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EVA-Bench Data 2.0: 3 Domains, 121 Tools, 213 Scenarios

EVA-Bench Data 2.0 expands the enterprise voice agent benchmark from one domain to three: Airline CSM, Enterprise ITSM, and Healthcare HRSD, with 213 scenarios across 121 tools—a 4x increase. Scenarios are generated via the SyGra pipeline, manually reviewed, and validated by frontier models. Multilingual support is upcoming.

Hugging Face BlogAgents / PolicyIn-site article
AI leaders call for tougher protections against AI-aided bioweapons

AI industry leaders, including Anthropic's Dario Amodei, OpenAI's Sam Altman, and Microsoft's Mustafa Suleyman, are urging US lawmakers to mandate screening of synthetic DNA and RNA orders to prevent AI from being used in bioweapon development. They warn that voluntary measures are insufficient given the rapid pace of technological change.

The Verge AIPolicyIn-site article
7 Steps to Mastering Time Series Analysis with Python

This article breaks down 7 key steps to help you analyze and forecast time series data with Python, from understanding unique properties to deploying and monitoring models.

KDnuggetsAgents / ResearchIn-site article
Leni

Leni is the world’s most accurate AI for investors, featuring verification layers, decision traces, and a unified data model. It outperforms GPT, Claude, and Manus on benchmarks, supports over $80B in assets, and is launching on Product Hunt with a 90% discount code.

Product Hunt AIAgents / PolicyIn-site article
Scout from M’Soft is the agentic Autopilot that works across M365

Microsoft announced broader testing of its new Autopilot feature at Build. Autopilots are agents that work autonomously on behalf of users, each with its own identity. The first Autopilot, Scout, has been tested internally and is now rolling out to select customers and Frontier organizations. Scout operates across Microsoft 365 apps, coordinating data from Outlook, OneDrive, SharePoint, and Teams to schedule meetings, flag messages, and generate events. It learns user preferences over time. Built on OpenClaw, Scout includes enterprise-grade security, and Microsoft plans to contribute upstream. Administrators can validate secure operation via Entra IDs, and sensitive actions require human approval. Early trials helped tune security. Scout automatically identifies deadlines, blocks calendars, and provides materials. The announcement was by Omar Shahine, Corporate VP. Early adopters need Frontier enrollment, Intune policy, opt-in attestation, and a GitHub Copilot license.

Artificial Intelligence NewsAgents / PolicyIn-site article
Erin Brockovich is taking on AI

Consumer advocate Erin Brockovich launches a website to map AI data centers across the U.S. and collect resident concerns, highlighting environmental impact and lack of community consultation.

Hacker News AIStartupsIn-site article
Zorv - Self-hosted autonomous AI that fixes CVEs

Zorv is a self-hosted autonomous AI tool that automatically fixes CVEs in your CI/CD pipeline. It scans for vulnerable dependencies, upgrades them, and when tests break due to API changes, it intelligently rewrites code to pass tests, then opens a merge-ready PR. It runs in an isolated sandbox and supports 11+ LLM providers.

Hacker News AIAgents / RoboticsIn-site article
Knox – Govern AI agent tool calls before they execute

Knox is a security policy engine for AI coding agents, shipping as CLI, Node library, Claude Code plugin, Cursor plugin, and OpenAI Codex plugin. It intercepts dangerous tool calls in real-time, provides audit logging, prompt injection scanning, and policy tampering protection. The article covers installation, capability matrix, limitations, and customization.

Hacker News AIAgents / PolicyIn-site article
Field Notes from the AI Battlefield

A developer at Microsoft shares practical principles for working with AI coding tools, based on extensive experience. Key lessons include not trusting AI-generated code blindly, automating development workflows with Makefiles, testing strategies, using LLMs for user stories, and aggressively refactoring to avoid technical debt.

Hacker News AIAgents / PolicyIn-site article
Anthropic's Series H and Draft S-1 Point to a Bigger Shift in Frontier AI

Anthropic's $65B Series H and draft S-1 filing signal more than financial milestones; they reflect a deeper shift where frontier AI companies are evolving from ordinary software firms into operators of critical systems, requiring long-term capacity planning, safety control layers, and public risk reporting.

Hacker News AIAgents / ChipsIn-site article
Task-Seeded Synthetic Q&A Generation for Nemotron Pretraining

NVIDIA's team developed a task-seeded synthetic data generation pipeline that uses public task training splits as seeds to produce structured Q&A data for late-stage Nemotron model training. In a 100B-token continuation experiment, it improved MMLU-Pro by +1.8, average code by +1.9, commonsense understanding by +1.6, and GPQA by +11.1 while keeping math stable. The pipeline involves five stages: seed collection, record normalization, example generation, answer enrichment, and filtering. Transfer learning across task families enables the model to learn reusable behaviors.

Hugging Face BlogModels / Agents / ChipsIn-site article
AutoEdit: Your Claude AI Video Editor for Premiere Pro

AutoEdit is an AI plugin for Adobe Premiere Pro that leverages Claude AI to automatically remove silences, filler words, and bad takes, creating a rough cut in minutes. It runs directly inside Premiere, eliminating the need for external uploads, and aims to speed up the editing process by handling repetitive tasks.

