1. Anthropic leases London office space to grow UK team from 200 to 800 employees, according to Wired ■ Expansion coincides with escalating tensions between the AI company and US government regulators ■ Move positions London as key internatio…

  2. The Agent Readiness score can help site owners understand how well their websites support AI agents. Here we explore new standards, share Radar data, and detail how we made Cloudflare’s docs the most agent-friendly on the web.

  3. Hey guys! I saw all the upheaval of late with the introduction of Adaptive Thinking where Claude doesn't think bother to think anymore.

  4. Distill A Claude Code MCP server that turns saved articles into AI-generated podcasts, tailored to your interests. Save articles throughout the day.

  5. WorldSeed Your first AI world. Give AI a world.

  6. If you are building real agents you have probably felt the pain: every little routing decision, validation, or policy check still hits the LLM and your token bill explodes. I got tired of it, so I open-sourced NCP (Neural Computation Proto…

  7. I asked if there was any board on which you hold the absolute best hand (or “nuts” in poker) with a 2 and a 3 of different suits (23o for short). I find claude often does these predictive text downward spirals.

  8. Life as a Claude Proxy On Software Engineering in 2026 I open my laptop, yearning to get important work done today. I fire up a new Claude session and eagerly ask it about my work today.

  9. thread

    Qwen 2.5.0
    3 items

    A user is training a Qwen2.5-0.5B-Instruct model on Reddit post summarization tasks using GRPO and PyTorch on three Mac Minis. The model includes quality rewards and length penalties, with evaluations conducted to assess summarization quality.

    thread

    Qwen 3.6
    41 items

    Qwen3.6-35B-A3B, a 35 billion parameter sparse MoE model with an active parameter count of 3 billion, was released on April 16, 2026, as open-source software under the Apache 2.0 license by Alibaba Qwen. It offers advanced functionality across various AI applications and outperformed competitors in drawing tests.

  10. Been using Cursor heavily for the past few months to ship side projects faster. Biggest frustration was always the first 30 minutes of a new project — correcting the AI on folder structure, reminding it to use async, getting it to stop har…

  11. Constraint-Driven Embedded ML Mar 27, 2026 Senior Software Engineer In embedded development, the gap between a machine learning idea and a deployable device is still wider than it should be. You train a model on a laptop.

  12. LeCun just raised $1B betting the transformer is a dead end. Here's the architectural bug he's targeting.

  13. I am looking for some perspective from others on this topic. What is your experience actually deploying AI agents?

  14. been switching between ChatGPT, Claude, Gemini and Perplexity across different tabs — new projects, research, discussions, everything had to be done manually and context was always getting lost. so i built Proxima a local server that conne…

  15. Agentic AI introduces a machine-speed data exposure surface that traditional human-centric security controls cannot govern.

  16. redas-protocol An open specification and reference implementation for deterministic, verifiable commitments — built for AI agents, humans, and the systems that coordinate them. A commitment is one party committing to do something for anoth…

  17. thread

    Opus 4.7
    120 items

    Claude Opus 4.7, released on April 16, 2026, is Anthropic's latest advanced AI model, offering improved handling of complex tasks and a larger context window of up to 1 million tokens. This version is 50% more expensive than its predecessor due to enhanced capabilities in software engineering and hybrid reasoning.

    thread

    GPT 4
    4 items

    Recent updates to ChatGPT have led to user frustration, particularly regarding the removal of study mode and perceived deterioration since its launch. Meanwhile, developers are creating tools to automate prompt optimization for various AI language models, aiming to improve efficiency in working with AI.

  18. Our team at Signal is building real world JTBD evals. With over 100 businesses across the US and 600 real workflows collected.

  19. Is this Group full of Qwen bot hype? it seems to me no matter what it's always Qwen this and that.

  20. Hello. I am a complete beginner in this field and not a native English speaker, so please excuse any mistakes.

  21. Hi all I'm a big user of Claude web UI for my projects I just built a dual Tesla v100 16gb local host and I'm doing some tinkering with it using open web UI and it's nice but it doesn't give the files in a easy downloadable way like Claude…

  22. Inference caching reduces latency and cost by storing and reusing computation from previous LLM requests instead of recomputing everything each time. It operates across three complementary layers: KV caching within a request, prefix cachin…

  23. Are you able to switch models in Claude Code during the middle of a session somehow? If so, please let me know.

  24. Hey everyone, I built something called AriaOS and just open-sourced it. I built it with Claude Code as my main engineering partner.

  25. Running LLMs across Cloudflare’s network requires us to be smarter and more efficient about GPU memory bandwidth. That’s why we developed Unweight, a lossless inference-time compression system that achieves up to a 22% model footprint redu…