Science & Futuristic Technology
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OpenAI starts offering a biology-tuned LLM (2 minute read)
GPT-Rosalind is a large language model developed by OpenAI specifically trained on common biology workflows. It is able to access major public databases of biological information. The model can suggest likely biological pathways and potential drug targets. It has been tuned to be more skeptical so it can tell users when something is a bad drug target. Access to the model is limited to selected US-based entities via OpenAI's trusted access deployment structure.
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Physical Intelligence, a hot robotics startup, says its new robot brain can figure out tasks it was never taught (7 minute read)
Physical Intelligence, a San Francisco-based robotics startup, has published new research showing that its latest model can direct robots to perform tasks they were never explicitly trained on. The new model, called Ο0.7, is an early but meaningful step towards a general-purpose robot brain. The model still can't execute complex multi-step tasks autonomously from a single high-level command, but it can be verbally coached to perform new tasks without additional data collection or model retraining. It is still in a research phase and not yet ready to be deployed as a product.
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Programming, Design & Data Science
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Hyperframes (GitHub Repo)
Hyperframes is an open-source video rendering framework that can create, preview, and render HTML-based video compositions. It has first-class support for AI agents. The CLI is designed for agent-driven workflows and is non-interactive by default. Videos can be rendered to MP4 locally or in Docker.
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Updates and announcements (Website)
Cloudflare just dropped a series of announcements for Agents Week 2026. Cloudflare is building a unified inference layer for agents that will let developers call models from over 14 providers. Cloudflare's Email Service, which allows users to send, receive, and process email natively with agents, is now in public beta. Artifacts is a Git-compatible versioned storage built for agents.
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Probabilistic engineering and the 24-7 employee (25 minute read)
The industry is rapidly moving from deterministic engineering to probabilistic engineering. Deterministic engineering involves writing code, testing it, reviewing it, and knowing what it does. Probabilistic engineering is where large portions of the codebase are generated by stochastic systems, reviewed under time pressure against contexts too large to fully hold, and integrated into a whole that no single human ever designed end-to-end. While generation has become cheap, validation has not. Past a certain throughput, bugs slip through because the output volume has exceeded what human attention can meaningfully inspect, and the models doing reviews miss plenty.
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The Clip Economy (11 minute read)
Clips - snippets of long-form content - have taken over the entire media ecosystem. TBPN, a podcast recently purchased by OpenAI for $200 million, only draws in around 7,000 views per episode. However, the average TBPN clip receives around 257,000 views. TBPN bakes ads directly into its clips, which helped it generate $5 million in revenue last year. Clips are now the main product for a lot of media, rather than a byproduct.
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