Codex/CC and other OpenAI and Anthropic products like Dots, are examples of how quickly real products can be built today. But to me, they feel more like mediocre products bloated with feature slop. Nothing extraordinary…
Simply adding features doesn't make the product or technology exceptional. I think the industry know in the phase like "ok, i can close my one thousand github tickets in a week". But that won't make their product or…
Apparently, for the first time in history, a $1T company is trying to solve a problem that none of its paying customers actually have.
I am curious what does the first and probably the last human who solved a millennium problem thinks about this.
It like saying before the ai era that you don’t have a problem you can’t solve without ai
Almost everything is true about Azure as well, especially obscure pricing and complexity in absolutely everything.
Where are the solutions to the problems?
Where can I find solutions to the problems in the course?
We have been using empty interfaces to simulate F# discriminated unions for the last 5+ years. It works like a charm. The problem "not all cases are handled in the switch" occurs very rarely (once per 50k lines of code)…
Codex/CC and other OpenAI and Anthropic products like Dots, are examples of how quickly real products can be built today. But to me, they feel more like mediocre products bloated with feature slop. Nothing extraordinary…
Simply adding features doesn't make the product or technology exceptional. I think the industry know in the phase like "ok, i can close my one thousand github tickets in a week". But that won't make their product or…
Apparently, for the first time in history, a $1T company is trying to solve a problem that none of its paying customers actually have.
I am curious what does the first and probably the last human who solved a millennium problem thinks about this.
It like saying before the ai era that you don’t have a problem you can’t solve without ai
Almost everything is true about Azure as well, especially obscure pricing and complexity in absolutely everything.
Where are the solutions to the problems?
Where can I find solutions to the problems in the course?
We have been using empty interfaces to simulate F# discriminated unions for the last 5+ years. It works like a charm. The problem "not all cases are handled in the switch" occurs very rarely (once per 50k lines of code)…