AI it's reshaping entire org charts. Six months into 2025, over 50,000 tech workers have been laid off.. Microsoft. Meta. Google. IBM. Chegg. PwC. All cutting teams—not to save money, but to rewire the machine. ▪️ 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 let go of 6,000+ employees, including a

Today, we're announcing four new capabilities on the Anthropic API to help developers build more powerful AI agents. A code execution tool, MCP connector, Files API, and extended prompt caching:

Finally !!!!

Super excited!!!

This is 🔥—can’t wait to start building something cool with it!

Agentic Document Extraction just got much faster! From previous 135sec median processing time down to 8sec. Extracts not just text but diagrams, charts, and form fields from PDFs to give LLM-ready output. Please see the video for details and some application ideas.

Note to self - don’t just embed raw text, embed references.

Note to self - when doing RAG, there are a few key principles to keep in mind on Indexing: 1. Raw text can confuse the embedding models 2. Don’t just embed the raw text embed references 3. Having multiple embeddings point to the same chunk is a good practice.

wish this came out sooner — could’ve saved me from a thousand late nights battling pptx. 😂💀 #AI #LLM #SlideLife

🔥 YC breaks down how top AI startups prompt LLMs: 6+ page prompts, XML tags, meta-prompts, evals as core IP. Meta-prompting + role assignment are key for reliable, agent-like behaviors. ⚙️ Key Learning → Top AI startups use "manager-style" hyper-specific prompts—6+ pages

Introducing Manus video generation. Manus transforms your prompts into complete stories—structured, sequenced, and ready to watch. With a single prompt, Manus plans each scene, crafts the visuals, and animates your vision. From storyboard creation to concept visualization—your

One of our latest LlamaIndex integrations is everything MCP, enhancing agent capabilities and workflow deployment. 🚀 This integration brings two key features: ➡️ Helper functions for LlamaIndex agents to use MCP server tools ➡️ Ability to serve any LlamaIndex workflow as an MCP

"we haven't given that power to developers in 25 years" — Sundar Pichai x.com/amasad/status/…

Everyone should learn how to code—or at least how to orchestrate and manage AI agents—so we can all take part in building with AI, not just the engineers.

loving GitHub Copilot on GitHub

Big updates: Cursor 1.0 is finally shipped. • PRs reviewed by BugBot • Async tasks via remote agent • Agents in Jupyter notebooks (finally) • Memory of past context (per project) • One-click setup for MCP + OAuth • Full visibility through a redesigned dashboard

Cool

This will be so cool.

Oh .. no wonder why i souned a bit different when i talked to it today 😅

Latest Cursor v1.1.0 now has "To Do List" - This allows agent to use To Do Lists to track progress on tasks