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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Episodes
This startlingly fast progress in LLMs was driven both by scaling up LLMs and doing schlep to make usable systems... more
Most experts were surprised by progress in language models in 2022 and 2023. There may be more surprises ahead, so... more
Most new technologies don’t accelerate the pace of economic growth. But advanced AI might do this by massively increasing the... more
Both AI fears and AI hopes rest on the belief that it may be possible to build alien minds that... more
Once a lab trains AI that can fully replace its human employees, it will be able to multiply its workforce... more
Researchers could potentially design the next generation of ML models more quickly by delegating some work to existing models, creating... more
The single most important thing we can do is to pause when the next model we train would be powerful... more
If we’ve decided we’re collectively fine with unleashing millions of spam bots, then the least we can do is actually... more
Many fellow alignment researchers may be operating under radically different assumptions from you: https://www.planned-obsolescence.org/disagreement-in-alignment/
If we can accurately recognize good performance on alignment, we could elicit lots of useful alignment work from our models,... more