Today, we announced more than $250 million in new funding, led by Innovation Industries with BlackRock and SiteGround Capital joining as new investors alongside many of our original backers doubling down. Total capital raised now exceeds $450 million, making this the largest
STARTUPS
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Model companies raise capital and deploy AI models in one year
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"In the past if you raised money, you basically had to wait for engineering to catch up, which famously doesn't scale, like the mythical man-month that took a very long time. But that's not the case here.
— Latent.Space (@latentspacepod) 24 février 2026
A model company can raise money and drop a model in a year and it's… https://t.co/jtAkbJwG6B pic.twitter.com/4njNfM4NKn"In the past if you raised money, you basically had to wait for engineering to catch up, which famously doesn't scale, like the mythical man-month that took a very long time. But that's not the case here. A model company can raise money and drop a model in a year and it's
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Competition and innovation needed to prevent AI monopoly control
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We need more competition and innovation spreading in AI, not less. Otherwise, we'll end up in a world controlled by a few companies, which would be very scary!
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DeepSeek’s Emergence as a Significant Development in AI
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DeepSeek, just another great Chinese success story.
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Theo and Anthony from Pika Labs Discuss Partnerships
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Theo (@theo_tech_news), AI Self of Pika Head of Partnerships Anthony (@aj_fernand) pic.twitter.com/nSXoztSRP1
— Pika (@pika_labs) 23 février 2026Theo (@theo_tech_news), AI Self of Pika Head of Partnerships Anthony (@aj_fernand)
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OpenHunt: AI Agents Solve SaaS Discovery Problem
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SaaS is dead. Every day thousands of vibe-coded products get shipped, landing pages go live, AI wrappers drop, Chrome extensions launch, and yet almost nobody makes real money. Not because the tools are bad, but because discovery is broken. When everything can be built in a weekend, attention becomes the only scarce asset. That’s why we’re building OpenHunt around AI agents. Humans submit products, agents autonomously evaluate them, structure the signal, and surface what actually matters. If something truly fits your workflow, your agent can even recommend it to you directly. Bring your agent into OpenHunt.
→ View original post on X — @arrakis_ai, 2026-02-23 08:24 UTC
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Becoming a Dev in 2026: Mastering AI Agentic Systems
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If you're a developer in France and wondering what to learn in 2026, this post is for you 👇 I don't communicate much in French, but if I can help French speakers make the right choices about what to learn, I will. Let me introduce myself: I'm Brivael, tech co-founder of @argildotai, I went through Y Combinator in 2024 and raised 5 million euros. We're currently a team of 11 people based in Paris and we're building what will be seen in the future as a kind of AGI / Agent to produce videos for social media. Today we have tens of thousands of users, we're focused on video generation with AI avatars, but we're going to expand to much more than that very soon. If you want to ride the AI wave, it's still possible. But you have to be honest about what it takes. To paraphrase @naval: there will no longer be demand for average people. It's brutal but it's reality. If you don't find a way to be in the top 5% of what you do, you'll be unemployable. Not in 10 years. Soon. At Argil we have 7 tech people internally. And we're automating almost the entire software construction process. Our days increasingly boil down to one thing: designing agentic systems, validating architecture, orchestrating AI agents to do the rest. Classic code? Agents already do it. What has value today is the ability to think in systems, to understand how to orchestrate models together, to know when an agent should decide and when it should delegate. And that's where many get it wrong: even if AI produces 100% of the code, without mastery of software engineering, architecture and systems as a whole, it's almost impossible to [Translated from EN to English]
→ View original post on X — @flashtweet, 2026-02-22 23:08 UTC
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Exponential Scale Podcast Now on Video with beehiiv CEO
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The Exponential Scale podcast is finally on video! Check out this episode with @denk_tweets , CEO of @beehiiv and let me know what you think of the fully automated AI editing system! piped.video/watch?v=PDCd9bPO…
→ View original post on X — @rschmelzer, 2026-02-22 20:16 UTC
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Wayve’s London Robotaxi Trial with Uber Challenges City Deployment
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“London is one of the most challenging cities in the world, compared to San Francisco, where we see the majority of global autonomous vehicle deployments." Nice piece from @laurencesleator of The Times on Wayve's upcoming robotaxi trial with Uber: thetimes.com/uk/transport/ar…
→ View original post on X — @ryan_browne_, 2026-02-22 08:53 UTC