More likely in my opinion it's the context that matters here. If people know they're trying to be convinced of something and know they're talking to an AI, they may feel like they can trust (what they consider to be) an unbiased and rational AI. There's probably a fallacy associated with the assumption that an AI convincer is more rational and fact based, while it's more probable that the AI in the real world is, in fact, funded and trained by a think tank that wants you to vote against your own self-interests.

We make math a joy to play with and spark wonder through experience.

Prime numbers literally come to life, sprouting legs and personalities, as signals from the spirit world animate them; but when your best friend is portaled to the spirit world and NullCorp tried to shut down all research, you find yourself battling and puzzle-solving across a myriad of landscapes to bridge the two worlds and get your friend back.

Tests are ongoing! Reach out if you want to take a dip into our infinite universe.

chuckle

Re-reading the Lean Startup to hone our GTM, market validation and growth engine.

(mathbreakers.com)

Is there anywhere an image example of a superior layout for example with n>={100,1000,10000}..? I would love to see it. I am imagining it would look somewhat like a sloppy pizza.

Commit with one character YAML difference? Check.

Commit with 2-3 YAML lines just to add the right logging? Check.

Wait 5+ minutes for a YAML diff to propagate through our test pipeline for the nth time today? .. sigh .. check

BUT, after ironing all these things out (and running our own beefy self-hosted runner which is triggered to wake up when there's a test process to snack on), it's .. uh.. not so bad? For now?

Is that so much to ask?

Could the next "Apple" produce such hardware/software stack to black box this for the consumer -- simply buy "Pineapple" products and guarantee this stuff can't touch you (user obsfuciation for all external platforms could be a hard technical challenge, I know - hence the big value if delivered)

  obj.friends.filter(x=>{ return x.city=='New York'})
  .sort((a, b) => a.age - b.age)
  .map(item => ({ name: item.name, age: item.age }));

am I missing something?

At first I was frustrated but my boss said it was actually a perfect sequence, since that "crappy code" did generate a working demo that our future customers loved, which gave us the validation to re-write. And I agree!

LLMs are just another tool in the chest; a curious, lighting fast jr developer with an IQ of 85 who can't learn and needs a memory wipe whenever they make a design mistake.

When I use it knowing its constraints it's a great tool! But yeah if used wrong you are going to make a mess, just like any powerful tool