Sanders introduces bill to ban artificial superintelligence and pause AI
Top Hacker News discussion.
sanders.senate
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Feature
Hugging Face's MiniLM-L6-v2 Boosts Sentence Similarity Tasks
The MiniLM-L6-v2 model promises efficient semantic understanding, but faces competition from larger models.
Why it mattersAs AI demands grow, models like MiniLM-L6-v2 show how to balance performance and resource efficiency. Developers face the challenge of choosing between compact models for speed and larger models for accuracy, shaping future AI infrastructure strategies.
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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 Regulation and Concerns
AI Agents: Hype or Help?
Agent security taking a backseat?
Have been in tech long enough to recognise the same patterns emerging. 2019 it was IoT , 2026 its AI agents. Everyone rushing to ship without thinking about consequences , how bad it could go when agents are deployed wi…
r/AI_Agents
Are AI agents actually doing a good job, or are we overhyping them?
I’ve been experimenting with AI agents lately, and I’m honestly starting to wonder how useful they really are in production. The demos look impressive: Give an agent a goal → it plans the steps It can use tools/APIs It…
r/AI_Agents
I sign off on agent builds for regulated-industry clients. The pilots that die never die because of the model.
I run delivery at a software shop. We build custom systems for insurance, healthcare, and fintech. Most of my current work involves agents: intake triage, claims routing, underwriting support, and internal ops copilots.…
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 123,159
zhaoxuya520/reverse-skill
Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base S…
github | stars 34,354
Build
Why generative AI won't create 10x developers
Why generative AI won't create 10x developers
thoughtworks
The New American AI Model Designed to be Customized
In this article, we will work through the various choices Thinking Machines made while building Inkling.
blog.bytebytego
From specification to production: Building enterprise software with agentic AI
From specification to production: Building enterprise software with agentic AI
thoughtworks
Research
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills
Autonomous agents are beginning to carry out machine-learning (ML) research end to end. These agents combine a model backbone with a harness for planning, execution, memory, and verification, but this architecture still…
arxiv
SafeEvolve: Harness-Policy Co-Evolution from Agent Experience for Safety Alignment
The performance of LLM-based agents is jointly shaped by the base model and the harness used when interacting with the environment. This exposes them to safety risks in both harmful final responses and multi-step execut…
arxiv
EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction
Evaluating LLM agents is essential for guiding their development, yet it has grown prohibitively expensive: a single pass of a frontier model over an agentic benchmark can cost hundreds to thousands of dollars, a price…
arxiv
Playbooks
MCP in LangChain: Stateless Protocol, Elicitation, and More!
MCP support now lives in langchain.mcp, built on FastMCP for the 2026-07-28 spec, with elicitation handled as a LangGraph interrupt and tool lists cached.
langchain
Harness design for long-running application development
Harness design is key to performance at the frontier of agentic coding. Here's how we pushed Claude further in frontend design and long-running autonomous software engineering.
anthropic
“It’s Hard to Eval” Is a Product Smell
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hamel
News
Migrate agentic workloads to Amazon Bedrock AgentCore
An agent that works in a notebook is not an agent in production. This post walks through migrating a LangGraph customer support agent to Amazon Bedrock AgentCore in two stages: onto Runtime, Gateway, and Memory, then to…
aws.amazon
Set up OpenAI ChatGPT Codex with LiteLLM on Amazon ECS and Amazon Bedrock
Deploy a customer-operated LiteLLM gateway on Amazon ECS with AWS Fargate, connect it to an OpenAI model on Amazon Bedrock, and configure Codex to route requests through the gateway's Responses API with scoped identitie…
aws.amazon
pipelock v3.5.0
Open-source AI agent firewall that scans HTTP, MCP, A2A, and WebSocket traffic for exfiltration, SSRF, and prompt injection, emitting verifiable signed action receipts for audit.
kitploit