Hermes Agent Visually Explained (Operating System for AI work). https://t.co/zMKpSJachS pic.twitter.com/84NWaiiXks
— Shubham Saboo (@Saboo_Shubham_) 1 juin 2026
Hermes Agent Visually Explained (Operating System for AI work).
AI
-
Hermes Agent Visually Explained: OS for AI Work
By
–
-
Fleet APAC agents gain new computer use capability
By
–
Fleet APAC agents just unlocked a new major capability: computer use!
-
AI agents rely on infrastructure; Ricoh runs Japanese models at 700+ tokens/sec
By
–
AI agents are only as useful as the infrastructure behind them. @ricoh is running custom Japanese AI models on SambaCloud at 700+ tokens/sec, delivering up to 10× faster performance than previous infrastructure. What once took a minute now finishes in ~10 seconds, making
-
LFM2.5-8B-A1B running as local Blender assistant demo
By
–
LFM2.5-8B-A1B running as a Blender assistant locally. Beautiful demo! https://t.co/uTZB3zOgrn
— Maxime Labonne (@maximelabonne) 1 juin 2026LFM2.5-8B-A1B running as a Blender assistant locally. Beautiful demo!
-
Ethan He discusses AI video’s codex phase and coding agent path
By
–
🆕Grok Imagine’s Video Agent Moment: Cosmos, xAI, World Models, Generative UI, & the Codex Phase for Video https://t.co/UiTGJTIlPQ@EthanHe_42, former @xai world model lead and @nvidia Cosmos researcher, explains why AI video may follow the same path as coding agents, how Grok… pic.twitter.com/sCRaCpa10i
— Latent.Space (@latentspacepod) 1 juin 2026Grok Imagine’s Agent Moment: Cosmos, xAI, World Models, Generative UI, & the Codex Phase for https://
latent.space/p/xai @EthanHe_42
, former @xai world model lead and @nvidia Cosmos researcher, explains why AI video may follow the same path as coding agents, how Grok -
Jensen Huang unveils AI factories, agents, and robotics at GTC Taipei
By
–
CEO Jensen Huang took the stage at GTC Taipei and redefined the future of AI.
— NVIDIA (@nvidia) 1 juin 2026
He unveiled AI infrastructure running the world's AI factories, autonomous agents that actually do things, physical AI and robotics stepping into the real world, and a brand-new generation of personal… pic.twitter.com/x9skzpyN8PCEO Jensen Huang took the stage at GTC Taipei and redefined the future of AI. He unveiled AI infrastructure running the world's AI factories, autonomous agents that actually do things, physical AI and robotics stepping into the real world, and a brand-new generation of personal
-
Ethan’s deep dive on xAI’s SOTA video world model training
By
–
This pod was an incredible gift to the community:
— swyx (@swyx) 1 juin 2026
not only our first pod about @xAI, but Ethan really indulged on all our questions on how to train a SOTA Videogen world model, including specific areas (consistent extending/editing, voice) that Grok @Imagine is *still* SOTA,… https://t.co/purQe9Ja81 pic.twitter.com/Sl4AqAt7RAThis pod was an incredible gift to the community: not only our first pod about @xAI
, but Ethan really indulged on all our questions on how to train a SOTA Videogen world model, including specific areas (consistent extending/editing, voice) that Grok @Imagine is *still* SOTA, -
Longmemeval Experiment: Three Ingestion/Extraction Configurations Compared
By
–
longmemeval experiment arch: 1) deterministic ingestion/extraction (85.6% accuracy, 86.2% retrieval)
2) semantic ingestion/extraction (84.8% accuracy, 94.9% retention)
3) semantic ingestion/deterministic extraction (87.6% accuracy, 90.0% retrieval) this was staggered, not -
Agent development lifecycle: Build, Test, Deploy, Monitor
By
–
Build → Test → Deploy → Monitor @hwchase17 on the agent development lifecycle: https://
langchain.com/blog/the-agent
-development-lifecycle
… -
Ask AI directly, provide context, and define success
By
–
codex tip that sounds obvious but somehow isn't: if you want it to do something, just ask it if it keeps messing up the same thing, ask it to remember what to avoid next time tell it what good looks like and what context it should use you'd be surprised how often this works