More than half of PHP's problem was PHP's own online manuals that allowed any Bozo to confidently post idiotic answers and copy other Bozos' idiotic confident answers. It's not like confident idiocy is a new thing with LLMs -- they were trained on it.
Then React turned that confidently idiotic folklore into an ecosystem: every confident answer depends on which year it was posted, which version it assumes, and which of six abandoned libraries it recommends. The LLM blends them into a seventh approach that never existed.
For now, I suspect Svelte's shorter, cleaner history with fewer wrong paths taken and retreated from will mean there are fewer incoherent competing approaches for LLMs to blend together into confident hallucinations.
Perhaps less contradictory training data is better than more incoherent training data.
LLMs may not experience the mind-expanding joy that humans do from using Svelte or the mind-numbing frustration that humans do from using React, but they can inherit the coherent focus of Svelte and incoherent confusion of React without sharing Svelte's pleasure or React's pain.
Tutorials are often written in an imperative style that's a little like prompt injection. There's a lot more writing out there on "how to make a todo app demo" than for the complex shit.
Honestly, models are torrents will end any effort from the big AI labs to stop open models. No way to prevent weights from being shared, just like mobies. Genie is out of the bottle
I searched and searched for way too long and could not find any information on whether or not aiohttp supports HTTP/2 or 3... do you know or have any reference that explains what all is supported?
As a developer, none related to the model. It’s faster, lighter, makes less assumptions.
For a casual consumer, it is no doubt a worse chat buddy. Knows less historical facts à la Wikipedia.
But I’m not really using LLMs for that kind of entertainment and I don’t rely on them for fact-checking anyway. It’s almost worse to rely on a smoother talker for something it can’t possibly know.
For feeding in thousands of daily updates and getting it to predict the next one based on a crude list of tasks, it’s great. For completing code files in my style, also great. It can also handle most small customer service issues and refunds related to my apps on App Store, the back and forth to collect data from users.
For a booking engine I run with a partner, it is great at confirming bookings and following up. It handles cancellations which are about 40% of confirmed bookings due to the nature of the business. I used to feel like I was wasting my time with them - there is no way we can charge for it. Having basically a smart bot do it makes everyone happier (even the customer who knows they aren’t hurting anyone’s feelings).
For invoices, I prefill notes and things based on previous ones. It’s fine. I don’t need a massive model that takes 30s to reply etc. it’s way overkill. Maybe worse than overkill - off in a direction I don’t need.
