How to create a coordinated AI agent team:
– set up your first preferred agent (this is your orchestrator)
– ask it to configure Managed Gemini Agents or something like modal CPU instances to launch sub-agents in their own environment
MACHINE LEARNING
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Create a coordinated AI agent team with an orchestrator
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Kimi is consistent, GLM is intelligent but prone to overthinking loops
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Kimi has been more consistent for me, GLM can be generally more intelligent when it doesn’t fall into an overthinking loop.
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Can’t wait for Groq or Cerebras to run GLM 5.2
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Really looking forward to one of the ultra-fast custom silicon inference providers like @GroqInc or @cerebras running GLM 5.2 Cerebras has GLM-4.7, Groq is still mostly on Llama 3.x and gpt-oss
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Graph of States: Replacing Guesswork with Logic
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Can't stop your LLM from guessing instead of reasoning? That's the abductive reasoning gap. Researchers from Nankai University, Tsinghua, and others introduce Graph of States (GoS) — a new framework that transforms messy guesswork into logic.
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Beneficial RL data improves AI alignment across tasks
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There are papers that show training AI on "evil" data results in general misalignment, so it is nice to know the opposite is true and that beneficial RL data in one field leads to more aligned models across a range of tasks.
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Reflection on model distillation and the performance of GLM 5.2
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Not sure, honestly. If that's the case, it wouldn't surprise me, it's quite common. Claude distills from the internet & potentially others, others distill from Claude,… it's just the natural development cycle. GLM 5.2 is >10 points better
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Model faster than Opus 4.8 and GPT 5.5 with efficient thinking
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It's been much faster than Opus 4.8 and GPT 5.5 for me, in practice. Both of those models frequently spend a *lot* of time thinking about easy stuff, and sometimes not enough time for hard stuff.
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Humanoid hands driven by a single neural network
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#Dexterity is becoming one of the most exciting frontiers in robotics.
— Amitav Bhattacharjee (@bamitav) 19 juin 2026
Humanoid hands powered by a single #neuralnetwork could unlock entirely new applications!
pic.twitter.com/9KIeXmAeX2#humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation…#Dexterity is becoming one of the most exciting frontiers in robotics. Humanoid hands powered by a single #neuralnetwork could unlock entirely new applications! https://x.com/Moonpreneur_hq/status/2067751730809389227/video/1 … #humanoidtech #humanoid #robot #Robotics #AI
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800x cost difference per task between AI models
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The cost per task varies by a factor of ~800x depending on the models tested: Claude Fable 5 dominates the benchmark but costs over $31 per task on average, compared to ~$0.04 for DeepSeek V4 Flash (max). The best options in terms of price/performance ratio are the models