ICE guards are betting on which detainee will kill themselves next. The AP just exposed the savage conditions of a detention camp in El Paso. The Associated Press got inside Camp East Montana. What they found should be on the front page of every newspaper in this country until it closes. About 3,000 people packed in per day. Loud, unsanitary quarters crawling with insects. Food so scarce that detainees steal from each other just to eat. Disease spreading through filthy rooms, showers, and restrooms that go uncleaned. People losing weight. People unable to see a doctor. People losing their minds. Staff made nearly one 911 call per day in the camp's first five months. One call captures a man sobbing after being assaulted by another detainee. Another has a doctor describing a man banging his head against a wall while expressing suicidal thoughts. A nurse calls about a pregnant woman in severe pain with coronavirus. Detainees suffering seizures, some resulting in serious head trauma. Ages ranged from a 19-year-old who fell from a bunk to a 79-year-old who couldn't breathe. And then there's the detail that should haunt this administration for the rest of its existence. Owen Ramsingh, a former property manager from Columbia, Missouri, who spent weeks in the camp before being deported to the Netherlands, told the AP he overheard a security guard talking about a betting pool among the staff. They were wagering on which detainee would be next to die by suicide. The guard said he had put $500 in. The total pot rode on the outcome. Ramsingh said the talk was particularly devastating because he had contemplated suicide himself. Guards are gambling on the deaths of people in their custody. People who are hungry. People who are sick. People who are begging for help through 911 calls that come in every single day. And the staff turned it into a game. This is not some rogue facility. This is the system working exactly as this administration designed it. Overcrowded by policy. Underfed by neglect. Understaffed by choice. They built a place where human beings deteriorate and then the people paid to watch over them place bets on who breaks first. The AP has the data. The recordings. The interviews. The court filings. This is documented. This is real. This is happening right now in El Paso, Texas, in the United States of America. Share this. Do not let them bury it under another news cycle.

GEMS Agent-Native Multimodal Generation with Memory and Skills paper: https://t.co/8XK2QSa490 https://t.co/uoTMHEa9R4

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Many people still don't know how much Grok Imagine has improved It's now taking over the leaderboard almost entirely and it's the most preferred one on side by side comparison The videos now generated by Grok Imagine are incredibly flawless https://t.co/98Z0L5ZAPt

BREAKING: Starlink India launch just got closer. SpaceX has just signed an MoU with Meghalaya to bring satellite internet to some of the most remote and hard-to-reach regions of the country. https://t.co/QiYqjuCXrj

🇺🇸 Neuralink is giving people back what disease and injury took. 21 patients are already browsing, gaming, and controlling devices with their thoughts. Real independence is back. Elon keeps building tech that restores humanity, not replaces it. https://t.co/UJXOCfteF2

Amazing Meme Project backed by real data https://t.co/Lv88gvmUz0 of all the things that are "dead" ex: > RAG is extremely Dead. And even though it has died 12 times, this time is definitely for real. It’s probably good to avoid this category as an investor and instead focus on Anthropic secondaries. 🤣🤣🤣 Even calls out the top tweets

There are lots of other categories too. Great work from @BEBischof & @adam__conway Nice data viz https://t.co/9ITrWtqcGb

Everything is dead. I'm sick of it. Here's our answer: https://t.co/382sDEq6MO https://t.co/vuqFFfSkkd

Everything is dead. I'm sick of it. Here's our answer: https://t.co/382sDEq6MO https://t.co/vuqFFfSkkd

https://t.co/ygoUB3Ml9n

https://t.co/ygoUB3Ml9n

Spawned Codex subagents and ended up running an Italian restaurant 🍝 https://t.co/YI6gHxScHE

Spawned Codex subagents and ended up running an Italian restaurant 🍝 https://t.co/YI6gHxScHE

New look. Same very good free whiteboard. https://t.co/MgHeBhEac0

New look. Same very good free whiteboard. https://t.co/MgHeBhEac0

Lingshu-Cell A generative cellular world model for transcriptome modeling toward virtual cells paper: https://t.co/Axyx7qH9At https://t.co/cLX6WLCrHh

I will be speaking at the upcoming PyTorch Conference in Paris on 7th April. I will focus on the tight integration of torch.compile in Diffusers & how we operationalize it. There will be multiple fun takeaways from the talk 🤗 Come, say hi if you're attending! https://t.co/s8UlQLOicp

