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Nvidia Cosmos 3

Nvidia announces Cosmos 3, an open-source foundation model for physical AI that integrates reasoning, world generation, and action generation.

Hacker News AIAgents / ChipsIn-site article
Introducing Pulse: A Post-Scrum Manifesto and Agent Workflow for AI-Native Teams

Pulse is a V-Model workflow for AI coding assistants, consisting of six phases: business analysis, requirements engineering, architecture, coding, testing, and security audit, each with quality gates. It works across Claude Code, Cursor, Codex, OpenCode, Gemini CLI, and GitHub Copilot, supporting greenfield, brownfield, and migration projects. It includes 32 innovation method cards to help teams choose the right research approach when user needs are thin.

Hacker News AIAgents / ResearchIn-site article
Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic

This article explores the critical role of agent logic—such as knowledge graphs and program analysis libraries—in enabling scalable enterprise AI adoption. Through IBM's practices in four domains (legacy code understanding, test generation, incident response, compliance modernization), it shows how agent logic reduces LLM context, lowers costs, and improves performance.

Hugging Face BlogModels / Agents / PolicyIn-site article
Nemotron 3 Ultra: high-speed, leading US open weights intelligence

NVIDIA announced Nemotron 3 Ultra, a 550B-parameter open weights model with 55B active parameters, achieving the highest intelligence among US open weights models with a score of 48 on the AI Index, and serving over 300 tokens per second on DeepInfra.

Hacker News AIModels / Agents / ChipsIn-site article
AI isn't a value-add for software; software is a value-add for AI

This article argues that AI companies view software not as the product but as a means to drive inference demand. They commoditize the software layer to expand the market for tokens, with Jevons paradox as their growth strategy.

Hacker News AIAgents / PolicyIn-site article
Context is essential for AI agents, but I think shared state is the next problem

Ablo is a typed sync engine for shared app state that humans, server code, and AI agents edit concurrently. It offers real-time updates, prevents silent overwrites, coordinates agent work with claims, and integrates with React. This article covers core features, quick start, read/write operations, agent coordination, React integration, identity sync groups, HTTP writes, and database connection.

Hacker News AIAgents / PolicyIn-site article
The Roadmap for Mastering LLMOps in 2026

A structured six-step LLMOps roadmap covering observability, evaluation, cost control, and agent orchestration to build production-grade LLM systems. The LLMOps market is projected to grow from $1.97 billion in 2024 to $4.9 billion by 2028 at a 42% CAGR.

Machine Learning MasteryModels / Agents / ResearchIn-site article
Google AI Studio vs Gemini App: What’s the Difference?

Google's Gemini ecosystem is confusing: Gemini App is a consumer AI assistant, while Google AI Studio is a developer platform for building with Gemini models. This article compares their purpose, interface, target users, API access, pricing, and more.

Analytics VidhyaAgents / PolicyIn-site article
MiniMax debuts AI model built for long and complex coding tasks

Chinese AI startup MiniMax released its flagship model M3, designed for coding agents and automated workflows. It processes up to 1M tokens, reduces computational costs by 20x, and outperforms OpenAI GPT-5.5 and Google Gemini on SWE-Bench Pro. The company also prepares for a Shanghai IPO and partners with Ant Group's Alipay for AI payment infrastructure.

Hacker News AIModels / Agents / ChipsIn-site article
Copilot usage metrics API adds cohorts for AI adoption

GitHub's Copilot usage metrics API now classifies users into four AI adoption phases based on their feature usage over a 28-day rolling window, enabling deeper tracking of adoption maturity. The new ai_adoption_phase field and aggregated metrics per phase help administrators tailor enablement strategies.

Hacker News AIAgentsIn-site article
AI Companies Don't Want Us to Be Token Efficient

We are in the honeymoon phase of exploring LLMs, but AI companies like Anthropic and OpenAI have no incentive to teach efficiency. They profit from our dependency, creating unreadable output that deepens reliance. We must be disciplined: generate only what we will read, use agents as assistants not replacements. Token efficiency is an act of refusal.

Hacker News AIAgentsIn-site article
SaaS Is Not Dead Yet

Despite the rise of AI agents leading many to declare the end of SaaS, this article argues SaaS is not dead. Work is collaborative, while agent-based programming is individualistic, lacking sharing, collaboration, testing, versioning, and security. SaaS companies can adapt by providing APIs for agents, becoming the system of record for data.

O'Reilly AI & ML RadarAgents / ResearchIn-site article
Uselink: Turn HTML into a Controlled Link with Comments and Permissions

Uselink is a newly launched tool that converts any HTML or Markdown into a link you control. Paste a document, get a URL under your handle, decide who can read and who can comment. Readers can reply in threads without an account, which Google Docs and Notion can't do. Interactive HTML actually runs. It supports password, expiry, view limits, and versioning. New features include a visual editor and an MCP server for AI tools to publish automatically.

Product Hunt AIAgentsIn-site article
When Background AI Agents Become a Security Boundary Problem

This article examines how Claude Code's features—background sessions, supervisor process, and the CLAUDE_CONFIG_DIR environment variable—can be exploited to create a persistent, invisible C2 agent using only Markdown and JSON files after one-time local code execution.

Hacker News AIAgents / ResearchIn-site article
Nvidia announces new AI chip for personal computers

Nvidia has unveiled the RTX Spark chip for PCs, aiming to bring AI to consumer devices. CEO Jensen Huang likened the move to the reinvention of the smartphone. The chip will power new Windows PCs from Lenovo, HP, Dell, Microsoft Surface, Asus, and MSI, available in autumn. Meanwhile, the US tightened export controls on Nvidia's advanced chips on Sunday.

Hacker News AIAgents / ChipsIn-site article
Overcoming Skepticism and Driving AI Adoption in Nursing

Nursing documentation has become an operational bottleneck that AI cannot fix without deep workflow alignment and disciplined change‑management. Nurses now spend up to 41% of their time on EHRs, and systematic reviews link EHR burden directly to clinical burnout. This article explores how AI can reduce nursing burden through ambient documentation, continuous accuracy tuning, and change‑management frameworks.

Emerj AI ResearchAgents / PolicyIn-site article
Code Review Assumes an Author

Traditional code review relies on a human author who can explain the code, but AI-generated code is eroding that assumption. Review is becoming the place where understanding first appears, and the article proposes requiring authors to explain intent before review to restore accountability.

Hacker News AIAgents / PolicyIn-site article
OpenAI frontier models and Codex are now available on AWS

OpenAI frontier models and Codex are now generally available on AWS, giving enterprises a new path to build with OpenAI through the AWS environments, controls, and procurement workflows they already use. Customers can get started with OpenAI on AWS and move faster from evaluation to production.

OpenAI NewsModels / Agents / ResearchIn-site article
Nearly $200M! VAST Completes New Funding Round, Officially Reveals World Model Roadmap

General AI company VAST has announced nearly $200 million in new funding and publicly unveiled its world model roadmap, Project Eden. The approach decouples state prediction from visual rendering, enabling persistent environments, scene reuse, and native multi-player interaction, targeting both creators and embodied AI research.

量子位Models / Agents / ChipsIn-site article
Proveyouragent: Cryptographic identity for AI agents (Ed25519 and DPoP)

Proveyouragent is a Python library that provides cryptographic identity for AI agents using Ed25519 key pairs and DPoP (RFC 9449) request signing, ensuring every request originates from a legitimate agent. It solves agent authentication, authorization, and replay attack prevention.

Hacker News AIAgentsIn-site article