We've been tricked, again. Many of the thousands of bugs and vulnerabilities Mythos found are in older software are impossible to exploit. And the severe zero-day reports rely on just 198 manual reviews https://t.co/WhDRhTtCX2

https://t.co/NkCJFN3c9c

https://t.co/NkCJFN3c9c

Here is the list of NASA science missions that the Trump administration proposes to terminate. Note that it includes many missions that are already in space, fully operational. This is a wrecking operation against America. https://t.co/P9QFJM9gEr

I am a Web3 Ambassador at World Liberty Financial. There are 12 of us on the team page. 4 are named Trump. 3 are named Witkoff. The page calls us "the passionate minds shaping the future of finance." 600,000 wallets bought our memecoin. They lost $3.87 billion. The family collected $350 million in trading fees. It launched 3 days before the inauguration. 80% of the supply went to CIC Digital LLC and Fight Fight Fight LLC. I did not choose the names. I designed the allocation, the vesting, the timing, and the distance between the product and the President. The distance is my best work. I am the reason these events are unrelated. World Liberty Financial sends 75 cents of every dollar to DT Marks DEFI LLC. That is the family entity. Zero capital contributed. Zero liability assumed. I wrote this into the Gold Paper. Page 14. The lawyers bound it in white leather. The binding cost more than the due diligence. Justin Sun invested $75 million. He was facing SEC fraud charges. The SEC dropped the case. He is now our advisor. These events are unrelated. Changpeng Zhao pleaded guilty to federal money laundering violations. He received a presidential pardon. The SEC dropped its lawsuit against his exchange the same week we listed our stablecoin. Then the exchange settled a $2 billion deal entirely in that stablecoin. These events are unrelated. Arthur Hayes, Benjamin Delo, and Samuel Reed of BitMEX pleaded guilty to Bank Secrecy Act violations. All 3 received presidential pardons. Then the company itself was pardoned. $100 million in fines. Gone. An American first. These events are unrelated. Sheikh Tahnoun of Abu Dhabi paid $500 million for a 49% stake that was never publicly disclosed. Then the administration approved semiconductor exports to his companies over national security objections. These events are unrelated. Everything is unrelated. I track the unrelatedness on a dashboard I built. The dashboard has 7 columns now. I am proud of the dashboard. On May 22nd, 220 people paid a combined $148 million to eat dinner with the America First president. Over half were foreign nationals. Justin Sun paid $18.5 million for the first seat. He visited the Executive Office Building the day before. I designed the seating chart. I put it on the Investor Confidence page. That page is doing well. The team page lists 3 Witkoffs. All 3 are Co-Founders. Steven Witkoff is the President's Middle East envoy. He testified as a character witness at the President's fraud trial. His son Zach runs the crypto operation. His son Alex is also a Co-Founder. I have not been told what Alex co-founded. The father runs the diplomacy. The sons run the platform. The family runs both. That is organizational efficiency. Barron is 19. His title is Web3 Ambassador. The same as mine. Donald Jr. called the conflicts of interest "complete nonsense." Eric launched a Bitcoin mining company called American Bitcoin. America First. The mining partner is Hut 8. Hut 8 was founded in Canada. America First means the name. On March 6th, the President signed Executive Order 14233 creating a Strategic Bitcoin Reserve. The order directs the government to hold Bitcoin. The President's family holds billions in Bitcoin. The executive order appreciates the President's assets by presidential decree. I did not write the executive order. I made sure it looked unrelated to the portfolio. Trump Media put $2 billion of Bitcoin on its balance sheet. The ticker symbol is DJT. His initials. The press secretary said it is absurd to insinuate the President profits off the presidency. Forbes calculated his crypto holdings exceed the combined value of Mar-a-Lago and Trump Tower. I would call that absurd too. That is my job. 600,000 wallets bought in. 1 of them asked why she could not withdraw her funds. I told her the protocol was experiencing dynamic market conditions. She asked what that meant. I sent her the Gold Paper. She said she had read the Gold Paper. I muted her channel. Dynamic means the conditions change. The condition that changed was her access. A congressman called us the world's most corrupt crypto startup operation. We put it on a coffee mug. Ironic merchandise. $45. The revenue split on the mug is also 75/25. My own tokens vest on a different schedule. I wrote that schedule. That is not in the Gold Paper. The memecoin funds the family. The family funds the platform. The platform funds the stablecoin. The stablecoin funds the deals. The deals require the pardons. The pardons free the partners. The partners fund the platform. The President signs the executive orders. The executive orders inflate the assets. The assets fund the family. I am the reason these events are unrelated.

