The Daily Index — Tuesday, March 24, 2026 · TLDR Index

HEADLINES & LAUNCHES

TLDR AI

TLDR AI

CLAUDE CODE AND COWORK CAN NOW USE YOUR COMPUTER

Claude Code and Claude Cowork can now open files, use browsers, and run dev tools on users' computers. The agent will prioritize connectors to supported services, but it can still execute tasks when connectors aren't available. It will ask for permission before taking action. Claude computer use is initially available to Claude Pro and Claude Max subscribers on macOS.

engadget.com · 1 min

TLDR AI

OPENAI ROLLS OUT CHATGPT LIBRARY TO STORE YOUR PERSONAL FILES

ChatGPT's new Library feature allows users to store personal files or images on OpenAI's cloud storage. Available to Plus, Pro, and Business subscribers, the feature is rolling out to customers across the world except in the European Economic Area, Switzerland, and the United Kingdom. ChatGPT will automatically save uploaded or created files. Deleting a chat containing a file will not delete the file saved in Library.

links.tldrnewsletter.com · 2 min

TLDR AI

DESIGNING AI CHIP HARDWARE AND SOFTWARE (BOOK)

The future of AI accelerators will be AI CPUs - traditional CPUs with big caches and systolic arrays, where the caches and systolic arrays take up most of the chip area and power. This book goes over what is required to design a competitive AI chip. The recommendations made in the book will require an excellent software team to realize, but the topics covered should be easily understandable at a hobbyist level.

docs.google.com

TLDR AI

A RAMSEY-STYLE PROBLEM ON HYPERGRAPHS

This post details a problem that would take an expert human about one to three months to solve. The problem was eventually solved by two people using GPT-5.4 Pro. A link to the full transcript of the conversation with GPT-5.4 Pro is available. Other models that have solved the problem include GPT 5.4 (xhigh), Gemini 3.1 Pro, and Claude Opus 4.6 (max).

epoch.ai · 6 min

TLDR AI

VIBE PHYSICS: THE AI GRAD STUDENT

A professor of physics supervised Claude through a real research calculation from start to finish without ever touching a file to see whether AI could do theoretical physics. This resulted in a technically rigorous, impactful, high-energy theoretical physics paper in two weeks instead of the usual year. While Claude was impressively capable, domain expertise was essential for evaluating its accuracy. AI is still not able to do end-to-end science, but the project proved that it can do frontier science with guidance.

anthropic.com · 32 min

TLDR AI

RESEARCH NOTE: WE SPENT 2 HOURS WORKING IN THE FUTURE

The rate of model releases and the number of new evals required next year could be such that keeping informed will be a challenge without effective AI assistance. These AI-augmented workflows need to be understood now before they become necessary. METR ran a tabletop exercise to learn what workflows emerged, what the bottlenecks are, and how much faster researchers will actually be. This post details the lessons learned from the exercise.

metr.org · 15 min

TLDR AI

See it in action and request a demo

Summary unavailable

blackduck.com

TLDR AI

FAST REGEX SEARCH: INDEXING TEXT FOR AGENT TOOLS

Providing text search indexes to fast models creates a qualitative difference for Agentic workflows. The impact is more pronounced in larger Enterprise repositories because grep latency scales with the size and complexity of the code being worked on. Removing the time spent searching the code base provides meaningful time savings and allows for much more effective iteration, particularly when the Agent is investigating a bug.

cursor.com · 28 min

TLDR AI

FAST DOMAIN-SPECIFIC EMBEDDING TUNING

NVIDIA released a pipeline for quickly fine-tuning embedding models using synthetic data, improving retrieval performance for domain-specific RAG systems.

huggingface.co · 17 min