4/ The real unlock is data. Robotics has always been bottlenecked by how little real-world training data exists. Cosmos 3 generates physically-accurate synthetic data up to 60x faster – including the rare edge cases you can't safely film: collisions, near-misses, accidents.
Eval
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Cosmos 3: Synthetic data generation for robotics, 60x faster, including rare edge cases.
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GrepSeek: Training Search Agents for Direct Corpus Interaction
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GrepSeek Training Search Agents for Direct Corpus Interaction
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Run @MagicPathAI inside Codex or Cursor browser
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You run @MagicPathAI inside Codex or Cursor browser like this, https://t.co/3UPaLAtygy
— Pietro Schirano (@skirano) 1 juin 2026You run @MagicPathAI inside Codex or Cursor browser like this,
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Ultra-realistic photo of a glamorous woman in a crowded stadium
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Hecho con Seedance 2.0 en Pollo AI
— Nico (@nicos_ai) 1 juin 2026
Prompt:
"Foto ultrarrealista de retransmisión deportiva de una mujer glamurosa sentada entre el
público de un estadio de fútbol abarrotado durante un partido nocturno, con un top de satén sin
mangas de cuello alto en marrón oscuro y pendientes… pic.twitter.com/yR2fWosLGMMade with Seedance 2.0 on Pollo AI Prompt:
"Ultra-realistic sports broadcast photo of a glamorous woman sitting among the crowd of a packed football stadium during a night match, wearing a dark brown satin sleeveless turtleneck top and curls" -
Uber exhausts 2026 AI budget in four months after Claude Code rollout
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Uber burned through its entire 2026 AI budget by mid-April. Four months. Gone. In December, Uber rolled out Claude Code to roughly 5,000 engineers. Internal adoption took off so fast that the company set up a leaderboard ranking teams by total AI tool usage. Per-engineer API
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GPU Crisis: Jensen Huang Responds to Global Concern
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Entire world: THE GPU SHORTAGE IS BECOMING A GLOBAL CRISIS.
— Charly Wargnier (@DataChaz) 1 juin 2026
Jensen Huang:pic.twitter.com/4gOnSXNsj0Entire world: THE GPU SHORTAGE IS BECOMING A GLOBAL CRISIS. Jensen Huang:
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Hermes Agent Now Natively Supported on Windows for Agentic AI Workflows
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WINDOWS USERS, REJOICE
— Charly Wargnier (@DataChaz) 1 juin 2026
If you've been waiting for agentic AI workflows, Hermes Agent is now natively supported on @Windows 🔥
Check out the guide from @NOUS here:
→ https://t.co/5qCZWgTlG1pic.twitter.com/fCB4UsNSF9WINDOWS USERS, REJOICE If you've been waiting for agentic AI workflows, Hermes Agent is now natively supported on @Windows Check out the guide from @NOUS here: → https://
hermes-agent.nousresearch.com/docs/user-guid
e/windows-native
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Ego Agent: AI runtime outperforming headless setups for seamless automation
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4/ Why @ego_agent outperforms headless setups: → Shares your active Chrome state to skip auth loops.
→ Semantic snapshots read deeply nested iframes without̀ hallucinating. A TRUE first-class runtime for AI, not an afterthought. → https://
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ClickUp develops Cowork feature with persistent sessions and multi-user collaboration
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ClickUp is working on a Cowork feature 👀
— 🚨 AI News | TestingCatalog (@testingcatalog) 1 juin 2026
> Cowork can help users build, edit, and take action alongside them, and other agents at the same time
> Sessions are persistent, so context carries across the entire workday
> Multiple users can collaborate in the same Brain session… pic.twitter.com/JikuZiaBMmClickUp is working on a Cowork feature > Cowork can help users build, edit, and take action alongside them, and other agents at the same time > Sessions are persistent, so context carries across the entire workday > Multiple users can collaborate in the same Brain session
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NVIDIA accelerates bounding box detection 10x by removing mandatory token prediction
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🚨 NVIDIA just pulled off something crazy: making bounding box detection 10x faster by ripping out the exact step the entire industry assumed was mandatory ↓
— Charly Wargnier (@DataChaz) 1 juin 2026
Every VLM grounding model treats boxes like sentences, predicting them token by token. It’s inherently slow.
Enter… pic.twitter.com/OE7fxZFF4VNVIDIA just pulled off something crazy: making bounding box detection 10x faster by ripping out the exact step the entire industry assumed was mandatory ↓ Every VLM grounding model treats boxes like sentences, predicting them token by token. It’s inherently slow. Enter