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[AINews] How to land a job at a frontier lab (on Pretraining)

A quiet day before Google I/O lets us amplify a notable blogpost by Vlad Feinberg on job preparation for pretraining roles at frontier AI labs, alongside major model releases (Cursor Composer 2.5, Qwen3.7), local inference speedups via MTP in llama.cpp, and research on MoEs, RL, and agent evaluation.

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[AINews] How to land a job at a frontier lab (on Pretraining)
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Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

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Key points

  • Vlad Feinberg shares job tips for frontier labs, emphasizing kernel-level optimization and agent work.
  • Cursor releases Composer 2.5 and reveals training a much larger model with 10× compute.
  • MTP support in llama.cpp boosts local inference speeds by up to 78%.
  • Anthropic acquires SDK platform Stainless, deepening developer infrastructure integration.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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