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Hermes Agent Now Natively Supported on Windows for Agentic AI Workflows

By

@datachaz

–

01 June 2026 11h39

WINDOWS 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://t.co/5qCZWgTlG1 pic.twitter.com/fCB4UsNSF9
— Charly Wargnier (@DataChaz) 1 juin 2026

WINDOWS 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
…

→ View original post on X — @datachaz

1 June 2026
Ego Agent: AI runtime outperforming headless setups for seamless automation

By

@datachaz

–

01 June 2026 11h27

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.

→ View original post on X — @datachaz

1 June 2026
NVIDIA accelerates bounding box detection 10x by removing mandatory token prediction

By

@datachaz

–

01 June 2026 10h49

🚨 NVIDIA 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… pic.twitter.com/OE7fxZFF4V
— Charly Wargnier (@DataChaz) 1 juin 2026

NVIDIA 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

→ View original post on X — @datachaz

1 June 2026
YOLOE-26: Three ways to detect objects – text, visual, prompt-free

By

@learnopencv

–

01 June 2026 10h49

YOLOE-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://t.co/od9zkfvMaX pic.twitter.com/t1bXsIl1HJ
— Satya Mallick (@LearnOpenCV) 1 juin 2026

YOLOE-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

→ View original post on X — @learnopencv

1 June 2026
Direct vs. indirect leakage in large model training on GSM8k

By

@alexjc

–

01 June 2026 9h42

You mean direct & provable "leakage"? Because the large model writing the solution likely was trained on GSM8k — accidentally or on purpose — so there must be some indirect assumptions being made all along (also a form of leakage).

→ View original post on X — @alexjc

1 June 2026
Who will own the artificial intelligence of data centers?

By

@rafiksmati

–

01 June 2026 7h21

75 billion euros to build data centers in France. Very good. But a question remains: who will own the artificial intelligence that will run inside? A data center is just an infrastructure. The value is not in the walls, it is in the models,

→ View original post on X — @rafiksmati

1 June 2026
Nvidia AI generates F1 racing video from dashcam image

By

@nvidiaai

–

01 June 2026 6h52

Image-to-video generation is just as impressive.

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/FxCWMVNDxh
— NVIDIA AI (@NVIDIAAI) 1 juin 2026

Image-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.

→ View original post on X — @nvidiaai

1 June 2026
New AI boasts 5x faster architecture at 30% lower cost

By

@scobleizer

–

01 June 2026 6h19

"The architecture is incredibly fast." "5x faster." "30% cheaper." Here's the new AI.

→ View original post on X — @scobleizer

1 June 2026
Claude’s Higgsfield Reframe: Stop Cropping, Preserve Backgrounds Across Aspect Ratios

By

@futurepedia_io

–

01 June 2026 6h12

You may now stop cropping your shots!

Claude now supports Higgsfield Reframe: give a reference image and it preserves backgrounds across any aspect ratio – perfect for podcasts, IRL streams, commercials, films, and cartoons.

Use it on Higgs or inside Claude via Higgs MCP.… pic.twitter.com/d8gyLfrstM
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 1 juin 2026

You may now stop cropping your shots! Claude now supports Higgsfield Reframe: give a reference image and it preserves backgrounds across any aspect ratio – perfect for podcasts, IRL streams, commercials, films, and cartoons. Use it on Higgs or inside Claude via Higgs MCP.

→ View original post on X — @futurepedia_io

1 June 2026
Deep dive into Gaussian Splatting: exploring advanced techniques and applications.

By

@bilawalsidhu

–

01 June 2026 3h38

go deeper into gaussian splatting:

→ View original post on X — @bilawalsidhu

1 June 2026

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