All GPT 5.6 needs now is to be in the same ballpark with Fable and not catastrophically nerfed.
RESEARCH
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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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IndiaAI Initiative Supports AI Ideas to Real-World Impact
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Turning AI ideas into real-world impact. The IndiaAI Application Development Initiative supports the journey from innovation to implementation by enabling the development, testing, and deployment of AI solutions that address national priorities and sectoral challenges. By
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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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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
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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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Study reveals reasons behind driverless car crashes
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#Driverless cars are on the rise, and now we may know why they crash
by @KingsCollegeLon @TechXplore_com Learn more: https://
bit.ly/4ay8Z5w #SelfDrivingCars #AutonomousVehicles #Automation #Automotive #Transport