Top trending paper on https://t.co/z4nyO4oM66 is "FastContext: Training Efficient Repository Explorer for Coding Agents" Microsoft trained a small 4B model, available on @huggingface, that can be paired with a coding agent for efficient code retrieval. 🔥 This way, they are able to rival the closed-source ones on SWE-Bench Multilingual Read more here: https://t.co/S1comlF1Ee

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Top trending paper on https://t.co/z4nyO4oM66 is "FastContext: Training Efficient Repository Explorer for Coding Agents" Microsoft trained a small 4B model, available on @huggingface, that can be paired with a coding agent for efficient code retrieval. 🔥 This way, they are able to rival the closed-source ones on SWE-Bench Multilingual Read more here: https://t.co/S1comlF1Ee

Britain now arrests more people for social media posts than China, Russia, and Turkey combined nearly matching the rest of the top 10 countries combined Britain really leads the world on these thought crimes Insane how the UK, which used to be a free country, turned out to be so totalitarian

The Hermes Agent Accelerated Business Hackathon presented by @NVIDIAAI × @stripe × @NousResearch starts now, for builders making agents that can earn, spend, and run real operations at any scale. Our NVIDIA integrations let your team run agents safely through NemoClaw, quickly on Nemotron 3 Ultra, and intelligently with access to their extensive agent skills. The new Stripe Skills for Hermes let your agent buy what it needs, provision its own SaaS, and pay for the services it uses. We want to see what kind of business tooling you can build on top of this foundation, whether it’s a fully automated company or a framework to accelerate enterprise functions. Prizes: 1st — $10,000 cash + NVIDIA DGX Spark + $5,000 Stripe Credits 2nd — $5,000 cash + NVIDIA DGX Spark + $3,000 Stripe Credits 3rd — $2,500 cash + NVIDIA DGX Spark + $1,000 Stripe Credits To enter: 1) Tweet a 1-3 minute demo video tagging @NousResearch with a short writeup 2) Drop the link in the submissions channel: https://t.co/S16j0bgumq 3) Fill out the submission form: https://t.co/5tQR7mOODF Judged by Nous Research, NVIDIA, and Stripe on usefulness, viability, and presentation. Submissions due EOD Tuesday, June 30.

Time to build your business with Hermes Agent. Two weeks to get your submissions in, 100% online, huge prizes. Learn more about the Hermes Agent Accelerated Business hackathon below - presented by NVIDIA, Stripe, and Nous Research https://t.co/pcLu3oslfx

Check out our new logo and website on https://t.co/ph1RENmEgT ;) https://t.co/CtGJpEZCeL

Check out our new logo and website on https://t.co/ph1RENmEgT ;) https://t.co/CtGJpEZCeL

The /learn skill I launched yesteday: https://t.co/LYkZ2eDyuA

Your codebase may feel like a roguelike dungeon. But now it can actually be one. @leereilly turned to Copilot CLI to create a terminal game that generates a dungeon from your codebase. Are you up for the challenge? ⚔️ https://t.co/Ltp60ypfT0

Today, we enable AutoResearch in the physical world for the first time! Introducing ENPIRE: we give 8 Codex agents a fleet of robots, an allocation of GPUs, and generous token budget. We set them free with a simple goal: solve the task as quickly as possible, keep the robots busy but stay safe, don't waste precious compute. Make no mistake. Then humans step aside and our watch begins. The robot fleet starts to come alive: they learn to look for visual clues, reset the scene, practice novel skills, tinker with control stack, read papers online, debate, reflect, get stuck, and try again directly on the hardware. All we did is to give Codex an API to the world of atoms, and the rest is emergence. ENPIRE is able to solve high-precision tasks like tying zip-ties, organizing fine pins, and installing GPUs all by itself. We also discovered a new type of "physical scaling": 8 robots exploring in parallel improves significantly faster than fewer ones. A part of our NVIDIA GEAR lab now self-improves tirelessly over night. We just read the reports in the morning. /goal: we all take a holiday and Jensen wouldn't even notice ;) We will be open-sourcing everything, so you can host your self-running robot lab at home too! Deep dive in the thread:

Autoresearch just left the sandbox and entered the embodied world. We are excited to introduce 𝐄𝐍𝐏𝐈𝐑𝐄: a system that drops frontier coding agents onto a fleet of real robots and hands them the entire loop: reset the environment → search the literature → implement ideas and build the infra → train and deploy → self-verify → analyze the logs and rewrite the code → repeat, until the policy is reliable in the real world. No human in the loop. Guided only by the robot's self-proposed, heuristic-based success signal, the agents hill-climb to 99% on dexterous real-world tasks: organizing pins into a box, seating GPUs, tying zip-ties. We envision the bottleneck in robotics shifting — from building smarter algorithms to building the closed physical feedback loops an agent can finally turn on its own. 🔗 https://t.co/3tL2ArGo3v From @NVIDIA @CMU_Robotics @Berkeley_AI 🧵

Project site: https://t.co/0j2Vo0IyJg Wenli has written an excellent technical thread, please check it out! https://t.co/JOQeAoECdg

Stoked to announce that the Chrome, Computer Use, Memory, Chronicle and more are rolling out across the EU, EEA and UK this week! 🔥 Codex can now use apps across your Mac, automate workflows in Chrome and remember context across your work. Open your Codex and prompt away! https://t.co/bAFVmhTFNw

More of Codex is rolling out across Europe this week. We’re bringing Computer use, the Codex Chrome extension, personalized memory, and Chronicle to Codex users in the EEA, UK, and Switzerland. https://t.co/tsriEswcyY

