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Hi AI Futurists,

Nvidia just posted the biggest quarter in its history, and the most interesting part happened the day before. OpenAI walked into a chip conference with silicon that beats Nvidia at its own game. Let's take a look.

Our agenda.

  • Top AI news

  • Nvidia's record quarter meets OpenAI's chip

  • 3 AI tools to boost your workflow

  • AI in the wild

  • AI Investment Report

Best,
Lex Sokolin

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Top AI News

💰 Nvidia is in talks to back Perplexity at a $30 billion valuation (PYMNTS). Perplexity's revenue run rate passed $750 million, triple where it started the year. Huang calls it his go-to chatbot, and now he wants a receipt.

🤖 Amazon is shutting down Mechanical Turk after 21 years (The Next Web). Half a million people doing micro-tasks for cents ends September 30. A 2023 study found nearly half of them were already using AI to do the work.

📊 OpenAI is gaining on Anthropic with business users (TechCrunch). Ramp data across 70,000 businesses puts Anthropic at 44% and OpenAI at 40%, and OpenAI is closing fast. Enterprise loyalty lasts exactly one model release.

🧠 Claude's memory now spans chats and Cowork sessions (Engadget). One memory across chat and agents, visible and editable by topic. Health, religion, and politics stay out unless you opt in.

🎵 Universal, Sony, and Warner all bought into Stability AI (Music Business Worldwide). A $76 million round, the first time all three majors took equity in one AI company. Cheaper than three lawsuits.

Emerald AI hit unicorn status making data centers grid-friendly (SiliconANGLE). $150 million at a $1.05 billion valuation for software that flexes a data center's power draw with the grid. Power is the new GPU.

🚕 Waymo is taking its robotaxis to Munich (TechCrunch). Its first European market, with testing in weeks and service targeted for late 2027. Straight into BMW's home town.

🚚 Gatik raised $200 million for driverless trucks (Forbes). Qatar's sovereign fund led the round after 85,000 fully driverless deliveries for Walmart and Tyson. Freight got boring, which means it works.

🎓 OpenAI gave free ChatGPT to 100,000 more teachers (9to5Mac). Another 55 school systems across 20 states, free through June 2028. Free until 2028, sticky forever.

🚀 Musk told Cursor staff he is "not used to losing" (Gizmodo). At his first all-hands since SpaceX's $60 billion Cursor deal, Musk admitted Grok fell behind OpenAI and Anthropic. Forty-five staffers have already left.

Nvidia's Record Quarter Meets OpenAI's Chip

Nvidia reported $96.2 billion of second-quarter revenue on Wednesday, up 106% from a year earlier and about $4 billion ahead of Wall Street's estimate. Data center sales made up $89 billion of it, earnings came in at $2.22 a share against $2.09 expected, and the company handed $26 billion back to shareholders in a single quarter. Jensen Huang told analysts that "AI has reached its inflection point" and demand is accelerating, then went further than any guidance the street had modeled: roughly 70% revenue growth for fiscal 2028, where analysts had penciled in 44%. For a company this size, that forecast is the story. It says the spending has years left to run.

The awkward part happened a day earlier at the Hot Chips conference. OpenAI unveiled Jalapeño, its first custom chip, designed with Broadcom and built into systems by Celestica, and independent benchmarks from SemiAnalysis showed it beating both Blackwell and the newer Rubin at inference. The numbers were not close: 1.5 to 1.9 times more work per watt at peak throughput, latency up to 3.6 times lower, and 1,400 tokens per second on GPT-OSS 120B. There are real caveats. Jalapeño only runs inference, the chips shown were engineering samples, and volume production does not start until 2027. Still, the design work began in mid-2024, which means OpenAI built a Nvidia-beating chip on its first try in about two years.

Here is how both stories fit together. Training built Nvidia's monopoly, but inference, the everyday work of running models for customers, is where AI spending goes as products mature, and inference is exactly where every big customer is building an exit. Google has TPUs, Amazon has Trainium, and now OpenAI has Jalapeño. Nvidia's response this week was to go deeper into its customers instead: those Perplexity talks would value the company above $30 billion. If your product runs on someone else's model, this is the best pricing news you have had all year. Chips competing at the inference layer is how API prices keep falling, and the fight officially has a second contender.

Takeaways at a Glance:

  • Nvidia booked $96.2 billion in second-quarter revenue, up 106% year over year, beating estimates by roughly $4 billion. Earnings were $2.22 a share against $2.09 expected.

  • Data center revenue was $89 billion of the total, and Nvidia returned a record $26 billion to shareholders in the quarter, including $20 billion of buybacks.

  • Huang forecast roughly 70% revenue growth for fiscal 2028, far above the 44% analysts had modeled, saying demand is accelerating.

  • One day earlier, OpenAI unveiled Jalapeño, its first custom chip, built with Broadcom and Celestica. SemiAnalysis benchmarks showed 1.5 to 1.9 times better efficiency than Blackwell and Rubin at inference.

  • Jalapeño is inference-only and still in engineering samples, with volume production slated for 2027. Nvidia, meanwhile, is in talks to back Perplexity at a valuation above $30 billion.

What We Think About It:

  • The benchmark is real and the hardware is still a year out. Nvidia's risk is that every large customer just got a credible reason to negotiate.

  • Huang's 70% forecast is a bet that demand grows faster than customers defect.

  • Margins follow scarcity, and scarcity is moving from chips to power.

What You Can Do Right Now:

  • Renewing an API or model contract? Ask what 2027 pricing looks like before you sign.

  • Pencil next year's unit economics at falling inference prices, not rising ones.

  • Watch whether Google, Amazon, and Meta start publishing chip benchmarks too. That's the tell that the price war is on.

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AI Investment Report

This 121-page research report provides the first comprehensive taxonomy of public companies, private ventures, and tokenized protocols building the infrastructure for autonomous AI systems. Compiled by Lex Sokolin, former Chief Economist at ConsenSys, fintech strategist at Autonomous Research, and current Managing Partner at Generative Ventures, this report delivers institutional-grade analysis of 100+ companies across 14 critical infrastructure layers. Learn more here.

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