In my mind it’s not too much different than cheap contractor code that I already have to deal with on a regular basis…

E.g pumping out a ton of logic to convert one data structure to another. Like a poorly structured form with random form control names that don’t match to the DTO. Or single properties for each form control which are then individually plugged into the request DTO.

After rearchitecting the foundations (dumping bootstrap, building easy-to-use form fields, fixing hardcoded role references 1,2,3…, consolidating typescript types, etc.) it makes much better choices without needing specific guidance.

Codex/Claude Code won’t solve all your problems though. You really need to take some time to understand the codebase and fixing the core abstractions before you set it loose. Otherwise, it just stacks garbage on garbage and gets stuck patching and won’t actually fix the core issues unless instructed.

For a laptop user who likes to game, you’ll definitely encounter some issues based on my experience. Better than it was 2 years ago, but it’s not a seamless experience (laptops!!) that you’d expect from posts like these.

For a Linux savvy user, it’s definitely worth the switch. I haven’t had any ads in months and it’s magical

Not everyone is the biggest cat in town with infinite money and expertise. I have no intention of leaving anytime soon, so I have confidence that the code that was generated by the AI (after confirming with our guy who is the insurance OG) is solid improvement over what was before.

I work in custom software where the gap in non-LLM users and those who at least roughly know how to use it is huge.

It largely depends on the prompt though. Our ChatGPT account is shared so I get to take a gander at the other usages and it’s pretty easy see: “okay this person is asking the wrong thing”. The prompt and the context has a major impact on the quality of the response.

In my particular line of work, it’s much more useful than not. But I’ve been focusing on helping build the right prompts with the right context, which makes many tasks actually feasible where before it would be way out of scope for our clients budgets.

It is fantastic at reasonable scale ports / refactors, even with complicated subject matter like insurance. We have a project at work where Pro has saved us hours of time just trying to understand the over complicated that is currently in place.

For context, it’s a salvage project with a wonderful mix of Razor pages and a partial migration to Vue 2 / Vuetify.

It’s best with logic, but it doesn’t do great with understanding the particulars of UI.

Pretty much everyone I know consumes TikTok style content these days. I personally have blocked myself from this stuff via deleting the Insta, YouTube and I even wrote a TamperMonkey script to block myself from getting trapped down the rabbit hole.

Self shout out: https://greasyfork.org/en/scripts/534969-begone-youtube-shor...

It seems a little mean to tell him to stop coding forever when his intentions and efforts seem pretty positive for the health of the project.

Haha, cool site

Just about all of them had some kind of issue, which is really fun when your PM has a USB port not work randomly.

Ended up going back to HP laptops, 30% cheaper for the same specs and they just work consistently.

Would love to hear a hobbyist perspective, Frameworks are not a good choice for a business but I would be interested to hear if the replaceable parts / ports provided value for someone. My gut feeling is that something that can't be replaced easily in the Frameworks will die and it'll just end up being cheaper to replace the whole laptop.

Generated like 10 sub-items for me, 5 of which were relevant. But to remove the 5 junk ones, you have to open the dropdown for each and hit delete.

It's tricky since the future of AI isn't something anyone can really prove / disprove with hard facts. Doomers will say that the rate of improvement will slow down, and anti-doomers will say it won't.

My personal believe is that with enough compute, anything is possible. And our current rate of progress in both compute and LLM improvement has left Doomers with shaky ground to discount the eventuality of an AGI being developed. This just leaves ASI as a true question mark in my mind.

Not so sure about the reducing costs argument anymore though, you'd have to use LLMs a ton to make buying brand new GPUs worth it (models are pretty reasonably priced these days).

It seems unlikely that someone living in the US would take the test for someone else, since the risk is just too high. I'm pretty sure this is just straight up fraud you can get in trouble for. My bet is that this was a scam setup outside of the country, and they used a stolen identity to get the paperwork cleared.

My company is pretty small, so we caught it within an hour of getting him onboarded. But I can see this being trickier in bigger companies, where the hiring process is more disconnected from the team they get assigned to.