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NVIDIA BlogResearch

NVIDIA Nemotron Achieves Benchmark-Leading Performance With LangChain Deep Agents Harness

NVIDIA Nemotron 3 Ultra is offering leading performance at lower cost than top closed models with the largest and most widely adopted AI agent orchestration platform. LangChain tuned its Deep Agents harness for NVIDIA Nemotron 3 Ultra, achieving the highest accuracy among open models, while completing more tasks at higher throughput and running at 10x […]

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NVIDIA Nemotron Achieves Benchmark-Leading Performance With LangChain Deep Agents Harness
Dev.to

The Full Setup: From Zero to Agent-Ready in One Weekend

<p><em>This is the meta post — the one that ties together everything from this series into a single, copy-pasteable setup guide. Each tool has install commands, each step says why it matters.</em></p> <p>I wrote this because I'm lazy. Turns out that's a quality in a developer. I want to bookmark this, point an agent at it on a new system, and have it set everything up. I'll spend a day debugging things that will save me ten minutes every day from then on. Fix and forget. Automate myself out of t

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The Verge

This jumping $800 robot camera dog filled me with joy

What if you had a drone that wasn't a buzzy, annoying fly people wanted to swat - but rather a cute dog that runs and jumps? What if it could do tricks on command, and film your tricks as well? What if it could get right back up after a nasty-looking crash, dozens of times […]

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This jumping $800 robot camera dog filled me with joy
Towards Data Science - Medium

Redesign Work Before You Add More AI Agents

Map AI value, design workflows, redefine talent, upgrade the executive team, and measure the business impact. The post Redesign Work Before You Add More AI Agents appeared first on Towards Data Science .

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The DecoderBusiness

Google Deepmind adds background execution and MCP support to Gemini API managed agents

Google Deepmind is adding four new features to Managed Agents in the Gemini API. Agents can now run asynchronously in the background, connect directly to remote MCP servers, use custom functions alongside sandbox tools, and refresh credentials without losing state. The article Google Deepmind adds background execution and MCP support to Gemini API managed agents appeared first on The Decoder .

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DataRobot Blog

Your identity stack was built for two kinds of actor. Agents are a third.

Your identity stack was built for two kinds of actor. Agents are a third. An engineer ships an agent to production this week. It needs to call an internal API, so it uses the key already sitting in the engineer’s environment. The agent runs. It also now holds every permission that engineer holds. That is... The post Your identity stack was built for two kinds of actor. Agents are a third. appeared first on DataRobot .

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Your identity stack was built for two kinds of actor. Agents are a third.
Hacker News Show

Show HN: PACT – An open-source toolkit for privately signing digital content

I’ve recently been doing a lot of reading about provenance tracking, content authenticity, and AI model training policy enforcement and started working on PACT in an attempt to address some of the issues I saw. PACT is an open-source toolkit for signing content claims, attaching machine-readable policy metadata to files, and verifying those claims against a hosted trust registry. The initial use case is AI-training policy/provenance: for example, letting a content creator publish a signed “no co

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Hacker News: Show HN

Show HN: Dex – Cost-aware analytics engineering skills for agents

Hi I’m Marco, co-founder of Exmergo. Me and my team created Dex to help Analytics Engineers do real work with Claude Code (and any other coding agent). We’ve found that Data and Analytics teams are stuck between a rock and a hard place cost-wise: - On one side, they are using some of the most expensive consumption-billed software on the planet (Snowflake, Databricks etc.). - On the other side, Anthropic and Open AI want you to tokenmax (and with data analytics it’s very easy to burn your context

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The Guardian AIBusiness

Wyoming tightens wastewater rules after Meta datacenter contractor flushed contaminated water

<p>Meta said it was working with officials to be a ‘good neighbor’ and drinking water supplies were not affected</p><p>Officials in Wyoming said a contractor for <a href="https://www.theguardian.com/technology/mark-zuckerberg">Mark Zuckerberg</a>’s tech company, <a href="https://www.theguardian.com/technology/meta">Meta</a>, flushed bacteria-contaminated water into public sewers during construction of a controversial new AI <a href="https://www.theguardian.com/us-news/datacenters--us-">datacente

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Wyoming tightens wastewater rules after Meta datacenter contractor flushed contaminated water
Towards Data Science - Medium

Inside the Subspace Where Spurious Correlations Are Born

Why small samples can produce large correlations by chance, and why large does not always mean meaningful The post Inside the Subspace Where Spurious Correlations Are Born appeared first on Towards Data Science .

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OpenClaw Commits

fix: harden web fetch HTML conversion [AI] (#102033)

<pre style='white-space:pre-wrap;width:81ex'>fix: harden web fetch HTML conversion [AI] (#102033) * fix: harden web fetch html conversion * fix: consume malformed html tag tails * fix: consume invalid html tag spans * fix: preserve html scanner edge cases * fix: preserve title-only html fallback * fix: harden html scanner malformed tokens * fix: close html scanner review gaps * fix: keep malformed html raw text hidden * fix: keep html scanner comment content hidden * fix: skip unsupported html a

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Hacker News Ask

AI agents accessing production database

So we have arrived at a point, our agent neeeds to interact with real production database. So if you have implemented agents beyond the prototype stage, 1. what does your architecture is like, 2. any guardrails or runtime we need to custom build and 3. problems you have faced when it reached production. So this is my first time implementing agents in production so rather than product recommendations please do give your learnings from real implementation. Client: a smb(mostly internal work) Comme

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Hacker News Ask

Ask HN: Why aren't we collaborating on the prompts we give to our AI agents?

Now that code is so cheap, I feel like the real work is the spec, the context, the plan (aka the prompt) you hand over to the AI agent. That's where you decide what's actually getting built and how. That step still seems to be completely individual. You write it alone, the plan you formulate is local and private, and your coworkers only see the result when the PR is opened. On a team, that's the exact moment alignment should happen, and it's the one place we don't work together nowadays. GitHub

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The Guardian AIBusiness

Can AI equalize political campaign ads – or will it remain a tool for spreading lies?

<p>Political campaigns are increasingly deploying AI and deepfakes to further their messaging, and the scale of spread has experts concerned </p><p>From the comfort of his bed, Jonathan Rinaldi, a political candidate for a city council seat in Queens, New York, tinkered away on his iPhone, prompting an artificial intelligence chatbot to mock up fake news hits and endorsements he had never received.</p><p>During the campaign last October, Rinaldi shared one of those stories, made to appear real w

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Can AI equalize political campaign ads – or will it remain a tool for spreading lies?
Cloudflare Blog

Introducing Meerkat: an experiment in global consensus

Cloudflare Research is building a global consensus service called Meerkat that uses a new consensus algorithm called QuePaxa. We plan to use Meerkat to build a strongly consistent, fault-tolerant key-value store, and other applications.

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Introducing Meerkat: an experiment in global consensus
OpenAI BlogLLMs

Separating signal from noise in coding evaluations

A new analysis from OpenAI reveals issues in SWE-Bench Pro, a popular coding benchmark, raising concerns about reliability and accuracy in evaluating AI models.

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TechCrunch AIBusiness

Your gaming data could be the secret to AGI, according to this Bezos-backed startup

When it comes to achieving artificial general intelligence (AGI), large language models just don’t have what it takes. Models like ChatGPT and Claude are great at text, but they’re less skilled at understanding how things actually move through space and time — an essential skill for producing intelligence that generalizes. That gap, it turns out, might be filled by gaming data. That’s the bet behind General Intuition, a […]

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