AI-Generated Audio for Planned Obsolescence

Ajeya Cotra, Kelsey Piper
AI-Generated Audio for Planned Obsolescence

Audio versions of posts at https://www.planned-obsolescence.org/ Read by AI trained on the author's voice. Please excuse any stiltedness -- it's learning!

  1. NOV 21

    OpenAI's CBRN tests seem unclear

    OpenAI says o1-preview can't meaningfully help novices make chemical and biological weapons. Their test results don’t clearly establish this.https://planned-obsolescence.org/openais-cbrn-tests-seem-unclear

    13 min

  2. AUG 20

    Dangerous capability tests should be harder

    We should be spending less time proving today’s AIs are safe and more time figuring out how to tell if tomorrow’s AIs are dangerous: planned-obsolescence.org/dangerous-capability-tests-should-be-harder

    9 min

  3. 10/10/2023

    Scale, schlep, and systems

    This startlingly fast progress in LLMs was driven both by scaling up LLMs and doing schlep to make usable systems out of them. We think scale and schlep will both improve rapidly: planned-obsolescence.org/scale-schlep-and-systems

    9 min

  4. 08/29/2023

    Language models surprised us

    Most experts were surprised by progress in language models in 2022 and 2023. There may be more surprises ahead, so experts should register their forecasts now about 2024 and 2025: https://planned-obsolescence.org/language-models-surprised-us

    9 min

  5. 06/06/2023

    Could AI accelerate economic growth?

    Most new technologies don’t accelerate the pace of economic growth. But advanced AI might do this by massively increasing the research effort going into developing new technologies.

    5 min

  6. 05/01/2023

    The costs of caution

    Both AI fears and AI hopes rest on the belief that it may be possible to build alien minds that can do everything we can do and much more. AI-driven technological progress could save countless lives and make everyone massively healthier and wealthier: https://planned-obsolescence.org/the-costs-of-caution

    4 min

  7. 04/12/2023

    Continuous doesn't mean slow

    Once a lab trains AI that can fully replace its human employees, it will be able to multiply its workforce 100,000x. If these AIs do AI research, they could develop vastly superhuman systems in under a year: https://planned-obsolescence.org/continuous-doesnt-mean-slow

    4 min

  8. 04/04/2023

    AIs accelerating AI research

    Researchers could potentially design the next generation of ML models more quickly by delegating some work to existing models, creating a feedback loop of ever-accelerating progress. https://planned-obsolescence.org/ais-accelerating-ai-research

    5 min
See All (16)

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Audio versions of posts at https://www.planned-obsolescence.org/ Read by AI trained on the author's voice. Please excuse any stiltedness -- it's learning!

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