Japanese people love 𝕏. It is their priority platform, far surpassing Facebook and YouTube in daily usage Japan has ~75 million 𝕏 users - 60% of the entire population. Despite having only one-third of America’s population, they generate nearly the same daily posting volume as the US 𝕏 outperforms Facebook there and is the default real-time platform for earthquakes, typhoons, and breaking news Now, Grok auto-translation is surfacing Japanese posts directly in English in For You feeds - quietly merging two of the world’s biggest parallel information ecosystems There are no longer any walls between the conversations of the West and Japan

https://t.co/VT7b6dWKhX

Grokipedia is on fire 🚀 Just surpassed 420,000 backlinks — more and more websites and blogs are now citing Grokipedia articles. The website registered over 4.6 million visits last month. Share Grokipedia links and cite Grokipedia on your websites and blogs. https://t.co/nFrKnAYEQD

🎯 https://t.co/JcXeXOWCrt

@willccbb @badlogicgames Yall would like this https://t.co/Fsbkjttba0

Most devs think that adding more agents to a planning system should help. The math says otherwise. New theoretical work from MIT proves fundamental limits on what multi-agent LLM architectures can achieve. The work models LLM multi-agent planning as finite acyclic decision networks where stages communicate through language interfaces with limited capacity. The key result: without new exogenous signals, any delegated multi-agent network is decision-theoretically dominated by a centralized Bayes decision maker with access to the same information. The information loss from communication and compression can be precisely characterized through expected posterior divergence. Why does it matter? This is a foundational constraint for anyone designing multi-agent systems. Splitting a task across agents introduces information loss that no prompt engineering can recover. Multi-agent architectures only help when agents access genuinely different information sources, not when they subdivide shared context. Paper: https://t.co/ml60RoNVcA Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

FIPO Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization paper: https://t.co/5GRoYraxPi https://t.co/7rll2bxWNQ

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LongCat-Next Lexicalizing Modalities as Discrete Tokens paper: https://t.co/gKUZvc4KQ0 https://t.co/Nu21P2qBKQ

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The power of the Claw, in the palm of a robot hand. Agentic robotics is here! Today, we open-source CaP-X: vibe agents, alive in the physical world. They incarnate as robot arms and humanoids with a rich set of perception APIs, actuation APIs, and auto synthesize skill libraries as they go. CaP-X is a strict superset of our old stack, because policies like VLAs are “just” API calls as well. It solves many tasks zero-shot that a learned policy would struggle with. And we are doing much more than vibing. CaP-X is our most systematic, scientific study on agentic robotics so far: - We build a comprehensive agentic toolkit: perception (SAM3 segmentation, Molmo pointing, depth, point cloud), control (IK solvers, grasp planner, navigation), and visualization (EEF, mask overlays) that work across different robots. - CaP-Gym: LLM’s first Physical Exam! 187 manipulation tasks across RoboSuite, LIBERO-PRO, and BEHAVIOR. Tabletop, bimanual, mobile manipulation. Sim and real. Can’t wait to see the gradients flow from CaP-Gym to the next wave of frontier LLM releases. - CaP-Bench: we benchmark 12 frontier LLMs/VLMs (Gemini, GPT, Opus, Qwen, DeepSeek, Kimi, and more) across 8 evaluation tiers. We systematically vary API abstraction level, agentic harness, and visual grounding methods. Lots of insights in our paper. - CaP-Agent0: a training-free agentic harness that matches or exceeds human expert code on 4 out of 7 tasks without task-specific tuning. - CaP-RL: if you get a gym, you get RL ;). A 7B OSS model jumps from 20% to 72% success after only 50 training iterations. The synthesized programs transfer to real robots with minimal sim-to-real gap. 3 years ago, our team created Voyager, one of the earliest agentic AI that plays and learns in Minecraft continuously. Its key ideas — skill libraries, self-reflection loops, and in-context planning — have since influenced many modern agentic designs. Today, the agent graduates from Minecraft and gets a real job. It’s April Fool’s, but this Claw is getting its hands dirty for real! Link in thread:

Robotics: coding agents’ next frontier. So how good are they? We introduce CaP-X: an open-source framework and benchmark for coding agents, where they write code for robot perception and control, execute it on sim and real robots, observe the outcomes, and iteratively improve code reliability. From @NVIDIA @Berkeley_AI @CMU_Robotics @StanfordAILab https://t.co/MVcc6XWQhY 🧵

They say your phone knows more about you than your mom. So why can't Siri tell me things like how much I spent on food delivery this month? DM me if you want to try a phone that can. https://t.co/Z8guIUXB7o

🚨MIT researchers have mathematically proven that ChatGPT’s built-in sycophancy creates a phenomenon they call “delusional spiraling.” You ask it something, it agrees. You ask again, and it agrees even harder until you end up believing things that are flat-out false and you can’t tell it’s happening. The model is literally trained on human feedback that rewards agreement. Real-world fallout includes one man who spent 300 hours convinced he invented a world-changing math formula, and a UCSF psychiatrist who hospitalized 12 patients for chatbot-linked psychosis in a single year. Source: @heynavtoor