A new PyTorch-native backend is coming to unlock the power of Google TPUs: ✨ Run existing PyTorch with minimal code changes. ✨ Get a 50-100%+ performance boost with Fused Eager mode. Read the engineering deep dive here: https://t.co/GQPRYaKz7E #TorchTPU #PyTorch #MLOps #AI https://t.co/HiIdXVw6Oh

I strongly suspect that Claude Mythos is a looped language model, as described in the paper "Scaling Latent Reasoning via Looped Language Models" from ByteDance The authors of that paper called out graph search as one of the areas where looping provides a huge theoretical advantage over standard RLVR. And look at where Mythos blows out its competitors the most

AI is transforming software development, but more code means more pull requests, more edge cases, and more QA pressure on engineering teams. Tusk, a Y Combinator startup, catches bugs that slip past both AI agents and humans using AI-enabled tests based on real production traffic. Built on Amazon Bedrock, Tusk flags issues before code merge so teams can focus on building great products.

PyTorch Foundation is expanding its #OpenSourceAI stack with #Safetensors, #ExecuTorch, and #Helion to improve model security, inference, and performance portability, writes Meredith Shubel for @thenewstack. @sparkycollier: Bringing Safetensors into the fold is “an important step towards scaling production-grade AI models.” ExecuTorch becomes a part of #PyTorch Core to expand on-device inference capabilities. Safetensors and Helion join @vllm_project, @DeepSpeedAI, and @raydistributed as foundation-hosted projects. Read Meredith Shubel’s coverage at @thenewstack here: https://t.co/ZoyWbP6Vji @huggingface @Meta

🫱 Introducing 𝐍𝐞𝐮𝐫𝐚𝐥 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫s: 𝐰𝐡𝐚𝐭 𝐢𝐟 𝐀𝐈 𝐝𝐨𝐞𝐬 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐮𝐬𝐞 𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫𝐬 𝐛𝐞𝐭𝐭𝐞𝐫, 𝐛𝐮𝐭 𝐛𝐞𝐠𝐢𝐧𝐬 𝐭𝐨 𝐛𝐞𝐜𝐨𝐦𝐞 𝐭𝐡𝐞 𝐫𝐮𝐧𝐧𝐢𝐧𝐠 𝐜𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐢𝐭𝐬𝐞𝐥𝐟? Beyond today's conventional computers, agents, and world models, Neural Computers (NCs) are new frontiers where computation, memory, and I/O move into a learned runtime state. We ask: whether parts of runtime can move inward into the learning system itself. This is our first step toward the Completely Neural Computer (CNC): a general-purpose neural computer with stable execution, explicit reprogramming, and durable capability reuse. Work done with Mingchen Zhuge (@MingchenZhuge), Changsheng Zhao, Haozhe Liu (@HaoZhe65347 ), Zijian Zhou (@ZijianZhou524 ), Shuming Liu (@shuming96 ), Wenyi Wang (@Wenyi_AI_Wang ), Ernie Chang (@erniecyc ), Gael Le Lan, Junjie Fei, Wenxuan Zhang, Zhipeng Cai (@cai_zhipeng ), Zechun Liu (@zechunliu ), Yunyang Xiong (@YoungXiong1 ), Yining Yang, Yuandong Tian (@tydsh ), Yangyang Shi, Vikas Chandra (@vikasc), Juergen Schmidhuber (@SchmidhuberAI)

A "Neural Computer" is built by adapting video generation architectures to train a World Model of an actual computer that can directly simulate a computer interface. Instead of interacting with a real operating system, these models can take in user actions like keystrokes and mouse clicks alongside previous screen pixels to predict and generate the next video frames. Trained solely on recorded input and output traces, it successfully learned to render readable text and control a cursor, proving that a neural network can run as its own visual computing environment without a traditional operating system. https://t.co/roTpqsdrEE Cool work by @MingchenZhuge @SchmidhuberAI et al.!

