9. SWE-EVO SWE-EVO introduces a benchmark for evaluating coding agents on long-horizon software evolution tasks that require multi-step modifications spanning an average of 21 files per task.
MACHINE LEARNING
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Nemotron-Cascade: Cascaded Reinforcement Learning for Reasoning Models
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4. Nemotron-Cascade Nemotron-Cascade introduces cascaded domain-wise reinforcement learning (Cascade RL) to build general-purpose reasoning models capable of operating in both instruct and deep thinking modes.
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LLMs Evolve Competing Programs in Digital Red Queen Algorithm
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3. Adversarial Program Evolution with LLMs
— DAIR.AI (@dair_ai) 11 janvier 2026
Digital Red Queen (DRQ) introduces an algorithm where LLMs evolve assembly-like programs called “warriors” that compete for control of a virtual machine in the game of Core War.https://t.co/u2OBC5HFxV3. Adversarial Program Evolution with LLMs Digital Red Queen (DRQ) introduces an algorithm where LLMs evolve assembly-like programs called “warriors” that compete for control of a virtual machine in the game of Core War.
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Scaling Compute Limits: Sara Hooker Challenges AI Growth Assumptions
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1. On the Slow Death of Scaling This essay by Sara Hooker challenges the decade-long assumption that scaling compute always leads to better AI performance.
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Top AI Research Papers: Agents, LLMs, and Scaling Evolution
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The Top AI Papers of the Week (January 5-11) – GDPO
– SWE-EVO
– Deep Delta Learning
– Confucius Code Agent
– Recursive Language Models
– On the Slow Death of Scaling
– Adversarial Program Evolution with LLMs Read on for more: -
LoPA: 3x Faster AI Inference Without Additional Training
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You could make AI inference 3x faster without any extra training. Researchers from SJTU & Huawei present LoPA just for that! Their new "Lookahead Parallel Decoding" method is a plug-and-play trick. It smartly predicts the best order to generate multiple tokens at once, instead
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Knowledge Graphs Enable Impressive Cross-Video Understanding
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The use of knowledge graphs for cross-video understanding is indeed very impressive.
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Share AI and Machine Learning Insights with Your Network
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If you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on LLMs, AI Agents, and Machine Learning!
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Experiment shows Grok outperforms in finance, seeks xAI contact
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Hey @nikitabier @elonmusk
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I’m running an experiment where @grok outperforms all other models in financial investment tasks. Would it be possible to get in touch with someone from the @xai team? I run one of the largest YouTube channels about AI in France, and I’d love to -
NVIDIA GRPO Multi-Reward Optimization Technical Advances
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Trending on alphaXiv: The proper way to do multi-reward GRPO from NVIDIA GRPO’s “normalize the summed reward” step can wash out real tradeoffs by collapsing different reward combinations into identical advantage values eg. tradeoffs into the same advantage where “got 1