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We predict that the impact of superhuman AI over the next decade will be enormous, exceeding that of the Industrial Revolution.
We wrote a scenario that represents our best guess about what that might look like.1 It’s informed by trend extrapolations, wargames, expert feedback, experience at OpenAI, and previous forecasting successes.
Daniel Kokotajlo (TIME100, NYT piece) is a former OpenAI researcher whose previous AI predictions have held up well.
Eli Lifland co-founded AI Digest, did AI robustness research, and ranks #1 on the RAND Forecasting Initiative all-time leaderboard.
Thomas Larsen founded the Center for AI Policy and did AI safety research at the Machine Intelligence Research Institute.
Romeo Dean is completing a computer science concurrent bachelor’s and master’s degree at Harvard and previously was an AI Policy Fellow at the Institute for AI Policy and Strategy.
Scott Alexander, blogger extraordinaire, volunteered to rewrite our content in an engaging style; the fun parts of the story are his and the boring parts are ours.
We wrote a scenario that represents our best guess about what that might look like.1 It’s informed by trend extrapolations, wargames, expert feedback, experience at OpenAI, and previous forecasting successes.
Daniel Kokotajlo (TIME100, NYT piece) is a former OpenAI researcher whose previous AI predictions have held up well.
Eli Lifland co-founded AI Digest, did AI robustness research, and ranks #1 on the RAND Forecasting Initiative all-time leaderboard.
Thomas Larsen founded the Center for AI Policy and did AI safety research at the Machine Intelligence Research Institute.
Romeo Dean is completing a computer science concurrent bachelor’s and master’s degree at Harvard and previously was an AI Policy Fellow at the Institute for AI Policy and Strategy.
Scott Alexander, blogger extraordinaire, volunteered to rewrite our content in an engaging style; the fun parts of the story are his and the boring parts are ours.
This is a tarpit, modeled after Nepenthes, intended to catch unwelcome web crawlers, but with a slightly different, more aggressive intended usage scenario. The core idea is to configure a reverse proxy to serve content generated by iocaine to AI crawlers, but normal content to every other visitor. This differs from Nepenthes, where the idea is to link to it, and trap crawlers that way. Not with iocaine, where the trap is laid by the reverse proxy.
iocaine does not try to slow crawlers. It does not try to waste their time that way - that is left up to the reverse proxy. iocaine is purely about generating garbage.
iocaine does not try to slow crawlers. It does not try to waste their time that way - that is left up to the reverse proxy. iocaine is purely about generating garbage.