quand t'auras un cancer, ou un proche, tu comprendras, retourne jouer avec tes legos
RESEARCH
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French Cancer Research Leaders Meet at Monaco Event
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t'as raison, t'en ai pas un, t'as une réaction d'un enfant de 5 ans toi. Bah je suis pas dans le domaine, mais je participe aux réunions de l'INCa, et je connais ceux qui font des avancées majeure en France, ils étaient a mon event a Monaco.
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AI Applications in Hematology and Cancer Medicine
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je crois que je suis plus à jour que toi sur ton domaine de l'hématologie (alors que la médecine c'est pas mon domaine), mais je suis curieux de voir tes travaux sur le sujet de l'IA appliqué a la médecine. Je suis intervenu a la biennale de Cancerologie de Monaco. Et j'ai
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LongHorizonUI: AI Agents Master Complex Interface Tasks
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Why do AI agents stumble on long, complex interface tasks? A team from Tencent Turing Lab, Georgia Tech, Tsinghua, and Chinese Academy of Sciences presents LongHorizonUI. This unified framework uses a "Perceiver" for robust screen understanding, a "Decider" for iterative,
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Different Types of Machine Learning in Artificial Intelligence
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Different Types of #MachineLearning
by @Python_Dv #ArtificialIntelligence #AI #ML -
Evolution Solves Hierarchical Learning Where Classical RL Fails
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Evolution figured out how to get learning to produce hierarchical models for perception and planning.
It had to find a solution to the collapse problem. What you describe is "classical" reinforcement learning. We know that's way too inefficient. -
Major shift toward science in AI development
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En tout cas ils sont tous en train de faire un gros move vers la science, et c'est ça qui est important (en tout cas pour moi)
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HyperAgents: AI Research on Meta-Learning and Self-Improvement
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“HyperAgents” This paper shows that you can give an AI the ability to improve not just at a task, but at the way it improves itself. Similar to meta-learning, it learns better strategies for self-improvement, and the paper shows those strategies can transfer across domains
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LLM Agents Build Improve Reusable Skills Without Fine-Tuning
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"Memento-Skills: Let Agents Design Agents" This paper introduces an LLM agent that can build and improve its own reusable skills from experience without any fine-tuning. So rather than retraining bigger models, they give frozen models a self-improving memory that lets them
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Could a Master Algorithm Replace LLM-Based Intelligence?
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I still think that there might very well be a relatively concise master algorithm, rather than intelligence being the long tail of next token prediction. Perhaps the LLM can vibe code its successor?