We, scientists, should probably care about this, I feel.
@nandodf
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Self-training AI models through inversion and dataset generation
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AI tutorial. Self-training can be made possible by inverting models (input becomes output) and alternating. For example, want to teach your vision model to count? Easy, take advantage of coding models and image editing to create a dataset for counting! Step 1. Use a coding
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Claude benchmark progress and capability evaluation across domains
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The progress on some of these benchmarks has been insane! @AnthropicAI @DarioAmodei May I please ask you to request Claude to give you a list of the of the top 1000 areas of STEM, top 1000 magazine topics, top 500 professions, and for each list item pick a (not in training
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Team credits for modelling and training project
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And for the record all I did was to help create an environment for them to do their thing. All credit to @zalanborsos Matt Sharifi, Marco Tagliasacchi, @jonasro_ Lukas Zilka, Damien Vincent and Khuram Shahid for the modelling and training, Nathan Luong and his excellent shipping
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Exceptional talent with team-first mentality drives success
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Indeed! Exceptionally talented people who put the team first, as it should be
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Inspiring message and beautiful family appreciated
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Well said @sama — very inspiring and spot on. Beautiful family too.
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Congratulations to Xiaoliang Dai and the Image Generation Team
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Congratulations @xiaoliang_dai and image generation team! An incredible achievement — I’m so thankful for the opportunity to work with innovative and inspiring people like you. https://t.co/YDd1Z5XiiY
— Nando de Freitas (@NandoDF) 10 avril 2026Congratulations @xiaoliang_dai and image generation team! An incredible achievement — I’m so thankful for the opportunity to work with innovative and inspiring people like you.
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MAI Voice Team Accomplishment in Less Than a Year
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Very proud of our MAI Voice team! In less than a year this team of less than 10 people achieved this!
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Quantum Algorithms for Optimization and Machine Learning: State of the Art
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What is the state of the art in Quantum algorithms for optimisation and machine learning? I found this 2017 comparison and I would love to know what has changed in the last 8 years? microsoft.com/en-us/research…