in gesprek is om voor $500 miljoen het bedrijf io Products over te nemen, een startup van Jony Ive, de weduwe van Steve Jobs, Laurene Powell Jobs en… Sam Altman. Een hele nieuwe vorm van vestzak-broekzak.

Details zijn schaars, maar doel van io Products schijnt te zijn om een AI-apparaat te ontwikkelen dat “minder sociaal ontwrichtend is dan de iPhone.” Het meest boeiend vind ik dat het apparaat schermloos zou moeten worden, wat direct de vraag oproept hoe de gebruiker er dan mee moet communiceren; spraakgestuurd?

Vorig jaar schreef ik uitgebreid over LoveFrom, de studio van Jony Ive in San Francisco, die lekker begon door voor $60 miljoen een theater over te nemen, waar nu blijkbaar io Products uit is voorgekomen.

ex-OpenAI topmensen halen ook miljarden op

Voormalig OpenAI CTO Mira Murati, die er ook nog een wild weekend CEO was (het waren twee fantastische dagen), wil $2 miljard ophalen op een waardering van $10 miljard dollar voor haar nieuwe bedrijf met typemachine-achtige website Thinking Machines Lab. De omschrijving van het bedrijf in het profiel op X verdient ook vermelding: “thinking, beeping, and booping.” Murati scoorde deze week door voormalig Chief Research Officer van OpenAI Bob McGrew als adviseur aan te trekken.

Murati zal met verwondering hebben gekeken naar haar ex-collega Ilya Sutskever, medeoprichter van OpenAI, die deze week een tweede miljard binnenhaalde voor zijn nieuwe AI-bedrijf SSI op een drie keer zo hoge waardering als Murati: $32 miljard. Investeerders zijn ondermeer Alphabet (Google) en Nvidia.

Bijzonder is dat SSI de nieuwe tensor processing units (TPU’s) van Alphabet zal afnemen, terwijl die juist zijn ontwikkeld als concurrent van Nvidia. Helaas lezen we er niets over op de website van SSI, die nog mistroostiger is dan die van Murati’s Thinking Machines Lab. Beide bedrijven zien de toekomst blijkbaar kleurloos in.

Het succes van Sutskever onderstreept de bijna mythische kwaliteiten die hem in tech-kringen worden toegeschreven. Ik schreef een jaar geleden dat Sutskever de reden is dat Elon Musk en Google-oprichter Larry Page hun vriendschap verbraken, toen Musk erin slaagde Sutskever te recruteren voor OpenAI.

Onderzoek bevestigt: AI wordt beter

Leestip voor iedereen die interesse heeft in AI: het 2025 AI Index Report van Stanford University. AI wordt sneller, goedkoper, groener en beter. Dat mag ook wel, gezien de tientallen miljarden die in AI worden geinvesteerd, maar toch fijn om te zien dat het ergens toe leidt. Dit zijn de belangrijkste conclusies:

  1. Benchmarkprestaties stijgen explosief. AI-modellen boeken enorme vooruitgang op waarbij sommige agents mensen zelfs overtreffen in programmeertaken.
  2. AI is overal. Van robotaxi’s in China tot Amerikaanse ziekenhuizen, AI maakt nu deel uit van het dagelijks leven.
  3. Bedrijven zetten zwaar in op AI, investeringen in de VS bereikten $109 miljard in 2024; 78% van de bedrijven gebruikt inmiddels AI, tegenover 55% een jaar eerder.
  4. VS leidt in aantal modellen, China loopt in op kwaliteit. De VS bouwt de meeste modellen, maar China haalt snel in qua prestaties en domineert in patenten en publicaties.
  5. Verantwoorde AI blijft achter. Ondanks een toename in AI-incidenten voeren maar weinig bedrijven formele veiligheidscontroles uit. Overheden houden wel meer toezicht.
  6. Wereldwijd groeit het optimisme. Landen zoals China en Indonesië omarmen AI, terwijl er in de VS en Europa meer scepsis blijft bestaan.
  7. AI wordt goedkoper en duurzamer. Het draaien van GPT-3.5-niveau AI kost nu 280 keer minder dan in 2022, dankzij betere hardware en open modellen.
  8. Overheden grijpen in. Van Canada tot Saoedi-Arabië groeit de publieke AI-investering snel, samen met een golf aan nieuwe regelgeving.
  9. Onderwijs breidt uit, maar ongelijkheid blijft. Computeronderwijs groeit vooral in Afrika en Latijns-Amerika, maar toegang en lerarenvoorbereiding verschillen sterk.
  10. Industrie domineert grensverleggende AI. 90% van de toonaangevende modellen komt uit het bedrijfsleven, al slinkt het verschil in prestaties snel.
  11. AI krijgt wetenschappelijke erkenning. Doorbraken in AI leverden twee Nobelprijzen en een Turing Award op.
  12. Redeneren blijft lastig. AI blijft zwak op logische taken, wat de betrouwbaarheid in risicovolle toepassingen beperkt.

