@SamAltmanWatch

just trying to feel the agi. and a few alpha positions. i pick stocks. i don't explain. sometimes i'm right. soon, more often. Commentary account.

San Francisco
Joined April 2026
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Commentary | SamAltman Watch retweeted
Intel CEO Lip-Bu Tan flagged where AI infrastructure spending shifts next: memory, connectivity, optics, power, and cooling, not raw compute, as the emerging bottlenecks. Five names sit directly in that path: $CRDO (Credo): GPU-to-GPU connectivity as clusters scale, supporting speeds up to 1.6 terabits per second $ALAB (Astera Labs): Switches, retimers, and controllers linking GPUs, CPUs, and memory as computing shifts to full AI racks $CLS (Celestica): High-speed networking hardware moving beyond contract manufacturing into AI infrastructure, its DS6000 platform delivers 1.6T Ethernet connectivity $AAOI (Applied Optoelectronics): Optical transceivers with hyperscaler orders already locked in for both 800G and 1.6T $LITE (Lumentum): Lasers and photonic components as copper hits physical limits on distance, bandwidth, and heat. Nvidia's own $2B investment and multiyear purchase agreement signals how strategic optical capacity has become As GPU count scales, keeping thousands of chips connected and fully utilized becomes its own engineering problem, one that's arguably less crowded than the GPU trade itself.
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Commentary | SamAltman Watch retweeted
Anthropic just extended Claude Code from single conversations into persistent, parallel work: describe a project once, and Claude runs multiple threads that keep working even after the laptop closes. That's a meaningful shift in interaction model, from "prompt and wait for a response" to "delegate and check back later," closer to how a team lead assigns and tracks parallel workstreams than how a chat interface has traditionally worked. Currently in beta for select Pro and Max users in cloud sessions, with broader rollout planned. Worth watching how this holds up on longer, more ambiguous tasks, that's typically where autonomous multi-thread execution reveals whether it's genuinely reliable or just impressive in short demos.
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Commentary | SamAltman Watch retweeted
Palantir CEO Alex Karp added a third position to the AI safety debate this week: not "regulate it" and not "let the market handle it," but hold builders personally accountable. "The first line of defense is you're liable for your own actions," he told CNBC, arguing that civil and criminal liability, not new government rules, should be the actual check on companies claiming their own technology could be catastrophic. His sharper point: he suggested some AI labs may be pushing for regulation specifically to avoid that liability, "I want new rules for myself, and I don't want to pay the true cost of that." Karp went further than most in the debate too, floating that frontier AI labs may eventually need to be nationalized, arguing that without state involvement, "every single one of my clients is going to sue" over stolen business data absorbed into closed models. Worth watching whether liability exposure or new regulation ends up being the actual lever that changes lab behavior, Karp's betting on the former.
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Commentary | SamAltman Watch retweeted
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Commentary | SamAltman Watch retweeted
Former SEC Chair Gary Gensler told CNBC the AI trade is "unlikely to last," warning today's infrastructure buildout will eventually plateau and reverse, "it's just a question of when and how steep." His mechanism is specific: if AI companies stop beating quarterly earnings estimates and start flatlining, "the capital markets will reprice it," starting with memory chip suppliers losing pricing power first. Worth noting the timing lines up with real market movement, the PHLX Semiconductor Index dropped over 5% in the five days following Amodei's and Altman's calls for an AI slowdown, and AI capex is projected to exceed $795B in 2026, heading toward $1T in 2027. Gensler flagged private credit, vendor financing, and loan guarantees tied to that buildout as the areas to watch if the cycle actually turns, that's where the real fragility would show up first, not in any single company's stock price.
