You're literally replying to a message warning of "dystopian risk associated with AI". You're just ignoring the warning. If you think having the US gov in control of AI makes your kids safer, then I don't know want to tell you…
@jeremyphoward
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Simplicity in Web Development: A Core Developer Principle
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Making the simplest kinds of websites is, I trust, what we all aim for as developers.
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Why Language Models Build Rich Knowledge Hierarchies
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…which is literally why I created LLMs. I explained in the original videos that the entire reason was because language models, to be good at their job, must build a rich hierarchy of abstractions and capabilities and implicit world-knowledge. Turns out it works! 😀
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Claude Sonnet 4 outperforms for coding and writing tasks
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Yeah sonnet 4 definitely better for me. Using it mainly for coding, but also for various writing and admin tasks. It does a better job of understanding and sticking to what I’m asking.
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Audio Input Gap Forces Switch to Gemini Alternative
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Lack of audio input modality is the big missing feature for us — we have to use Gemini for that.
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Win ImageNette leaderboard: practical hyperparameter training optimization
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Nah just filling in a bunch of hyperparam results isn't interesting — you need to actually try to win! I mean try to get onto this leaderboard (doesn't matter if you make it or not, but you'll see what actually leads to fast accurate training): https://
github.com/fastai/imagene
tte?tab=readme-ov-file#imagenette-leaderboard
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Imagenette Speed-Running: Building Intuition in ML Optimization
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You should maybe try doing some imagenette speed-running — it's a good way to get an intuitive understanding of these issues.
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Batch Size Impact on Model Training Updates and Results
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We covered this in some of our earlier courses – lower batch sizes provide more updates, which should give better results for a fixed # epochs.
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Chart Misinterpretation: Fixed Index vs Year-over-Year Change
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The poster misread the chart. They thought it shows a change in velocity. But that would only be true if this was YoY % change. It’s actually to a fixed 2025 index, so it doesn’t show a change in velocity.
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Deep Learning Accessibility Prediction: A Decade Later Review
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Just came across this old GigaOM article. I guessed in 2013 it might take ~10 years until "packages like word2vec can make deep learning even for relatively unsophisticated users". Not bad, I think! 😀 https://
web.archive.org/web/2022070705
2644/https://old.gigaom.com/2013/08/16/were-on-the-cusp-of-deep-learning-for-the-masses-you-can-thank-google-later/
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