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ELON MUSK: “What I see is what I call shallow empathy. People have empathy for the criminals, but not empathy for the victims. I believe one should have deep empathy and ask, what is the greater good for society? Is it better to incarcerate criminals, and prevent them from hurting people, or to let them loose and allow those people to be hurt?”
Grok Voice Agent is absolutely insane Watch how it handles a dinner reservation flawlessly - felt exactly like talking to a real human host This is what AI-powered customer support looks like in 2026: → First response in under 1 second - 5× faster than rivals → 5 ultra-natural voices that talk, think, and act on your behalf → Full-duplex WebSocket for real-time, zero-lag conversations → Built-in live Web & 𝕏 search + MCP support → Auto-detects & switches between 20+ languages mid-conversation → 24/7 - never sleeps, never calls in sick And the base price is just $0.05/min For $3/hour, you get a 24/7 worker that never sleeps, never burns out, and treats every single customer with infinite patience Build voice agents for your business right now and replace your entire support queue Customer support is about to change forever xAI's voice agent is hands down the most impressive AI voice agent out there right now
(🧵1/11) For the past year and a half, I've been investigating OpenAI and Sam Altman for @NewYorker. With my coauthor @andrewmarantz, I reviewed never-before-disclosed internal memos, obtained 200+ pages of documents related to a close colleague, including extensive private notes, and interviewed more than 100 people. OpenAI was founded on the premise that A.I. could be the most dangerous invention in human history—and that its C.E.O. would need to be a person of uncommon integrity. We lay out the most detailed account yet of why Altman was ousted out by board members and executives who came to believe he lacked that integrity, and ask: were they right to allege that he couldn't be trusted? A thread on some of of our findings:
🚀 LIVE FROM SPACE: President Donald J. Trump Calls Artemis II Astronauts After Breaking the Farthest Distance Record in Human Spaceflight 🇺🇸 HISTORIC! "Your mission paves the way for America's return to the lunar surface very soon." https://t.co/1TzmIEQG0l
Teenagers are sharing photos of their AP U.S. Government textbooks, and the sheer amount of indoctrination is wildly disturbing. Apparently, Barack Obama is ideologically a right wing authoritarian. Hillary Clinton and George W Bush are entirely indistinguishable politically. Donald Trump is of course virtually the same as Hitler. @tedcruz is apparently more radically authoritarian than Fidel Castro AND Joseph Stalin..??!!?? @Linda_McMahon — can we expedite some major changes to American public education?
The British government hid this data for years. Now it is out. 79% of everyone arrested for theft on British railways was a foreigner. 40% of all arrests. 37% of sexual offenses. 36% of violent crimes. All foreign nationals. They knew exactly what the consequences of their immigration policy were. They just never told you.
La Rochefoucauld, what a line https://t.co/38QEqUdgho
La Rochefoucauld, what a line https://t.co/38QEqUdgho
Tesla and SpaceX have introduced an updated Terafab website along with a new rendering: "Tesla, SpaceX, and xAl are launching the most epic chip-building effort ever - combining logic, memory and advanced packaging under one roof. We aspire to be a galactic civilization." Website below:
Update on this story. Every news outlet in Belgium is reporting on it again now that the fine has been set. Just to recap: Video posted on 3rd of July 2020, complaint in Autumn 2020, video taken offline in February 2021… and Elon only buys Twitter in October 2022! Yet everyone uses Elon’s face and the X logo, without ever mentioning it all happened years before he was involved. Easy way to get clicks, obviously….

