Due to cost cutting, norovirus decided to only do the bare minimum.
Quiet quitter!
riskable
joined 2 years ago
This article is a bit sensational: You have to look at PEDOT:PSS in the context of what it's replacing: Plastics that take hundreds to thousand of years to degrade. That also release much more harmful microplastics that also last hundreds of years.
Compared to that, "more than 8 years" seems pretty fucking good. Especially when you consider that PEDOT:PSS isn't produced at anywhere near the scale that regular circuit boards are (which are made from FR4). In short, PEDOT:PSS is not a serious problem.
Think about it: If stuff made from PEDOT:PSS sticks around for just 8 years, that's better than say, plastic shopping bags which persist for hundreds of years and we manufacture and throw away 5 trillion of those every year.
If everything plastic had the same environment impact as PEDOT:PSS we'd be in a much better situation (environmentally).
FYI: Speech recognition is an AI feature and it gets (marginally) better with the newer chips. For example, in noisy environments.
That's probably the most-used AI thing that nearly everyone uses on occasion. Older phones had to send your speech to the cloud but with the new chips all that processing can be handled locally.
You have to keep it for two more years! Because even Samsung can't get Samsung to sell Samsung DRAM for new phones!
There's innovation! What are you even talking about‽
I just upgraded my phone two months ago and now two of the four cameras (which is the same number as my old phone that I bought four years ago) have something like 20% more pixels!
Also—now that I have the latest chip—I can talk to my phone in like three more languages. I don't speak any of them, but... Innovation!
My new phone is also significantly heavier than the old one and the battery life is like 10% better than my old phone when it was new! Also, my display has a few extra lines of resolution on the top and bottom!
No innovation? Hah!
Time to move smartphones into the "durable goods" category.
I doubt that. New services that host the open models are cropping up all the time. They're like VPS hosting providers (in fact, existing VPS hosts will soon break out into that space too).
It's not like Big AI has some huge advantage over the open source models. In fact, for images they're a little bit behind!
The FOSS coding models are getting pretty fantastic and they get better all the time. It seems like once a month a new, free model comes out that eclipses the previous generation once a month.
The mistakes it makes depends on the model and the language. GPT5 models can make horrific mistakes though where it randomly removes huge swaths of code for no reason. Every time it happens I'm like, "what the actual fuck?" Undoing the last change and trying usually fixes it though 🤷
They all make horrific security mistakes quite often. Though, that's probably because they're trained on human code that is *also" chock full of security mistakes (former security consultant, so I'm super biased on that front haha).
Schrodinger's AI: It is both useless shit that can only generate "slop" while at the same time being so effective, it is the reason behind 50,000 layoffs/going to take everyone's jobs.
You want to see someone using say, VS Code to write something using say, Claude Code?
There's probably a thousand videos of that.
More interesting: I watched someone who was super cheap trying to use multiple AIs to code a project because he kept running out of free credits. Every now and again he'd switch accounts and use up those free credits.
That was an amazing dance, let me tell ya! Glorious!
I asked him which one he'd pay for if he had unlimited money and he said Claude Code. He has the $20/month plan but only uses it in special situations because he'll run out of credits too fast. $20 really doesn't get you much with Anthropic 🤷
That inspired me to try out all the code assist AIs and their respective plugins/CLI tools. He's right: Claude Code was the best by a HUGE margin.
Gemini 3.0 is supposed to be nearly as good but I haven't tried it yet so I dunno.
Now that I've said all that: I am severely disappointed in this article because it doesn't say which AI models were used. In fact, the study authors don't even know what AI models were used. So it's 430 pull requests of random origin, made at some point in 2025.
For all we know, half of those could've been made with the Copilot gpt5-mini that everyone gets for free when they install the Copilot extension in VS Code.
AI is not a bubble. OpenAI is.
They can't even AI right!
That should've been a pelican on that bicycle.