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
Doing the Lord’s work in the Devil’s basement
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?
Funny, I would propose the exact opposite. OpenAI is doomed, they are committed to spending more money than they can ever hope to earn, and already have a hard time raising anything covering their operating expenses, let alone the training of new innovative models. Their life will only keep getting harder and they’ll never have it as good as they did in 2023.
On the other hand, alternative models get better every day and have tokens that cost a fraction of those from large model makers. Some of what you call ChatGPT “wrappers” actually have solid and healthy business models and are burning reasonable amounts of cash (reasonable for VC backed businesses anyway). They’ll just switch to cheaper models when price pressure tells them to and they’ll be fine.
That is Apex internet thank you my good sir
Caveat : some individual users may block you for not sharing or never being online, however the network itself won’t ban you.
He’s pretty explicit in that regard. He even added an interesting point at the start of the article : most people he knows who actually work with AI and know shit about it are not boosters. It’s an important distinction that Ed doesn’t ignore.
He is against the over hype of “AGI” and skeptical of the hundreds of billions that have been poured into it for sinister reasons. He’s not denying that the tech has uses, but rather confronting the value of those uses with their actual, non subsidized cost.
It’s a valid translation overall, it just missed this colloquialism
Just a nitpick, “jeu de mort” would never be translated as “death game”. In this context “de mort” would be an intensifier like “fucking” or “damned”.
I was gonna say it reads it reads like one of those obnoxious LinkedIn posts
If you have a few dollars to spare you might try on real debrid. If someone has once downloaded it on their service, it may still be in their cache. I’ve resurrected quite a few vintage torrents with this technique.
Weird comment as this iteration has spawned the fastest growing products of all time. There’s no comparison possible with bubbles such as NFTs or the Metaverse.
Financially it’s a bubble because those products are grossly unprofitable even by VC standards, but the consumer appeal definitely is there.
There’s absolutely a push for specialized hardware, look up that company called Groq !
I use it to role play historical counter factuals, like how I could win the battle of Cannae through tactics, or how I could invent the telegraph in 13th century France. It’s worth every watt <3
Don’t have to imagine it when you can just remember it. Getting online in the late 90s was a horror show, seriously dialup was super unreliable. And that was 20 years after it’s inception, it was shit but also extremely popular.
Not sure what you mean by Memphis?
What’s weird is that the joke already exists, in the original meme format. Why not use that? AI slop has a distinctively corporate and unfunny feel to it which lots of people dislike.
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.