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Yann LeCun’s new venture is a contrarian bet against large language models
Yann LeCun is a Turing Award recipient and a top AI researcher, but he has...
Yann LeCun’s New LeWorldModel (LeWM) Research Targets JEPA Collapse in Pixel-Based Predictive World Modeling
World Models (WMs) are a central framework for developing agents that reason and plan in...
Yann LeCun’s New AI Paper Argues AGI Is Misdefined and Introduces Superhuman Adaptable Intelligence (SAI) Instead
What if the AI industry is optimizing for a goal that cannot be clearly defined...
Yandex Releases Yambda: The World’s Largest Event Dataset to Accelerate Recommender Systems
Yandex has recently made a significant contribution to the recommender systems community by releasing Yambda...
Yandex Releases Alchemist: A Compact Supervised Fine-Tuning Dataset for Enhancing Text-to-Image T2I Model Quality
Despite the substantial progress in text-to-image (T2I) generation brought about by models such as DALL-E...
Xiaomi Released MiMo-Audio, a 7B Speech Language Model Trained on 100M+ Hours with High-Fidelity Discrete Tokens
Xiaomi’s MiMo team released MiMo-Audio, a 7-billion-parameter audio-language model that runs a single next-token objective...
xAI launches Grok-4-Fast: Unified Reasoning and Non-Reasoning Model with 2M-Token Context and Trained End-to-End with Tool-Use Reinforcement Learning (RL)
xAI introduced Grok-4-Fast, a cost-optimized successor to Grok-4 that merges “reasoning” and “non-reasoning” behaviors into...
Wrist Photoplethysmography Predicts Dietary Information
arXiv:2511.19260v2 Announce Type: replace-cross Abstract: Whether wearable photoplethysmography (PPG) contains dietary information remains unknown. We...
Wisdom and Delusion of LLM Ensembles for Code Generation and Repair
arXiv:2510.21513v1 Announce Type: cross Abstract: Today’s pursuit of a single Large Language Model (LMM) for...
Why They Disagree: Decoding Differences in Opinions about AI Risk on the Lex Fridman Podcast
arXiv:2512.06350v1 Announce Type: cross Abstract: The emergence of transformative technologies often surfaces deep societal divisions...
Why Spatial Supersensing is Emerging as the Core Capability for Multimodal AI Systems?
Even strong ‘long-context’ AI models fail badly when they must track objects and counts over...
Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective
arXiv:2506.23508v3 Announce Type: replace Abstract: Post-training algorithms such as Supervised Fine-Tuning (SFT) and Reinforcement Fine-Tuning...
