Good morning. Gemini has a good new model out that's fast. But you already knew that if you had this list up and running:
MACHINE LEARNING
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Google CEO: No Company Immune to AI Impact
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Good News For Consultants. Google CEO: No Company Is Immune To AI
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn -
Existential Problems in LLM Serving and Autoregressive Inference
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The Existential Problems in LLM Serving Naive Transformers might be fine for lab experiments – but they don’t hold up in production. The real challenge lies in Autoregressive Inference, where performance bottlenecks can cripple even the most powerful GPUs.
If you’ve ever seen -
LLaVA-UHD v3 Halves Processing Time With Progressive Visual Compression
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Ever wonder why AI vision models are so slow? This research shows the quest for high-resolution image understanding creates a major speed bottleneck. The solution, LLaVA-UHD v3, uses a clever "Progressive Visual Compression" method to cut processing time by over half while
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Error-Free Linear Attention Surpasses Hybrid Attention Methods
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With the recent hybrid attention releases from MiniMax, Qwen, Kimi, and NVIDIA, this paper introduces Error-Free Linear Attention that could top them all This new technique has a stable linear-time attention that's better than any linear attention variants and also DeltaNet!
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Machine Learning: From Rule-Based AI to Data-Driven Learning
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What is Machine Learning?
— Satya Mallick (@LearnOpenCV) 17 décembre 2025
From rule-based AI to data-driven learning — this video explains how machines learn from data, why traditional rules failed, and how Machine Learning fits into the bigger AI picture.#MachineLearning #ArtificialIntelligence #AIExplained #DeepLearning… pic.twitter.com/euXeOp2rviWhat is Machine Learning?
From rule-based AI to data-driven learning — this video explains how machines learn from data, why traditional rules failed, and how Machine Learning fits into the bigger AI picture. #MachineLearning #ArtificialIntelligence #AIExplained #DeepLearning -
Open source world model? Christmas 2025 is dope!
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Open source world model?
— Robert Scoble (@Scobleizer) 17 décembre 2025
Christmas 2025 is dope! https://t.co/5lB0hOOy8vOpen source world model? Christmas 2025 is dope!
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Does AI Have Imagination? Technical Facts Explained
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Does AI have imagination?
This seems to be the debate my original post has sparked. My take is: yes, but not in the way human beings imagine. I’m presenting the technical facts below. You can arrive at your own conclusion. When people say “AI has no imagination,” they’re -
AI imagination debate: technical nuances and probabilistic generation
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Since this is sparking a debate, and many people are claiming that AI has no imagination – here are some technical nuances. When people say “AI has no imagination,” they’re usually confusing experience with capability. Technically, AI generates stories using probabilistic
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Apple Research Advances Score Distillation for Flow Matching
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Score Distillation of Flow Matching Models – Apple Machine Learning Research The University of Texas at Austin, Apple
Paper: https://
machinelearning.apple.com/research/score
-distillation
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Page:
https://
yigu1008.github.io/SiD-DiT/