Stream-DiffVSR
— AK (@_akhaliq) 30 décembre 2025
Low-Latency Streamable Video Super-Resolution via Auto-Regressive Diffusion pic.twitter.com/YeTI34Nmsw
Stream-DiffVSR Low-Latency Streamable Super-Resolution via Auto-Regressive Diffusion
MACHINE LEARNING
-
Stream-DiffVSR: Low-Latency Streamable Video Super-Resolution
By
–
-
Fine-grained VLM Reward Model with Stepwise Confidence Metrics
By
–
Finally! A fine-grained VLM-based general reward model with a stepwise confidence metric. Also novel segmentation and fusion of incremental, forward, and backward prediction. https://t.co/m5k2ghkUD7
— Ken Goldberg (@Ken_Goldberg) 30 décembre 2025Finally! A fine-grained VLM-based general reward model with a stepwise confidence metric. Also novel segmentation and fusion of incremental, forward, and backward prediction.
-
Eric Schmidt Warns About AI’s Transformative Power Within 5 Years
By
–
L’ancien PDG de Google, Eric Schmidt, lâche un avertissement glaçant sur l’avenir de l’IA.
— VISION IA (@vision_ia) 30 décembre 2025
« D’ici 5 ans, l’IA pourrait gérer un contexte infini, un raisonnement en chaîne avec des solutions en 1 000 étapes, et des millions d’agents travaillant ensemble.À terme, elles… pic.twitter.com/Jg7O1UtV7iThe former Google CEO, Eric Schmidt, issues a chilling warning about the future of AI. "Within 5 years, AI could handle an infinite context, chain-of-thought reasoning with solutions in 1,000 steps, and millions of agents working together. In the long run, they will develop
-
Humachineology Studies on Human Machine Evolution Advances
By
–
Humachineology studies provide you with advances, innovations, and trends in the evolution of humans and machines.
-
Scaling AI Workloads with Ray: From Data to Agents
By
–
🎙️ In this episode of Yet Another AI Podcast, we sat down with @lindavivah from @anyscalecompute on scaling AI workloads with Ray from data processing to training, inference, and agents.
— AI21 Labs (@AI21Labs) 30 décembre 2025
We look at Ray’s roots in RL, why tools like vLLM build on it, and when Ray vs. SaaS makes… pic.twitter.com/9W8QPxztiOIn this episode of Yet Another AI Podcast, we sat down with @lindavivah from @anyscalecompute on scaling AI workloads with Ray from data processing to training, inference, and agents. We look at Ray’s roots in RL, why tools like vLLM build on it, and when Ray vs. SaaS makes
-
Voice recognition works in noise, fixing comments and grammar
By
–
It is remarkable that I can talk to you while it is loud as hell in here, and have it understand me just fine while fixing my comments and my grammar. Hell yeah.
-
Grok analyzes YouWare interview: China’s AI tools reshape innovation
By
–
Grok says, about this interview: "It's not just a product demo. It's a window into the evolving AI world, where China's emphasis on accessible, optimized tools is reshaping who can innovate. Viewers emerge with practical knowledge of YouWare's capabilities, inspiration from its
-
AI Opportunities Growing as Companies Face Talent Shortage
By
–
Another year of rapid AI advances has created more opportunities than ever for anyone — including those just entering the field — to build software. In fact, many companies just can’t find enough skilled AI talent. Every winter holiday, I spend some time learning and building,
-
Mixture of Experts Architecture Powering Frontier AI Models
By
–
Why are the world’s leading models built on mixture of experts?
— NVIDIA AI (@NVIDIAAI) 29 décembre 2025
Ian Buck, Vice President of Hyperscale and HPC at NVIDIA, unpacks the architecture powering today’s frontier AI and how extreme co-design is driving smarter models at lower cost.
🎧 Listen to the NVIDIA AI Podcast… pic.twitter.com/DBMFNDAIQ0Why are the world’s leading models built on mixture of experts? Ian Buck, Vice President of Hyperscale and HPC at NVIDIA, unpacks the architecture powering today’s frontier AI and how extreme co-design is driving smarter models at lower cost. Listen to the NVIDIA AI Podcast
-
VLMs for Robotics: The Challenge of Combining Vision and Manipulation
By
–
Also #3 strikes a chord — VLMs are fantastic and super useful for robotics but I don’t think we’ve figured out yet how to best combine VL and manipulation signals.