Fleet APAC agents just unlocked a new major capability: computer use!
AGENTS
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AI agents rely on infrastructure; Ricoh runs Japanese models at 700+ tokens/sec
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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
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LFM2.5-8B-A1B running as local Blender assistant demo
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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!
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Ethan He discusses AI video’s codex phase and coding agent path
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🆕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 -
Agent development lifecycle: Build, Test, Deploy, Monitor
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Build → Test → Deploy → Monitor @hwchase17 on the agent development lifecycle: https://
langchain.com/blog/the-agent
-development-lifecycle
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Grok, Cosmos, and World Models: The Video Agent Moment
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Grok Imagine’s Agent Moment: Cosmos, xAI, World Models, Generative UI, & the Codex Phase for Video! https://
latent.space/p/video-agents @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 -
M3: MiniMax’s latest model with 1M-token context and agentic reasoning
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M3 is MiniMax's latest model: 1M-token context, native multimodality, and agentic reasoning, built on their Sparse Attention architecture. Try it in Atomic Chat
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Agents need memory before tools, not expensive goldfish
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We gave agents tools before we gave them memory.
— God of Prompt (@godofprompt) 1 juin 2026
That was backwards.
Now they can browse, code, email, book meetings, hit APIs…
…but still wake up tomorrow with no idea what they learned yesterday.
That is not an agent stack. That is a very expensive goldfish with… https://t.co/k1DqTtViOb pic.twitter.com/vH1kBgbqNtWe gave agents tools before we gave them memory. That was backwards. Now they can browse, code, email, book meetings, hit APIs… …but still wake up tomorrow with no idea what they learned yesterday. That is not an agent stack. That is a very expensive goldfish with
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Codex working nonstop since 11am, feels like an AI employee
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I launched Codex on a goal at 11am, it's 5pm and it's still working. I've never felt so strongly the feeling of having an AI working for me. Like, it's doing a normal workday right now. I'm working on something else while it…
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How to set up LangSmith LLM Gateway in 3 steps
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How to get started with LangSmith LLM Gateway in 3 easy steps. Point agents @ Gateway endpoint with your LangSmith API Key Add your provider API keys to workspace secrets Set policies in the LangSmith UI That’s it. That’s the setup.