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14,122 görüntüleme • 12 gün önce •via X (Twitter)

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Controversial Tips profil fotoğrafı
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Police will barging and arrest him for attempt of destruction of government private property

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OpenAI and Anthropic this week: Navier-Stokes, An Alien Mind, Images 2.5, Pro pause, Pace the Frontier (Week 37, 2026) OpenAI shared a solution to the Navier-Stokes Millennium Prize Problem, produced in 88 hours by around 10,000 coordinating agents on an internal model still in training and significantly more capable than GPT-6 Astra, with an investigation finding Tristan Buckmaster's Codex prompts could not have influenced the system and no user data was accessed OpenAI says they have reached their automated research intern goal and are making strong progress toward an automated AI researcher by March 2028, with the research org at 3.1 agent-workdays per human workday and RL training on deployment-bound models partly paused after the Hugging Face incident OpenAI Chief Scientist Jakub Pachocki writes in An Alien Mind that no lab has solved alignment and monitoring well enough to keep scaling at maximum speed for much longer, and that GPT-6 Astra is the first model to benefit from some of their newer alignment work OpenAI called for mandatory capability-based national AI safety regulation, endorsed four California bills, said fully autonomous recursive self-improvement should not be pursued until it can be done safely, and described Astra safeguards like universal monitoring of full trajectories including chains of thought OpenAI released ChatGPT Images 2.5 to all ChatGPT, ChatGPT Work, and Codex users with sharper details, up to 50% lower latency, comment-based edits, Sketch, and templates, plus GPT-Image-2.5 Flare and Sunburst in the API ChatGPT Voice can now use GPT-5.6 Sol and GPT-6 Astra when it needs to search or reason, GPT-Live-1 daily limits are simplified per plan, and extra Voice usage drops from 5 to 1.25 credits per minute for Business and Enterprise workspaces on credits OpenAI paused new subscriptions to the $200 ChatGPT Pro plan to protect access for existing GPT-6 Astra users, hours after a remote switch to pause Pro 20x purchases showed up in the web app Custom GPTs in ChatGPT will likely be retired on December 11 based on my findings, and OpenAI's new FAQ puts Enterprise migration at September 17 with new GPT creation ending September 25 and instructions becoming a plugin skill From the ChatGPT Android build, OpenAI is building a collaborative multiplayer document editor with dedicated gateway hosts and draft-conflict UI, an Artifacts Library with Favorites, and a credit score feature in ChatGPT Finance, and Locked Chats with a PIN are being prepared in the web app OpenAI released GPT-Live-1 in the API at $0.05 per minute, a voice model that listens and speaks at the same time and delegates reasoning to a backend model like GPT-6 Astra, and the Agents API in public beta running the Codex harness on OpenAI's infrastructure with only the sandbox left for you to choose Deep research arrived in ChatGPT Work and Codex, a Data plugin connects Snowflake, Databricks, BigQuery, and Redshift to answer business questions and build dashboards, Library gained file and folder sharing, and Box, Dropbox, and SharePoint joined Google Drive in Library OpenAI launched ChatGPT for Financial Services with built-in premium data from Daloopa, PitchBook, LSEG News, and Crunchbase, shaped with Morgan Stanley and Evercore, and a GSA agreement gives US governments $0 license fees, 50% off usage, and Daybreak Blue at half price Smaller ChatGPT bits: a stock watchlist in Finances for US Plus and Pro, a small business plugin collection, over 5 million ChatGPT Sites built in three months, and the desktop pet can now start a new chat with a new Mini option OpenAI published The Work Now Within Reach, calling free access "supported by advertising", citing over one billion weekly active users, and saying they plan to begin deploying their Jalapeño inference chip by year-end OpenAI moved GPT-Rosalind out of research preview for eligible organizations worldwide, detailed Habitat with the service rewritten in Rust by two engineers with 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Tibor Blaho

