Institutional-grade equity research on AI infrastructure, power, and the capital cycle. Synthesized from the same data pipeline that feeds the MCP endpoint.
Near Fable 5 intelligence at half the price — and beating it on Frontier-Bench, ARC-AGI-3, and OSWorld. The product ladder is complete.
The "open source with impunity" thesis sounds clever. The hardware reality says something else entirely.
A coalition of 25 companies led by NVIDIA and Microsoft is asking Washington not to kill open-weight AI. OpenAI and Anthropic didn't sign. Here's what's really at stake.
A deterministic supply-and-demand model of AI inference, anchored to what the labs actually disclose
Half the sticker price, twice the tokens burned — how Kimi K3's apparent cost advantage evaporates under scrutiny
The Big Short investor halved his bearish bet in late June before reposting his takedown. The options market is pricing a battleground, not a collapse.
The 0.99 correlation that turns every NVIDIA earnings print into a 9-month forecast for AI infrastructure spending — and what tonight's GOOGL print means for the buildout trade
The gap between American and Chinese AI models is real and widening. But the story of who wins and loses is more complicated than a 60x price difference suggests.
IBM just proved the budget-crowding-out thesis. But the market already priced it in. Now ServiceNow and IBM report Wednesday, and the whole SaaS narrative hangs in the balance.
The viral claim that K3 runs on 277KB of SRAM is marketing. The real story: frontier MoE models need more memory than ever, and every layer of the hierarchy is supply-constrained.
Washington finally cleared H200 sales into China in July 2026. Beijing had told its firms to stop buying six months earlier.
Chip stocks fell into a bear market this month. The companies building the physical plant behind AI kept beating their own guidance.
H200 and B200 spot prices are rising, token demand just spiked 38% in a week, and hyperscalers are spending $725 billion this year. But the overall market is still balanced, and H100 remains loose.
Goldman says 250,000 humanoids ship in 2030. Bank of America says 1.2 million. That 5x gap between serious desks is the whole argument for owning what goes inside the robot instead.
China made 94% of the world's sintered permanent magnets in 2024. Every humanoid needs 3.5 kg of them. Musk already had Optimus throttled by the export rule, and the US answer just got blacklisted by Beijing.
Token consumption hit 58.5 trillion per week after GPT-5.6 and DeepSeek V4 launched in July. H200 rental capacity is already tight. The Jevons effect is real.
China's Moonshot AI shipped a 2.8-trillion-parameter open model that beats Fable 5 and GPT-5.6 Sol on frontend coding. David Sacks says it proves the US is regulating itself out of the AI race. Here's what the data actually shows.
The Micron and HBM bull case has been the consensus for a year. Ben Thompson made the sharpest bear case against it on his July 6 Sharp Tech podcast. Three long-tail threats, one Tim Cook quote, and a memory oligopoly quietly manufacturing its own competition.
Baker crossed 3.38 million views on a single post arguing that the AI infrastructure bull case depends on frontier lab margins collapsing, not holding. If he is right, chip demand goes up even as Anthropic's $1T IPO valuation goes down. Here is the mechanical chain.
Ben Thompson says the memory oligopoly overplayed its hand. Micron's CFO just pulled a $100 billion market forward by a year. Both timelines land in 2028.
Moonshot AI's 2.8-trillion-parameter open model ships with a quiet requirement: deploy on 64+ accelerators. That is a GB300/B300 job, and NVIDIA's guidance already says demand has gone parabolic.
Claude Fable 5 can migrate 50 million lines of code in a day. It can also build the pretraining pipeline for the next Claude. So Anthropic secretly nerfed it. The contradiction is structural, and it's only getting worse.
Five large-cap M&A deals worth $94 billion landed inside five days across fintech, biotech, food delivery, satellite, and AI materials. Individual deals get individual stories. Five deals in five days across five sectors is a signal.
The seven most important stocks on Earth are trading at their cheapest growth-adjusted multiples in years. The AI capex overhang is real. The earnings are realer. Here's the full scorecard.
The semiconductor trade is coming apart, but the market is not crashing. The S&P 500 is down just 0.3% on the day. The money is not leaving, it is rotating. Semis are the source of funds, and the destination is energy, big-cap quality, and defensive yield. The SMH semiconductor ETF closed at $56