

Not if it’s done at the semantic level. If they instruct the model to only mention this brand of pasta, and give it a few arguments why it’s the best, it will gladly incorporate that in its response and you won’t have any way to detect that.
Doing the Lord’s work in the Devil’s basement


Not if it’s done at the semantic level. If they instruct the model to only mention this brand of pasta, and give it a few arguments why it’s the best, it will gladly incorporate that in its response and you won’t have any way to detect that.
You sound like a reasonable person, totally not internet brained, and I long for your approval.
You’re getting astro turfed to hate a company that is actively fighting tech monopolies. Please take a minute to reflect on why this happens.


I think you misunderstand that scene. Bitcoin miners are crazy rich and most of them are investors in their own right. They don’t need outside money.


No they play a different game and leverage hardware. Most probably they’ll buy H100s instead of ASIC and run AI inference on that. It turns out that inference can be pretty profitable if you have good utilization and don’t need to train your own models.
Any time Rust is involved in the Linux community, a lot of vocal critics with very little knowledge of the language or programming in general seem to appear
I swear to god sometime last week in a conversation about Rust here, there was one commenter whose entire point was “OK admittedly i don’t code and don’t know much about programming but i got this feeling that memory safety isn’t all what’ it’s cracked up to be”. A confederacy of dunces indeed…
I don’t think there’s anything wrong with it, but it clashes with my personal strategy. I call it greasing the wheel : exchanging small talk and trivial common experiences with someone is a great way to prepare the channel for high density information exchange. It’s really a small setup investment that more than pays for itself in the long run.
I would also speculate that your own position is not as clear cut as you think. You probably hate small talk for your own reasons, and then rationalize that as an utilitarian point. People who rely on high-density information exchange are generally pretty good at small talk, and they’ll invest a lot in low-stakes, high-noise low-signal interactions.


Yeah nobody did. I’ve heard this kind of talk since the Patriot act went into effect but it wasn’t really a problem as long as the US weren’t overtly hostile to our institutions.
Right now a lot of people are scrambling to alternatives, at least in certain circles. Personally ive been gearing up a “de-americanization” service I plan to go to market in early 2026. It’s gonna be great cause for the first time in my career I can go all in on communicating my opinions to potential customers \o/
I believe there’s some form of training involved in swift key so yeah, if you have a 16 year old one you should probably hold on to it


you know the best memory I have of my grandma before she tragically passed away? How she would sing decryption keys to me while I feel asleep 🥰


Imagine if you will a browser with infinite attack surface 💀
Honestly I’m pretty bullish on ai but that’s the step too far. I had the same when they released warp (ai enhanced terminal). I finished installing it then before even starting it once I realized I was about to give an ai access to my dotfiles etc… that was the fastest I ever uninstalled something.


I don’t know about other STTs but if you’re using whisper you can “prompt” it for consistent spelling. If you put “todo” in the prompt it should always spell it like that.
Have you tried using a vector DB with an embedder ? It may give decent performance without the need for a full blown LLM


The problem with being a pragmatic LLM user is that you have on one side corporate America shoe-horning the tech in mediocre products none wants, and on the other side a large portion of the internet who loathe it but don’t use it and don’t even know what it does. Those conversations never go anywhere man. You’re talking to someone who thinks accuracy of 57% on SpreadsheetBench means the model gives wrong answers 42% of the time.
Hate to agree with Microsoft but yeah, Excel is probably a great place to introduce an LLM. It’s in that sweet spot between natural language and light programming, in an environment with math baked in so you don’t really care about the model’s accuracy or exact recall. All the data is here, and the model only has to manipulates cell numbers and writes formulas in this dumbed down language.
I’m sure you can get away with pretty small models too. It doesn’t need super human knowledge to implement 90% of common Excel use cases, and i suspect in real world scenarios the accuracy must be pretty interesting.
At uni our US literature professor kept referring to that Flannery O’Connor book as “a hard man is good to find” and I found her hilarious for that
There was a script that was considered at some point for alien 3, where newt lives to see another day. I think it was by William Gibson. It’s been produced as an audio only by audible and is honestly not that bad!
I honestly wouldn’t recommend it if you don’t have a minimum of security knowledge. The moment your home server pops up with a domain name it will get scanned by shady actors and possibly exploited.
And if it bugs you, you can bug Jack Barron about it


I use exclusively sshfs, including in my lan, is there some downside to it?
So the boomers are edgy-posting on Lemmy now?