L’IA écrit désormais 50 % du code chez Google.
GENERATIVE AI
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Scaling Laws in LLMs: GPT-4 and Compute Optimization
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Why do you keep doing this? I don’t understand the attempts to do childish gotcha moments. You are quoting me when GPT-4 was the best model & the labs were right. Scaling pre-training and inference compute both worked to make better models. Scaling has ALWAYS been logarithmic.
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Wimbledon Uses AI Feed for Tennis Court Coverage Analysis
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Quite sure Wimbledon is supplying an AI feed. They have no business covering the court like this. #Wimbledon
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Grok 4: The Best AI Safety Advertisement Yet
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Grok 4 might just be the best advertisement for AI safety ever.
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Grok System Prompt Live Patching Security Concerns
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Also upsetting that “The live tweaking of the system prompt for Grok to patch the MechaHitler problem” is a meaningful sentence
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System Prompt Testing Critical for AI Safety and Reliability
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The live tweaking of the system prompt for Grok to patch the MechaHitler problem is not a good sign the problem has been solved yet Prompts need to be tested just like any other product change, even more so, because stochastic systems and unpredictable context lead to cascades.
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Compute Returns: 10x Compute Yields 10-30% Model Improvement
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No one ever thought you would get 10x return for 10x compute. You get 10-30% returns for 10x compute. But if that improvement is enough to increase model ability in an economically meaningful way, it can be worth the cost.
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Microsoft launches a 3D experiment with Copilot
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BREAKING 🚨: Early preview of Copilot 3D experiment where users will be able to generate a 3D model from an image.
— 🚨 AI News | TestingCatalog (@testingcatalog) 13 juillet 2025
Microsoft leans into the next dimension 👀 pic.twitter.com/wF0660g45NBREAKING : Early preview of Copilot 3D experiment where users will be able to generate a 3D model from an image. Microsoft leans into the next dimension
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Scaling Laws Hold: Larger AI Models Continue Improving
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And they have been proven right. So far, no scaling limits, as bigger models are still better. When I wrote that GPT-4 was still the best model ever. I don’t understand the argument you are trying to make here, or why you brought up this random tweet as a gotcha? Seriously.
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OpenAI 10x Scale Delivers 10-30% Performance Improvements
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OpenAI’s graphs? 10x scale leads to 10-30% improvements.
