Claude apps 🤖, Gemini CLI 👨‍💻, DeepMind tackles Navier Stokes 🌊

Anthropic has added a new feature to its Claude AI chatbot that lets users build AI-powered apps right inside the app. It builds on Artifacts ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ 

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Spanish mathematician Javier Gómez Serrano and Google DeepMind team up to solve the Navier-Stokes million-dollar problem (6 minute read) The Navier-Stokes equations are one of the seven Millennium Prize Problems - the US-based Clay Mathematics Institute has offered $1 million for the solution. Google DeepMind and mathematician Javier Gómez Serrano claim the problem will be solved soon with the help of AI. The challenge dates back to the 19th century. Several great mathematical minds have devoted the best years of their academic lives to solving the problem only to find themselves stuck in a dead end. 🚀 Science & Futuristic Technology SpaceX launches 4 people into orbit on Axiom Space Ax-4 mission (4 minute read) SpaceX launched a private space crew of four people on a SpaceX Falcon 9 rocket on Wednesday. The mission was brokered by commercial space company Axiom Space. The Ax-4 mission will catch up with and dock to the International Space Station in a SpaceX Dragon capsule on Thursday morning. The crew will be conducting research that spans biology, material, and physical sciences, as well as technology demonstrations during their 14-day stay. They will engage with students around the world to share their experiences. The Dragon capsule will remain docked at the station during the mission. AlphaGenome: AI for better understanding the genome (15 minute read) AlphaGenome is a new unifying DNA sequence model that advances regulatory variant-effect prediction and promises to shed new light on genome function. It is now available via API for non-commercial research. The tool can predict how single variants or mutations in human DNA sequences impact a wide range of biological processes regulating genes. It can help scientists better understand genome function and disease biology and drive new biological discoveries and the development of new treatments. 💻 Programming, Design & Data Science A better solution to Jira bulk editing (Sponsor) Jira's native bulk editing is… not great. It doesn't take long to run into unavailable operations, inconsistent system fields, and complex field configurations. Appfire's JXL for Jira is a powerful, spreadsheet-like solution easy to update selected issues, bulk transition issues, and stop watching multiple issues. Read the blog Containers are available in public beta for simple, global, and programmable compute (6 minute read) Cloudflare Containers are now available in beta for all users on paid plans. The feature enables developers to run new kinds of applications alongside Workers, opening up a world of possibilities. Containers are tightly integrated with Workers and the rest of the developer platform. This article provides a tour of Containers for developers to get started. Gemini CLI (GitHub Repo) Gemini CLI is a command-line AI workflow tool that connects users to tools. It understands code and was designed to accelerate workflows. Gemini CLI can query and edit large code bases, generate new apps from PDFs or sketches, automate operational tasks, use tools and MCP servers to connect new capabilities, and more. 🎁 Miscellaneous Begun, the AI Browser Wars Have (13 minute read) The Browser Company's new Dia browser shows an obvious glimpse of what's to come in the world of web browsers. It is a lot simpler than Arc, but the AI trade-offs make it worth the switch. Established players like Chrome have billions of users, making it difficult for them to fundamentally change their browsers overnight. With Dia, The Browser Company has a clean slate to do as it wishes - and it appears to be a good product right now. Rack-scale networks are the new hotness for massive AI training and inference workloads (13 minute read) Rack-scale architectures use interconnect technologies to offer several orders of magnitude higher bandwidth per accelerator. The bandwidth means that GPU compute and memory can be pooled, even when physically distributed across multiple distinct servers. The transition to rack-scale architectures is being driven by the demands of model builders. They are primarily aimed at hyperscale cloud providers, neo-cloud operators, and large enterprises that need to keep their AI workloads on-prem. ⚡ Quick Links Craving more AI in your inbox? (Sponsor) TLDR AI is your daily fix of LLMs, GenAI, and deep learning goodness. Same TLDR format. Still free. Subscribe now. Murati's Startup Bets on 'RL for Business' After Raising $2 Bn (3 minute read) Mira Murati's AI startup, Thinking Machines Lab, will focus on creating custom AI solutions designed to help businesses increase revenue. Monarch (GitHub Repo) Monarch is a distributed execution engine for PyTorch that aims to deliver a high-quality user experience at cluster scale. Aaron Sorkin's The Social Network sequel officially in development (2 minute read) Aaron Sorkin is working on a sequel to The Social Network that will be based on the Wall Street Journal series, The Facebook Files, which covers subjects like the company's influence on the January 6 riot and the mental health of teenage users. PNG is back! (3 minute read) A new PNG spec was just released - it includes proper HDR support, animated PNGs, and official support for Exif data. AI coding agents are already commoditized (3 minute read) AI coding agents have no secret sauce. iroh (GitHub Repo) iroh is a library for building on direct connections between devices that puts more control in the hands of users. Love TLDR? Tell your friends and get rewards! 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