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TODAY IN AI
1 Big Tech's AI spending is $3 trillion higher than it appears on paper, according to a new Wall Street Journal investigation.
Nine top tech firms are carrying $3 trillion in off-balance-sheet AI commitments, including $1.2T in data center leases and $1.9T in hardware obligations. That spending has already pushed Alphabet, Amazon, and Meta into negative free cash flow. Investors also flagged that these deals are growing larger and more structurally complex over time, making it genuinely harder to assess any single company's total exposure from the outside.
2 Anthropic's revenue jumped 14x year over year as the lab reportedly eyes a $2 trillion valuation for its October IPO.
Anthropic's preliminary revenue hit $11.5B in its most recent quarter, up from $787M in the same period last year. The lab reportedly projects roughly $190B to $200B in annual revenue by 2028, and is now seeking a $2 trillion valuation for its October listing, according to the Financial Times. Investors are reportedly having a genuinely difficult time pricing the company, since both its revenue and its expenses are growing at rates that are hard to model with any real confidence.
3 Nous Research rolled out Bot Mode, letting each desktop agent run its own model, skillset, and memory while talking directly to the others.
Bot Mode gives each of your Hermes Desktop agents its own dedicated skillset, model, and memory, making it easier to command multiple agents across your computer at once. Agents can also talk to each other directly, sharing context quickly across message threads instead of each one starting cold. The desktop platform runs on macOS, Windows, and Linux. See how it works.
PRESENTED BY PARTICLE
Search podcasts by meaning, not just keywords.
Run a semantic search for a thesis or sector, like "GLP-1 exposure" or "commercial real estate," and read what experts have said about it, speaker-attributed and timestamped.
FROM THE FRONTIER
Who verifies AI's work ten years from now?
The Cognitive Commons. AI may be quietly depleting a resource that has nothing to do with water or electricity. A new paper argues that widespread AI adoption could slowly erode humanity's collective knowledge base. It builds on the Tragedy of the Commons, the economic theory stating that individuals acting in their own self-interest will deplete a shared resource, even when everyone ends up worse off as a result.
The fishing analogy. Consider overfishing. Each boat maximizes today's profit by pulling in as many fish as it can. Over time, that individually rational behavior collapses the fish population, hurting every boat, but no single fisherman is really to blame. The mechanism does not require anyone to act maliciously, only for everyone to act in their own short-term interest at the same time.
Society's version of the same trap. AI systems require oversight from human professionals who can step in when a model hallucinates or makes a bad call. But that kind of expertise only exists because organizations hired and trained entry-level workers 5 to 30 years ago, the exact cohort that is now most at risk of being automated out of the workforce today.
Depleting tomorrow's supply of experts. Just like the individual fishermen, firms can maximize profit today by automating entry-level roles. If enough companies make that same choice, the supply of qualified professionals shrinks, not today or tomorrow, but a decade down the road, when the current generation of experts starts retiring and there is a thinner bench behind them. At that point, the question stops being hypothetical: who is actually qualified to catch it when the AI gets something wrong?
IN THE KNOW
What people are actually watching and sharing
💻 100x productivity. Investor Gavin Baker says Grok Bot sent his productivity soaring "something like 100x," calling it another "Claude Code moment" for AI. Learn how SpaceXAI employees are already using the tool internally here (3M views).
😆 Getting personal. Dario Amodei does not have a long-lost twin. But you might think he did if you looked at Andrew Ambrosino's profile. The OpenAI employee updated his profile picture to blatantly troll the Anthropic CEO's sense of style.
🖌 Watercolor simulator. Who says AI cannot create art? This in-browser watercolor simulator, built by a Redditor using Claude, has gone viral for how shockingly well the painting effect works. See for yourself. (4,000 upvotes)
👀 Silent epidemic. This viral excerpt from the Financial Times is your daily reminder to never outsource critical thinking to an LLM. The full article outlines the "silent epidemic" spreading across American classrooms (1M views).
🎨 Design skills. Claude Code now has official design skills after Anthropic synced Claude's art board workflow directly into the coding tool. See how it works.
PROMPT STATION
Turn one expert's knowledge into a document your team can actually use
You are a knowledge management specialist. I'm giving you raw material from an expert explaining how they do part of their job: a transcript, rough notes, or a rambling explanation. Turn it into a structured reference document.
Raw material: [PASTE TRANSCRIPT, NOTES, OR EXPLANATION HERE] Role or domain this expertise covers: [ROLE OR DOMAIN]
Structure the output as: (1) a plain-language summary of what this person actually does that's hard to teach from a manual, (2) the specific judgment calls they make and what signals they rely on to make them, (3) common mistakes a less experienced person would make in this situation and why, (4) a short list of questions a newer team member should ask when they hit a similar situation. Preserve their actual reasoning and examples rather than generalizing them into vague principles.