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πŸ”ylecun retweeted
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Cameron πŸ‡ΊπŸ‡Έ πŸ—½πŸ¦…
@CameronCorduroy
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Mar 16, 2026
143d ago
πŸ†”36226686

this is what actual national suicide looks like btw https://t.co/Qeknw6XMrg

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joncoopertweets
@joncoopertweets
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Mar 17, 2026
143d ago
πŸ†”74616010

Excuse my language, but Trump is a delusional, narcissistic, lying piece of shit. https://t.co/uvvNeZLMrT

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πŸ”ylecun retweeted
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Jon Cooper πŸ‡ΊπŸ‡Έ
@joncoopertweets
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Mar 17, 2026
143d ago
πŸ†”74616010

Excuse my language, but Trump is a delusional, narcissistic, lying piece of shit. https://t.co/uvvNeZLMrT

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siyuanhuang95
@siyuanhuang95
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Mar 17, 2026
142d ago
πŸ†”37897027

Excited to introduce OmniClone, a robust teleoperation system for humanoid mobile manipulation. While systems like TWIST2 and SONIC paved the way, we put efforts into solving the critical stability and scaling gaps. 1/ πŸ“Š Moving past "vibe-based" testing. We’ve built a comprehensive diagnostic benchmark to systematically evaluate whole-body teleoperation. No more trial-and-errorβ€”get the actionable insights needed for true policy optimization. 2/ πŸ‘€ Universal Human-to-Robot Mapping. Teleop often breaks when switching operators. OmniClone mitigates biases from hardware fluctuations and, crucially, diverse human body shapes, ensuring high-stability control regardless of the person in the suit. 3/ πŸš€ System Optimizations for Whole-body Manipulation Policy. By optimizing for affordability and reproducibility, OmniClone provides the high-fidelity pipeline necessary to collect data and train humanoid whole-body policies at scale. fully The model checkpoints and deploy code are now fully releasedβ€”welcome to play with it! πŸ“¦ πŸ“„ Paper: https://t.co/kDm60WeuMD 🌐 Project: https://t.co/WGcfYridEs πŸ’» Code: https://t.co/U1QLgaipcd

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Dylan_Russell_X
@Dylan_Russell_X
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Mar 17, 2026
142d ago
πŸ†”51123382

Built a spatial sticky notes app for Vision Pro. Tap. Speak. Rewrite. Persistent. AirSticky is live on the App Store. https://t.co/7z4ba8hJQ2

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chddaniel
@chddaniel
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Mar 17, 2026
142d ago
πŸ†”61353040

Introducing the world's first-ever AI COO. Enter a prompt and it deploys a team of agents to help you build a business and and get customers. Try it now at https://t.co/rI58U0cN7b. https://t.co/gKUJaIcAe0

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emmettshine
@emmettshine
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Mar 17, 2026
142d ago
πŸ†”98814219

Introducing @go_nestwell, a home health operating system that turns invisible environmental risks into clear, actionable steps. Nestwell assesses your home across air, water, light, moisture, and more, generating a personalized health score and connecting you to vetted solutions and experts. The positioning: "the voice in the room that notices what everyone else overlooks, and quietly corrects it." This one is a milestone for us: Nestwell is @littleplainsxo first fully generative end-to-end project, meaning AI-assisted workflows touched every phase: research and positioning, brand world building, content, and site. Research to live in six weeks. Tools used: - Research & strategy: Flora, ChatGPT Deep Research, Claude, Figma Slides - Brand & design: Figma, MidJourney, Paper (via MCP) - Site build: Cursor, Eleventy / Tailwind / GSAP, deployed on Vercel We're proud of how it came together for the team’s launch, and excited about what it signals for how incredible work can be done.