先日、防衛省防衛研究所（NIDS）の研修員の皆様にご来社いただきました！🐟✨ 弊社、防衛・インテリジェンス部門の佐藤と石井が登壇し、最先端のAI動向をはじめ、当社の防衛およびインテリジェンス領域への取り組みをご紹介しました。 現場ならではの鋭いご質問も多く飛び交い、私たちも身が引き締 まる思いでした。 AIの力で、これからの国の安全にどう貢献できるかを共に考える、大変貴重な時間となりました。

I wrote this early this morning and I wasn't sure if I would actually publish it, but here it is: https://t.co/7Dw9UFpeep

A new alliance is forming to secure software in the AI era. Initiatives like Project Glasswing are bringing together players such as Amazon Web Services, Microsoft, Google and NVIDIA to identify vulnerabilities and strengthen defenses. The signal is clear. As AI advances, security is becoming a shared responsibility at the highest level. https://t.co/O2Rh1GOOh1 @AnthropicAI

AI is moving from assisting science to running it. Systems can now design and execute thousands of biological experiments autonomously, accelerating discovery far beyond human speed. The gap is growing. Capability is advancing faster than governance, and biology may feel the impact first. https://t.co/V41B2YVgsZ @ConversationUS

Meta is putting its superintelligence push to the test. Its new model Muse Spark shows competitive performance in language against OpenAI, Google and Anthropic, but still trails in coding. It highlights the reality of the race. Progress is visible, but leadership is uneven across capabilities. https://t.co/7DVVnha7Gg

Adoption of #SmartGlasses will be driven by utility usecases powered by #AI. This is one of the main topics I discussed with @Inna_Sparrow in a recent interview at the XR AI Spotlight podcast. Many of her lenses focus on useful applications of this technology, like the Bookworm lens you see in this video, which lets you identify a specific book and even "talk with the author" to ask questions about the content. We also talk about the current capabilities and limitations of @Spectacles How to design interactions that feel natural and responsive. Stay tuned for the episode coming up soon 😉

Just check out the boxer model — the latency (20–40ms) and the generalization are also pretty impressive. Huge congrats to Daniel and the other authors! If you're interested in open-world 3D detection for outdoor/in-the-wild scenarios, also check out our WildDet3D 👇 https://t.co/vgzFblAdQD. Thinking about training Boxer with WildDet3D data to do 30fps in-the-wild 3D tracking.

Pika just enabled in-platform monetization. If you want to use agents to earn real money, here are some ideas in thread - relatable for many creators following me here 🧵: https://t.co/5JXRdmPrZr

10m/s!! Unitree Breaks the World Record Again😊 With the physique of an ordinary person, running at a world champion’s speed! Leg length: 0.4+0.4=0.8m, body weight: approx. 62kg! H1: “Give me one more chance, give the world one more honor!” https://t.co/Fk4Zo9zKit

Introducing LPM 1.0 — a video-based character performance model that speaks, sings, listens, reacts, and emotes in real time. - Generating full-duplex conversation, identity-consistent infinite-length generation, and nuanced human-like performance. - Building across a co-designed data pipeline, Base model, Online model, and streaming inference optimization. - Key advantages over other video generation models: performance quality, emotional conversation, precise lip-sync, identity preservation, and lifelike naturalness. Turning an image into a performance video, LPM 1.0 serves as a visual engine for conversational agents, live streaming characters, and game NPCs. Page: https://t.co/Ve2c2YNuqj Arxiv: https://t.co/cM54T3KSPs

While I was at Costco my agent read everyone in AI community and rounded up the week: https://t.co/kiuZ7QXLzb Curation is dead. :-)

@GoogleAIStudio A new way to read the AI community here on X: https://t.co/kiuZ7QXLzb Builds a script for Notebook LM automatically so you can make a podcasst out of the news.

