Doing the Lord’s work in the Devil’s basement
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.
Never give the money before you have the stuff in your hand, and can confirm that it is, indeed, the good stuff.
100% I use them a lot to ingest and understand shitty code for me. Of course it’s not perfect, it’s like having a colleague who’s not super strong but has infinite patience for bullshit
The real nasty stuff is not code it’s in proprietary blobs which can only be edited through proprietary software. The documentation is shit (because the editor also sells training) and there are no communities (because implementation specialists think having secrets is having an edge).
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.
Agreed. There’s nothing toxic about a light crush as long as you keep it light and don’t make it the other’s problem. Of course context is everything but it’s a normal thing to happen between adults, right?
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 🥰
I think they just call it Android
Yeah but your password on my product with MFA is probably used everywhere else without MFA. Most products have a low risk security profile so they don’t want to be the leak for higher risk stuff.
It was the boots that sold it for me
Was she drawn by Akira Toryiama ?
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
I have this but explaining business situations with analogies to history
Supabase unironically do exactly that. You’ve got your client, you login through OAuth, then use your JWT to connect directly to postgres.
Your JWT contains your user id, which is used with row level security rules to determine which rows you can and cannot access. It’s pretty amazing what you can do with PG alone. The tooling is not quite there yet but that’s probably where we’re headed.
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.
I think you may have personal feelings against christianity mixed up with the historical stuff and it doesn’t make for interesting discourse.
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.