Show HN: Formally verified 3D CSG: Trust 93 lines spec, not 1000 lines AI code
Top Hacker News discussion.
github
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Feature
A $500 Fine-Tuning Boosts 9B Open Model Beyond Frontier AI in Catalog Review
A modest RL fine-tune outperforms top-tier models, challenging AI cost paradigms.
Why it mattersAI development is increasingly about cost-effective customization rather than sheer model size. This shift towards fine-tuning existing models challenges traditional AI investment strategies, emphasizing task-specific optimization to unlock value.
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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 Model Trust Issues
Fast Remediation Is the New Trust Model (JFrog and OpenAI Zero-Day Findings)
Top Hacker News discussion.
jfrog
AI in the Workplace
Will AI literacy become a basic workplace skill?
A few years ago, knowing how to use a computer was a big advantage. Today, it’s expected. I feel AI might follow a similar path. Knowing how to use AI tools effectively could become a basic skill across many jobs. Not e…
r/artificial
AI tools for real estate lead gen actually work but nobody talks about the ugly tradeoffs
Been running AI on top of my real estate pipeline for a few months now. Pulling leads, qualifying them with automated followup sequences, generating property descriptions, drafting cold outreach. On paper it looks clean…
r/artificial
[Academic Survey] Employees working in Germany: Attitudes toward AI in the workplace (5–7 min)
Hi everyone! I'm conducting this survey as part of my Master's thesis and would greatly appreciate your participation. The research examines how employees' perceptions of HR practices relate to work engagement and innov…
r/artificial
AI Training Controversies
NeurIPS 2026 Reviewer: AI-Generated Rebuttals (and Paper) [D]
One of the papers I reviewed has what seems to be entirely LLM-generated rebuttals, and the original paper is also clearly LLM-generated, with Claude-speak everywhere. While the authors acknowledge LLM writing assistanc…
r/MachineLearning
NeurIPS 2026 AI-generated reviews [D]
I'm really confused about what the point of the prompt injection was (speaking as an author). Is it just a study? I would really prefer that they took action against the AI-generated reviews. Obviously, we cannot assume…
r/MachineLearning
AI executives demand OpenAI release more details about how the Hugging Face hack happened
Recent Reddit discussion.
r/OpenAI
AI Companies Are Buying Antique Books, Ingesting Their Contents to Train Models, and Then Destroying Them at Incredible Scale, Even If Almo…
Source AI companies are literally destroying physical books to train their models. Using hydraulic cutting machines, they rip pages from used books, scan them with industrial equipment, and feed them into their AI syste…
r/artificial
Cool AI Tools Launch
Show HN: Tines 3B – safe workflow automation for when everyone builds software
Top Hacker News discussion.
tines
Show HN: Segue – Save context in one AI, load it in another by a short handle
Top Hacker News discussion.
segue
Honorable mentions
A $500 RL fine-tune of a 9B open model beat frontier models on catalog review
Top Hacker News discussion.
fermisense
Home Office used 'AI hallucinated' information to refuse asylum claim, judge
Top Hacker News discussion.
theguardian
DeepSeek V4 Flash, up to 32 tok/s on AMD Ryzen AI MAX+ 395
Hey fellow llamas. we have something new for Strix Halo owners we thought would be useful to share. i'll keep it short: We were able to fit DeepSeek V4 Flash plus its speculative draft on a single Ryzen AI MAX+ 395 with…
r/LocalLLaMA
Tools
Graphify-Labs/graphify
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local determi…
github | stars 97,598
JuliusBrussee/caveman
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
github | stars 93,829
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 90,795
HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive
Trending AI model on Hugging Face — image-text-to-text.
🤗huggingface
nexu-io/open-design
🎨 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 82,195
santifer/career-ops
Open-source AI job search: scan job portals, evaluate listings with a structured A-F rubric into a 1.0-5.0 score, tailor your CV, track applications — runs locally in your AI codi…
github | stars 61,988
DavidAU/Qwen3.6-27B-Fable-Fusion-711-Uncensored-Heretic-NM-DAU-NEO-MAX-MTP-GGUF
Trending AI model on Hugging Face — image-text-to-text.
🤗huggingface
Playbooks
Discover Agent Skills from MCP servers in .NET
Your agents can now discover and load Agent Skills directly from a Model Context Protocol (MCP) server. Instead of shipping every skill inside your application or copying skill folders into each deployment, you point an…
devblogs.microsoft
How LangChain Built an Agent-First Data Stack
Learn how LangChain used Hex, dbt, semantic models, and observability to build a trusted data agent and scale self-service analysis by 40x.
langchain
A Field Guide to Rapidly Improving AI Products
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
Demystifying evals for AI agents
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
The Microsoft Agent Framework Harness is now released
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
Own Your Intelligence: The Key to Lasting AI Advantage
Learn why companies must own their agent systems, governance, context, and feedback loops to turn generic AI into lasting business advantage.
langchain
Evals Skills for Coding Agents
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
Scaling Managed Agents: Decoupling the brain from the hands
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
Meet your agent harness and claw
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
Eval Engineering Skill: Build Evals From Repo Context and Traces
LangChain's Eval Engineering Skill inspects your agent's repo and traces, proposes evals through user interviews, and outputs runnable Harbor tasks.
langchain
News
Six Agent Harness Capabilities for Higher Model Performance
Building a great AI agent isn’t just about choosing the right models. The harness is the architecture surrounding the model. How it renders context, executes...
developer.nvidia
NVIDIA Expands NVIDIA Agent Toolkit With NVIDIA PhysicsNeMo and CUDA-X Libraries to Transform How the World Engineers, Designs and Builds
NVIDIA today announced an expansion of NVIDIA Agent Toolkit for engineering, now adding NVIDIA PhysicsNeMo™ and CUDA-X™ libraries as agent-ready tools and skills built to transform how the world designs and develops pro…
nvidianews.nvidia
The harness is all you need (mostly)
A practical GitHub Copilot workflow for prototyping, planning, implementing, and reviewing software without chasing every new AI tool. The post The harness is all you need (mostly) appeared first on The GitHub Blog.
github
Laravel Developer Stack 2026: The Complete Toolchain
The Laravel developer stack 2026 requires more than an IDE choice. Here's the IDE, testing, observability, and AI workflow tooling that actually holds up in production.
origin-main
Agentic AI System Design Explained: The Building Blocks Behind Real AI Agents
Unlock the secrets of agentic AI system design: explore building blocks like model routing, tools, memory, orchestration, and production principles for reliable AI agents.
c-sharpcorner
Harness Agent DLC targets AI agent development gaps
DevSecOps for AI agents requires more than code review -- Harness beefs up behavioral and security controls and hints at a possible observability expansion.
techtarget
Beyond RAG: Task-aware knowledge compression for enterprise AI on AWS
Traditional RAG hits a ceiling on analytical tasks that span hundreds of documents. This post shows how to use task-aware knowledge compression (TAKC) on AWS to pre-compress entire knowledge bases into task-specific rep…
aws.amazon
Quoting Boris Cherny
More than any of these eval scores, what is most exciting to me is something else: Opus 5 is our least prompt injectable model yet. It is a bit buried in the system card, but across PI evals and red teaming, Opus 5 is v…
simonwillison