Man the cope on HN is something else. Neighbour, 99.9(9)% of professional mathematicians don't go around creating new mathematics. The goalposts have been moved so far that we're now at "AI isn't Grothendieck yet".
I still think it's correct. Execution is the part that matters.
Almost everyone I know "came up with" some startup, ex. Uber before Uber existed, yet none of them did it. I have personally thought of maybe 2 startup ideas that later came into existence.
Come to think of it, people in my circle that have ideas left and right are _still_ not founding companies even with modern LLM's that supposedly solved programming, clearly there is a disconnect somewhere.
In university in 1995/96 I remember having to put my bank card details into a website to pay for something. I hated the idea that some third party would probably be storing these details and could in theory abuse them or leak them.
I was thinking it would be great to have a trusted middle man to use to pay for things that wouldn't expose my own bank card details to every website, or to be able to generate one off transaction numbers.
Possibly "bad ideas are cheap". A lot of people got tired of "ideas guys" who never build anything themselves. The best case of a raw idea is an uncut diamond, it will inevitably require work.
Most people (and most companies) can't tell bad ideas from good ideas. This is also true of LLMs to some degree. They need post-training in specific domains (e.g. coding) to become competent in that specific area.
The lovely irony of a bleeding edge AI company being afflicted by the most mundane problem of all software engineering—the goldfish attention span of human coders.
Have any of you tried their support bot? Its insane bleeding edge AI company gets away with such experience. The bot decides the issue is solved and closes the ticket. WTFFF.
similar to claude code, they need to revolutionise customer support. Maybe from a ticket, if the agent decides if its real bug, and legitimate, it will go on and fix it.
>The lovely irony of a bleeding edge AI company being afflicted by the most mundane problem of all software engineering—the goldfish attention span of management
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