This is a low-effort post. I mostly want to get other people’s takes and express concern about the lack of detailed and publicly available plans so far. This post reflects my personal opinion and not necessarily that of other members of Apollo Research. I’d like to thank Ryan Greenblatt, Bronson Schoen, Josh Clymer, Buck Shlegeris, Dan Braun, Mikita Balesni, Jérémy Scheurer, and Cody Rushing for comments and discussion.

I think short timelines, e.g. AIs that can replace a top researcher at an AGI lab without losses in capabilities by 2027, are plausible. Some people have posted ideas on what a reasonable plan to reduce AI risk for such timelines might look like (e.g. Sam Bowman’s checklist, or Holden Karnofsky’s list in his 2022 nearcast), but I find them insufficient for the magnitude of the stakes (to be clear, I don’t think these example lists were intended to be an extensive plan).

For several years now, technologists have rung alarm bells about the potential for advanced AI systems to cause catastrophic damage to the human race.

From deciphering burnt Roman scrolls to reading crumbling cuneiform tablets, neural networks could give researchers more data than they’ve had in centuries.

Author(s): Towards AI Team Introduction Continue reading on Towards AI » Published via Towards AI.

Insane Clown Posse’s Joseph Utsler, better known by his stage persona Shaggy 2 Dope, has an AI clone — and apparently, he’s a fan.

Hosted on the Google-backed Character. AI service — which, as a sidebar, Futurism has investigated extensively, repeatedly finding horrible things — the ICP cofounder’s digital doppelganger sounds like a slightly robotic version of the real thing.

The effect is so uncanny that Mr. Dope himself decided to hit the AI up and bring it onto his livestreamed vlog, “The Shaggy Show.”

Researchers developed a “waveform movement” technology enabling robots to express emotions through natural facial gestures.