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Feature
Buzz: A Unified Platform for Team Chat, AI Agents, and Git Hosting
Jack Dorsey's Buzz blends communication, AI integration, and code management, but faces skepticism over complexity and security.
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Each morning: models, tools, research, and conversations distilled from across the web — with why they matter for builders.
Around the Web
AI Menu Makeovers
AI in the Neighborhood
Read this today, meta employees suing over AI picking them for layoffs, judge basically said they can't prove it since they "weren't in the room" when it happened. It feels like the real problem with AI firing you isn't…
r/artificial
Agent Skills Unleashed
Fresh Show HN launch.
github
Fresh Show HN launch.
anakin
Fresh Show HN launch.
langwatch
AI's Real-World Lessons
When the hype around autonomous multi-agent swarms started, I built a complex assistant to plan, execute and self-correct workflows end to end. Within weeks of live deployment, it became an unmaintainable token pit that…
r/artificial
I spent more than 2,000 hours across seven months building a live platform with AI as my only technical partner. I had no software development background going in. Throughout the build, I repeatedly encountered the same…
r/artificial
In your opinion, how useful is AI for students when it comes to research and completing assignments in high schools and colleges?
r/artificial
Honorable mentions
Top Hacker News discussion.
openai
Top Hacker News discussion.
runtimewire
Hey guys, havent seen much of crypto-related stuff posted here, but since AI agents are now apparently a new attack vector for stealing crypto, figured this sub would actually care about the mechanism So, grok has an ag…
r/artificial
Google released Gemini 3.6 Flash and independent testing found exactly zero intelligence improvement over 3.5 Flash. It is basically 3.5 Flash after an inference-cost consultant optimized the serving stack. Two independ…
r/OpenAI
This is a surprisingly large real-world deployment: "GovGPT" is part of Austria’s Public AI initiative, running on sovereign infrastructure (in their BRZ - federal datacenter) with Mistral open-weight models. Trending T…
r/LocalLLaMA
Tools
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
github | stars 194,854
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
github | stars 87,747
🎨 The open-source Claude Design alternative. 🖥️ Local-first desktop app. 🖼️ Your coding agent becomes the design engine: prototypes, landing pages, dashboards, slides, images &…
github | stars 80,665
Trending AI model on Hugging Face — image-text-to-text.
🤗huggingface
World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant int…
github | stars 41,126
Trending AI model on Hugging Face — image-text-to-text.
🤗huggingface
DeepSeek-native AI coding agent for your terminal. Engineered around prefix-cache stability — leave it running.
github | stars 27,553
Research
This paper is a practitioner guide to graph-based workflow pathways for long-running, stateful, multi-step generative AI systems in business processes. Rather than treating LangGraph, a low-level orchestration framework…
arxiv
Evaluating the factuality of long-form generations has focused predominantly on precision, measuring whether the claims a model makes are correct. The dominant decompose-search-verify pipeline catches incorrect claims w…
arxiv
We study a five-agent CI/CD pipeline (triage -> developer -> security-scan -> review -> approve/deploy), built from five distinct production LLMs across three providers, behind an LLM firewall in shadow mode…
arxiv
As pathogen genomic surveillance scales, the bottleneck is shifting from data generation to analysis. We present BioSecBench-Surveillance, a verifiable benchmark of 100 evaluations testing whether AI agents can infer th…
arxiv
GraphRAG improves long-document question answering by introducing structured representations beyond conventional retrieval. However, automatically constructed graphs are inherently incomplete projections of source docum…
arxiv
This study introduces a reinforcement learning (RL) framework for generating optimal liquid-fueled reactors to improve lean blowout (LBO) predictions in gas turbine combustors. Existing approaches for determining cluste…
arxiv
Agentic systems large language model (LLM) based architectures capable of reasoning, planning, acting, and coordinating with tools and other agents are rapidly transitioning from research prototypes to production scale…
arxiv
