Good morning, {{ first_name | AI enthusiasts }}. Demis Hassabis told us AI can cut drug discovery from years to months...and the industry is already showing signs.
Today, Biohub, the nonprofit backed by Mark Zuckerberg and Priscilla Chan’s CZI, dropped a “world model of protein biology,” setting a much-needed open foundation for molecular tools that can prevent or cure diseases.
P.S. Our next live workshop, ‘Claude Co-Work: With More Power Comes More Responsibility,’ is today at 2 PM EDT. Join for a breakdown of what Co-Work can do, where connectors and local files introduce risk, and how to stay in control. RSVP here.
In today’s AI rundown:
Biohub’s new ‘world model of protein biology’
OpenAI Foundation puts $250M behind AI disruption
Teach your AI agent to edit like you
An AI that keeps learning on the job
4 new AI tools, community workflows, and more
LATEST DEVELOPMENTS
BIOHUB
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The Rundown: Mark Zuckerberg and Priscilla Chan’s Biohub just released new Evolutionary Scale Models, creating an engine to map, predict, and design proteins — with the open system showing results against cancer and immune disease targets.
The details:
The highlight is ESMFold2, a model built on a protein language model (ESMC) trained on 2.8B sequences to predict protein structure and design proteins.
ESMFold2 claims SOTA on structure prediction, for both protein-protein interactions and for antibody-antigen prediction, and outperforms AlphaFold.
It is already starting to show results in the lab, designing binders against five cancer and immune targets with hit rates of 36–88%.
Its final component, ESM Atlas, gives a map of 6.8B protein sequences and 1.1B predicted structures, surfacing novel evolutionary connections.
Why it matters: With a $500M Virtual Biology Initiative and a SOTA, open-source stack of tools to accelerate protein discovery, Biohub is putting the infra of drug discovery into the hands of researchers everywhere. Between this and the work at Isomorphic Labs, we are inching closer to Hassabis’ vision of AI ending all disease.
TOGETHER WITH AWS MARKETPLACE
The Rundown: AWS is hosting an on-demand panel with enterprise leaders from Mercedes-Benz, Yahoo, Regeneron, and AWS on how to build the data foundations that make agentic AI work at production scale.
In the session, you’ll hear how to:
Build trusted data foundations with a pragmatic approach
Align AI systems to business decisions through unified governance
Create intelligent systems that compound business value over time
Streamline AI solution discovery and procurement with AWS Marketplace
OPENAI FOUNDATION
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The Rundown: OpenAI Foundation, the nonprofit arm that owns 26% of OpenAI’s for-profit business, committed an initial $250M to fund grants, partnerships, and direct work helping workers, communities, and economies navigate AI-driven disruption.
The details:
The funds will drive efforts to understand AI’s economic impact, support workers facing near-term disruption, and build long-term economic security.
On economic impact, the Foundation is eyeing systems that track how AI value flows — what people can actually do and access, and not just what they earn.
It will back retraining and job transition for workers, with efforts to ensure they get agency over AI use and work provides meaning, purpose, and satisfaction.
For long-term security, the Foundation is exploring tax shifts from labor to capital, sovereign wealth funds, and durable stakes for people in AI-made value.
Why it matters: OpenAI says it plans to announce the first initiatives later this year — but with layoffs already spreading across industries and worker anxiety running high, many argue the action is needed sooner rather than later to prepare the world for the age of AI.
AI TRAINING
The Rundown: In this guide, you will learn how to teach Codex or Claude your editing style by turning finished edits into reusable writing rules. The real move is the loop: draft, snapshot, edit, compare, and improve.
Step-by-step:
Create a project folder with emails/, rules/, and skills/. Inside emails/, add draft/ and final/ so the agent can tell what is active and what is approved
Prompt Codex/Claude Code: “Interview me about the editorial rules I use for marketing emails. Ask about audience, tone, subject lines, claims to avoid, CTA style, and examples I like. Turn my answers into rules/editorial-rules.md”
Have the agent now draft one email using the rules and save two copies: one working draft in emails/draft/ and one an identical snapshot that never changes
Tell it to turn the draft-and-snapshot process into a skill. Edit the draft into the approved final and ask the agent to compare and update the editorial rules
Pro tip: Set an automation that scans approved emails once a day, compares the draft with the final, updates the rules, and changes the status so drafts do not run twice.
