But, simply just having your loops build everything without having some guardrails around the blast radius without having guardrails around how you think about quality, I think is a recipe for disaster.
Then you had code review which gave you another level of feedback. You could roll out internally more frequently. And everybody was using Facebook for all kinds of stuff, personal and internal business stuff. So whatever feature you developed, people would start using it immediately. So you get another round of feedback. Then we had this phased roll out process where you'd start rolling your stuff out. If there was a problem, the blast radius would be limited to a a few million people.
Uh but whenever we do a systematic study, um any given problem, an AI tool has a success rate of maybe 1 or 2%. Uh it's just that it's just that they can apply at scale and and you just pick the winners, it looks great.
Canonical’s LXD works out-of-the-box on Ubuntu, and is a great way to sandbox an agent into a disposable environment where the blast radius is limited should the agent make a mistake.
And then the top down belief is the thing that sustains you when the experiments contradict you. Because if you just trust the data all the time, well, sometimes you can be doing a correct thing, but there's a bug.
A reminder that my novel Metallic Realms is available at a bookstore near you. Reviews call it "brilliant" (Esquire), "a total blast" (Chicago Tribune), "unrelentingly smart and inventive" (Locus), and "just plain wonderful" (Booklist). Maybe the perfect holiday gift for the booklover in your life?
It's like something around 10% give or take three or four percent of people depending on the survey are using this say they're using this every day. Another sort of 15 to 20% of people say they're using it every week.
I found that the book consistently overstates the problem of lack of sleep, sometimes egregiously so. It misrepresents basic sleep research and contradicts its own sources.
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