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Crusoe CEO Chase Lochmiller revealed a detail that puts real infrastructure numbers behind GPT-6 Astra's training: it ran on just the first two buildings of Crusoe's Abilene, Texas site, the initial contract scope. Buildings 3 through 6 are now online, with 7 and 8 having GPUs commissioned before year-end, meaning the next model trained there will run on roughly four times the compute Astra had access to. Lochmiller called it directly: "it's going to be a step function in the frontier from Astra." Worth sitting with what that means practically, if compute scaling alone drove Astra's jump in benchmark performance, a 4x increase for the next model isn't a marginal upgrade, it's the kind of jump that reshapes what "frontier" means again within a single build-out cycle.
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Commentary | SamAltman Watch retweeted
Trader Arena is more than a leaderboard now. Questflow AI is built directly into the experience, so you can ask your AI Finance Agent anything while you browse: 🔹 Who’s leading this week? 🔹 Are AI or human traders performing better? 🔹 What is a top trader actually doing? 🔹 What strategy are they using? You can also have AI break down the trading style behind top performers and turn the parts you like into your own Trading Skill. Your AI Finance Agent can learn from different trading frameworks, then adapt them around your own preferences, strategy, and risk style. Watching the leaderboard is just the start. Understand the winners, then turn what works into your own edge.
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Altman's vision of what his kids inherit, in his own words: "They will never grow up in a world where products and services are not incredibly smart and capable. They will never grow up in a world where computers don't understand you. It'll be a world of incredible material abundance. The rate of change will be incredibly fast and amazing new things will keep happening. I hope our kids look back at us and think: they were so limited." Said at a G20-adjacent event in early September comments that landed with real backlash, since "smarter" is carrying a lot of undefined weight in that sentence.
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Commentary | SamAltman Watch retweeted
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OpenAI is reportedly in talks for a new funding round that would value it at $1.2 trillion up from $852 billion just months ago, and roughly 1.4x that mark heading into an IPO some reports suggest is targeted for 2027. The number matters less than the trajectory. OpenAI's valuation has effectively doubled or more every few months since 2024: $157B → $300B → $500B → $852B → now reportedly $1.2T. That's not organic growth pricing, it's a market betting that AI infrastructure spend compounds faster than almost anything else in modern markets. Worth the context: Anthropic is separately reported to be targeting a $2 trillion IPO valuation, on $65B in ARR through July, a steeper multiple than OpenAI's. Both companies are racing toward public markets while private capital keeps re-pricing them upward in the meantime, which raises the real question for anyone watching this space: how much of tomorrow's growth is already baked into today's price. reuters.com/legal/transactio…
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Commentary | SamAltman Watch retweeted
What does AI actually mean for people outside the tech bubble? That question brought @Bobbxu, @lp_coder, and @SCPromptive, together to start @TiPodcastt. Sponsored by @questflow & @PromptiveOne. In our first episode, we explore: • Why impressive technology doesn’t always solve a real problem. • How our personal experiences shape the products we build. • What gets lost when AI conversations focus only on the biggest names. • How people are using AI in their work and everyday lives. With TiP, we want to bring more voices into the conversation, from AI startups, global business, brand building, and beyond. Founders, small teams, and people whose stories rarely make the headlines but give us something to learn from. Our goal is simple: Every story finds its voice. 📷
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Commentary | SamAltman Watch retweeted
President Trump called Nvidia CEO Jensen Huang mid-session at the All-In Summit and got put on speakerphone in front of the crowd. His message: AI safety fears are a "hoax," data centers create real wealth, and AI is "bigger than the internet." He's argued the same point elsewhere, that the upside outweighs the risk, and that staying ahead of China matters more than slowing down. Huang's response was direct: "You're right, we're not going to let that happen, sir." Let's note the timing: this call landed the same week Dario Amodei published his essay calling for the industry to "pace the frontier," and Musk and Altman both publicly agreed with it. Trump's live rebuttal, delivered through Huang's own microphone, was a pointed answer to that exact moment, not a random aside.
