15. Karpathy adds Grok 3 to his "LLM Council" after quick vibe check
MACHINE LEARNING
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AI transforms Formula 1 from reactive to predictive strategy
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8/ AI is taking Formula 1 from reactive to predictive. With AWS’s machine learning models, teams are no longer just reacting to races—they’re anticipating every move before it happens. The power of AI in sports is limitless. #WAICF2025 #AI
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AWS AI Root Cause Analysis Predicts F1 Race Failures
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5/ AWS is also using AI-powered Root Cause Analysis to detect and fix issues during races before they impact performance. Imagine an AI assistant that flags potential failures before they happen. This is predictive AI in action. #AI #AWS #F1
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Grok 3 Crushes Benchmarks in Reasoning Math and Coding
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Grok 3 is the most powerful model ever: crushing it in reasoning, math, coding, world knowledge, and instruction-following tasks and showing remarkable performance across a range of benchmarks
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Evo 2: DNA Foundation Model Trained on 9 Trillion Base Pairs
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Evo 2, a DNA foundation model trained on 9T DNA base pairs, with state-of-the-art performance across a wide variety of biologically relevant tasks:
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AI CUDA Engineer: Agentic Kernel Discovery and Optimization
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The AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Compositionhttps://t.co/fMDhdIkNIo
— hardmaru (@hardmaru) 20 février 2025
In principle, AI can be as resource-efficient as our brains 🧠. To achieve this, we can use AI to make AI more efficient! Eventually, AI will become a million times faster. https://t.co/84rZGBKHnsThe AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition https://
pub.sakana.ai/ai-cuda-engine
er/paper/
… In principle, AI can be as resource-efficient as our brains . To achieve this, we can use AI to make AI more efficient! Eventually, AI will become a million times faster. -
Databricks Data AI Summit Registration Opens San Francisco
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Registration for #DataAISummit is now open! https://
dbricks.co/3wABKOq Join us in San Francisco for the world’s largest data, analytics and AI conference. You’ll gain access to:
– 700+ technical sessions
– Live training on AI, data warehousing and data engineering
– Networking -
How To Cut Through The Hype And Get Value From AI
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How To Cut Through The Hype And Get Value From AI
#AI #AIio #BigData #ML #NLU #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn http://
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Tiny AI Models Need Quantum Leaps Not Incremental Gains
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the base itself needs to be a leap ahead though or there's no point. a 2-10X better tiny model would be amazing. a 10% better tiny model would be pointless
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Building the First Tiny Smart Model Not Another Generic One
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no point in doing it if it's the 101st tiny dumb model, it needs to be the 1st tiny smart model