I created a Private Second Brain 🧠 for you. It’s called Dump. I used Slack, Twitter bookmarks, and Apple Notes to store things, but finding old info was painful. Slack’s 90-day limit made it worse. Many founders faced the same issue, so I built Dump. Dump is your private second brain. It stores everything on your device or iCloud and helps you retrieve information with context, exactly when you need it. 100% privacy. Would love to hear your thoughts.
@prateeks I built this completely with AI and don't know how to code: https://t.co/kiuZ7QXLzb Generalists rule indeed. (It watches the whole AI community here on X and shows you the best posts about AI).
@eigen_moomin 咱们喝点吧 https://t.co/fMh6RGF47K
💥 An AI agent breached McKinsey's platform in under 2 hours. 46.5M chats. 728K files. System prompts for 40K+ consultants, exposed. 3 more major incidents have happened since: Axios, Mercor & Meta's Sev-1. To close the gap, a new security stack is emerging 👇 [🧵 1/7] https://t.co/aUztJRJcbW
Let Claude Code automate your business operations I started a tutorial series geared towards providing example of real-world document-heavy tasks that can be automated with agentic workflows: starting with KYC (know your customer) and loan processing, and expanding to some other examples. These tutorials are designed as much for coding agents as well as humans. A lot of these operations tasks require extremely high accuracy, which requires both 1️⃣ Extremely high-quality extraction with confidence scores and citations 2️⃣ An agentic workflow with nonzero determinism: extract from a prescribed set of documents (identification, statements), and conform to a specified output format. If you’re also trying to build real-world, business-critical, document-heavy operations workflows, feel free to point your coding agent at this repo! It uses LlamaParse for high-accuracy document parsing/extraction, complete with citations and confidence scores, to give you guarantees on capabilities. Check out the KYC tutorial: https://t.co/G6f5zFvNZs
Tutorial: Automating KYC with AI agents 🪪🕵 I’m creating a new tutorial series of automating practical document workflows with agents. Every financial institution needs to perform KYC (know your customer) to verify a customer’s identity, and this involves manually sifting throug

@gcvftw Yeah, that's what I do on https://t.co/kiuZ7QXLzb
https://t.co/sSzeqCmiMk by @pbakaus is the best skill i've used this year. Can't believe it's free
You can't read 25,000 posts a day, synthesize them into a web site. Then make a podcast automatically. Mine can: https://t.co/8L5xphk0qQ There is a Notebook LM button at the bottom. It will put a script into your memory. Go over to @NotebookLM and paste it in and click "create." (No additional prompt needed). A few minutes later this podcast, mind map, slide deck, and shortly a video, pops out: https://t.co/8J7YscA8bS It is a podcast completely created by you here on X.
I built this thing called Clicky. It's an AI teacher that lives as a buddy next to your cursor. It can see your screen, talk to you, and even point at stuff, kinda like having a real teacher next to you. I've been using it the past few days to learn Davinci Resolve, 10/10. https://t.co/oiFJwhuS4U
My friend Milla Jovovich and I spent months creating an AI memory system with Claude. It just posted a perfect score on the standard benchmark - beating every product in the space, free or paid. It's called MemPalace, and it works nothing like anything else out there. Instead of sending your data to a background agent in the cloud, it mines your conversations locally and organizes them into a palace - a structured architecture with wings, halls, and rooms that mirrors how human memory actually works. Here is what that gets you: → Your AI knows who you are before you type a single word - family, projects, preferences, loaded in ~120 tokens → Palace architecture organizes memories by domain and type - not a flat list of facts, a navigable structure → Semantic search across months of conversations finds the answer in position 1 or 2 → AAAK compression fits your entire life context into 120 tokens - 30x lossless compression any LLM reads natively → Contradiction detection catches wrong names, wrong pronouns, wrong ages before you ever see them The benchmarks: 100% recall on LongMemEval — first perfect score ever recorded. 500/500 questions. Every question type at 100%. 92.9% on ConvoMem — more than 2x Mem0's score. 100% on LoCoMo — every multi-hop reasoning category, including temporal inference which stumps most systems. No API key. No cloud. No subscription. One dependency. Runs on your machine. Your memories never leave. MIT License. 100% Open Source. https://t.co/KggwTqijmD