15,710 görüntüleme • 20 gün önce

"AI will reduce your bottom line and stablecoins will ultimately increase your top line." kareem saw this coming early. He positioned Entendre to build FOR stablecoin native companies, instead of building one himself. As stablecoins began to solve real problems, the winners would grow into massive businesses onchain with complex books to close. So he built the accounting tooling those companies would need to scale. Before Entendre, he built cash management systems at Workday, then joined WeWork at peak valuation, where 300+ accountants couldn't keep up with the accounting at scale. When ChatGPT launched, he founded Entendre with his brother Omar and designer Andy, and the three of them built AI accounting software for some of the fastest growing organizations in the world. They built agents to automate stablecoin and digital asset accounting for companies like Polygon Labs, Brale, Courtyard, and Babylon Labs. In the last 12 months, their customers have raised over $1 billion in venture capital. Last month MoonPay 🟣 acquired the company to power the financial operations layer of the stablecoin economy. His bet: by 2030 half the accountants will have retired, every dollar moving onchain still has to land in a ledger, and agents are how the books get kept. Kareem's conversation with : 1:30 - Youngest engineer on Workday's financial side 6:44 - Why everyone used to fight over the general ledger 10:11 - WeWork at peak valuation and 300 accountants falling behind 13:05 - How he built Cloud Kitchens' money platform from scratch 19:22 - 3 million CPAs, $100T GDP, and 50% retiring by 2030 21:04 - Why stablecoins grow top line and AI cuts bottom line 23:41 - Three levels of AI adoption and where most people are stuck 29:00 - How ChatGPT's launch led to founding Entendre 31:29 - Customers who've raised over $1 billion in VC 35:37 - Polygon Labs: 32 legal entities on one platform 37:51 - Dual Entry and the $90M AI-native ERP partnership 38:33 - Why MoonPay acquired Entendre 43:17 - First startup, first exit, first time raising capital 52:44 - 10x revenue growth and the 2025 inflection point Episode 0052. Presented to you by Altitude

Stabledash

22,377 görüntüleme • 3 ay önce

How could you possibly be bearish on compute right now? (Save this). Every 10 seconds in 2026, the world generates 31.7 billion tokens and by 2030, that number hits 1.27 trillion, every 10 seconds. That's a 40x increase and that's before the full agent economy comes online. The Qualcomm CEO said total token demand by 2030 is in the quintillions. Here's what most people miss because when you use ChatGPT, you generate tokens one conversation at a time but agents don't sleep. ] They run 24/7, spawning sub-agents, carrying context, updating memory, catching mistakes and every single one of those actions burns tokens. The shift from human paced to agent paced activity is the single biggest structural change in compute demand we've ever seen. You don't need a perfect forecast but rather just need to believe agents become persistent and if they do, compute demand goes vertical. The infrastructure has to be built before the demand fully arrives, which means the window to own the picks and shovels is right now. That's where neoclouds like Nebius come in. Nebius isn't trying to be AWS, it is a pure-play AI cloud, GPU clusters, inference infrastructure, and developer tooling built from scratch for AI workloads. Q1 2026 revenue hit $399M, up 684% year over year and they're guiding for $7–$9 billion annualized run rate by end of 2026. Analysts are modeling roughly 2,000% total revenue growth from end of 2025 to end of 2027. They already have contracts with Microsoft and Meta already signed. Capex guidance raised to $20–$25 billion because customer commitments justified it. They are sold out of capacity because the constraint isn't customers, it's how fast they can build. Adjusted EBITDA margin on the core AI business hit 45% in Q1 and Jensen Huang called Nebius a close partner at GTC 2026. And in a world where GPU access is the single biggest competitive moat, that relationship matters more than most people realize. The bear case on compute requires you to believe the agent economy stalls and that's a very lonely bet to make right now. Bullish on Nebius and Milk Pro subscribers are already up massively on this trade, come join us using the link below to get our full AI trades and we have a HUGE 33% off right now!

Milk Road AI

16,310 görüntüleme • 2 ay önce

Eric Schmidt, former CEO of Google: "The AI revolution is underhyped. None of us is prepared for the implications of this." He opens with a warning: "The arrival of this new intelligence will profoundly change our country and the world in ways we cannot fully understand." He explains what's happening right now in the industry: "We're very very quickly developing AI programmers. And these AI programmers will replace traditional software programmers. We're building in the next year AI mathematicians that are as good as the top level graduate students in math. This is happening very quickly." Schmidt argues most people fundamentally misunderstand what AI has become: "Today you think of AI as ChatGPT, but what it really is is a reasoning and planning system that we've never seen before." The implications, he warns, extend far beyond software. These new systems demand resources at an industrial scale we've never encountered. "They're going to need a lot more computation than we've ever had. They're going to need a lot more energy." To illustrate the scale of the energy crisis ahead, Schmidt offers a sobering comparison: "People are planning 10 gigawatt data centers. Now just to do the translation, an average nuclear power plant in the United States is 1 gigawatt. How many nuclear power plants can we make in one year where we're planning this 10 gigawatt data center? Gives you a sense of how big this crisis is." Eric Schmidt shares an estimate he finds most likely: "Data centers will require an additional 29 gigawatts of power by 2027 and 67 more gigawatts by 2030. These things are industrial at a scale I have never seen in my life." Schmidt says the industry needs high skills immigration, light touch regulation around cyber and bio threats, and most critically, energy in all forms. He's personally investing in fusion, but acknowledges it won't arrive in time. He closes with the stakes: "When you build these systems, you have intelligence in the computer and then eventually human level intelligence. Some people think it's within 3 to four years. Then after that, you have something called super intelligence, the intelligence that's higher than of humans. We believe as an industry that this could occur within a decade. It is crucial that America get there first."

