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Noticias

Noticias

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...

Why open-source AI became an American national priority

To reflect democratic principles, AI must be built in the open. If the U.S. wants...

Why observable AI is the missing SRE layer enterprises need for reliable LLMs

As AI systems enter production, reliability and governance can’t depend on wishful thinking. Here’s how...

Why most enterprise AI coding pilots underperform (Hint: It’s not the model)

Gen AI in software engineering has moved well beyond autocomplete. The emerging frontier is agentic...

Why inventing new emotions feels so good

Have you ever felt “velvetmist”?  It’s a “complex and subtle emotion that elicits feelings of...

Why Generalization in Flow Matching Models Comes from Approximation, Not Stochasticity

Introduction: Understanding Generalization in Deep Generative Models Deep generative models, including diffusion and flow matching...

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