“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
@askalphaxiv
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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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ES Paper: New AI Research with VsonicV and Conor Hayes
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ES paper: https://
alphaxiv.org/abs/2509.24372 Thanks @realVsonicV @conorfhayes and team for the inspiration! -
Evolution Strategies Outperforms GRPO With Limited Fine-tuning Data
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With how promising Evolution Strategies is as an RL alternative, we just completed our own research to compare and evaluate it against GRPO! Our major finding lines up with the ES paper: Evolution Strategies can beat GRPO even when you have only a little fine-tuning data.
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LeWorldModel: JEPA Training Breakthrough by LeCun
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Yann LeCun and his team can't stop cooking "LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels" One of the biggest bottlenecks of JEPA is they are hard to train, and this new research changes that. They propose LeWorldModel, which shows that a
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GradMem: Gradient Descent Memory for Context Compression
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"GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent" Instead of giving LLMs huge KV caches or one-shot compressed summaries, GradMem shows that you can let a frozen model take some test-time gradient steps to write a long context into a small memory.
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Exclusive Self-Attention: Two-Line Transformer Improvement
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"Exclusive Self Attention" This paper proposed Exclusive Self-Attention (XSA), which is a tiny two-line change that stops attention from looking at itself. This forces it to focus on the rest of the sequence, and can make transformers more effective! This improves the