Even even worse, angry all-caps shouting will make it more stupid, because it pushes you into a significantly stupider vector subspace full of angry all-caps shouting. The only thing that can possibly save you then is if you land in the even tinier Film Crit Hulk sub-subspace.
I touch on this a bit in the piece I wrote for normies, it helped a lot of people I know understand the tech a bit better.
Is this true for anything beyond the simplest LLM architectures? It seems like as soon as you introduce something like CoT this is no longer the case, at least in terms of mechanism, if not outcome.
Disregarding the grandfathered free accounts, own domain is $7.20/user/month on gmail, €5/month on Proton. On microsoft that's business tier feature and AFAIK not supported at all on Yahoo.
Many people use it like this - this is playing to its strengths, rather than trying to work around its weaknesses. "What's the idiomatic X language way to do Y?" gets you a solid, useful answer in seconds.
But it's just a damn good tool, not the apocalypse/the thing that lets you finally fire everyone. So it kind of gets lost in the hype.
>Cornell, for example, had a limited capacity to pay software developers to maintain and upgrade the site, which still has a very no-frills look and feel.
I am not a software engineer, although I do write programs. What is it about digital infrastructure that requires maintenance? In the natural world, there is corrosion, thermal fluctuation, radiation, seismic activity, vandalism, whathaveyou. What are the issues facing the arxiv demanding the attention of multiple people 'round the clock?
They have to update the software stack, replace usage of deprecated APIs, support new latex packages etc. They could probably minimize these by limiting the scope but just keeping a small, tightly scoped software functional is always boring, people want to work on fun new features, they enjoy the brand recognition and feel like they should do more stuff.
I wonder when they will introduce the algorithmic feed and the social network features.
It's very unclear to me why AI companies are so focused on using LLMs for things they struggle with rather than what they're actually good at; are they really just all Singularitarians?
Or that having spent a trillion dollars, they have realised there's no way they can make that back on some coding agents and email autocomplete, and are frantically hunting for something — anything! — that might fill the gap.
I'm baffled that people, unknown to me, have apparently been considering Claude Code, the program, some kind of "secret sauce". It's a tool harness. Claude could one-shot write it for you, lol.
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