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There are serious people trying to figure out what that looks like. Check out the recent Freakonomics episode with Gina Raimondo.


But that happens with humans as well. You are having the same experience with an AI that many managers have with their direct reports.

The smarter AI gets, the easier it becomes to move the AGI goalposts. Seems at this point there are people who will refuse to call anything less than omniintelligence AGI.

(And then the excuse will be, but it’s not omniscient! And even if it were, is it omnipotent?)


My success rate for solving software engineering challenges encountered in my day jobs has been near 100% for my entire career. I can only think of a few tasks I kicked back and said they were impossible. For example, after trying to get a signal processing system working reliably I decided to sit down and calculate the actual limits of the channel we were sending the data over and found that from a basic estimation it would not be possible to do. In start ups you don't really get to get stuck in a spiral and not fix things.

I find agents often get into these cases during research tasks.


Yep, people are typing comments with a computer that is powered by several layers of software that will be stored on another computer powered by several layers of software to be read on a computer also powered by layer of software. And then they hope to make the argument that humans cannot produce software.


> * Continue tons of hype about how good they are without delivering, going to great lengths to publish how their model "hacked" its way out of a sandbox they misconfigured.

That wasn’t Anthropic. Clearly not a well informed take.


That box is very clearly labeled “The council of Europe”. The label is on the left side of the box, right under the “Europe” label you mention.


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