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The End of Finetuning

OpenAI's deprecation of finetuning APIs marks the end of an era, yet top labs are increasing open model RLFT. This AI news recap also covers research benchmarks, inference systems, product releases, agent tools, and supply chain attacks.

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The End of Finetuning
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Summary only

Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • OpenAI discontinues finetuning APIs, signaling a shift away from finetuning.
  • Top teams like Cursor and Cognition are actually increasing open model RLFT.
  • Research benchmarks are becoming harder, and agent systems are advancing in science and math.
  • Inference infrastructure is moving to specialized stacks, with Blackwell racks becoming reference for large MoE serving.

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

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