@WarMonitor3 Probably how it happened using Grok imagine https://t.co/9wRQBPQQeU

To fund his dangerous military adventures, Trump wants defense spending to rise by 42% to $1.5 trillion, $445 billion higher than its 2026 level. He would pay for it with step cuts in things that Americans need such as housing, education, and healthcare. https://t.co/zEZOCDQm9o

This is an actual post. This is not funny. This is beyond desperate. This is a deeply unwell man who doesn’t belong anywhere near the levers of power. Every member of his cabinet and Congress is complicit in not demanding his removal now. https://t.co/kNM0GI4SCo

Trump’s wildly inconsistent statements reflect less some genius strategy than incapacity. “We appear to have a simpleton in charge, wildly vainglorious and impetuous, constantly boasting of his own brilliance amid an ever-deepening quagmire." https://t.co/TAY6OyjdfC

JD Vance is heading to Hungary to endorse Viktor Orban. Here is a description of the corrupt regime, and the bizarre, post-reality campaign, that the US administration now supports: https://t.co/2Hx9Ow1dfV

ロボットのパレード #ロボットほこ天 https://t.co/09dmGGX1x3

ロボットのパレード #ロボットほこ天 https://t.co/09dmGGX1x3

Real-time accessibility checks directly in Nuxt DevTools are now a reality. Check out the Nuxt A11y module. It’s built on axe-core and scans your app as you navigate, highlighting WCAG issues directly on the page with zero production impact. By helping teams catch issues early, this module has the potential to make countless Nuxt apps more inclusive by default. @timdamen_io explains how it works. ▶️

langosta · lagosta · Hummer · homard · aragosta · ıstakoz · homar · الكركند · ロブスター · 바닷가재 · 龙虾 · lobster OpenClaw docs now speak 12 languages 🌍🦞 We moved translations into a dedicated docs repo, added per-language glossaries + translation memory, and retranslate pages when the English source actually changes. https://t.co/qYzk1H9w2Z

Aunt Lydia's always had a watchful eye. Ready for her next chapter to begin? https://t.co/naW2JNTmXZ

+2 more

https://t.co/3br4MHKknz

Gemma 4 E4B is impressive for an on-device LLM. GPT-4ish quality, and expect hallucinations. Here is: “List five sociological theories starting with u and what they are. Then describe them in a rhyming verse” Its in real time, the last is a little bit of a stretch, but not bad! https://t.co/nJ5HuQsFSB

@BetaTomorrow @AndrewCMyers @maxdkozlov @dangaristo @Nature Well, it was worth a try 🤷‍♀️ https://t.co/E7GbUf3LJf

Liberate your @openclaw with an open model or local model with these tools from our friend @ClementDelangue and team at @huggingface 🦞 https://t.co/e326fluHra

ロボット好きの縁日みたいな、とても楽しい空間です。パレードは午後にも何回かあるみたいなので、是非近くの人は寄ってみてくださいー！　#秋葉原ロボットほこ天 https://t.co/wxZ9raWfXX

ロボット好きの縁日みたいな、とても楽しい空間です。パレードは午後にも何回かあるみたいなので、是非近くの人は寄ってみてくださいー！　#秋葉原ロボットほこ天 https://t.co/wxZ9raWfXX

The biggest misconception about AI and jobs may be how much will actually be automated. A Yale economist argues that many tasks are simply not worth automating, even with very advanced AI, because the cost, complexity or context outweigh the benefits. That challenges the idea that only highly creative work will survive. The reality may be more uneven. Some jobs change dramatically, while many others stay because replacing them is harder than it looks. https://t.co/pFiWkx2ltX @fortunemagazine

Hey sorry for the late replies. I’m A bit underwater rn https://t.co/eHT3DPJbud

Ok, this thread has apparently been a magnet for hordes drooling morons who not only don't get stats, but can't even read. If you're a normally intelligent reader of this tweet, here's an extra example of my point: If you take two RANDOM, INDEPENDENT timeseries (i.e. knowing one gives you NO information about the other) that are each highly temporally autocorrelated (e.g. two random walks), and you plot one against the other as a scatter plot, what you get is a single X/Y trajectory that will ALWAYS look very structured. Yet it is random. Like the figure below. Code to reproduce the figure and play around with this idea: https://t.co/OZPfxCRN3s Of course if the two series happen to be correlated, then you will ALSO see something very structured. It's just that this type of visualization is a completely retarded way to look at such data. If you think this is deep, you are innumerate.

Unsurprisingly, smarter people tend to have better neurons. They are faster, longer, and more dendritically complex. Intelligence is physical! https://t.co/kovvmO3d79

Tesla’s Supercharger network just hit a massive new scale - 80,000+ active stalls worldwide It took over a decade to build the first 40,000 Now Tesla just doubled it in less than four years The scale is wild. In Q1 2026 alone: • 1.8 TWh of energy delivered • 53 million individual charging sessions completed • Network wait times dropped to just <1% Tesla is also rapidly rolling out the new V4 Superchargers, capable of true 500 kW speeds The best part is these are not just for Teslas - Ford, GM, Rivian, Mercedes, Hyundai, Kia, and nearly every major EV brand now let their drivers use the Tesla superchargers because of the extreme reliability and massive network Tesla offers Tesla quietly built the entire EV charging ecosystem, and now legacy automakers struggle to sell cars without it - they are heavily relying on Tesla’s massive network to make their vehicles truly viable on the road and give customers the confidence to buy their cars

