Show HN: Panel – A research workspace where the agent can build its own panes
Top Hacker News discussion.
github
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Feature
AI Pessimism as Strategy: The Debate Over Local Model Criminalization
Skepticism mounts as some allege AI firms are pushing to criminalize local models to maintain control.
Why it mattersThe debate over local model criminalization highlights the tension between corporate control and open-source innovation in AI. Developers must navigate this landscape, balancing transparency and accountability against potential shifts towards centralized, proprietary solutions.
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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
Building Better AI Tools
Show HN: Ordewell – turn one goal into an ordered plan of coding-agent tasks
Top Hacker News discussion.
github
AI Agents: Trust Issues
At what point do you stop trusting an AI agent with direct API access?
I’ve been thinking about this more as agents move from “read some data and tell me something” to actually doing stuff. Giving an agent access to an API isn’t particularly difficult. The scary part is giving it permissio…
r/AI_Agents
One extraction config across multiple agents will ruin all of them
When we first shipped memory it had one config for everything and every agent type got mediocre memory instead of any agent type getting good memory. What's actually different per agent type Take a support agent and a s…
r/AI_Agents
Tools
sentence-transformers/all-MiniLM-L6-v2
Trending AI model on Hugging Face — sentence-similarity.
🤗huggingface
DietrichGebert/ponytail
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
github | stars 139,231
anywhere-labs/dsh-desktop
为 DeepSeek Harness (DSH) 插件生态打造的现代化桌面端解决方案。万物皆「插件」，桌面本身也是「插件」。
github | stars 26,783
Build
What we have learned at OpenShell applying formal methods to control AI agents
Top Hacker News discussion.
nvidia.github
Do LLMs Have the Memory of a Goldfish?
In this article, we will learn how LLMs handle memory so that they are useful to end users in performing complex tasks that require conversation and holding context.
blog.bytebytego
What Happens Inside an AI Chatbot Between Enter and the First Word?
In this article, we are going to look at this entire journey in detail.
blog.bytebytego
Research
Authorization Architectures for Tool-Using AI Agents
Tool-using artificial intelligence (AI) agents, systems that autonomously invoke application programming interfaces (APIs), databases, browsers, and inter-agent protocols such as the Model Context Protocol (MCP), are be…
arxiv
The Router Within: Eliciting Native Skill Routing from a Frozen LLM
Skills extend an LLM agent beyond its parametric knowledge, and the gain they promise rests on picking the right one. Deployed harnesses route by preloading every skill's metadata into the context, which disperses the a…
arxiv
Stellar Colosseum: A Many-Agent Harness for Long-Horizon Research in Mathematics and Theoretical Computer Science
Language models can produce plausible short proofs, but may still be unreliable on long-horizon research problems, where progress depends on a sequence of uncertain and interdependent decisions. We introduce Stellar Col…
arxiv
Playbooks
Scaling Agents in Healthcare & Life Sciences: Lessons from Madrigal Pharmaceuticals, Abridge, and Vizient
Agent programs in healthcare and life sciences are being built under a different set of constraints than those in most industries. There’s plenty of upside if the constraints can be resolved. Success can mean hours of m…
langchain
Agent Skills for Python Is Now Released
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
Selecting The Right AI Evals Tool
Over the past year, I’ve focused heavily on AI Evals , both in my consulting work and teaching. A question I get constantly is, “What’s the best tool for evals?”. I’ve always resisted answering directly for two reasons.…
hamel
News
Your Agent Aced the Task. Will It Do It Again?
🤗huggingface
Presentation: Decision Models in Agentic Architectures: From Production to Agent Skills
Alex Porcelli discusses the critical gap in enterprise AI: non-deterministic output and lack of accountability in high-stakes decisions. He shares how integrating DMN decision models with LLMs, agent skills, and NeMo gu…
infoq
From fine-tuned model to cheaper and faster inference: Speculator training on Red Hat OpenShift AI with Kubeflow
Your organization spent months fine-tuning a large language model. Maybe it's a 70 billion parameter model trained on internal medical records, legal documents, or customer support transcripts. It's accurate. It's uniqu…
redhat