Zuck’s AI Lab to Design Proteins

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🧬 Zuckerberg's Biohub Just Released an Open AI System That Can Design Proteins Targeting Cancer

Mark Zuckerberg and Priscilla Chan's Biohub released Evolutionary Scale Models this week, an open AI system built to map, predict, and design proteins, with early lab results already showing progress against cancer and immune disease targets.

The Decode:

ESMFold2 Is Already Outperforming AlphaFold - Built on a protein language model trained on 2.8 billion sequences, ESMFold2 claims state-of-the-art results on structure prediction, beating AlphaFold on both protein-protein and antibody-antigen prediction.

Early Lab Results Are Showing Real Hit Rates - The model designed binders against five cancer and immune targets with hit rates between 36% and 88%, moving beyond prediction into actual protein design with measurable outcomes.

ESM Atlas Maps the Entire Known Protein Universe - The system includes a map of 6.8 billion protein sequences and 1.1 billion predicted structures, surfacing evolutionary connections that were previously impossible to see at this scale.

The entire system is open, not proprietary, which means researchers outside Biohub can build on it immediately. That openness could accelerate drug discovery timelines significantly across the broader scientific community.

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🤖 AI Agents Can Now Trade Stocks and Make Payments on Your Behalf

The line between an AI assistant and a financial actor just moved. Robinhood launched agentic trading this week, while Liquid lets you execute trades directly inside ChatGPT or Claude, without ever switching apps.

The Decode:

Robinhood Just Gave AI Agents Their Own Trading Account

Users connect AI agents through MCP, set a dedicated budget, and let agents analyze portfolios, suggest strategies, and execute stock trades autonomously. Agents are no longer just helping you think, they are acting on your behalf.

Robinhood plans to expand beyond stocks into options, crypto, futures, event contracts, and prediction markets. Gold Card holders also get a virtual card for agents with monthly spend limits and optional approval per transaction.

Liquid Lets You Invest Without Leaving ChatGPT or Claude

Liquid's Co-Invest app connects directly to your AI chat. Ask Claude or ChatGPT for an investment idea, see the reasoning behind it, and execute the trade in the same conversation window.

No switching tabs, no separate brokerage interface. The research and the transaction happen in one place, powered by live market data and AI analysis running simultaneously. You can watch it here. 

Robinhood is not alone. Stripe, Amazon, Google, and startups like Prava Pay are all building infrastructure that lets AI agents transact on users behalf. The winning agent app now needs permissions, spending caps, audit logs, and a panic switch.

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🚀 Quick Hits

🎥 YouTube is rolling out AI-powered custom video feeds that let users describe exactly what they want to watch, generating personalized content streams that can be pinned directly to the homepage.

🎵 ElevenLabs says its new Music v2 model can generate more advanced AI songs with genre-switching transitions, faster rap delivery, sound effects support, and commercial-safe output trained entirely on licensed data.

💰 AI coding startup Cognition raised $1 billion at a $26 billion valuation, saying revenue and usage have grown more than 10x since January as adoption of its Devin AI software engineer accelerates.

🛒 Amazon is now offering its AI shopping assistant technology to other retailers, allowing brands like Kate Spade to build customized AI shopping chatbots with personalized recommendations, pricing, and store support features. 

🧑‍💻 Anthropic rolled out major reliability upgrades for Claude Code, improving responsiveness, MCP stability, error handling, session recovery, and long-context management for more dependable AI coding workflows.

⚠️ OpenAI says GPT-5.2 and GPT-5.3-Codex will be removed from Codex on June 2, while GPT-5.5 becomes the default coding model for free users, though older models will remain accessible through the API.

🧩 Prompt of the Day

Revenue Forecasting That Supports Smarter Growth Decisions

Most forecasts are just optimistic guesses. Strong revenue forecasting combines historical performance, growth assumptions, and market context to guide smarter budgeting and investments.

Turn forecasting into a strategic planning tool.

Paste the prompt: Drop this into ChatGPT, then fill in your business details.

Prompt to paste

Create a revenue forecast for [Insert quarter or year] using historical sales performance and projected growth assumptions. Analyze past sales trends, seasonality, and expected growth rates to estimate future revenue. Include best-case, expected, and conservative forecasting scenarios, and explain the key factors influencing each projection. Recommend how these forecasts should impact budgeting, hiring, inventory planning, and marketing investments. Focus on making the forecast practical, realistic, and useful for decision-making.

🤳AI Nugget of the Day

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