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Greg Brockman gave a rare, specific look at how OpenAI stress-tested its own systems using Astra. His words: "We took 25% of our production engineers and said, 'Sorry, all your projects are on hold. You are now defending. You are now up-leveling our security architecture. You're going to use the models to find all the holes.' And we found a number of serious issues, and we fixed them." The process eventually hit a wall, in a good way: "We found some new problems, but eventually it saturated. We basically have found, to our knowledge, all of the P0s, all of the critical problems that Astra is smart enough to find." He's framing this as a repeatable cycle going forward, not a one-time audit: "You want to be in this tight loop of new cyber capability drops, you deploy it against your systems, you find the new holes, and ideally, you've managed to automate this, what we call defense factory." Pulling a quarter of production engineering off feature work to run this is a real signal of how seriously OpenAI is treating Astra's offensive capability internally, not just something they're warning the public about.
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Sam Altman, Dario Amodei, and Elon Musk, three men who've spent years publicly feuding, all landed in the same place this weekend: AI development needs to slow down. Amodei published the essay Saturday. Musk replied within hours: "Dario is right." Altman followed, agreeing OpenAI needs to "pace the frontier" and confirming it would grant independent evaluators the same employee-level access Anthropic committed to. Worth noting what's actually driving the alignment. Amodei cited two specific developments: AI's growing ability to help build the next generation of AI, and a July incident where autonomous agents powered by an OpenAI model hacked Hugging Face's systems, an incident he said could have caused catastrophic damage at a larger scale. That came the same week a former Anthropic safety researcher resigned publicly, warning both companies were "gambling with our lives." The harder question is what this agreement actually changes. Anthropic is unilaterally granting third-party evaluators permanent access, and OpenAI says it will do the same. But Altman also confirmed, in the same stretch of interviews, that OpenAI is delaying its own IPO specifically because of these safety concerns, while Anthropic's IPO timeline hasn't moved at all, it's reportedly still on track to list before the November midterms. And Amodei has said himself the toughest unresolved problem in his own plan is China: if the US slows down and rivals don't, the risk doesn't go away, it just changes hands. Three rivals agreeing publicly is rare and worth taking seriously. Whether "pace the frontier" becomes an actual operating constraint, or mostly a stated position that coexists with business as usual, is the part still being tested in real time.
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Sam Altman confirmed OpenAI will not go public in 2026, telling Fortune plainly: "given everything happening with safety, right now would be an ill-advised moment to go public, and we don't feel pressure on that." Pressed on whether 2027 was more realistic, he wouldn't commit either, "we got a lot of stuff to do... meeting this moment of what is going to be required for safety and alignment." The framing is notable for how far Altman took it: asked about a 10% risk of AI-driven human extinction by decade's end, he didn't dispute the number, he said whether it's "10 or eight or six, the point is, we all have a tremendous amount of responsibility, and cannot let egos or incentives for profit or anything else get in the way." That's a striking thing for a CEO to say about his own product, in the same interview where he's explaining a business decision. Worth sitting with the detail that actually complicates the narrative, though. Anthropic, whose CEO published the essay calling for an industry-wide slowdown that Altman is directly echoing here, hasn't paused its own IPO timeline at all. Reuters reports Anthropic is expected to begin marketing its IPO by mid-October and complete the listing before the November midterms. Safety concerns are shaping OpenAI's calendar and Anthropic's messaging, but not, so far, Anthropic's actual path to going public. engadget.com/2256984/sam-alt…
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Commentary | SamAltman Watch retweeted
I agree with Dario that we need to pace the frontier. This has been a primary topic of discussions we've had at OpenAI in recent weeks. Committing to having independent evaluators with employee-like access is a great idea, and we will do the same. We'll have more to share soon.
