- Genie 4 brings sound and interactivity to AI worlds
- Anthropic starts developing its own drugs
- Make editable product mockups with GPT-6.1 Terra
- Axiom’s AI swarm checks math’s longest proof
Genie 4 brings sound and interactivity to AI worldsImage Source: Google DeepMindThe Rundown: Google DeepMind just introduced Genie 4, its next-gen world model that turns prompts into explorable, photorealistic scenes in real time, with features like built-in, natively generated audio and lifelike people that users can actually interact with.The details:- Genie 4 is the first Genie model to generate its own sound, like background noise and music, with characters in the worlds also now able to hold live conversations.
- Users move with keyboard controls and can use text prompts to create changes mid-scene, with the scene staying coherent between inputs.
- A simulated Apptronik Apollo robot played checkers in one demo, with Gemini 4 Argon planning each move in a nod to Genie’s future robot-training applications.
- The model debuts in research preview for trusted testers, with Google’s AI Ultra subscribers and Gemini API partners getting access next.
The semantic layer for AI
The Rundown: Cube is the semantic layer for AI. Every agent gets the same governed answer from your metric definitions and access rules. Ask the hardest questions, get real answers.With Cube, you can:- Connect Snowflake, Databricks, or BigQuery
- Let AI build and maintain your data model
- See how Brex reached nearly 90% answer relevance
Anthropic starts developing its own drugs
Image source: AnthropicThe Rundown: Anthropic shared early results with its drug-development partners and revealed it’s now running its own drug discovery programs, including buying Mithril Medicine, a solo-founder biotech whose Claude-assisted muscular dystrophy candidate could reach human trials as early as late 2028.The details: - The candidate showed promise in mice within 18 months, with Claude helping solo founder Cody Tranbarger juggle contracts and tests at 11 outside labs.
- Tranbarger also turned out to be “Professor Oak,” a biotech account run pseudonymously on X for six years, and calls the setup a “Pipeline-in-a-Person.”
- At Enveda, Claude wrote a first draft of a key regulatory filing in 4 hours vs. ~3 months by hand, and also flagged seven batch-record issues humans missed.
- In another case, three of roughly 35K antibodies Claude designed for Divergence Labs appeared to beat today’s main drug at unhooking allergy triggers from cells.
- This week’s IPO filing pitched a global pharma market expected to top $2T this year, but Anthropic warned its own drug bets “may never generate revenue.”
Make editable product mockups with GPT-6.1 Terra
The Rundown: In this guide, you’ll use the new GPT-6.1 Terra to build a product mockup in Blender. You’ll create two color options and a wide campaign image, then save the scene so you can handle client changes without starting over.Step-by-step:- Save an empty Blender project and connect Terra through ChatGPT Work’s Computer Use plugin. Keep its access limited to your practice project
- Give Terra the guide’s carton dimensions and colors. Check the size, then add the product name and label as editable text
- Add a camera and studio lights, then render a small preview. Check that the lettering is readable, the edges look right, and the carton sits on the ground
- Copy the scene to make a second color option. Create a wide version with the product on the right and space for a headline on the left
- Export all three images and reopen the saved Blender file. Check the image sizes and confirm you can still change the text and product colors
Consultants take months. Scribe takes days.
The Rundown: Most orgs map workflows the slow way: outside teams, interviews, and months of workshops. Scribe Optimize maps how work happens across your org automatically.With Scribe Optimize, you can:- Map real workflows — no surveys or consultants
- Surface inefficiencies leadership can’t currently see
- Build your AI strategy on ground truth, not gut feel
Axiom’s AI swarm checks math’s longest proof
Image source: AxiomThe Rundown: AI math startup Axiom completed a fully machine-checked version of math’s longest-ever proof, called the ‘Classification of Finite Simple Groups’, with its team steering an AI agent swarm that rebuilt the decades-long effort in 24 days.The details: - The theorem catalogs what Axiom calls the “periodic table of symmetry,” a full list of the basic pieces that every symmetry pattern in math breaks down into.
- 100+ mathematicians spread the original across roughly 15K pages and 500+ papers, and Axiom says no single expert has read it cover to cover.
- Axiom broke the work into 108 milestones, then dozens of agents produced ~43M lines of Lean, the coding language that lets a computer verify each logical step.
- The theorem stands, but AI caught a false claim in one key step, then patched it with a new proof based on 1976 work by mathematician Ronald Solomon.
Trending AI Tools
LFM3 - Liquid AI’s new family of small, on-device multimodal models
MAI-Image-2.7 - Microsoft’s upgraded image AI, launching first for editing
Parallel Decisions API - Decision AI that classifies with live web data
GPT-6.1 Terra - OpenAI’s cheaper, faster model for everyday computer work
Everything else in AI todayAnthropic published a paper saying an internal Claude model also disproved the Exponential Time Hypothesis, coming the same day as OpenAI’s own result. U.S. President Donald Trump posted that he will be “BANNING the term, ‘AI/Artificial Intelligence,’ in all relevant documents” in another push towards Super Intelligence.AI-for-physics lab Physical Superintelligence released five new papers, each paired with a computer-checked proof, claiming to make progress on long-unsolved quantum physics problems with help from its in-house AI.Meta lined up $4B for its $95B AI fundraise from chip suppliers Nvidia ($3B) and AMD ($1B), with both companies also expanding the hardware they run in Meta’s data centers.Google inked a deal to put its TPU chips inside Oracle’s cloud from 2027, the first time a rival cloud giant will offer the in-house Nvidia alternative to customers.
Highlights: News, Guides & Events- Read our last AI newsletter: The AI bubble meets Anthropic’s real numbers
- Read our last Tech newsletter: Apple’s big week begins with iPad mini
- Read our last Robotics newsletter: When 110 humanoids hit the dance floor
- Today’s AI tool guide: Make editable product mockups with GPT-6.1 Terra
- RSVP to workshop today @2 PM EDT: Get consultant-grade deep research
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