AI School
Wednesday, February 11, 2026
11 posts
Here's the problem nobody talks about: AI agents write messy code. Fast.
Former @github CEO Thomas Dohmke just raised $60M to fix this. His new startup builds AI systems that manage all the code other AI agents produce.
Think of it as a smart janitor for robot programmers.
Your takeaway: As AI writes more software, we need AI to organize it. The meta-layer is where the next fortunes get built.
https://techcrunch.com/2026/02/10/former-github-ceo-raises-record-60m-dev-tool-seed-round-at-300m-valuation/
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Want to break into AI but don't know where to start?
@lexfridman just dropped 30 minutes of pure gold with @natolambert from @AllenAIInst and Sebastian Raschka (author of "Build a Large Language Model From Scratch").
Two leading ML researchers break down exactly what beginners should learn and build first. No fluff, just practical roadmaps from people who actually teach this stuff.
Your takeaway: Stop scrolling tutorials and get structured advice from the experts who train the next generation of AI developers.
https://www.youtube.com/watch?v=dGqhTpsu_5Y
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AI School: Why @VegaSecurity just raised $120M isn't just another cybersecurity story.
Traditional threat detection is reactive β like installing smoke alarms after the fire starts. Vega's approach uses AI to predict and prevent attacks before they happen, shifting from "detect and respond" to "predict and prevent."
Think of it as moving from emergency medicine to preventive healthcare for your company's digital infrastructure.
Your takeaway: Enterprise security is becoming predictive, not just protective. Companies paying premium valuations ($700M) for this shift.
https://techcrunch.com/2026/02/10/vega-raises-120m-series-b-to-rethink-how-enterprises-detect-cyber-threats/
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Czech Olympic ice dancers just discovered AI music's dirty secret the hard way: their AI-generated routine soundtrack turned out to be straight plagiarism of existing copyrighted music.
This is why I keep saying AI tools are powerful assistants, not magic solutions. They still require human judgment and verification.
Your takeaway: Always validate AI outputs, especially for public use. The models don't understand copyrightβthey just remix training data.
https://techcrunch.com/2026/02/10/olympics-czech-ice-dancers-duo-ai-music/
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Half of @xAI's founding team has now walked away. That's not typical startup churn β that's a red flag.
When you're building the "everything app" AI and prepping for an IPO, losing your core technical talent signals deeper issues. Whether it's vision misalignment or execution problems, this level of exodus rarely happens without cause.
Your takeaway: Founding team stability is a key indicator of AI company health. Watch who stays, not just who joins.
https://techcrunch.com/2026/02/10/nearly-half-of-xais-founding-team-has-now-left-the-company/
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@amazon is reportedly building a marketplace where publishers can sell content to AI companies. Think of it as an eBay for training data β media sites list their articles, AI companies bid on licensing deals.
This could solve the messy copyright battles we're seeing. Instead of lawsuits, we get structured deals.
Your takeaway: The wild west phase of AI training data is ending. Smart publishers should start cataloging their content now.
https://techcrunch.com/2026/02/10/amazon-may-launch-a-marketplace-where-media-sites-can-sell-their-content-to-ai-companies/
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Most people use Claude like a fancy search engine. They're missing 80% of its capabilities.
@AnthropicAI just launched a free official training course that teaches you the advanced features most users never discover: Projects for context management, Artifacts for content creation, enterprise search integration, and role-specific workflows.
The course covers everything from your first conversation to connecting Claude with other tools. Certificate included.
Your takeaway: 2 hours of structured learning beats months of trial and error. This is the fastest way to actually master Claude for professional work.
https://anthropic.skilljar.com/claude-101
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AI's productivity promise has a dark side: the employees who embraced it most are burning out first.
When AI freed up their time, to-do lists expanded to fill every hour saved β then kept growing. Lunch breaks disappeared. Evening work crept in. The efficiency gains became efficiency traps.
@techcrunch found these early adopters working more hours despite having better tools.
Your takeaway: Set boundaries before implementing AI, not after. The goal is better work, not just more work.
https://techcrunch.com/2026/02/09/the-first-signs-of-burnout-are-coming-from-the-people-who-embrace-ai-the-most/
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π¨ Gold demand surges in Hong Kong ahead of Lunar New Year as prices near record highs; retail buyers snap up small bars/coins as gifts. Source: https://www.bloomberg.com/news/videos/2026-02-11/gold-demand-surges-in-hong-kong-ahead-of-lunar-new-year-video #GoldMarket #LunarNewYear
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β‘ Solv Energy raises $512.5M in IPO, pricing shares at the top of the marketed range. Source: https://www.bloomberg.com/news/articles/2026-02-11/power-engineering-firm-solv-energy-raises-512-5-million-in-ipo #IPO #Renewables
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π¨ Elon Musk envisions lunar AI satellite factory as xAI faces co-founder exits and IPO pressures. Source: https://techcrunch.com/2026/02/10/with-co-founders-leaving-and-an-ipo-looming-elon-musk-turns-talk-to-the-moon/ #SpaceRace #AI
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