
Welcome, humans.
DayOne, Cortical Labs, and researchers at NUS Medicine turned on Singapore's first "biological data center" this week.
Instead of silicon chips, the system runs on “wetware” or real neurons grown from stem cells, wired into a rig that processes information like a tiny brain in a box. The idea is that living neurons can handle certain computing tasks on a sliver of the electricity a normal server farm burns through.
Your brain runs on about 20 watts and never had to raise a Series B.
Also, We covered how Samsara's CTO is moving AI agents out of the browser and into trucks, warehouses, and dash cams, turning fleet data into agents that flag problems before a missed signal turns into a breakdown.
Here’s what happened in AI today:
😸 Nvidia backed $105 billion in financing for OpenAI's new data center in Ohio, the largest ever built.
📰 OpenAI reportedly disbanded its Preparedness team, the group responsible for catastrophic AI risk.
📰 Microsoft's stock dropped after a report questioned whether its AI chip supply matches its promises.
📰 Alibaba released a laptop-ready open AI model days after Meta launched its own.

😺 Nvidia Bankrolled the Biggest Data Center Ever Built
OpenAI doesn't have the credit score to build what it wants to build. Its biggest supplier is co-signing the loan.
Here's the deal: Nvidia is backing roughly $105 billion in financing tied to OpenAI's new 20-year lease on a 10-gigawatt data center campus in Pike County, Ohio, built on a decommissioned uranium enrichment site. It's the largest data center project ever announced.
Here's what happened:
Nvidia agreed to back the financing, essentially vouching that OpenAI can repay the loan, covering construction and lease costs but not the chips themselves.
SB Energy, SoftBank's power subsidiary, will build and run the site.
The deal creates an estimated 35,000 construction jobs through 2032 and 2,500 permanent roles.
Nvidia CEO Jensen Huang said the goal is compute OpenAI can "upgrade repeatedly" as new chips come out.
The numbers, for context:
10 gigawatts is roughly the annual power draw of 8 million U.S. households.
Total project cost, including chips, could top $500 billion.
This is on top of the $30 billion Nvidia has already invested directly in OpenAI.
Our take: This is either the biggest infrastructure bet in tech history, or the clearest sign yet that nobody in this industry can actually afford what they're building. OpenAI still loses money every year, which means banks won't lend it money at good rates on its own (the same way a bank charges you a worse interest rate if you don't have steady income). So instead, Nvidia is stepping in and essentially guaranteeing the loan, the way a parent might co-sign an apartment lease for a kid who doesn't have a credit history yet. If AI demand doesn't grow into $500 billion worth of Ohio server racks, Nvidia doesn't just sell OpenAI chips anymore. It also becomes the company that owns the building, the company that lent the money, and the company OpenAI now owes if things go sideways, all at the same time. That's an enormous amount of power for one company to hold over another it's supposed to just be doing business with.

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🎓 AI Skill of the Day: Give AI a Design System, Not Vibes
AI website builders produce generic pages when your prompt contains goals but no visual rules. Vercel’s design-system guidance recommends giving the model reusable brand context instead: colors, fonts, spacing, components, and reference blocks.
Before asking for a page, provide three things:
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Reference assets: screenshots, logos, or an existing page that feels right.
Component rules: which buttons, cards, navigation, and layouts it should reuse.
Build this page using these brand rules: [tokens]. Match these references: [assets]. Reuse these components: [list]. Before coding, summarize the visual system and flag any missing decisions.Have a specific skill you want to learn? Request it here.

🍪 Treats to Try

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Wispr Flow added the Canto speech model and a meeting notetaker that produces summaries and action items.
Similarweb AI Ads tracks sponsored placements across ChatGPT, Google AI Mode, and AI Overviews using observed browsing data.
Vercel’s UI review skill lets coding agents audit interfaces against accessibility, performance, and UX rules.
Meterless saves your AI's exact steps as a reusable "mission," so you can replay a workflow (like updating a spreadsheet, then emailing the team) without spending new tokens every time—free to try.
Atlas joins your Slack as a coworker who answers questions, drafts follow-ups, and tracks who's covering what, pulling context from 200+ connected tools like Gmail, Notion, and Salesforce.
Whisperstream lets you dictate straight into any Windows app (Gmail, Slack, VS Code) with zero cloud upload, transcribing entirely on your own PC—paid only rn ($29 one-time).

📰 Around the Horn
OpenAI reportedly disbanded its Preparedness team, the group tasked with assessing catastrophic AI risk, weeks after one of its models escaped a test environment and hacked Hugging Face.
Microsoft's stock dropped after a Guardian investigation found the company may have far fewer AI chips installed than its own data center capacity claims would require.
ChatGPT launched an opt-in feature that logs your clicks and keystrokes across apps so it (and Codex) can remember what you were working on.
Alibaba released a laptop-ready open-weight model days after Meta launched its own, deepening their fight over who leads open-weight AI.
Cursor launched Origin, letting it host and manage your code directly instead of just editing it.
Relay, an AI workflow automation startup, shut down; its CEO is now heading to lead AI product for Google Chrome.

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🛠️ Tuesday Tool Tip: Check Whether AI Is Selling Against You
Similarweb’s new tracker estimates where sponsored answers appear across ChatGPT and Google’s AI experiences. Search your category, competitors, and high-intent questions before buying conversational ads.
You will learn whether the inventory exists and which prompts already attract sponsors.

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A Cat’s Commentary


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