Москвичей предупредили о резком похолодании09:45
Andrew Hastie, Basil Zempilas and Warren Mundine were among the guests at the conservative convention, which focused on immigration and housing
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The JavaScript ecosystem moved on this faster than anyone else, with pnpm shipping minimumReleaseAge in version 10.16 in September 2025, covering both direct and transitive dependencies with a minimumReleaseAgeExclude list for packages you trust enough to skip. Yarn shipped npmMinimalAgeGate in version 4.10.0 the same month (also in minutes, with npmPreapprovedPackages for exemptions), then Bun added minimumReleaseAge in version 1.3 in October 2025 via bunfig.toml. npm took longer but shipped min-release-age in version 11.10.0 in February 2026. Deno has --minimum-dependency-age for deno update and deno outdated. Five package managers in six months, which I can’t think of a precedent for in terms of coordinated feature adoption across competing tools.
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Supervised FinetuningDuring supervised fine-tuning, the model is trained on a large corpus of high-quality prompts curated for difficulty, quality, and domain diversity. Prompts are sourced from open datasets and labeled using custom models to identify domains and analyze distribution coverage. To address gaps in underrepresented or low-difficulty areas, additional prompts are synthetically generated based on the pre-training domain mixture. Empirical analysis showed that most publicly available datasets are dominated by low-quality, homogeneous, and easy prompts, which limits continued learning. To mitigate this, we invested significant effort in building high-quality prompts across domains. All corresponding completions are produced internally and passed through rigorous quality filtering. The dataset also includes extensive agentic traces generated from both simulated environments and real-world repositories, enabling the model to learn tool interaction, environment reasoning, and multi-step decision making.