Emerging AI capabilities are at one level quite predictable… First came IQ (factuality). Then EQ (personality). Now AQ (actions quotient or agents). The next big frontier is SQ (social intelligence).
MACHINE LEARNING
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Attention Mechanism Ratios in Language Models: Olmo vs Gemma
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Do you remember if they used it in a 3:1 ratio (like Olmo 3) or 5:1 ratio (like Gemma 3) or just pure sliding window attention?
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Minor AI Misalignments Create Daily Workflow Friction
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The misalignments in the little details are actually the most jarring in daily work, rather than the high-end failures on major problems. A thousand cuts like this one…
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Gemini 3.0 Pro creates websites better than 5 designers
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R.I.P website designers.
— God of Prompt (@godofprompt) 21 novembre 2025
Gemini 3.0 Pro can design better websites than a team of 5 web designers.
Here are 10 I designed using one mega prompt (that I'm going to giveaway below):
1. Graphic Design Agency pic.twitter.com/beW20CYPh0R.I.P website designers. Gemini 3.0 Pro can design better websites than a team of 5 web designers. Here are 10 I designed using one mega prompt (that I'm going to giveaway below): 1. Graphic Design Agency
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Smooth Exponential AI Progress: Understanding Continuous Advancement
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smooth exponential AI progress
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Decision Made Before Evaluation, Based on Training Loss
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They made the choice even before evals. I.e., just looking at the training loss
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MHA vs GQA Independence in Olmo 3 Models
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Hard to say, but I think it may be independent of MHA vs GQA. Also, Olmo 3 7B uses MHA, and 32B uses GQA.
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Olmo 2 Ablation Study on Loss Spikes and Normalization Techniques
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In their Olmo 2 report they had an ablation study showing it reduces the loss spikes during training (but they also included QK norm, so it's hard to say how much of that reduction is due to QK norm and their post norm flavor).
Maybe best of both words is to do both like Gemma -
SAM 3 Achieves 2x Performance with 4M Phrase Dataset
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Collecting a high quality dataset with 4M unique phrases and 52M corresponding object masks helped SAM 3 achieve 2x the performance of baseline models. Kate, a researcher on SAM 3, explains how the data engine made this leap possible.
— AI at Meta (@AIatMeta) 20 novembre 2025
🔗 Read the SAM 3 research paper:… pic.twitter.com/gfCCBQUChlCollecting a high quality dataset with 4M unique phrases and 52M corresponding object masks helped SAM 3 achieve 2x the performance of baseline models. Kate, a researcher on SAM 3, explains how the data engine made this leap possible. Read the SAM 3 research paper:
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SAM 3D: Single Image 3D Reconstruction for Real-World Applications
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SAM 3D enables accurate 3D reconstruction from a single image, supporting real-world applications in editing, robotics, and interactive scene generation.
— AI at Meta (@AIatMeta) 20 novembre 2025
Matt, a SAM 3D researcher, explains how the two-model design makes this possible for both people and complex environments.… pic.twitter.com/wt6wPSmdouSAM 3D enables accurate 3D reconstruction from a single image, supporting real-world applications in editing, robotics, and interactive scene generation. Matt, a SAM 3D researcher, explains how the two-model design makes this possible for both people and complex environments.