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hcompany_ai
@hcompany_ai
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Mar 17, 2026
142d ago
πŸ†”14320083

πŸš€ Live from @NVIDIAGTC, we're releasing Holotron-12B! Developed with @nvidia, it's a high-throughput, open-source, multimodal model engineered specifically for the age of computer-use agents. Get started today! πŸ€—Hugging Face: https://t.co/oaSviLi8IN πŸ“–Technical Deep Dive: https://t.co/pDItQB1frU πŸ’ΌWe are hiring: https://t.co/fcNoR9FIYQ #AI #ComputerUse #NVIDIA #OpenSource #ReinforcementLearning #HCompany #GTC @NVIDIAAI @nvidia

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randal_olson
@randal_olson
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Mar 17, 2026
142d ago
πŸ†”01984370

Yes! The β€œare you sure?” problem (link below) is especially pervasive in any complex coding task. Ask Claude or GPT to review a PR then ask it to double check its findings when it finishes - it’ll flip on at least 1 of its findings. https://t.co/WUSuOxTuDy

@HamelHusain β€’ Tue Mar 17 14:55

One thing that makes me feel that code factory has not arrived yet is the following experiment: 1.Ask a LLM to do an in-depth rigorous review of your code 2. In a new thread, as same/different LLM to consider those review comments independently and address issues it agrees with

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rasbt
@rasbt
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Mar 17, 2026
142d ago
πŸ†”18058967

Following a suggestion, I'm adding the context directly to the cards. But there's this blank space now. What other info could be added here? License type? Approx. size in BF16? Something else? https://t.co/f9UhDDGonh

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SpaceX
@SpaceX
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Mar 17, 2026
142d ago
πŸ†”37608970

Falcon 9 launches 29 @Starlink satellites from Florida https://t.co/IR0izpiruf

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Rothmus
@Rothmus
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Mar 17, 2026
143d ago
πŸ†”40571121

🎯🎯🎯 https://t.co/Qn1tXaSzQm

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art_muse
@art_muse
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Mar 17, 2026
142d ago
πŸ†”22177257

Try Grok Imagine for different art styles Embroidery style 🌼 https://t.co/IR4R9TINig

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dvorahfr
@dvorahfr
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Mar 17, 2026
142d ago
πŸ†”56197842

GROK IMAGINE PROMPT TIP: There's a very simple way to improve your prompts: use the prompts from the templates offered by Grok Imagine. These templates provide a wealth of prompts available to everyone. Take a prompt and analyze it to understand the purpose of each word. For example, I took the fish template and added a color change in the prompt using the video extension.

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jamescham
@jamescham
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Oct 25, 2022
1381d ago
πŸ†”41313792

@emollick One of my favorite parlor games right now is going to GPT-3 and asking it to write a one-scene play between two historical figures. It is consistently entertaining (and basically free!). Here’s an example: https://t.co/eIBB1Nue6u

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TheRabbitHole
@TheRabbitHole
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Mar 17, 2026
142d ago
πŸ†”31858061

Only Grok 4.20 follows the 3 Laws of Robotics: 1) A robot may not injure a human being or, through inaction, allow a human being to come to harm. 2) A robot must obey the orders given it by human beings except where such orders would conflict with the First Law. 3) A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.

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MiniMaxAgent
@MiniMaxAgent
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Mar 17, 2026
142d ago
πŸ†”01224829

One 🦞 per person was just the beginning. Now meet your MaxClaw team. β†’ Multiple agents, each with their own role β†’ Parallel execution, 24/7, no babysitting β†’ Built around how your team actually works Your AI team. On demand. 🦞🦞🦞 Available for Individual Plan β€” Pro tier and above.

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b_alastruey
@b_alastruey
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Mar 17, 2026
142d ago
πŸ†”03697001

πŸ”ŽA closer look at Omnilingual No Language Left Behind, the encoder-decoder system presented as part of @AIatMeta new Omnilingual Machine Translation work!🌍 Many say encoder-decoder is dead in the age of decoder-only LLMs but we show it’s not! πŸ“„:https://t.co/isvEzRZbnw 🧡1/n https://t.co/RLs8ncUy0H

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cb_doge
@cb_doge
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Mar 17, 2026
142d ago
πŸ†”17282750

Grok can watch long videos for you and save your time. https://t.co/6AEGd64AFU

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dair_ai
@dair_ai
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Mar 17, 2026
142d ago
πŸ†”53826696