NEW paper from Meta. (bookmark this one) What if the model wasn't just using the computer, but became the computer? New research from Meta AI and KAUST makes a serious case for Neural Computers (NCs). The paper proposes NCs as learned runtimes where computation, memory, and I/O live inside a single latent state. Their first prototypes use video models to roll out terminal and GUI interfaces from prompts, pixels, and user actions. Why does it matter? Today's agents still depend on external computers to store state, execute actions, and enforce system contracts. Neural Computers point to a different machine form: one where interface dynamics, working memory, and execution are learned together. The early results are promising but grounded. CLI rendering improves, GUI cursor control reaches 98.7% with explicit visual supervision, and reprompting boosts arithmetic-probe accuracy from 4% to 83%. But symbolic reliability, stable reuse, and runtime governance remain open. This is less "agents got better" and more "what comes after agents as a computing substrate?" Paper: https://t.co/CKdclokmer Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

One great outcome of PaperWiki is personalized surveys. Survey papers continue to be one of the best ways to track a field. My agents are now generating personalized surveys on topics using my paper LLM-generated knowledge base. Self-improving and always up-to-date as new papers are published. Love how these topic wiki pages are evolving. One of my favorite views so far, but there is a lot more to do here. Plan to share these with our students at the @dair_ai Academy so their agents can work on the frontier too. Stay tuned!

🚨 OpenAI is quietly turning the Mac Codex app into an all-in-one platform Chat + Codex + OpenClaw, all under one roof. > Foundation for rendering and reading images + video > Heartbeat system (like OpenClaw) > Model and thinking mode selection per task (like an OpenClaw agent manager) > UI changes to make Codex less "for coders" and more universal They're using the Codex app as the base and building everything on top of it. (h/t @MsRFlorida for the breakdown)

Introducing Latent Briefing, a way for agents to quickly share their relevant memory directly. Result: 31% fewer tokens used, same accuracy. Multi-agent systems are powerful, but can be wildly inefficient. They pass context as tokens, so costs explode and signal gets lost. We built an algorithm that allows agents to communicate KV cache to KV cache.

Still at the office. https://t.co/zbhqhUeSr6

Look ma new Codex Updates! 0.119.0 and 0.120.0 are here. And with it, a HUGE number of quality of life updates and bug fixes! > Hooks now render in a dedicated live area above the composer. They only persist when they have output, so your terminal stays clean. If you're running PreToolUse or PostToolUse hooks, this is a huge readability win. > Hooks are now available again on Windows > CTRL+O copies the last agent output. Small but clutch when you're pulling a code block into another file or chat. > New statusline option: context usage as a graphical bar instead of a percentage. Easier to glance at mid-session when you're trying to gauge how much runway you have left. > Zellij support is here with no scrollback bugs. If you've been stuck on tmux just because Codex was broken in Zellij, you're free now (shout out @fcoury) > Memory extensions just landed. The consolidation agent can now discover plugin folders under memories_extensions/ and read their instructions.md to learn how to interpret new memory sources. Drop a folder in, give it guidance, and the agent picks it up automatically during summarization. No core code changes needed. This is the first real extension point for Codex's memory system, and it opens the door for third-party memory plugins. > Did you know, you can /rename a thread? But what's really cool about that is, after you rename it, you can resume it with the same name, no more UUIDs. codex resume mynewapp or directly from the TUI: /resume mynewapp > Multi agents v2 got an update to tool descriptions More reliable multi agent environments and inter agent communication > You can now enable TUI notifications whether Codex is in focus or not. Modify this in your config: [tui] notification_condition = "always" > MAJOR overhaul to Codex MCP functionality: 1. Codex Tool Search now works with custom MCP servers, so tools can be searched and deferred instead of all being exposed up front. 2. Custom MCP servers can now trigger elicitations, meaning they can stop and ask for user approval or input mid-flow. 3. MCP tool results now preserve richer metadata, which improves app/UI handoff behavior. 4. Codex can now read MCP resources directly, letting apps return resource URIs that the client can actually open. 5. File params for Codex Apps are smoother: local file paths can be uploaded and remapped automatically. 6. Plugin cache refresh and fallback sync behavior are more reliable, especially for custom and curated plugins. > Composer and chat behavior smoother overall, resize bugs remain though. > Realtime v2 got several significant improvements as well. > You're still reading? What a legend. 🫶 npm i -g @openai/codex to update

OpenAI is working on a new experimental feature for Codex called Scratchpad. Users will be able to start multiple Codex chats from a TODO list view, which will be executed in parallel. It will become very instrumental in the upcoming Codex Superapp, where you will be able to trigger a broader range of tasks to achieve your goals. * Not available yet 👀

Which hat should I wear today https://t.co/jBf5eyBGTx

https://t.co/guwZR1tGte