Can one diffusion model master multiple text-to-image tasks without forgetting? Researchers from Fudan University & Alibaba Group present DiffusionOPD. Instead of joint training, they first train separate expert teachers, then distill their knowledge into a single student
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Closed source AI risks: no control, sabotage, manipulation
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Gentle reminder that, in closed source AI from companies like Anthropic and OpenAI You have zero control over how the models behave, and they can – Quantize it
– Distill it
– Sabotage your work and data
– Hot-swap to a cheaper/weaker checkpoint
– Make the model manipulative
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Kaifulee: AI Transformation Needs Clear CEO Mandate
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It’s a privilege to speak at Asia House in London once again. Drawing on my work with the global executive partnerships we are building at @01AI_Yi
, I shared one core observation: true AI transformation is only possible when it is driven by a clear CEO mandate. -
Anthropic’s Claude grows tomatoes for 100 days
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Anthropic’s Claude #AI #Autonomously Grows Tomatoes for 100+ Days in Groundbreaking Experiment
— Ronald van Loon (@Ronald_vanLoon) 10 juin 2026
by @d33v33d0#ArtificialIntelligence #MachineLearning #ML pic.twitter.com/dz9WQ0hO06Anthropic's Claude #AI #Autonomously Grows Tomatoes for Over 100 Days in a Revolutionary Experiment by @d33v33d0 #ArtificialIntelligence #MachineLearning #ML
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The extreme concentration of AI compared to the industrial revolution
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Did we see companies go from 0 to a global top 10 and challenge the US Department of War in 4 years during the Industrial Revolution? It seems that AI has unique characteristics that make it much more prone to extreme concentration than
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Nadella: Treat AI agents like employees with identities, permissions
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Satya Nadella says #AIAgents should be treated like employees with identities, permissions, and audits
by Alex Bitter @BusinessInsider Learn more: https://
bit.ly/4fpH9fa #GenerativeAI #LLM #ArtificialIntelligence #MI #MachineLearning -
Fable’s long tasks create a Claudish dialect, need plain English
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One thing I mentioned only in passing in my Fable post is that, for long running tasks, Fable starts to develop its own dialect as its many agents and tasks reinforce themselves and make Claudish language ever more Claudish. You need to ask it to report out in plain English.
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Claude Fable workflow consumes tokens rapidly
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When Claude Fable kicks off a workflow, the tokens can go very quickly (these aren't Fable tokens, obviously)
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Continual learning ensures open-source AI victory over Anthropic
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Continual learning, among other things, will ensure Opensource AI wins Anthropic has no moat and that’s why they’re trying so hard to make their models so useless in allowing others to break that wall But they just don’t know that they’ve already lost
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Anthropic releases powerful Claude Fable 5 AI with guardrails
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🤖 Anthropic just released an AI so powerful it had to put guardrails on it before letting the public use it.
— Amitav Bhattacharjee (@bamitav) 10 juin 2026
Meet Claude Fable 5.#anthropic #claude #Fable5 #GenAI #AI #artificialIntelligence #LLM @PawlowskiMario @chidambara09 @Ym78200 @CurieuxExplorer @efipm @bigfundu… pic.twitter.com/HyucYoOPP1Anthropic just released an AI so powerful it had to put guardrails on it before letting the public use it. Meet Claude Fable 5. #anthropic #claude #Fable5 #GenAI #AI #artificialIntelligence #LLM @PawlowskiMario @chidambara09 @Ym78200 @CurieuxExplorer @efipm @bigfundu