OpenAI O3-Mini

Post by mathieuh » Sat, Feb 01, 2025, 3:24 AM UTC

torben-friis wrote: post #527

mvkel wrote: post #510

I've been using cursor since it launched, sticking almost exclusively to claude-3.5-sonnet because it is incredibly consistent, and rarely loses the plot. As subsequent models have been released, most of which claim to be better at coding, I've switched cursor to it to give them a try. o1, o1-pro, deepseek-r1, and the now o3-mini. All of these models suffer from the exact same "adhd." As an example, in a NextJS app,…

My experience with cursor and sonnet is that it is relatively good at first tries, but completely misses the plot during corrections. "My attempt at solving the problem contains a test that fails? No problem, let me mock the function I'm testing, so that, rather than actually run, it returns the expected value!" It keeps doing that kind of shenanigans, applying modifications that solve the newly appearing problem whi…

Post by d357r0y3r » Sat, Feb 01, 2025, 3:40 AM UTC

chrismsimpson wrote: post #589

mvkel wrote: post #510

I've been using cursor since it launched, sticking almost exclusively to claude-3.5-sonnet because it is incredibly consistent, and rarely loses the plot. As subsequent models have been released, most of which claim to be better at coding, I've switched cursor to it to give them a try. o1, o1-pro, deepseek-r1, and the now o3-mini. All of these models suffer from the exact same "adhd." As an example, in a NextJS app,…

I’ve coded in many languages over the years but reasonably new to the TS/JS/Next world. I’ve found if you give your prompts a kind long form “stream of consciousness”, where you outline snippets of code in markdown along with contextual notes and then summarise/outline at the end what you actually wish to achieve, you can get great results. Think a long form, single page “documentation” type prompts that alternate be…

Post by chefandy » Sat, Feb 01, 2025, 3:41 AM UTC

fud101 wrote: post #605

inerte wrote: post #538

Earlier quoted context omitted.

What works nice also is the text to speech. I find it easier and faster to give more context by talking rather than typing, and the extra content helps the AI to do its job. And even though the speech recognition fails a lot on some of the technical terms or weirdly named packages, software, etc, it still does a good job overall (if I don’t feel like correcting the wrong stuff). It’s great and has become somewhat of…

you mean speech to text right?

Post by noahbp » Sat, Feb 01, 2025, 3:48 AM UTC

d357r0y3r wrote: post #623

chrismsimpson wrote: post #589

Earlier quoted context omitted.

I’ve coded in many languages over the years but reasonably new to the TS/JS/Next world. I’ve found if you give your prompts a kind long form “stream of consciousness”, where you outline snippets of code in markdown along with contextual notes and then summarise/outline at the end what you actually wish to achieve, you can get great results. Think a long form, single page “documentation” type prompts that alternate be…

By the time I've fully documented and explained what I want to be done, and then review the result, usually finding that it's worse than what I would have written myself, I end up questioning my instinct to even reach for this tool. I like it for general refactoring and day to day small tasks, but anything that's relatively domain-specific, I just can't seem to get anything that's worth using.

Post by Abishek_Muthian » Sat, Feb 01, 2025, 3:58 AM UTC

mvkel wrote: post #510

I've been using cursor since it launched, sticking almost exclusively to claude-3.5-sonnet because it is incredibly consistent, and rarely loses the plot. As subsequent models have been released, most of which claim to be better at coding, I've switched cursor to it to give them a try. o1, o1-pro, deepseek-r1, and the now o3-mini. All of these models suffer from the exact same "adhd." As an example, in a NextJS app,…