Oops 2B should be 2T. We live in trillion scale now.
AI
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Microsoft CEO: a frontier AI without ecosystem is not stable
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Following the ban of FABLE 5, Microsoft's CEO speaks out. He published a text that every leader or anyone using AI should read: 'a frontier AI without ecosystem is not stable.' In short, do not bet your company on the best model of
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Pourquoi 95% des projets IA échouent en entreprise
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95% of enterprise AI projects fail to deliver. but rarely because the model is bad. they fail because teams can’t answer the harder questions: – how do we govern this?
– how do we prove ROI?
– how do we deploy it safely in regulated environments?
– how do we move beyond -
AI training costs: $1B needed, OpenAI leads in funding
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Most of these points are correct, especially point 5. Point 6 is however incorrect. I’ve trained at frontier scale recently and know that you need $1B (like Mistral or Cohere to be even 1 or 2 years behind). This is the real competition: Money raised: OpenAI has raised more in
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Claude reduces unproductive tasks time by 5X
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Love how Claude reduces my unproductive tasks time by 5X.
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7 prompts transform AI into a financial analyst
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A company can seem healthy while discreetly running out of cash. These 7 prompts turn AI into a financial analyst. Price, unit economics, runway, projections and scenario models.
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Anthropic engineer shows autonomous coding workflow with Claude Code
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“You're not supposed to watch Claude Code work. You're supposed to wake up and review what it shipped.”
— Charly Wargnier (@DataChaz) 15 juin 2026
In a new 14-minute live demo, an Anthropic engineer builds out an entirely autonomous workflow from scratch.
The core problem for most devs:
→ When you close your terminal,… https://t.co/KXpbmYWoiw pic.twitter.com/UW57Fs1BqC“You're not supposed to watch Claude Code work. You're supposed to wake up and review what it shipped.” In a new 14-minute live demo, an Anthropic engineer builds out an entirely autonomous workflow from scratch. The core problem for most devs:
→ When you close your terminal, -
Anthropic Ultracode: Intelligent Subroutines for Token Burning and Parallelization
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havent seen many people outside anthropic ultracode yet. this thing is scarily good at burning tokens but you need to set up your repo to parallelize properly to make use of the fanout that i think subagents are best at. basically the idea is "subroutines but intelligent". when
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HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry
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HarnessX: A Composable, Adaptive, and Evolvable Agent Harness Foundry Paper: https://
arxiv.org/abs/2606.14249 -
Xiaomi’s HarnessX lets AI agents redesign their own runtime
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What if AI agents could redesign their own runtime on the fly? Darwin Agent Team From Xiaomi introduces HarnessX, a foundry that lets agent harnesses—prompts, tools, memory, and control flow—compose, adapt, and evolve automatically. Instead of hand-crafting scaffolding for