About a year ago, I participated in Anthropic's security testing program, trying to bypass their safety classifiers. I remember thinking, "This is stupid, these trigger on everything, no one would put a model like this into production."
MACHINE LEARNING
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Claude Fable 5 Golden Gate generation takes 10 hours of Pro limits
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Golden Gate by Claude Fable 5 – it is a very good generation, but not that much better than other SOTA generations I've seen. This took two sets of 5 hour Pro limits btw. pic.twitter.com/ifk100K5Fv
— Peter Gostev (SF: 22-26 June) (@petergostev) 10 juin 2026Golden Gate by Claude Fable 5 – it is a very good generation, but not that much better than other SOTA generations I've seen. This took two sets of 5 hour Pro limits btw.
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The nonexistence of the wall in AI model improvement
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The wall as a concept that we can predict and place at a specific point in time where model capabilities will not improve does not exist, and none of the attempts to draw that boundary in the last 3 years have been successful. It is another thing to say that at some
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Fable/Mythos demonstrates the absence of a wall in the evolution of LLMs
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The most important thing about the release of Fable/Mythos is the demonstration, once again, that there is no wall. The paradigm of LLMs and test-time-compute, far from slowing down, continues to climb the hill by delivering increasingly intelligent and capable models,
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Slow down AI self-improvement: access for all except the best
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Simple solution to slow down recursive AI self-improvement: – The lab with the top-ranked model must accept that THEY should not use it to work on cutting-edge AI – But everyone else should have access to it. By definition, this
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The agentic shift: 5 AI trends by 2026
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The agentic shift: 5 #AI trends redefining #Businesses by 2026
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@Khulood_Almani #GenAI #LLM #ArtificialIntelligence #MachineLearning -
API endpoints not free, but weights provided; licenses TBD
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They won't give you API endpoints for free, but you'll get the weights Licenses and what's possible vs what's not is tbd
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Future demand for TPUs to train specialized models
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Don't worry we're gonna need all the TPUs we could get our hands on for training those specialized models
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DiffusionOPD distills expert teachers into single student for multiple tasks
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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