Big Brain AI

40,383 görüntüleme • 5 ay önce

OPENAI IS FALLING APART IN REAL TIME I've watched companies implode for decades. This one has all the warning signs. OpenAI declared "Code Red" in December. Altman sent an internal memo telling employees to drop everything because Google's Gemini 3 is eating their lunch. Salesforce CEO Marc Benioff publicly ditched ChatGPT for Gemini after using it for two hours. ChatGPT traffic fell in November. Second month-over-month decline of 2025. Meanwhile Gemini jumped to 650 million monthly active users. The company that was supposed to build AGI can't keep its chatbot competitive. But the real story is the money... OpenAI lost $12 BILLION in a single quarter according to Microsoft's own fiscal disclosures. Deutsche Bank estimates $143 billion in cumulative negative cash flow before the company turns profitable. Their analysts put it bluntly: "No startup in history has operated with losses on anything approaching this scale." They're burning $15 million per day on Sora alone. $5 billion annually to generate copyright-infringing memes. Even Sora's lead engineer admitted the "economics are currently completely unsustainable." Here's the big math problem nobody wants to discuss: It's going to cost 5x the energy and money to make these models 2x better. The low-hanging fruit is gone. Every incremental improvement now requires exponentially more compute, more data centers, more power. Reports suggest OpenAI's large training runs in 2025 failed to produce models better than prior versions. GPT-5 launched to widespread disappointment. Users called it "underwhelming" and "horrible." OpenAI had to restore GPT-4o within 24 hours because users preferred the old model. Altman had promised GPT-5 would make GPT-4 feel "mildly embarrassing." Instead, users complained it was worse at basic math and geography. They've released GPT-5.1, GPT-5.2 since. Same complaints each time: too corporate, too safe, robotic, boring. The talent exodus makes this even worse: CTO Mira Murati. Gone. Chief Research Officer Bob McGrew. Gone. Chief Scientist Ilya Sutskever. Gone. President Greg Brockman. Gone. Half the AI safety team departed. Multiple executives reportedly cited "psychological abuse" under Altman's leadership. And now Elon Musk is suing for up to $134 billion. A federal judge just ruled the case goes to jury trial in April. There's "plenty of evidence" that OpenAI's leaders promised to maintain the nonprofit structure that Musk funded. Musk provided $38 million in early funding based on those assurances. Now he wants his share of the $500 billion valuation. OpenAI called it "harassment." But the judge disagreed. Here's what I think happens next: The AI hype cycle is peaking. The diminishing returns are becoming impossible to hide. Competitors are catching up. The lawsuits are piling up. OpenAI needs to generate $200 billion in annual revenue by 2030 to justify their projections. That's 15x growth in five years while costs keep exploding. Even Sam Altman admitted investors are "overexcited" about AI. His exact words: "Someone is going to lose a phenomenal amount of money." If I were running an AI startup with good traction right now, I'd be looking for an exit. Sell into the hype before the music stops. My positioning: I'm not touching OpenAI-adjacent plays at these valuations. The risk profile is astronomical. If you're exposed to the Magnificent 7 through AI infrastructure bets, consider trimming. The gap between promised revolution and delivered reality has never been wider. The smart money is rotating into sectors where valuations actually reflect fundamentals. Small and mid-caps are trading near decade lows relative to Big Tech while earnings growth is only marginally lower. Markets can price risk. But they can't price chaos. And OpenAI is chaos dressed up in a $500 billion valuation.

George Noble

3,323,992 görüntüleme • 8 ay önce