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🧬 Claude’s in the DNA of Science

Elon Wanted $80B & Full OpenAI Control? šŸ™„

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Claude is running real science experiments. Meanwhile, China just trained a full AI model with zero U.S. chips, and Physical AI is about to change how you live.

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AI INSIGHTS

claude-is-becoming-a-research-scientist-for-real

In a new study, Anthropic shows how Claude is doing what used to take months in minutes with real research.

They profiled 3 different labs doing cutting-edge biomedical work, all using Claude to boost speed, reduce guesswork, and unlock workflows that were previously too complex or too slow to even attempt:

  • Stanford’s Biomni: a Claude-powered research agent across 25 fields

    • Biomni can even learn expert workflows when the standard method doesn’t apply like a memory bank of scientific skills

  • MIT’s MozzareLLM: another lab used Claude to interpret CRISPR screen results where thousands of genes are disabled to see what fails.

    • When tested against other models, Claude correctly spotted an RNA modification pathway the others missed

  • Stanford’s Lundberg Lab: One lab spends $20K+ per gene screen, so picking the right targets is a big deal. They usually guess using spreadsheets.

    • Now, Claude navigates a molecule relationship map to suggest gene targets

None of these breakthroughs came from just ā€œchattingā€ with Claude. The key was connecting Claude to research tools, building custom workflows, then adding guardrails. So it really takes time.

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MUST-READ: 2026 WON’T BE ON SCREENS

ces-2026

You’re probably thinking: ā€œGreat, another hype term for robots that don’t exist yet.ā€ It’s totally fair to think like that. People have been throwing buzzwords at you for years.

But this one, Physical AI, is not about sci-fi trailers or humanoid demo videos that fall on stage. Nvidia, Tesla, and the entire supply chain are already racing to dominate the $123B physical AI stack.

If you're a consumer, creator, or worker, you’re already part of this story.

That’s why we broke down what’s actually working, what’s just over the horizon, and the 4 big bets that will define this space in 2026.

You’ll want to read this before your fridge starts negotiating with your dishwasher šŸ‘‡ Highly recommend, no hidden fee at all.

TODAY IN AI

AI HIGHLIGHTS

šŸ“– Leo Tolstoy is accused of using AI!? A viral tweet claimed his books are full of "AI traits" like em dashes, despite him dying in 1910. Apparently that's an AI crime now lol.

šŸ›‘ If you’re writing anything online, you need to check this list. It’s full of cursed phrases that instantly out you as AI-powered. Just add them to your chat as a ban list.

šŸŽØ Midjourney launched Niji v7, its new anime model with sharper eyes, better prompt accuracy, and a flatter 2D style. See details and sample renders here.

āš–ļø Altman fired back at Elon’s lawsuit, revealing he wanted $80B for a Mars colony and AGI run by his kids. Elon called OpenAI ā€œ0% likely to succeedā€ before leaving.

šŸ­ Trump admin wants tech giants to pay $15B for power plants they might never use. ā€œIt wasn’t consulted and isn’t thrilled.ā€ Here's why this could shake up AI infras.

āš ļø ā€œBig Shortā€ investor Michael Burry dropped a Buffett quote to explain why he thinks the AI boom & stocks like Nvidia, will end badly. You might wanna read this.

šŸ’° Big AI Fundraising: Parloa raised $350M just 8 months after its $1B round. Its AI agents already serve SAP & Allianz, targeting a 17M-worker customer support market.

NEW EMPOWERED AI TOOLS

  1. 🧠 1Code runs multiple Claude Codes agents in parallel to dramatically sped up how we build features

  2. šŸŒ Google’s TranslateGemma is an open translation on Google models, supporting 55 languages

  3. šŸ¤– Stracti creates bots using the web, desktop, or mobile, then runs them locally through the desktop app

  4. šŸ’§ Dewdrop turns your forgotten bookmarks into daily discoveries. Free to start

  5. ⭐ OMEGA is an ultra-fast, security-first 3.6MB browser that never tracks, profiles, or sells your data

AI BREAKTHROUGH

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GLM-Image Dense-Knowledge Showcase

Zhipu AI just launched GLM-Image, a 16B-parameter open-source image generator that’s notable because it was trained entirely on Huawei’s hardware, with zero reliance on U.S. chips.

It’s the first major model fully trained on Chinese hardware and software, with no Nvidia, no AMD, no U.S. tech involved at all.

That’s a full domestic stack, something China’s been trying to pull off for years. Now they’ve done it. Zhipu’s model uses a two-stage system:

  • A 9B autoregressive transformer predicts compressed ā€œsemantic VQā€ tokens that describe the layout and meaning of the image.

  • Then a 7B diffusion transformer renders the final image from those tokens, guided by flow matching embeddings for sharper text

Post-training, they used a mix of rewards and optimization tricks. It’s not the flashiest model we know (can’t beat Nano Banana or Seedream), but it’s really good at generating text-heavy images.

Zhipu wanted to prove that China can train foundation models without U.S. chips. Huawei’s stack is ready for prime time. It’s a milestone in tech independence.

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