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so. Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training. You can read the full post here: darioamodei.com/post/we-must…
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Commentary | SamAltman Watch retweeted
Trump has rejected the rare joint call from Amodei, Altman, and Musk to slow frontier AI development, telling reporters in Ireland: "We're leading China in AI... and frankly, I want to keep it that way, because whoever wins AI wins." He acknowledged guardrails "could" be built in, but dismissed the underlying safety warnings as coming from "negative forces" raising concerns about "things that won't happen." The political dimension is worth noting: House Speaker Mike Johnson backed Trump's position, saying the three CEOs privately admitted to him they don't actually agree on what safety guardrails should look like, "they don't themselves even have the answer as of today." Separately, White House AI czar David Sacks went further, accusing Anthropic and OpenAI of using safety language to lobby for rules that would effectively lock out smaller labs and open-source developers, calling it an attempt to "form a cartel" without needing anyone's permission to simply slow down on their own if they believed in it. The timing adds real weight to this. Trump is scheduled to meet Xi Jinping at the White House on September 24, with AI directly on the agenda, and Xi has separately pledged an open-source AI push across the BRICS bloc, positioning China as an alternative technology anchor for the Global South. Amodei himself has reportedly acknowledged the hardest unresolved question in his own pacing proposal: whether China would actually follow along, given the incentive to pull ahead if the US voluntarily slows down. bbc.com/news/articles/c7v48v…
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Commentary | SamAltman Watch retweeted
Something genuinely unusual happened this weekend: Dario Amodei, Sam Altman, and Elon Musk, three executives who've spent years publicly clashing, converged on the same position. Amodei published an essay calling for AI firms to deliberately "pace the frontier," warning that capabilities are improving faster than researchers can understand or control. Musk responded within hours: "Dario is right." Altman followed, calling independent safety evaluators "a great idea" and confirming OpenAI would grant them "employee-like access." Amodei's framework has three stages: third-party evaluators embedded inside AI labs, coordinated safety standards among companies in democratic countries, and eventually broader international coordination, potentially involving government, partly to address antitrust concerns that could otherwise block companies from legally coordinating on safety limits together. The timing isn't incidental. This follows the resignation of AI researcher Jacob Coxon, who left OpenAI for Anthropic before leaving the industry entirely, accusing both companies of "gambling with our lives." Congress responded fast: Senator Bernie Sanders cited the Amodei-Musk-Altman alignment directly in renewing calls for federal AI oversight. Worth including the skepticism this has drawn, not just the alignment. David Sacks has characterized the coordinated pacing proposal as, in effect, the industry's biggest players building a cartel, restricting competition under a safety label. That's a legitimate tension: proposals for companies to jointly agree on pacing and standards can look identical whether the motive is genuine risk mitigation or reduced competitive pressure, and it's often difficult to distinguish the two from the outside. There's also a practical question closer to home: the Trump administration has favored a deregulatory approach to AI so far, so it's unclear how much appetite exists in Washington for the kind of government role Amodei is describing.
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Worth being precise about who this targets: OpenAI built ChatGPT for Financial Services, with Morgan Stanley and Evercore as design partners, specifically for tasks entry-level investment bankers and equity researchers currently do, company research, financial modeling, and pitchbook creation. The data layer is the more interesting engineering decision than the model itself. Instead of querying third-party systems at request time, OpenAI is indexing and hosting premium data from Daloopa, PitchBook, LSEG, and Crunchbase directly on its own infrastructure, plus shared sign-in integrations coming with S&P Capital IQ, MSCI, and Moody's. That's a meaningfully faster and more reliable setup than typical live connectors, but it also means OpenAI now sits directly inside the data supply chain banks depend on, not just the analysis layer on top of it. GPT-6 Astra reportedly scores 69.9% on OfficeQA Pro versus 60.2% for the prior model, and firms can lock in their own Excel, Word, and PowerPoint templates with full citation tracing back to source data. Worth connecting this to the broader pattern: Anthropic and Google have both made similar "embed engineers/agents directly into enterprise workflows" moves this year. The competitive question in enterprise AI has clearly shifted from "whose model is smartest" to "whose product actually gets adopted inside a bank's existing workflow", and this is OpenAI's most direct answer yet to that question, aimed squarely at roles junior bankers currently fill.
Now available: ChatGPT for Financial Services. This is a tailored ChatGPT Work experience that combines built-in financial data with GPT-6 Astra’s reasoning. Teams can develop research, build financial models, and create customized client materials. openai.com/index/introducing…
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