PRESENTED BY TELY HEALTH
The Rundown: Patients have stopped Googling – they now ask AI who the best provider is and get booked with a competitor. Tely makes ChatGPT, Perplexity, Google, and Claude recommend your practice and book patients straight into your EHR.
With Tely Health, you get:
Answers every patient question and books appointments 24/7
Wins back patients who go quiet with automatic follow-ups
Retargets patients across Instagram, Google, TikTok & YouTube
Books patients straight into your EHR
TRAJECTORY
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The Rundown: Trajectory, a new startup founded by ex-DeepMind and Apple researchers, just launched with $15M to build the platform for continual learning — or AI that gets smarter from real-world experience rather than staying frozen after training.
The details:
Trajectory captures corrections, retries, and edits from users sitting in product data, and uses them to continuously post-train models that improve over time.
The team comes from DeepMind, OpenAI, Apple, Meta SuperIntelligence Lab, and Scale AI, with the $15M seed led by Conviction and Bessemer.
Early customers include Clay, Harvey, Decagon, and Rogo, with Trajectory saying its post-trained models outperform frontier AI on crucial narrow tasks.
Currently, the models are post-trained every week, but the startup claims to be working on that, targeting hourly updates or an update at every interaction.
Why it matters: A model that keeps learning from failures and fixes, combining its original output and feedback from users on an ongoing basis, is the holy grail of businesses. If Trajectory cracks it, companies will end up with AI-powered tools that compound in quality almost instantly after feedback, much like us humans.
QUICK HITS
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💻 Harvey - AI assistant for legal work, available on Android and via email
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*Sponsored Listing
OpenAI announced GPT-5.2 and GPT-5.3-Codex will be removed from Codex (but not the API) on June 2, with GPT-5.5 becoming the default model for free users.
Google debuted Coral Board, a low-power development platform powered by its Coral NPUs, for on-device AI applications like translation, hardware control, and generation.
Anthropic rolled out reliability upgrades for Claude Code, improving responsiveness, MCP stability, error message handling, session recovery, and long-context compaction.
Robinhood launched Agentic Trading and an Agentic Credit Card, letting users connect AI agents to execute stock trades, manage spending, and automate purchases.
YouTube announced automatic AI-generated content detection with more prominent labels for synthetic videos and shorts and broader access to deepfake-detection tools.
Cognition announced a $1B funding round at a $26B valuation, also claiming more than 10x growth since January, driven by its Devin AI software engineer.
COMMUNITY
Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.
Today’s workflow comes from reader Michel in Solana Beach, CA:
“One of the companies I run is a wine import/distribution firm. Our backend is pretty archaic but cheap, which in our industry is important. That said, salespeople have to call my business partner or me when they want to verify current inventory on specific SKUs. This slowed their workflows, interrupted our time, and put the brakes on sales relationships.
Using Claude, Cursor, and Claude Code, I built a web-based, platform-agnostic one-click inventory verification app that sits on a salesperson’s browser on their phone. Whenever I hit a roadblock, I would take a screenshot and share it with Claude, which walked me through the whole process. Now, with the push of a red button, salespeople can get instant up-to-date inventory levels of our SKUs.
This has given the team a renewed sense of control and autonomy, and sped up sales conversions.”
How do you use AI? Tell us here.
Read our last AI newsletter: Demis Hassabis on AGI, curing diseases
Read our last Tech newsletter: Ferrari’s first EV, designed by Jony Ive
Read our last Robotics newsletter: Waymo’s flood problem just got bigger
Today’s AI tool guide: Teach your AI to edit like you
RSVP to next workshop today @ 2PM EDT: Learn Claude Co-Work
That's it for today!
See you soon,
Rowan, Joey, Zach, Shubham, and Jennifer — the humans behind The Rundown