Grok Imagine just got a huge upgrade! Now you can create realistic cinematic shots. I’ve created a prompt template to help you get similar results. Here’s how to use + examples ↓ https://t.co/LmILD7vOrp

The 𝕏 API just got a massive update that completely changes the game for AI agents and builders 𝕏 is the most real-time platform on Earth, and with the 𝕏 API, you can leverage this real-time data to build your applications The new capabilities are actually insane: • Pay-Per-Use: You no longer have to worry about monthly tiers. You now only pay for what you actually use • XMCP Server + Xurl for agents: Native Model Context Protocol support allows your AI agents to seamlessly read context and execute actions on the platform • Official Python & TypeScript XDKs: First-party tools to help you build and ship significantly faster • API Playground: Free, realistic simulations to safely test your agent's code before going live You also get up to 20% back in FREE xAI API credits when you purchase 𝕏 API credits (based on your total spend) Start building here → https://t.co/4ZkypGG3M5

“Move fast and break things” worked for apps. It is deadly for AI. What Canada’s case shows and why UK policy choices matter now. 1/ In Canada, internal systems flagged a person’s violent conversations with an AI months before a mass shooting. Police were not notified. Multiple people, including children, died. 2/ This reveals a gap in corporate responsibility when law doesn’t require companies to act on serious risk. 3/ In the US there is still no comprehensive federal AI safety law. Self‑regulation and speed often come first, even for generative systems. 4/ In the EU the AI Act and Digital Services Act create legal duties for “high‑risk” AI systems and platform safety, including incident reporting and transparency that can carry real penalties. 5/ Same technology, two very different legal realities. 6/ The UK is still deciding which path to take. We do not have to adopt Silicon Valley’s “disrupt first, sort out harm later” model, nor merely copy the lax US approach. 7/ Canada’s tragedy shows the cost of weak oversight. The EU’s regulatory frameworks show that strong rules designed to keep people safe do exist. 8/ UK policymakers @OfficeforAI @SciTechgovuk @Ofcom must act now with safety and accountability baked in. 9/ US federal AI policy voices like @FTC and broader US AI debate also influence global norms. 10/ EU enforcement and AI policy engagement by @EU_Commission @EUAI_Office show one workable alternative. Conclusion: Don’t let the first mover set global norms for everyone else. UK policy choices can protect people, not just placate Big Tech. Act now on AI safety, reporting and accountability. https://t.co/xdbvvcjMWP #AI #AIRegulation #SafetyNotSpeed #UKTech #AIAct #AIpolicy

Here is a quick start script including the setup, technical details, and a candid look at where Kinetic excels versus its current limitations 🪡 https://t.co/uSqD68RhzG

Love the random google ad out of nowhere on a bike. Would be sick with a realtime model chatting with you https://t.co/WmAZqpJB7l

SpaceX now has over 10,000 Starlink satellites in orbit (and growing), providing internet data service to every corner of the earth. Even ships at sea or aircraft in the sky can receive high speed internet service. Over 2/3 of the active satellites in orbit are Starlink now. And it won't create any long term trash in orbit. The orbits are so low (480 km to 550 km) that even if SpaceX were to lose control of one, the small satellites will run out of fuel within 5 years. Then they get dragged back into the atmosphere and burn up. Every satellite is in a lane to avoid other Starlink satellites. They all are connected to a collusion avoidance system and can make small course adjustments if needed. Starlink can provide high speed internet anywhere on the planet without having to bury expensive fiber cables underground or undersea. All you need is a small dish which scans the sky for the closest satellite to provide internet connectivity.

Grok 4.20 Multi-Agent just ranked #1 on Search Arena (Style Control) Grok 4.20 set a new industry record on AA-Omniscience with 78% accuracy - the lowest hallucination rate ever recorded on the benchmark Beats Claude Opus 4.6 &amp; Gemini 3.1 Pro https://t.co/LveQ1Gzx9H

@realdanjoseph (I thought you meant books 1 - 6, not verses 1-6) but I have gone back and actually the reader sent it to me appears to have used more than just the six verses in the screenshot fwiw. here is the full screenshot they sent me. https://t.co/N7bVnFpO20

Top AI papers this week on @huggingface 🚀 - CARLA-Air: Fly Drones Inside a CARLA World -- A Unified Infrastructure for Air-Ground Embodied Intelligence - FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization (surpasses DeepSeek-R1-Zero and o1-mini) - LongCat-Next: Lexicalizing Modalities as Discrete Tokens by Meituan - ShotStream: Streaming Multi-Shot Video Generation for Interactive Storytelling - Out of Sight but Not Out of Mind: Hybrid Memory for Dynamic Video World Models - DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models - TAPS: Task Aware Proposal Distributions for Speculative Sampling - The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook

Anthropic is reportedly rolling out a corporate Political Action Committee to influence AI policy before the midterms, supporting candidates in both parties. They opened a formal campaign-money channel called AnthroPAC, a standard employee-funded PAC, not a super PAC, so the money comes from voluntary staff donations and federal law caps those donations at $5,000 per person each year. AI firms now see regulation as a business input, because a rule on model access, military use, chip exports, or state oversight can change which labs win contracts and which ones get boxed out. Anthropic’s move also fits its broader political push, which already includes a reported $20M backing for Public First Action while a separate fight with the Pentagon has turned model guardrails into a live legal and commercial conflict. --- techcrunch .com/2026/04/03/anthropic-ramps-up-its-political-activities-with-a-new-pac/