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Algorithm Innovation

108 summarised stories about Algorithm Innovation, each linking back to the original source. Browse all topics →

Monday, 4 May 2026

The distillation panic

Interconnects 2 months ago

Chinese labs have used API jailbreaking to extract model outputs for training, prompting U.S. policymakers to target the technique of "distillation," which is a standard industry practice for creating smaller models from larger ones. Congress has moved bills through committee and executive orders are pushing for action, with potential regulatory consequences including restrictions on open-weight models trained on Chinese systems. Overly broad regulation risks permanently damaging the Western academic and open-source AI ecosystem while doing little to stop determined competitors, since the core problem is API abuse rather than distillation itself.

Import AI 455: AI systems are about to start building themselves.

Import AI 2 months ago

Researchers and AI developers report that AI systems are demonstrating capabilities to automate components of AI research and development, with progress measurable across multiple benchmarks from code generation to scientific paper reproduction. AI systems have improved from solving 2% of real-world software engineering problems in late 2023 to 93.9% by 2026, while their ability to work independently on complex tasks has extended from 30 seconds in 2022 to 12 hours by 2026. If these trends continue, frontier AI labs may begin delegating larger portions of AI R&D work to autonomous systems, potentially accelerating the cycle of AI model development itself.