Context-trained decision-making for robots is a very different architecture than a general-purpose model. The clear context framing matters: it means the deployment is scoped, not open-ended.
AI
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TCS’s Besprosvan: AI supports factory workers, not replaces, via hazard reduction ROI
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Sol Besprosvan from TCS framed it as AI supporting professionals on factory floors, not replacing them. The use case anchor is hazard reduction, which is where the ROI conversation is easiest to win internally.
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@dfintelligence — 2026-06-27
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ATTENTION !!!! Ce serait une très grave erreur de se priver des modèles open source chinois ultra-performants en France. Des réponses orientées ou biaisées, oui, il y en a. Oui, il y en aura. Il y en en a aussi chez Mistral AI, GPT, Anthropic, etc. La probabilité qu'un agent
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The rapid transition of AI from product to infrastructure
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It's quite something how fast AI has transitioned from product to infrastructure
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Reuse of Chat, Math, Code categories in open-perfectblend dataset
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Wow, they really reused the three main categories Chat / Math / Code as well https://
huggingface.co/datasets/mlabo
nne/open-perfectblend
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Fine-tuning and structured decoding for data extraction
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Yes, for data extraction, I recommend fine-tuning it for your use case (TRL or Unsloth) + using structured decoding (
@dottxtai
) during inference. We'll release something on this topic very soon! -
GPT-5.5-Pro vs Y axis: triangulating spend at $500k/week
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Next in the series of GPT-5.5-Pro vs the Y axis, where we try to triangulate information to add the missing axes. Explanation:
"I anchored the top of the chart at roughly $1M/week because that makes the latest spend about $500k/week, or ~$500 per employee per month for -
Repeating the same context in every chat was unsustainable
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yes, repeating the same context in every chat was unsustainable
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An agent without useful context is left halfway
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Exactly, an agent without useful context is left halfway.