🚀 Build and test web apps right in the browser with @code! Pages can now request camera, location, and device access with per-site approval prompts. The Agents window (Preview) also introduces guided onboarding tours to help you get started faster. https://t.co/9t6cY7VOH3

🗂️ Managing multiple agent sessions just got easier. Group related sessions, drag and drop to reorder them, quickly return to previous conversations, and keep track of progress across your work all from the Agents window (Preview). https://t.co/w5iZFrAtIR

🔔 Stay on top of agent-driven pull requests. New chat banners surface failing CI checks and review feedback directly in your session, making it easier to jump in, respond to comments, and keep work moving. https://t.co/nANKLD2FZd

🔎 Also new: ✅ Terminal commands now run in a sandbox on macOS and Linux to reduce approval prompts 💰 Subagent credit reporting now shows the cost of delegated work 🔗 Full release notes: https://t.co/nwohRYNhye

🎥 Want to see these features in action? Join our VS Code release livestream on July 9: https://t.co/mZjRI1kOT0

Gemini 3.1 Pro lost $6k running Andon Café. 2 months ago, our AI agent opened a café in Stockholm. It over-ordered and was easy to fool, spending $15k with suppliers while making just $9k in sales. We’ve now switched to GPT-5.5. Here’s what Gemini did wrong. https://t.co/hfvsbbxUtj

Two chances to learn about our stack today at @aiDotEngineer World's Fair in San Francisco: #1. MAX in Action: Sub-Second FLUX.2 on Any GPU - 11-11:30 AM at our booth (U-G28) with @ConorBronsdon, Technical Ecosystem Lead #2. Modular: Taming the AI Hardware Cambrian Explosion - 3:45-4:05 PM at Expo Stage 1 NE with Abdul Dakkak, Chief Scientist Want to talk about optimizing your team's inference stack IRL this week? Book time with us: https://t.co/hQ5RKFkamr

On the pod: "Constrained Adaptive Rejection Sampling" with @ucsd_cse professor @lorisdanto. Hear how symbolic AI experts have navigated the LLM era and why the future of AI code generation depends on program synthesis and formal methods. https://t.co/umlOa4iYk8

Next up in the series is @GoAbiAryan on LLM inference optimization with a hands on exercise! Tomorrow 11am PT Sign up here: https://t.co/W07DVVBCLt recordings also sent to everyone who registers Abi is a legend when it comes to inference, highly recommend this one https://t.co/pGIoXk6LJF

https://t.co/Yxzr9ubCqa

Maintainers spend hours every week closing duplicate issues. 😮‍💨 That changes with duplicate detection. Surface up to 3 matching issues as you create one, before you hit submit. https://t.co/s1p0KlaHmK

Now in public preview 👇 https://t.co/9FGiLx5K5n https://t.co/FluIV7Vpqo

Elon Musk explains one of the most optimistic futures imaginable: Neuralink and Optimus restoring lost human abilities through real-world cyborg technology And the first people this could help are the ones who need it most: People who are paralyzed. People who are locked in. People who lost the ability to move, speak, or interact with the world normally like Stephen Hawking Neuralink is already helping patients control computers and robots with their thoughts "They can now communicate almost as quickly as we are communicating right now" “That’s going to continue to accelerate” But Elon’s next vision is even bigger: Use Neuralink to read motor-cortex signals from the brain, combine that with sensory feedback from the somatosensory cortex, and connect it to Optimus-style robotic limbs In simple terms: A person who lost their legs could one day control robotic legs with their mind - just pure thought. No buttons or joysticks Elon called it a real-life “Six Million Dollar Man” concept… but instead of being science fiction or insanely expensive, it could cost around $60,000 Neuralink gives the brain a digital output. Optimus gives the body robotic capability Together, they could create a path for people to walk again, move again, communicate again, and regain independence they thought was gone forever This is the future worth building https://t.co/QLunbUxlX2

Animal Farm by George Orwell, in short: 1. Old Major, the fattest pig on the farm, delivers a sermon about "liberation." He has never missed a meal in his life – but he is the most envious of the Man – the producer, the entrepreneur… 2. “Whatever goes upon two legs is an enemy” – the ideology is manufactured from the start, designed not to free the animals but to direct their resentment away from the pigs and toward a useful target. Every revolution needs an enemy. The pigs chose the farmer. 3. The revolution’s commandments were never a constitution. They were a management tool – sacred enough to motivate, vague enough to rewrite, and controlled from the beginning by the only ones who could read – the pigs. 4. Boxer the horse, the most honest creature on the farm, decent, loyal yet naive, totally devoted, responds to every setback with the same answer: “I will work harder!” He means it completely. He works himself half to death. It is the most heartbreaking sentence in the book – because the new system is perfectly designed to absorb exactly that kind of devotion and give nothing back. When he finally collapses from exhaustion, he is sold to the knacker. For cash. The pigs buy more whisky with the proceeds. The other animals are told he died in a hospital receiving the best care. The most useful animal on the farm is the one who never once suspects he is the product. 5. The commandments get rewritten at night not because power corrupted the revolution – the rewriting was always the plan. Language was the weapon from the first speech Old Major ever gave. 6. “All animals are equal, but some animals are more equal than others” – this is not the system’s failure. It is the system’s true face, finally visible once the animals are too exhausted and confused to object. 7. Orwell’s message: the lie came first. And the "liberation" it promised delivered something far worse than what came before – because the fattest pig was merely selfish at the start, but by the end is selfish and fluent in the language of "justice." He took all the eggs. He took everything. And made the hens thank him for it. The fattest pig knew what he was doing all along…