Voor wie zich afvraagt hoe AI concreet kan worden gebruikt in een organisatie publiceerde NXTLI vrijdag een helder overzicht. Voor wie liever luistert dan leest is er nu ook een Nederlandse podcast over AI en leiderschap.

NFA Podcast afl. 11: Het positieve nieuws dat je miste terwijl de markten instortten

Aflevering 11 van de NFA Podcast, voor Nish, Frackers & alle anderen, is hier te zien of beluisteren:

Nish en ik begonnen met de achtbaanweek in crypto en techaandelen, waarbij Nish uitlegt uit hoe de meme coin-machine Pump.fun vastloopt, terwijl ik griezelverhalen deel uit eerdere crashes, waaronder de dag dat Alexander Klöpping en ik een artikel op 925 begonnen met de kop ‘CEO Broadcom ontslagen’ en eindigden met de clickbait ‘CEO bouwt seksgrot.’ Maar het was wel waar. Verder:

  • Hoe voormalige OpenAI topmensen miljarden ophalen voor hun AI-startups
  • Binance-oprichter CZ gaat Pakistan en Kirgizië adviseren over blockchainadoptie
  • Trumps pro-crypto SEC-kandidaat wordt goedgekeurd
  • De rechtszaak tussen de SEC en Ripple wordt geschikt
  • Europa en China flirten over elektrische auto’s als tegenzet tegen de Amerikaanse tarieven
  • De Britten zouden als beloning voor Trump weleens met chloorkip kunnen eindigen

De aflevering eindigt met voorspellingen: Frackers voorziet een voorzichtige marktherstel, Nish gokt op zijwaarts. Maar beiden blijven op lange termijn optimistisch.

Serie over mislukte startups

The Wall Street Journal startte een serie over startup-mislukkingen. Acht bedrijven, van Theranos tot obscure dotcoms die veel geld ophaalden, snel groeiden en spectaculair instortten. De gemene deler was dat geen van de startups een product had dat werkte. Of geen markt. Of allebei niet. In tijden van AI-hype een nuttige reminder: veel funding is geen validatie.

Citaat van de week

Filmmaker Quintin Tarantino:

“Jouw taak is niet om alles zelf te bouwen, maar om een visie te hebben. De echte magie ontstaat wanneer je getalenteerde mensen inschakelt die jouw tweedimensionale idee tot leven brengen in drie dimensies.” 

Het zou interessant zijn als de Wall Street Journal ook een serie zou maken over bedrijven die succesvol werden met het volgen van deze aanpak, in plaats van de mannetjesmakerij die we vaak zien in de technologie-wereld.

Dank voor de belangstelling, tot volgende week!

Categories
AI invest crypto technology

Trump’s Bitcoin Reserve, BitTensor’s AI Network, and Navigating Market Volatility

In this week’s NFA Podcast, Dr. Nisheta Sachdev and Michiel Frackers unpack the wild week in tech and crypto. Nish covers China’s impactful stimulus, clarifies misconceptions around a Brazilian fintech firm’s Bitcoin adoption, and highlights Vietnam’s new crypto regulatory plans.

Frackers dives into President Trump’s strategic Bitcoin reserve and digital asset “stockpile,” analyzing implications for crypto markets. He also maintains a bullish outlook on Nvidia despite AI sector challenges, while Nish introduces BitTensor (TAO), an innovative decentralized AI network.

Together, they discuss navigating volatility in crypto investments, weighing altcoins versus Bitcoin in an uncertain global landscape.

(NFA podcast is educational and entertaining, not financial advice.)

They also explore current market dynamics, discussing the risks and opportunities in altcoins versus Bitcoin, and share insights on navigating market volatility amid global uncertainties.

