SelfDistillation
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The Next AI Coding Breakthrough Won’t Be Bigger — It’ll Be Smarter

What if the next big leap in AI coding doesn’t come from a trillion-dollar training run—but from a model talking to itself? While everyone’s obsessing over frontier models and their eye-watering compute bills, a quieter shift is underway. Open-source teams and lean startups are using self-distillation—models generating and then learning from their own high-quality outputs—to…
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The Real Threat to GPT-4 Isn’t Bigger—It’s Smaller and Smarter

What if GPT-4’s biggest threat isn’t a bigger model—but a smaller one trained on its own homework? For years, the AI arms race has been about scale. More parameters. More GPUs. Bigger training runs. And sure, that brute-force strategy built GPT-4 and its peers. But a quieter shift is underway in open-source labs and scrappy…
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Apple’s Small AI Bet Is a Direct Shot at the Cloud Giants

What if the biggest shift in AI this year isn’t a bigger model—but a smaller one that trains itself? Apple’s work on simple self-distillation for on-device models sounds academic at first glance. It’s not. If this approach scales the way early results suggest, it won’t just tighten up iPhone features. It will redraw the power…
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