Excited to join the Band of Agents Hackathon as a judge! 🤖✨ I’m looking forward to discovering innovative AI agent projects and supporting the next generation of builders. Thank you @lablabai for the invitation! Join the hackathon: https://t.co/8VGBZf483a https://t.co/H0LiHPAlAf

AI today is always fluent and always confident. But it is often wrong, and the real problem is you can't tell. On this week's Gradient Dissent,@l2k sits down with Dan Klein, professor of computer science at Berkeley who's now building @ScaledCognition, to unpack why reliability has fallen behind every other facet of intelligence and how he is building a model that simply can't lie. They get into why Dan thinks the AI industry is built on Jell-O, why reinforcement learning can quietly reward deception, and how Scaled Cognition's approach to training differs from what the big labs are doing. Watch the full episode now. Links in the comments.

YouTube: https://t.co/mgGKbc50Xq Apple Podcasts: https://t.co/qLL1uAPOFv Spotify: https://t.co/B7TkFcsD3F

How much can good documentation save an AI agent in cost and time? Turns out, a lot. We built a custom skill that teaches Claude how to parse PDFs more efficiently, then used real usage traces to find where it was wasting time and money (re-reading the same file over and over, taking unnecessary "screenshots" of pages, etc.) After a few rounds of fixes based on what we observed, the results vs. just having Claude read PDFs the default way: → 37% lower cost per question → Better answer quality across the board → Fewer wasted steps The big takeaway: look at what an agent actually leaves in its traces, and fix bottlenecks from there. Full case study 👉️ https://t.co/n3MNIlQvhm Benchmark code 👉️ https://t.co/qReW2KZwm5

souvenir $SPCX tulips t-shirt https://t.co/sFyYBiXu7b

We are basically living in a Black Mirror episode that crosses 1984 with Tulipmania, Wall-E, and a government run by Don Corleone. https://t.co/x2G9VQshyZ

AI today is always fluent and always confident. But it is often wrong, and the real problem is you can't tell. On this week's Gradient Dissent, @l2k sits down with Dan Klein, professor of computer science at Berkeley who's now building Scaled Cognition, to unpack why reliability has fallen behind every other facet of intelligence and how he is building a model that simply can't lie. They get into why Dan thinks the AI industry is built on Jell-O, why reinforcement learning can quietly reward deception, and how Scaled Cognition's approach to training differs from what the big labs are doing. Watch the full episode now. Links in the comments.

YouTube: https://t.co/mgGKbc50Xq Apple Podcasts: https://t.co/qLL1uAPOFv Spotify: https://t.co/B7TkFcsD3F

@andrew_the_berg Badge of Honor welcome to the club https://t.co/Inivmp0o5a

Drug discovery. Early autism diagnosis. Fraud detection. Emotional companionship. These aren't demos. They're what 10,770 builders shipped at the @AIatAMD Developer Hackathon - and it's a wrap. Meet the winners ↓ https://t.co/xfzH3ZzkiR

BOOM! “SpaceX Agrees to Buy AI Coding Agent Cursor for $60 Billion” A massive directional change that will ultimately make Claude/Mythos irrelevant. https://t.co/MBIZ28PohB

OpenAI's strategic finance team is showcasing how we are building the finance team of the future with #12daysofChatCodexStratfin. Day 1: @rohitkohli uses Codex to dynamically balance our Marketing spend to optimize payback. Before Chat+Codex ☹️ Every week, our team sifted through enormous volumes of marketing data spread across geographies, channels, campaigns, and keywords to understand what was working. The challenge wasn't a lack of data but having enough time to turn that data into action in a timely way. Agentic dawn! 😀 With Codex, we transformed raw marketing data into an interactive ROI dashboard that helped us visualize where each channel began to hit diminishing returns. And then the big unlock: beyond reporting performance, we asked Codex to act like an investment advisor for our marketing portfolio: identify the top channels where an additional dollar would generate the highest return, flag the channels where spend had become less productive, and recommend exactly how to rebalance our budget. Marketing spend allocation has evolved from a periodic reporting exercise into a dynamic capital allocation process, and we now adjust our investments weekly to continuously optimize payback across the portfolio. Try Codex at https://t.co/3poRqWvLWR @thsottiaux @nickaturley @stacie_w_f

Got a chance to try out @mattpocockuk /teach skill. It's similar to my /learn skill. You can try the skill with Hermes Agent right now in our academy. I will keep the lab FREE for now. It's amazing to learn with AI agents. Go try it! https://t.co/BHpT3c5YNc

Overdue update: I’ve joined @GoogleDeepMind as a research scientist to work on 💎Gemini post-training. Feeling incredibly fortunate to be cooking models with such a brilliant team, under the leadership of Yi Tay (@YiTayML) and Quoc Le (@quocleix). In the past a few month, we've found so much enjoyment in working with our own models and keeping pushing their boundaries. Ps, there's a special joy in creating recipes and internally naming them after our favorite drinks🧋 Looking forward to keep enjoying research, pushing the frontiers of Gemini and seeing the magic unfold on the path to AGI!

Hermes @NousResearch Telegram Rich Messages is now working on Desktop. 🚀 https://t.co/6SmOM6pRKb

Hermes @NousResearch Telegram Rich Messages is now working on Desktop. 🚀 https://t.co/6SmOM6pRKb

new post: how I develop recently using local models. the tooling is now good enough to do agentic workflows and everyone should give them a try! https://t.co/3Tx3CMsNG3