GrepSeek Training Search Agents for Direct Corpus Interaction
INNOVATION
-
AI-ready factories: AI as an accelerator, not a disruption
By
–
AI-ready factories experience AI as an accelerator rather than a disruption.
-
Today’s AI highlights: data exchange, roundtable, video workstation, science AI
By
–
Top stories in AI today: – Startup cleans apartments in exchange for AI data
– The Rundown Roundtable: Our AI use cases
– Build a video workstation with Higgsfield and Claude
– Ex-DeepMind group tackles self-improving science AI
– 4 new AI tools, community workflows, and more -
Overengineered AI solution vs simple fix in glass case
By
–
We asked AI to fix one slow workflow. We got 19 agents, 3 councils, and a 5-stage journey ending in "Ascend." The actual fix was three index cards: fix the process, name an owner, start small. They're now in a glass case labeled "what we should have done." Instead — Agentic
-
GPU Crisis: Jensen Huang Responds to Global Concern
By
–
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:
-
Ego Agent: AI runtime outperforming headless setups for seamless automation
By
–
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://
lite.ego.app macOS. 100% FREE. -
NVIDIA accelerates bounding box detection 10x by removing mandatory token prediction
By
–
🚨 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
-
YOLOE-26: Three ways to detect objects – text, visual, prompt-free
By
–
YOLOE-26 turns object detection into three ways of saying "find this":
— Satya Mallick (@LearnOpenCV) 1 juin 2026
→ Text prompt (name it)
→ Visual prompt (show it)
→ Prompt-free (let the model decide)
Closed-set rigidity → open-vocabulary conversation.
Tutorial + benchmarks: https://t.co/od9zkfvMaX pic.twitter.com/t1bXsIl1HJYOLOE-26 turns object detection into three ways of saying "find this":
→ Text prompt (name it)
→ Visual prompt (show it)
→ Prompt-free (let the model decide)
Closed-set rigidity → open-vocabulary conversation.
Tutorial + benchmarks: https://
vist.ly/565gr -
Runway and NVIDIA launch Cosmos Coalition for open-source world models
By
–
Introducing the Cosmos Coalition A new global initiative with NVIDIA and leading AI labs to build and open-source frontier world models for physical AI. Runway joins as a founding member, working alongside NVIDIA and a set of leading AI labs to build, share and accelerate world
-
Nvidia AI generates F1 racing video from dashcam image
By
–
Image-to-video generation is just as impressive.
— NVIDIA AI (@NVIDIAAI) 1 juin 2026
Input image:
"Generate a 16:9 image from a dashcam view of a formula 1 racing event"
Video prompt:
"A high-speed racing event where a car navigates multiple winding turns"
🔊 Sound on – generated by Cosmos 3. pic.twitter.com/FxCWMVNDxhImage-to-video generation is just as impressive. Input image:
"Generate a 16:9 image from a dashcam view of a formula 1 racing event" prompt:
"A high-speed racing event where a car navigates multiple winding turns" Sound on – generated by Cosmos 3.