Long audio-video reasoning is difficult for omnimodal LLMs because the decisive evidence is often sparse, cross-modal, and too expensive to preserve with uniformly high-fidelity inputs. We introduce OmniReasoner, a tool…
arxiv
As AI agents begin to automate AI R&D, we need ways to assess whether their outputs are safe to deploy, even when the agents themselves may be untrusted. AI control offers one such approach: rather than trusting the…
arxiv
As LLM adoption becomes more widespread, there is a growing interest in detecting LLM-generated content, for example through LLM detection tools and through heuristics based on language patterns. Detectors operate as an…
arxiv
Playbooks
Your agents can now be built on a stable, batteries-included harness – the loop, planning, memory, context management, approvals, and telemetry that turn a model into an agent that actually does things – in both Python…
devblogs.microsoft
Graph engineering isn't a new idea. It's the latest name for a well established approach to building reliable agents. It's the same idea behind loop engineering and harness engineering: building putting model reasoning…
langchain
Most AI teams focus on the wrong things. Here’s a common scene from my consulting work: AI TEAM Here’s our agent architecture – we’ve got RAG here, a router there, and we’re using this new framework for… ME [Holding up…
hamel
The capabilities that make agents useful also make them difficult to evaluate. The strategies that work across deployments combine techniques to match the complexity of the systems they measure. \n
anthropic
Part 1 of Build your own claw and agent harness with Microsoft Agent Framework. In the overview we said a “claw” is really just an agent harness: a loop around a model, wired up with tools, planning, memory, and more. I…
devblogs.microsoft
The gateway is the runtime control plane for enterprise AI, turning policy into enforceable decisions across every model call, tool call, and agent hop.
langchain
Today, I’m publishing evals-skills , a set of skills for AI product evals 1 . They guard against common mistakes I’ve seen helping 50+ companies and teaching 4,000+ students in our course . Why Skills for Evals Coding a…
hamel
Harnesses encode assumptions that go stale as models improve. Managed Agents—our hosted service for long-horizon agent work—is built around interfaces that stay stable as harnesses change.
anthropic
Your Python agents can now pick up reusable bundles of domain expertise (instructions, reference material, and scripts that load only when a task calls for them) through a stable, production-ready API. Agent Skills for…
devblogs.microsoft
Apollo uses Deep Agents and LangSmith to power an AI Assistant that handles prospecting, enrichment, outreach, analytics, and MCP integrations.
langchain
News
Introducing OpenAI Presence, a proven enterprise AI agent platform that helps organizations deploy trusted voice and chat agents for customer and internal workflows.
openai
OpenAI launches the ChatGPT for Small Businesses program, helping entrepreneurs build AI skills, automate work, and grow with ChatGPT Work.
openai
Thomas Betts talks with Clare Liguori, the technical lead on the open source Strands Agents SDK. The conversation covers how Strands Agents has grown from a Python SDK to a full agent harness running in production. Clar…
infoq
Explore Maestro, an AI coding agent built in PHP with Neuron AI, featuring tool approval, CLI workflows, provider support, and MCP.
phpconference
Earlier this month I hosted a fireside chat session at the AI Engineer World's Fair with Cat Wu and Thariq Shihipar from Anthropic's Claude Code team. We talked about Claude Code, Claude Tag, Fable, coding agent securit…
simonwillison
The Kimi K3 is an open source AI model with 2.8 trillion parameters, designed to compete with proprietary systems like Fable and GPT 5.6. It excels in areas such as coding, reasoning and multimodal tasks. A defining fea…
geeky-gadgets
Run AI models locally in .NET with ONNX Runtime. Achieve faster inference, better privacy, and lower costs without cloud APIs.
c-sharpcorner
Hi HN, we're developing Neverbell, an AI agent that combines market analysis with trade execution.One of our beta testers said to Neverbell: “Protect my downside, but don’t be too conservative.”Volatility increased a fe…
neverbell
OpenAI announces Project Camellia in Effingham County, Georgia, with commitments to responsible energy, community investment, jobs, and access to Codex.
openai
OpenAI outlines its commitment to advancing American science working with the U.S. Department of Energy and national labs to use frontier AI to accelerate discovery.
openai