The NFA podcast is for educational and entertainment purposes only and is not financial advice.

Chapter List:

00:00 Portfolio Management and Investment Strategies

01:57 China’s stimulus package, Brazilian firm’s Bitcoin reserve and Vietnam’s legal crypto framework

03:10 Government Involvement in Cryptocurrency

03:37 Trump’s Influence on the Crypto Market

04:37 The Future of Cryptocurrency Regulations

06:15 Global Perspectives on Crypto Adoption

07:18 Market Trends and Predictions

10:25 The Impact of Macroeconomic Factors on Tech and Crypto

13:28 The Evolution of AI and Its Market Dynamics

15:11 Concerns Over AI Business Models and Investment Strategies

17:09 Navigating the Crypto Landscape: Bitcoin vs. Altcoins

26:00 Bitcoin: The Largest Meme Coin?

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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AI invest crypto

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

Categories
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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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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Tech stocks boring in Trumps first week

Tech bros were looking forward to Trump's first week in office, but the stock market was boring.

BATMMAAN shares, comprising Broadcom, Apple, Tesla, Microsoft, Meta, Alphabet (Google), Amazon and Nvidia, have shown a mixed picture in the stock market over the past week. While some companies saw slight increases in their value, others experienced declines, underscoring the volatility within the technology sector. Thus, the first week of tech and crypto-franchise Trump ended somewhat tepid.

Apple and notably Tesla, one of the companies of Trump's hypeboy Elon Musk, both fell sharply. The rest of the tech bros had no cause for great celebration either. Meta shares rose six percent, but Meta in particular, with its open source project Llama, is being hit hardest by the launch of DeepSeek. In fact, there is already talk of "panic mode" at Meta.

While you would think that Nvidia would benefit greatly from Stargate's announcement (because who else is going to supply the chips for its intended high performance computing), many investors seem to think that Nvidia is threatened by Stargate. I offer no advice and make no predictions, but with Nvidia's next quarterly earnings report, there is a good chance that investors will want to join the Nvidia party once again. 

As General Magic experienced almost thirty years ago, the right timing is crucial when introducing mass-market technology. The question is how soon it can be determined whether all the billions invested in AI will yield the intended financial and social returns. For now, we live in a reality in which Stargate's announcement seems as credible as the U.S. annexation of Greenland. 

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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. 

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Forget FANG, it's all about BATMMAAN now - or is it crypto after all?

Once upon a time, the acronym FANG (for Facebook, Apple, Netflix and Google) was the symbol for tech stocks. But almost unnoticed, Broadcom snuck into the club of trillion-dollar companies, and now there is a new acronym: BATMMAAN (Broadcom, Apple, Tesla, Microsoft, Meta, Amazon, Alphabet, Nvidia). Barron's came out with an excellent analysis including a price comparison. What does it show? Nvidia is the cheapest stock of the bunch.

BATMMAAN stock performance in the last year: up 66% on average.

Forget FANG, here's BATMMAAN

This is especially noteworthy since Nvidia was already by far the best-performing stock among the tech giants over the last year. Propelled by the AI hype, Broadcom (symbol AVGO) is also coming on strong, while Tesla is mostly driven by members of Elon Musk's cult.

The entire BATMMAAN club made an average return of 66% last year. In fact, Apple and especially Microsoft are doing substantially worse than the S&P 500, which has proven to be a solid investment at 25%. Both icons are suffering from the AI hype: Apple because it derives no identifiable revenue or profit benefit from AI and Microsoft because it is making tens of billions in additional investments in AI, the long-term returns of which investors doubt.

Return of top cryptocurrencies: 174%

Investors with a strong stomach have had a wonderful year in the crypto world, where the average rise of the largest crypto currencies measured by market cap, has been a whopping 174%.

The most frequently asked question in crypto remains: which coin should I buy? But the largest crypto currencies were already doing 174% year-to-date.

In addition to the rise of memecoin Dogecoin, carried in part by Doge fan Elon Musk, it is particularly notable that XRP, a Stone Age token by crypto standards, rose over 450%. Trump's upcoming presidency ensures that a new SEC boss will be appointed, following notorious cryptohater Gensler. The hope of XRP holders is that under the new administration, the SEC will end the ongoing legal proceedings against XRP.