They are like us. If you could take a baby from the past and let it grow up in our time, you wouldn't be able to distinguish it from a baby born in modern times.
If you see value in travelling to other countries and appreciate experiencing the different human cultures there, you should also appreciate experiencing human cultures from the past.
They are separated from us not by distance but by time which makes it harder to experience their culture.
So much was lost that we can only get glimpses on how lives were back then. So anything that expands our knowledge on the variety of human beings experiences is worth it.
They don't. After running, for the values in small_numbers from 0 to smlen-1 they are equivalent.
But if the last value of numbers[] is not smaller than 500, small_numbers[smlen] will contain that value for the first version whereas the second version does not write to small_numbers[smlen].
The more context an LLM gets, the more likely it will start to ignore instructions.
If the LLM runs a context compression, all bets are off. There's a reason Anthropic upped the context to 1M tokens to reduce the chance of this from happening.
> If TRIDGE of all people can't handle #LLMs without a slopocalypse, no one can.
> That means you. That means someone you admire who is intelligent and careful and considerate. Not even someone whose opinions on technology you respect a great deal.
I disagree. The amount of commits is not from somebody who is carefully reviewing the new code and considering the changes done. It's from somebody who thinks they are in control and think they can guardrail the AI.
I've seen this at work as well. Maybe it's a small case of the braineater that so many tech bros get when they get older. But they talk about the AI as if it were a being that can be reasoned with and not that it's just a statistical interpolator and autocompleter.
I know when I'm vibe coding. Just last week I needed 5 colors for a green to read gradient for visualisation some states. I ended up with a script that outputs arbitray color gradients in 5 different colorspaces (including a colorspace for which AFAIK there's no support in Ruby as of now) and additionally also considers different color vision deficiencies.
Is it useful? Yes. Would I run this code in production? Hell no.
https://bhaak.net/