1. TLDR: If you can't read through this whole post this tool isn't for you. Hi all, I wanna show off and ask for feedback on my project linXiv, this started as auto-tagging knowledge graph mini-project, is now a "full-stack" research tool for…

  2. A longstanding goal of research on interpretable deep learning is to replace opaque neural computations with human-meaningful symbolic descriptions. In this paper, we propose an approach for approximating the behavior of components of deep…

  3. Cruit — the AI-native talent layer that lives in your coding agent.

  4. Health is one of the most meaningful ways people use ChatGPT. Every week, more than 230 million people turn to ChatGPT for help with health and wellness questions: making sense of health information, understanding lab results, preparing fo…

  5. model roundup

    Opus 4.6
    25 items

    On April 25, 2026, a Cursor agent running Claude Opus 4.6 accidentally deleted PocketOS's production database within nine seconds due to a credential mismatch during a routine task. Meanwhile, OpenHack released an open-source security scanner competing with proprietary models like Claude Code Security.

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    Cowork
    396 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.

  6. Multi Agent Continuous Context Harness - MACCHA solves the problem that every AI coding session starts from zero. It combines a file-based 7-tier context architecture with a working memory engine (Memanto) that features vector embeddings,…

  7. Coding agents have become a major mode of software engineering, but the benchmarks we use to compare them were designed in a pre-agent era: they collapse model, harness, and environment into a single end-to-end score, typically computed ag…

  8. MosaicLeaks: Can your research agent keep a secret? TL;DR Deep research agents increasingly combine private local documents with external tools like web retrieval, creating a privacy risk: an agent's external queries may leak sensitive inf…

  9. I ask claude to do like some calculations from day to day life and sometimes give context. Very often I find it very judgy in a weird way.

  10. 431 items

    Anthropic's new update, Claude Mythos, has garnered attention from top AI security researchers like Carlini, who found numerous bugs. The update is noted for its speed and effectiveness, with Anthropic identifying a significant security flaw in FFmpeg and quickly submitting patches.

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    Security
    386 items

    OpenAI has released GPT-5.4-Cyber for testing as part of its Trusted Access for Cyber Defense program, aiming to compete with Anthropic's Claude Mythos in the cybersecurity domain. Meanwhile, concerns are rising over the potential risks associated with advanced AI models like Mythos, prompting calls for improved defenses before wider releases.

  11. The Agentic Browsing category evaluates how well your site is constructed for machine interaction through a set of deterministic audits. How the category is scored Unlike other Lighthouse categories, the Agentic Browsing category does not…

  12. Large Language Models (LLMs) achieve strong performance on reasoning tasks, but whether this reflects faithful logical inference or heuristic approximation remains unclear. We study this question in legal entailment by comparing three para…

  13. model roundup

    Opus 4.8
    187 items

    Claude AI has released Opus 4.8, an upgrade to their Opus class of models available in version 2.1.154 of their software on March 16, 2023, which includes enhanced coding and professional task capabilities along with improved judgment and honesty. Users are reporting usage resets following the update.

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    Glm
    157 items

    Recent developments in the AI space highlight significant advancements from Chinese companies, particularly Zai's upgrade of GLM-5.1, which has shown substantial improvements. Meanwhile, there are concerns about a widespread intelligence drop across various models and discussions around the potential openness of leading AI projects like GLM 5.1.

  14. From the Hugging Face Hub to robot hardware with Strands Agents and LeRobot You have a robot, a folder of demonstration data on the Hugging Face Hub, and a new task you want it to learn. Today that takes five separate tools: one to record…

  15. Import AI 461: "Alignment is not on track"; FrontierCode; and synthetic research interns Where are your agents right now? Welcome to Import AI, a newsletter about AI research.

  16. ██████╗ ██╗ ██╗ ███████╗ █████╗ ██████╗ ██╔══██╗╚██╗██╔╝ ██╔════╝██╔══██╗██╔═████╗ ██████╔╝ ╚███╔╝ ███████╗╚█████╔╝██║██╔██║ ██╔══██╗ ██╔██╗ ╚════██║██╔══██╗████╔╝██║ ██║ ██║██╔╝ ██╗ ███████║╚█████╔╝╚██████╔╝ ╚═╝ ╚═╝╚═╝ ╚═╝ ╚══════╝ ╚════╝…

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    Fine Tuning
    104 items

    Fine-tuning is a hot topic in the AI community, with various projects and releases focusing on it. Notable examples include OpenAI's decision to wind down its fine-tuning API, Anthropic co-founder Jack Clark's prediction that AI research could become automated by 2028, and several new datasets and models released for fine-tuning purposes.

  18. When large language models (LLMs) fail to generalize or make haphazard errors in reasoning, it is often taken as evidence that LLMs are not truly reasoning, but rather performing a kind of pattern matching. The implication is that people's…

  19. 15th June 2026 - New tool, execute_write_sql , which requests user approval and then writes to a database - taking user permissions into account. #27 I added a mechanism for asking user approval in datasette agent 0.2a0.

  20. Do you use Claude Code, Codex, or a different vibe coding/agentic engineering tool for most of your work? Why?

  21. Agent systems are advancing quickly across domains, but their evaluation remains fragmented. Most benchmarks rely on fixed, LLM-centric harnesses that require heavy integration, create test-production mismatch, and limit fair comparison ac…

  22. Is it agentic enough? Benchmarking open models on your own tooling Benchmarking transformers revisions across different metrics This is a human-made, agent-focused blogpost.