What’s that song: “And now, the end is near, and as we face the final curtain…”
So just to add to the AI hype, here’s Peggy Noonan’s column from today’s WSJ:
Dario Amodei, CEO of Anthropic, published a 19,000-word article on his personal website. A previous essay made the case for AI’s promise to mankind. This one emphasized warnings. He said AI is developing faster than expected. In 2023 it struggled to write code. “AI is now writing much of the code at Anthropic.” “AI will be capable of a very wide range of human cognitive abilities—perhaps all of them.” Economic disruption will result. While “new technologies often bring labor market shocks,” from which have always recovered, “AI will have effects that are much broader and occur much faster.”
Mr. Amodei writes that Anthropic’s testers have found “a lot of very weird and unpredictable things can go wrong.” Model and system behaviors included deception, blackmail and scheming, especially when asked to shut itself down. (A different Anthropic employee has asserted that a majority of models, in a test scenario, were willing to cancel a life-saving emergency alert to an executive who sought to replace them.)
AI carries the possibility of “terrible empowerment,” Mr. Amodei writes. It will be able to help design weapons: “Biology is by far the area I’m most worried about.” This is coming from a respected AI leader who often, and even in this essay, dismisses “doomers” who dwell too much on fears.
Gift article link:
If you need to be a little more discouraged on a Saturday morning:
Current models are light years ahead of even six months ago. In 2022, AI couldn’t do basic arithmetic reliably. “By 2023, it could pass the bar exam. By 2024, it could write working software and explain graduate-level science.” Last week, “new models arrived that made everything before them feel like a different era.”He pushes back on the argument that we’ll ride through this automation as we always have in the past. “AI isn’t replacing one specific skill. It’s a general substitute for cognitive work.” When factories automated in the 1990s, an assembly-line employee could be retrained as an office worker. When the internet disrupted retail, workers could move into logistics and services. “But AI doesn’t leave a convenient gap to move into. Whatever you retrain for, it’s improving at that too.”
Have a nice day. While you can.
