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kfse

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With respect to bowling alleys, for things like professional shows or food safety it's a bit more than "nobody got fired for buying IBM". The stuff's gotta be able to survive field conditions and not cost millions of dollars in refunded show tickets or spoiled foods. Manufacturers test and make themselves accountable for this. Cheap, customized modules work until they don't, and by then the engineer who put the custom system together in the first place isn't there to fix them. Who would you call when some quick-and-dirty integration code that was burned into these embedded modules without ever being put in a source versioning system fails in some weird edge condition? OP is an SRE, it's ok for him, but the average farmer or show operator doesn't have the skill.

Claude Science 22 days ago

I've worked with similar tools and while they're impressive, it's too often the case that the LLM literally makes up fake but realistic looking data and pretends that it's real. This includes pretty deep fakery like setting up mock database connectors so that it looks like you're fetching data from the right place, but it's just getting synthetic data

How does this guard against that?

I agree that a lot of progress in math comes from refactorings and novel concepts that generalize neatly. My point is that those breakthroughs don't happen through refactoring in a vacuum, they happen because the refactoring is undertaken with a specific motivation. It often ends up having more general applications than the original motivation, but doing it without a specific motivation doesn't usually yield progress.

It's the same as with software refactoring. If you refactor without a sense of what you want to get out of the refactor, how do you know whether you're refactoring the right things?

(Also just my opinion)

All this would be way more interesting if it actually helped to demonstrate a novel mathematical fact. Right now it's more like notational play.

Just serialize stuff to text if somebody wants to "edit" and then parse it back when they are done. What happens to the text in between of course is the programmer's problem.

I think that's working against the way that a lot of people write code.

You need things like syntax highlighting and code completion even while typing something like "my_var = " on a line. A normal parser doesn't work here, and bailing out to make it the programmer's problem leaves the programmer with a lot of work

GPT-5.4 5 months ago

Until it had backup storage. Which ended up being useful in 2011 when tens of thousands of mailboxes were deleted due to a software bug and needed to be recovered from tape...