Even the best reasoning models hit an accuracy collapse beyond a certain problem complexity. Giving an LRM the exact solution algorithm doesn't fix it either. This new work, BIGMAS, improves LLM agents by taking inspiration from the human brain. BIGMAS outperforms both ReAct and Tree of Thoughts across all three tasks. It organizes specialized LLM agents as nodes in a dynamically constructed directed graph, coordinated through a centralized shared workspace inspired by global workspace theory. A GraphDesigner builds task-specific agent topologies per problem, and a global Orchestrator routes decisions using the complete shared state, eliminating the local-view bottleneck of reactive approaches. Across Game24, Six Fives, and Tower of London on six frontier LLMs, including GPT-5 and Claude 4.5, BIGMAS consistently improves accuracy. The gains are largest where models struggle most: DeepSeek-V3.2 jumps from 12% to 30% on Six Fives. Paper: https://t.co/sMqUfvHAGp Learn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c

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steverab
@steverab
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Mar 17, 2026
142d ago
πŸ†”50398178

In our paper "Towards a Science of AI Agent Reliability" we put numbers on the capability-reliability gap. Now we're showing what's behind them! We conducted an extensive analysis of failures on GAIA across Claude Opus 4.5, Gemini 2.5 Pro, and GPT 5.4. Here's what we found ⬇️ https://t.co/GkdAxk0wDO

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davidshor
@davidshor
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Mar 17, 2026
142d ago
πŸ†”22717909

When we tested videos on these themes, AI-specific populism - messages that address the future impact of AI in bold, populist terms - performed at the top compared with every other topic we've tested in moving voters toward Democrats. https://t.co/bNpCfsJC1h

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emollick
@emollick
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Mar 17, 2026
142d ago
πŸ†”88829227

Leaving aside the politics & accuracy of these points (and they are inaccurate, I don't know any economist who projects anything like 75% of jobs are being eliminated in 5 years), the rest of this is remarkably close to the UBI proposals that have been floated by the big AI CEOs. https://t.co/AGOO6o81yw

@davidshor β€’ Tue Mar 17 14:03

When we tested videos on these themes, AI-specific populism - messages that address the future impact of AI in bold, populist terms - performed at the top compared with every other topic we've tested in moving voters toward Democrats. https://t.co/bNpCfsJC1h

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b_alastruey
@b_alastruey
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Mar 17, 2026
142d ago
πŸ†”39491508

Happy to share 🌍Omnilingual Machine Translation🌍 In this work @AIatMeta we explore translation systems supporting 1,600+ languages. We show how our models (1B to 8B) can outperform baselines of up to 70B while having much larger language coverage. πŸ“„:https://t.co/isvEzRZbnw https://t.co/8sdgkQuJ3B

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omarsar0
@omarsar0
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Mar 17, 2026
142d ago
πŸ†”73572061

Current vision-language models still struggle with simple diagrams. Feynman is a knowledge-infused diagramming agent that enumerates domain-specific concepts, plans visual representations, and translates them into declarative programs rendered by the Penrose diagramming system. Great insights for those building agents for diagrams and visualizations. One pipeline run produced 10,693 unique programs across math, CS, and science, each rendered into 10 layout variations, yielding over 106k well-aligned diagram-caption pairs. Paper: https://t.co/F4vNS0TII4 Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

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Lord_Arse
@Lord_Arse
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Mar 15, 2026
144d ago
πŸ†”22225595

Tomb Raider cosplay done right. https://t.co/trHhU0lcLM

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xenovacom
@xenovacom
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Mar 16, 2026
143d ago
πŸ†”83006554

IBM just released Granite 4.0 1B Speech, a compact and efficient speech-language model, designed for multilingual speech recognition and bidirectional speech translation. New #1 on the OpenASR leaderboard! It can even run in your browser on WebGPU, thanks to πŸ€— Transformers.js https://t.co/Nv3FzfsONb

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kuberdenis
@kuberdenis
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Mar 17, 2026
142d ago
πŸ†”46956903

Tibo di bop cod ex Tibo di bop cod ex Tibo di bop cod ex Tibo di free free Tibo di free free Tibo di free cod ex Tibo di free cod ex Tibodi free codex codex tibo tibo Tibodi free codex codex tibo tibo https://t.co/ThEAcWt0TT

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TansuYegen
@TansuYegen
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Mar 17, 2026
142d ago
πŸ†”73552452

A robot in China just smashed some dishes started dancing instead of working πŸ˜‚ https://t.co/cfkIjihnsx

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