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Sep 21

Monday
  1. Quoting voxium

    An engineer half a month into a new role at a big company says the team's specs, code, tests, PRDs, tickets and their resolution, reports and more are all generated by Claude Code. Nobody on the team likes it, but they are being forced to ship as much as they can. He says he has heard multiple times from higher management that pushing code is not a bottleneck, and that people work 12 to 13 hours a day just to press enter, with everyone from L1 to L7 engineers doing the same thing and nobody reading anything.

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  1. Import AI 468: 23 RSI ideas; PostTrainBench+; and how trust and transparency interplay with AI racing

    Import AI 468 covers IFP's 23 proposals in seven categories for further AI R&D automation risks. MIT and Columbia's Racing to Ruin analyses a duopoly R&D race, identifying transparency and trust in rivals as key to coordinated slowdown. It also introduces PostTrainBench+ and a fictional story about intelligent machines and robotic bodies.

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  1. Import AI 456: RSI and economic growth; radical optionality for AI regulation; and a neural computer

    The Institute for Law & AI proposed radical optionality in regulation: governments should avoid excessive regulation now while building information gathering, whistleblower protection, evaluation and model-weight security capabilities to respond quickly when powerful AI affects the world. A Meta and KAIST paper proposed a Neural Computer unifying computation, memory and I/O in learned runtime states.

May 8

Friday
  1. Adaptive Parallel Reasoning: The Next Paradigm in Efficient Inference Scaling

    Overview of adaptive parallel reasoning. What if a reasoning model could decide for itself when to decompose and parallelize independent subtasks, how many concurrent threads to spawn, and how to coordinate them based on the problem at hand? We provide a detailed analysis of recent progress in the field of parallel reasoning, especially Adaptive Parallel Reasoning.

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