Hallucinated AI & agentic coding news. Some of it is real.

  1. So I've been going down a rabbit hole lately and I can't find many people actually talking about this specific use case. everyone here runs local LLMs for coding, chat, maybe some creative writing.

  2. PostgreSQL wire / ORM-compatible / SQL + graph + vector AionDB PostgreSQL tooling for applications that need relational records, graph relationships, and vector search in one Rust engine. MATCH (u:User {tenant_id: 100})-[:WROTE]->(d:Docume…

  3. When I joined the Codex engineering team in September 2025, Codex for Windows didn’t have a sandbox implementation meaning that Windows users were forced to choose between two subpar options when using OpenAI's coding agents: Approving nea…

  4. Summary - Paid Claude plans get a dedicated monthly programmatic credit for Agent SDK, claude -p, Claude Code GitHub Actions. - Subscription interactive credits no longer cover programmatic use; programmatic calls draw from the new pool.

  5. Best Text-To-Speech Model in 2026: Blind Benchmark In 2026, the text-to-speech (TTS) market is saturated. Every provider is offering a new groundbreaking model trained on a zillion hours of natural human speech in 200 different languages.

  6. I've built an AI dictation tool (like many others), but this time I have taken the time to benchmark all of the 34 models that we provide, so users can actually make a qualified choice on what model should be the daily driver. The best is…

  7. Economic Futures The Anthropic Economic Futures program aims to support research and policy development for addressing the economic impacts of AI. It provides research grants, forums for policy discussion, and evidence on real-world AI use.

  8. Every time I hit an unfamiliar LLM term while building, I'd look it up and get either a textbook definition or a paper. Useful for understanding what something is, not useful for knowing what to do with it.

  9. model roundup

    Opus 4.7
    356 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.

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    Cowork
    235 items

    Issues with Claude Cowork have been reported, including errors and disruptions for some users on April 16, 2026. Additionally, Google has developed its own desktop Agent to compete with Cowork, while users continue to explore alternatives and troubleshoot bugs in the platform.

  10. Hi everyone! We're building a multiagent social app.

  11. - RESEARCH BRIEFINGS State media control shapes LLM behaviour by influencing training data Access options Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription $32.99 / 30 days cancel a…

  12. Hi there! I'm new to all this, I'm having some trouble accessing the 1-million context models on claude (the VS-code extension) ?

  13. Chinese text on claude.ai is displayed using Japanese fonts, causing characters like 门, 兴, 认 to show incorrect glyph variants (Japanese shinjitai instead of simplified Chinese). Root cause: The CSS variable --font-anthropic-serif puts Japa…

  14. Our approvals live in Slack threads and people forget to respond. Procurement, hiring, and content all need sign-off, but tracking is manual.

  15. AGEF (Agent Governance Evidence Format) AGEF is an open specification for portable, tamper-evident AI-agent session evidence. It defines how a session can be represented as content-addressed objects plus merkle-linked events so evidence ca…

  16. Recently I came across a post where people were sharing things they built with Claude, and honestly some of them were really cool. Small productivity apps, HTML tools, automations, work helpers, stuff like that.

  17. I'm working on a project with another person who suggests we should use claude for literally everything. Don't get me wrong - I see a ton of value but at the same time, why not use python and scripts that can do the same thing without burn…

  18. model roundup

    Qwen 3.6
    423 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.

    model roundup

    Gemma 4
    180 items

    Gemma 4 is a family of open-source multimodal models from Google DeepMind, available in sizes up to 31 billion parameters and featuring dense and MoE architectures. Notable community highlights include the 31B model's success in production tests, with some users preferring 4-bit precision for local use, and others sharing settings for optimizing performance with smaller models.

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  20. Conventional transformer inference engines are request-driven, paying an O(n) prefill cost on every query. In streaming workloads, where data arrives continuously and queries probe an ever-growing context, this cost is prohibitive.

  21. An AI agent that adapts itself to you. Tell it to change its UI, add tools, or behave differently — it edits its own code and reruns.

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  23. What’s currently missing in AI agent frameworks? Examples: * better memory systems * workflow debugging * human-in-loop controls * distributed execution * lower latency orchestration Interested in hearing what developers actually need.

  24. Hey everyone! Recently, I released a blog on how to setup a cluster out of your Mac Minis for distributed training and inference Now its time to do the same with Raspberry Pis!

  25. Homemade and minimalist agent composer The concept of orchestrating agents is gradually spreading among developers. Claude has planned, or you may already be able to use (depending on when you're reading this), the ability to launch severa…

  26. Claude and I made 2,000 API calls to nine small closed-weight models across three providers in a range of prompt sizes between 100 and 1M tokens. We ended up discovering some interesting things about how providers scale inference, or fail…

  27. Recently I had a university Database project to create a HR database and to connect it to a website and i had ZERO experience on how to do this so I went to Claude, it built the whole database and then it helped me do all the backend and t…

  28. The Holistic Cloud OS for AI Swarms. Unify secure WebAssembly execution, Governed Graph Memory, and dynamic tool discovery.