Product Hunt AIAgentsIn-site article
Predict, Don’t Enumerate

Anthropic's recommendation to use EPSS for vulnerability prioritization marks a shift from static severity scores to predictive models. The article explores the machine-scale problem of vulnerability volume, the distinction between pointing machines and knowing machines, and the policy changes needed for security programs to survive the coming wave of AI-discovered vulnerabilities.

O'Reilly AI & ML RadarAgents / PolicyIn-site article
Show HN: Curlo – Search sound libraries with natural language, on-device AI

Curlo is a native macOS app that uses on-device AI to search audio files by natural language descriptions. It offers semantic and metadata search, tagging, UCS classification, and a local API, all without needing internet or uploading files. Pricing includes free and pro tiers.

Hacker News AIAgents / ResearchIn-site article
Show HN: MCP for the ChatGPT Ads API – Query ChatGPT Ads from Claude and Codex

A new open-source MCP server enables AI assistants like Claude and Codex to read OpenAI Ads data through natural language queries. The read-only tool supports 11 API endpoints for campaigns, ad groups, ads, and insights. Works with Claude Desktop, Cursor, VS Code, and other MCP clients. Requires Node.js 20+ and an OpenAI Ads API key.

Hacker News AIAgentsIn-site article
Interview with AAAI Fellow Sanmay Das: multiagent systems

Sanmay Das, professor of computer science at Virginia Tech, was elected a 2026 AAAI Fellow for his work on multiagent systems and AI for social impact. He discusses his research on market making, matching, and societal resource allocation, and how AI can be integrated into public systems.

AIhubAgents / PolicyIn-site article
Minimal EU AI Act Article 50 (AI Disclosure) Banner in React and Tailwind

A lightweight React + Tailwind CSS component to help SaaS startups comply with EU AI Act Article 50 by August 2, 2026. Includes features like localStorage-based one-time display and privacy link. Also promotes a paid compliance starter kit.

Hacker News AIAgents / PolicyIn-site article
DiffusionBlocks: Training Neural Networks One Block at a Time

DiffusionBlocks is a block-wise neural network training method that partitions a network into blocks and trains each independently using a diffusion framework, reducing memory consumption to that of a single block while maintaining performance comparable to end-to-end training. It was presented at ICLR 2026.

Hacker News AIModels / Chips / ResearchIn-site article
Amazon brings AI shopping assistant to retailers with Kate Spade

Amazon is offering its AI shopping technology to other retailers through a new Agentic Shopping Assistant built on AWS, with Kate Spade among the first brands to use it. The service allows retailers to build custom AI shopping assistants for their own platforms, leveraging Amazon's internal technology and expertise. Deployments can be completed in weeks, and the assistant already drove nearly $12 billion in incremental sales last year.

Artificial Intelligence NewsAgents / ResearchIn-site article
Replacing Bash with Swift in an AI Harness

A developer experiments with embedding a Swift interpreter (SwiftScript) to replace Bash in an AI agent framework, achieving a more controlled and secure execution environment while maintaining sandboxing.

Hacker News AIAgents / PolicyIn-site article
Amazon develops a warehouse robot workers can speak to

Amazon announces a new version of its autonomous Proteus robot that can be controlled via natural language, expanding its operational area and slated for European deployment in early 2027.

The Verge AIAgents / RoboticsIn-site article
SparrowDesk: The AI-First Help Desk. Resolve More. Search Less.

SparrowDesk is an AI-first help desk that unifies email and chat channels, featuring Luna AI for up to 60% auto-resolution. Its Zoona AI learns from docs and past conversations to resolve tickets automatically. It also includes copilot features and a self-healing knowledge base, tailored for startups.

Product Hunt AIAgents / Research / StartupsIn-site article
AI enthusiasts are in a race against time, AI skeptics in a race against entropy

This article examines the growing divide between AI enthusiasts and skeptics in engineering teams. Enthusiasts see real productivity gains from AI, while skeptics worry about hidden costs and degraded reliability. The author calls for telling the whole story and treating the issue as an engineering problem to bridge the gap.

Hacker News AIResearch / StartupsIn-site article
StereoTales: Multilingual Open-Ended Stereotype Discovery in LLMs

StereoTales is a multilingual dataset and framework to uncover social biases in open-ended story generation from LLMs. Analyzing over 650,000 stories from 23 models across 10 languages revealed over 1,500 over-represented demographic associations, many deemed harmful by humans and the models themselves. The study finds that all tested LLMs emit harmful stereotypes in free-form text, biases are language-specific, and models underestimate harm on socio-economic attributes.

Hacker News AIModels / Research / StartupsIn-site article
5 Android Auto mistakes you're probably making - and how to fix them

Many users make common mistakes with Android Auto that can trigger technical issues or cause you to miss features. This article covers five common mistakes and how to fix them, including using cheap cables, always connecting wirelessly, enabling battery optimization, ignoring offline maps, and neglecting Gemini voice controls.

ZDNet AIToolsIn-site article
Companies Are Using Reddit to Manipulate ChatGPT and Google AI Search

Peptide and hormone replacement therapy companies have been spamming Reddit's biohackers subreddit to manipulate AI chatbots like ChatGPT and Google AI Search. Moderators have banned new posts about peptides and HRT in response to this AI engine optimization tactic.

Hacker News AIRoboticsIn-site article