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AI progress to be linear, not exponential, due to 'lossy self-improvement'

AI progress is accelerating due to advanced models and coding assistants, leading to significant economic and job market shifts. However, the author argues against the concept of rapid recursive self-improvement (RSI) leading to a singularity. Instead, they propose that progress will follow a more linear path due to 'lossy self-improvement' (LSI), where friction and repetition limit exponential gains despite increased compute and agents. AI

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RANK_REASON The article is an opinion piece by a named author discussing the future trajectory of AI development and its implications.

Read on Interconnects (Nathan Lambert) →

AI progress to be linear, not exponential, due to 'lossy self-improvement'

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  1. Interconnects (Nathan Lambert) TIER_1 · Nathan Lambert ·

    Lossy self-improvement

    The case for why self-improvement is real but it doesn't lead to fast takeoff.