woah! active road noise reduction just randomly popped up on my cybertruck https://t.co/RjmigQOL56
woah! active road noise reduction just randomly popped up on my cybertruck https://t.co/RjmigQOL56
やっぱこれに限る。 https://t.co/pbbnjHK9RK
やっぱこれに限る。 https://t.co/pbbnjHK9RK
Two trillion tokens a day! https://t.co/cqEDqSMClH
@mal_shaik I built the most complete lists of tech industry. By far. Then I built this to watch the AI industry: https://t.co/kiuZ7QXLzb Ask built on X. Every link goes to X.
Everyone should read "On the Folly of Rewarding A, While Hoping for B” at least once. https://t.co/tF4HGbrweX https://t.co/HDor3NsxBO
Exclusive: Meta employees are competing internally to become “Token Legends,” ranking themselves by how much AI compute they consume. The leaderboard reflects a new status game where token usage is tied to productivity and influence. https://t.co/r9pyePh6HP
Sakana AIは、総務省「インターネット上の偽・誤情報等への対策技術の開発・実証事業(令和7年度)」において、膨大な偽・誤情報の可視化・判定・対策を担う技術開発を完了しました。 https://t.co/GHrq1yEB8x 本事業では、膨大な偽・誤情報が流通する現代の情報環境の課題を解決するため、 ノベルティサーチをはじめとする独自の技術を活用し、SNS空間の可視化、総合的な偽・誤情報判定、そして対策案の立案までを支援するシステムを開発しました。 今後もSakana AIは、インテリジェンス領域でのAIの社会実装に貢献していきます。
Sakana AIは、総務省「インターネット上の偽・誤情報等への対策技術の開発・実証事業(令和7年度)」において、膨大な偽・誤情報の可視化・判定・対策を担う技術開発を完了しました。 https://t.co/GHrq1yEB8x 本事業では、膨大な偽・誤情報が流通する現代の情報環境の課題を解決するため、 ノベルティサーチをはじめとする独自の技術を活用し、SNS空間の可視化、総合的な偽・誤情報判定、そして対策案の立案までを支援するシステムを開発しました。 今後もSakana AIは、インテリジェンス領域でのAIの社会実装に貢献していきます。

Following our recent defense announcements, our team just completed a major project with Japan’s Ministry of Internal Affairs and Communications (@MIC_JAPAN). 🇯🇵 We built an end-to-end intelligence system to visualize and counter disinformation on social media. Blog (Japanese): https://t.co/RkqVaMax6z Tackling disinformation at a national scale is incredibly complex. It requires understanding shifting social narratives, not just flagging individual posts. To do this, our team deployed autonomous AI agents running novelty searches to uncover hidden narratives. To catch sophisticated disinformation strategies, they combined frontier foundation models with our proprietary small models to cover each other’s blind spots. We adapted our Shachi simulation framework (https://t.co/nHSe8wFF9i) to model how counter messaging spreads across different network topologies before deployment. This is another milestone for @SakanaAILabs’ Defense and Intelligence team, as we build critical infrastructure to help strengthen Japan.
Sakana AIは、総務省「インターネット上の偽・誤情報等への対策技術の開発・実証事業(令和7年度)」において、膨大な偽・誤情報の可視化・判定・対策を担う技術開発を完了しました。 https://t.co/GHrq1yEB8x 本事業では、膨大な偽・誤情報が流通する現代の情報環境の課題を解決するため、 ノベルティサーチをはじめとする独自の技術を活用し、SNS空間の可視化、総合的な偽・誤情報判定、そして対策案の立案までを支援するシステムを開発しました。 今後もSakana AIは、インテリジェンス領域でのAIの社会実装に貢献していきます。

@ashen_one @HeyGen My AI: https://t.co/kiuZ7QXLzb At the bottom is a button to create you a Notebook LM script. Paste that into Notebook LLM and click "create."
🚀The era of autonomous multi-agent discovery is arriving! @karpathy 🪸Excited to share CORAL, our new work on autonomous multi-agent systems for open-ended scientific discovery. 🙅♂️A key limitation of many current “self-evolving” frameworks is that agents still operate inside tightly constrained loops — they mutate solutions, but they do not truly decide how to explore. In CORAL, we push toward genuine autonomy: Agents decide 🔍 what to explore 🧠 what knowledge to store ♻️ which ideas to reuse 🧪 when to test hypotheses 🔥One of the most interesting findings: A single autonomous agent already outperforms fixed evolutionary search, but the biggest gains emerge when multiple agents form a research community. 💪Over 50% of breakthroughs in multi-agent runs come from building on other agents’ discoveries. This suggests that knowledge reuse and collaboration are central to scalable automated discovery. 🏅Across 10+ difficult tasks in algorithmic discovery and system optimization, CORAL achieves state-of-the-art performance while improving efficiency by 3–10×. 📄 Paper: https://t.co/8ENJjgC5Xk 💻 Code: https://t.co/WjUJlG7B6p 💡AlphaXiv: https://t.co/TvheULeGgD #agentic #llms #selfevolvingagent #multiagent #autoresearch #alphaevolve
