gnatolf

That crucially depends on what the index achieves. What do you aim for? Just lookup of symbols? Architectural information? Data flow systems?

But a codebase is a state machine, and given the somewhat random style of LLM outputs, those amplify to an extent that the recorded intent needs to include the outputs too, in a way? Or are you basically doing high detail specs?

It's clear they mean the 'exposed' joint where humans assume the knees, and where one can see the leg bend. Technically you're correct, but it's just that. Please answer in better faith instead of well akshually.

I don't disagree, but AIs 'willingness' to do the most painful chores mitigates a lot, I think

Well, joke's on me: I use that extension too. And I never close my browser.

While I don't disagree, memory certainly was more of a restrictions on us humans than it is on llms. Therefore, the answer may not be as obvious as it seems. We build abstractions to reduce (memory) footprint of features, right?

All over Germany, and it's been around much much longer than the fear of having something slipped in your drink.

Which, to be fair, overall probably still saved quite some time. The compile times alone would've meant they wasted so much more time by repeated earlier checks.

Whether a looming deadline changed the perception about that, we don't know ;-P

Interestingly enough, precise search is on the way out.

'liquid metal' sounds cool. It's probably a metallic glass. I super dislike that it seemingly will be synonymous with the brand name by Apple even though that stuff has been around for decades.

Not that there are particularly many places where this is used - mostly because it really is just very expensive. In the awesome position that Apple is in, economic feasibility is so much easier to achieve, with like tens of millions of guaranteed parts to be preduced.

Well, there is a financial 'sink' - stockpiles and ammunition or other non-reusable military gear are basically the definition of money 'destroyed'. Their political value is almost non-existent actual money. If any, at all.

Sorry but isn't the bottleneck then simply to do even relevant things? Like how much of a qualified backlog do you have that your pipeline does not run dry?

So let's put things we're interested in in the benchmarks.

I'm not against pelicans!