I’ve never really followed X (nor Twitter), Bluesky, Instagram, TikTok, etc. so I basically live under a rock. Sometimes I ask dumb questions to try to understand people a little better. Apologies if my questions inadvertently offend anyone. I mean no harm.
There are many busy data centers in the southern US states (and other places within a similar proximity to the equator) where community heating would be massively unwelcome for most of the year.
It’s not a bad idea for cold climate areas that might benefit more from it though. Much better than letting it go to waste while paying extra for heat.
It’s funny to read about LLMs running businesses. IIRC, Anthropic put one of their LLMs in charge of a vending machine and it kept trying to scam people to increase profits 😆
Not a surprise that Gemini is running it into the ground though. Every time I try Gemini, it reminds me about how much dumber LLMs used to be
I hope this isn’t a manifesto 😬
Vibe coding is a type of AI slop
Chinese AI labs kinda seem like a plot twist in LLM evolution. Their models are quite capable now. They’re not at the levels of American labs’ flagship models yet, but the gap has been narrowing quite a lot.
When OpenAI and Anthropic models are only marginally better, but much pricier, then I would think they’ll gradually shed users (followed by investors).
Ironically, I could imagine a possibility of Nvidia “saving” American AI. If they can take the lead with Nemotron (in like a “post-OpenAI/Anthropic” future when open-source models dominate), then maybe they can survive on chip sales… Though they’d probably have to compete with Chinese chips at that point.
I know I’m being pedantic, but machine learning has been around for many decades
Thanks. It’s an odd accusation after simply asking “How?” (I was genuinely curious) but I appreciate you clarifying their response. Upvoted to counter the downvote 🙂
It’s possible that I’m just a dumbass, but…
Seems like they were operating with a pile of bad practices, then threw AI into the mix.
Neural networks are approximation algorithms. There’s a reason LLMs are generally more productive with statically typed languages, TDD, etc. They need those feedback loops and guard rails, or they’ll just carry on as if assuming they never make mistakes (which tends to have a compounding effect).
If you want to use AI safely, you should be more defensive about it. It will fuck up; plan accordingly.
These protocols predate LLMs
Gemma4:26b is also worth trying. I find it runs much faster on my hardware
Do you not use it enough because yet get bad results? I discovered that, no matter how smart the LLM might be, its first attempt is never its best work. Tell it to review its work (or its plan, if using planning mode). If it makes any changes, tell it to review its work again. Repeat until there are no more changes.
(You don’t actually have to do this repetition manually; just tell the AI to do it in a loop. I recommend making it into a SKILL.md so you don’t have to explain the loop every time.)
With these loops, I get better results AND burn lots of tokens. (Yes, it feels strange that excessive token consumption is actually considered a good thing)
That’s Notepad in the screenshot? I haven’t used Windows in years, but I remember Notepad being the one that didn’t do rich text. Did they just fold Wordpad into Notepad and add Copilot?
iPhones save old notifications in a database? Why?
Would you mind elaborating a little more? I live under a rock but this seems interesting
I would guess they’d explain it the same way they explain other rocket launches.
Some people seem to think about political issues every day. It seems unhealthy and unhappy.
…This made me realize how lazy I’ve become around movies. I don’t like the effort involved in going to a place to physically borrow an object, then having to remember to repeat that later to return it.
Renting movies was a very normal part of my life in the past. I’m not proud of this laziness. I’m fine with going to movie theaters, so it doesn’t make much sense.