Imagine if OpenAI released GPT-6 right now
MACHINE LEARNING
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CUA-Gym automates training data bottleneck for computer-use agents
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The biggest bottleneck for computer-use agents just got automated away.
— AlphaSignal (@AlphaSignalAI) 13 juin 2026
Reinforcement learning broke open math and coding.
But for agents clicking around real software, progress stalled.
The bottleneck was generating training data at scale.
CUA-Gym is a pipeline that… pic.twitter.com/ck87dsJjikThe biggest bottleneck for computer-use agents just got automated away. Reinforcement learning broke open math and coding. But for agents clicking around real software, progress stalled. The bottleneck was generating training data at scale. CUA-Gym is a pipeline that
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Training a Mythos model requires noticeable amounts of compute
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And by regulatable amounts of compute, I mean training a Mythos class model uses enough power and chips that national governments will obviously notice. No ine is training a model of that size without permission
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New open-weight 30B model from Cohere for agentic coding
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New cool open-weight model from Cohere: a new lightweight 30B open-weight model for agentic coding tasks. It builds on Command A+ using parallel transformer design. Interesting, even though it's almost twice as small, it doubles
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Fable 5 prompt leak jailbreak banned due to model power
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“Fable 5 prompt leak / jailbreak” was so serious that it got banned? or the model was so powerful for a prompt leak? Well, they said “it’s a non-universal jailbreak..”
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AA methodology and Nvidia technical blog on agentic coding performance
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AA methodology: https://
artificialanalysis.ai/methodology/ag
entperf
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Nvidia technical blog: https://
developer.nvidia.com/blog/nvidia-ac
hieves-leading-agentic-coding-performance-on-first-agentic-ai-benchmark/
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Artificial Analysis launches AgentPerf, first agentic AI benchmark
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Artificial Analysis just announced AgentPerf, the industry’s first agentic AI benchmark. The benchmark uses several real-world agentic use trajectories and employs OpenCode agentic harness using three top open-source models with reasoning enabled 1/4
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DeepSeek, GLM, Kimi solve real code issues with reasoning and tools
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(DeepSeek V3.2, GLM 4.7, and Kimi K2.5) prompted to resolve issues in real public code repositories. All trajectories include interleaved reasoning and tool calls. 2/4
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China scaling Huawei chips, mythos model expected in 12 months
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you underestimate exponentials. Its probably true that they dont have a mythos level model yet. but even amodei expects such model to be created in china in about 12 months. China is scaling huawei ascend chips by an insane amount and they have all the energy they need.
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User praises Gemma4, a small local language model from Google DeepMind
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Gemma4 is amazing. i love it. And i love google deepminds effort on creating such an amazing (small) language model that runs locally.