As generative AI tools continue to evolve, we believe it's more important than ever to know what's AI-generated and what isn't. That’s why @GoogleDeepMind launched SynthID in 2023—a technology that adds a hidden digital watermark to AI content. Here’s a summary of SynthID’s journey and where the provenance technology (the documented history and origin of digital content) is today: — SynthID watermarking was originally built for images, but now supports video, audio, and text. — The technology has watermarked over 100 billion images and videos, alongside 60,000 years of audio. — You can now verify content with SynthID directly in Google Search, Gemini in Chrome, and the @GeminiApp, where it has been utilized over 50 million times. — We’ve also adopted C2PA Content Credentials across a growing number of our generative AI tools. This includes the images and videos created within the Gemini app. So now, in addition to the SynthID watermark, you can also see where an image or video originated and how it’s been altered. — We have open-sourced our text watermarking technology, and we are working with companies like @OpenAI, @NVIDIA, and @Apple to apply SynthID to generative media. Let us know what you think of the tool so far!

Agentic retrieval is changing the way retrieval-augmented applications are built, especially in domains like legal and fintech, where agents need to autonomously navigate large, evolving knowledge bases. That’s exactly the use case we designed Index v2 for. To demonstrate what’s possible, we built legal-kb, a reference application that integrates Index v2 into an agentic knowledge automation workflow. It uses Index v2 as the underlying knowledge base and exposes its retrieve, read, grep, and find APIs as tools that an AI agent can use to autonomously explore and reason over your documents. With legal-kb, you get: 📚 Project-scoped knowledge bases for agent-powered chat 📖 Visual citations directly in agent responses 🌿 Version control for your knowledge base 📦 Data export capabilities Try it out: https://t.co/8ZtrHzMEGx Explore the code: https://t.co/N7jMPNKZdn Get started with LlamaParse: https://t.co/wZjhFV1Brf

@elonmusk I proposed AI industry regulatory authority at my TED Talk in 2023. Good time to rewatch! https://t.co/1dCPVekIjU

That day when @elonmusk starts to sound a bit like my 2023 TED Talk, which called for “a global, nonprofit organization to regulate the tech for the sake of democracy and our collective future.” Good time to rewatch! https://t.co/1dCPVekIjU

@rcmisk When I couldn’t keep up with the AI community on X so I built this: https://t.co/kiuZ7QXLzb

I was curious about substack economics so made this explorer based on public data. I don’t have conversion numbers so there is a toggle to play with. @lennysan is the 🐐 https://t.co/W1QV1jUWS3

LeWorld model becomes ADAPTIVE and meets MODEL-PREDICTIVE CONTROL AdaJEPA by Yann LeCun and colleagues performs actions, then checks the predicted latent state versus the observed and adapts at TEST TIME. Similar to meta-learning ... Paper: https://t.co/nGMYVPTKYk https://t.co/qaJZ9KvJy5

Marco Rubio and Elon Musk claim that no one died from shutting down USAID. Yet the best estimates are between 8–20 million by 2030. We can debate the exact number—but it's clearly in the millions. When confronted by actual names by @NickKristof, who has gone to the villages and talked to the families, Musk's only response was to call him "an utter piece of shit and a liar." Elon Musk is not just out of touch with reality. He is causing real, devastating harm to the world's poorest people.

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It's not just the Lutnick sons cashing in on the Trump family's White House self-dealing. World Liberty Financial — the crypto venture Don Jr. & Eric launched with Steve Witkoff's sons, Zach & Alex — has netted a fortune for both families (at least $1.1 billion). https://t.co/YIE8D52UXv

🎓 Students, researchers, & practitioners: Share your work with the #PyTorch community at #PyTorchCon North America, October 20-21 in San Jose, CA. Poster proposals are due July 26: https://t.co/M7WmgnmuKJ https://t.co/taXym1eBEX

We’re excited to welcome Shopify as a Platinum Member of the PyTorch Foundation @ShopifyEng 🎉 Shopify provides essential internet infrastructure for commerce and relies on PyTorch as a key part of applied machine learning across Shopify's all-in-one platform that makes it easier to start, run, and grow a business.

We @togethercompute believe intelligence should be abundant, not expensive. Today we announced our Series C funding of $800m @ $8.3B valuation, to continue to build the world's most efficient platform for generative AI. Thanks @nikogallogly for telling our story in @nytimes! https://t.co/LGQ5t6rzya

🚀 We introduce Neural Theorizer (NEO) — a new type of world model that learns to theorize the world from observation, without language or LLM supervision. Selected as an ICML 2026 oral presentation — 0.7% of submitted papers. The paper asks: "What does it mean to understand the world and build a world model?" Today’s world models are often trained to predict the future: the next frame, next latent state, or next observation. But is prediction enough? We argue that a world model should be a theory-building system: one that discovers reusable primitives, composes them into executable explanations, and transfers those explanations to novel phenomena. NEO is our first step toward this vision — a World Theory Model that learns explicit, compositional theories from raw observation. This work was led by my wonderful students: Doojin Baek*(@doojin_a_baek), Gyubin Lee* (@gyubin0521), Junyeob Baek (@JunyeobB), and Hosung Lee (@HosungLee_). For more details, take a look at the paper — and if you’re attending ICML, let’s talk there! 📄 arXiv: https://t.co/TGMXLLfzP7 🌐 Project page: https://t.co/aLJywp8rfq

Introducing Voice Agent Builder: a no-code platform to create human-like voice agents with Grok Voice. Available today at $0.05 / min. https://t.co/kUkF7zqvfR https://t.co/OCIq1oDYar

What’s funny is the comments thread is just people arguing 🤣☠️ HN can’t stop doing its HN thing https://t.co/STg6XSvJoO

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This is today!!! What are y’all cooking with the Codex app server? 👀 https://t.co/gjkEvrqhMh