FTC is investigating OpenAI, Anthropic and other AI companies over product risks
Top Hacker News discussion.
cnbc
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Thursday, October 1, 2026
Feature
AI Sales Coaching Streamlines Call Review Processes
AI tools are significantly reducing the time managers spend reviewing lengthy sales calls, offering a new level of efficiency in sales coaching.
Why it mattersAI is reshaping sales coaching by automating call reviews, improving efficiency. Developers must address AI's limitations in interpreting human interactions, balancing automation with human oversight to ensure accurate, actionable insights.
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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 Roundup
US judge dismisses Chegg, Penske antitrust suits over Google AI Overviews
Top Hacker News discussion.
reuters
Agentic AI Challenges
As you add more tools to an agent, it starts calling the wrong ones. Letting the model write code to call them is the fix.
when an agent has a handful of tools, calling them directly works fine. The problems start as the list grows. Every tool schema sits in the context before the agent does any real work, and the model starts reaching for…
r/AI_Agents
The consent line on our voice agent gets skipped whenever callers speak early
A quarterly review asked for twenty random call recordings. The second one we opened held a problem that took the rest of the week to understand. Our outbound calls open with a short statement that the call is being rec…
r/AI_Agents
Tools
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 150,290
NandhaKishorM/laya
Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right…
github | stars 29,773
Build
Sakana AI's Fugu: Is this where model routing should live?
Sakana AI's Fugu: Is this where model routing should live?
thoughtworks
How LLMs Can Find a Needle in a Haystack
In this article, we are going to look at how LLMs can find a needle in a haystack.
blog.bytebytego
Quantifying AI adoption: From initial challenges to doubling speed
Quantifying AI adoption: From initial challenges to doubling speed
thoughtworks
Research
Cogentic: Multi-Agent Orchestration for Automated Proof Discovery
We present Cogentic, a multi-agent harness for automated proof discovery on open research problems. While frontier language models can generate strong mathematical ideas in a single shot, single-shot generation is often…
arxiv
How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?
Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over long-horizon cycles and limited Large Language Model (LLM) p…
arxiv
Skill-Based AI Agents for Power-System Studies
This paper describes a skill-based agentic framework for power-system studies using Model Context Protocol (MCP)-connected engineering tools. A custom MCP server was developed to expose Siemens PTI PSSE functions for po…
arxiv
Playbooks
How to Build a Model Router in the Harness
How we built a model router into Open SWE's harness that cut median cost per coding task by 64% with no measurable drop in quality, and how to build your own.
langchain
Claude’s new auto eval tool
Anthropic released new eval tooling for Claude Code . Their claude-api plugin now includes a new build_eval and hill-climb command that helps you build evals, check the graders, and improve your application against them…
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
News
Build agent memory with NVIDIA NeMo Agent Toolkit and Amazon S3 Vectors
Learn how to use Amazon S3 Vectors as the persistent memory layer within the NVIDIA NeMo Agent Toolkit (NAT), deployed on Amazon Elastic Kubernetes Service (Amazon EKS). This post shows how NAT's memory subsystem works…
aws.amazon
Building ambient agents with Amazon Bedrock AgentCore: From event-driven signals to human-in-the-loop workflows
Ambient agents respond to events such as an Amazon S3 upload, a schedule, or an alert instead of waiting for a chat prompt. This post walks through building framework-agnostic ambient agents on Amazon Bedrock AgentCore…
aws.amazon
MMSkillRisk
Benchmark and evaluation harness testing whether LLM agents resist malicious instructions hidden in multimodal skill images, with 108 cases across five risk categories and ASR/TSR scoring.
kitploit