Welcome, humans.

It’s official: the legendary AI researcher (former OpenAI, former Tesla) and arguably the industry’s biggest influencer, Andrej Karpathy (he coined the term “vibe coding”), has chosen a side and joined Anthropic and is now heading back to frontier R&D.

This makes sense if you’ve been paying attention; it’s not like he’s going to join OpenAI (he already left), and he’s too independent for Google or Microsoft. That, and by every measure it appears Anthropic is ahead in the big lab model race. If you’re gonna play… why not play for keeps?

There were so many good memes about this, including translating it for non-AI folks as the equivalent of Ronaldo joining Manchester United, the obligatory “what did Karpathy see?” (nice one Dan) and this one (which transitions perfectly into our main story of the day; thanks Trung!):

Here’s what happened in AI today:

…and a whole lot more that you can read about here

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😺 Google Put Gemini Agents Everywhere at I/O

DEEP DIVE: Everything Google announced at I/O 2026

Google held its annual I/O conference yesterday, and they used it to make one thing clear: Gemini is becoming the layer underneath all of the apps people already use… whether they like it or not.

Here’s what happened, in brief (read the deep dive for everything):

…and a whole lot more than that you can read about in our deep dive.

Why this matters: The real story, though, was pretty simple: Google wants Gemini to stop feeling like a chatbot and start feeling like the operating layer across search, email, docs, shopping, video, glasses, coding, and app building. At some point, the assistant stopped being shoehorned into the apps and will now become the plumbing beneath it.

This matters for Google because the AI race has drifted away from “which chatbot answers best?” and toward “which company can turn answers into action?” Google’s answer is obvious: put Gemini inside everything, from Search, Gmail, Docs, YouTube, shopping, Android, coding, app building, and glasses.

Our take: Google has the distribution advantage, to be sure. ChatGPT and Claude are destination apps. Meanwhile, Google owns the end work surfaces: inbox, docs, browser, phone, YouTube, Search, shopping, and the developer stack. All the endpoints where the work you do with the AI in the middle actually touches the rest of the world.

That means Google can make agents feel less like a new habit and more like a new setting inside the tools you already open all day. If it works well, it will feel like your tools just getting better.

The hard part now is permission. A search engine that answers is useful. A search engine that monitors, books, shops, builds, writes, and edits needs trust.

If Google gets that right, the next AI interface may feel less like opening a chatbot and more like telling your computer what outcome you want. Which is how AI SHOULD work.

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🎓 AI Skill of the Day: Use Gemini Like a Task Router to Help Best Use Gemini

Google now has Gemini everywhere. So the skill today: make Gemini pick the right surface before you start. Google’s own prompt guide says Gemini works best with direct, structured instructions, so give it a routing job first.

Good rule of thumb: Start with reversible tasks: monitor, draft, compare, storyboard, or prototype before you let an agent send, buy, delete, or publish.

Have a specific skill you want to learn? Request it here. 

🍪 Treats to Try

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NEW from The Neuron: Our Recap of the Great Post Transformer Debate

Our most popular podcast interview to date on The Neuron AI Explained was with Zuzanna Stamirowska, CEO of Pathway and whose company invented one of the most credible “post transformer” model architectures to date (called BDH). So when Pathway hosted an entertaining boxing-themed debate between the transformer and so-called post-transformer models, you know we had to tune in and see what’s up.

Check out the video above, or read our recap of the debate here.

📰 Around the Horn

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📖 Midweek Wisdom

A Cat’s Commentary

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