Today is Jun 15. So, I wonder if somebody + AI can rewrite curl in Rust in 1.5 months. I think it's possible if that person knows all curl features. However, does that person even exist?
What are they used for?
Its CPU's PassMark scores an average of 4,246.
A quick check on AMZN: https://www.amazon.com/KAMRUI-Mini-PC-i3-10110U-Bluetooth/dp... uses AMD Ryzen 4300U (scores 7364), 16GB RAM, 256GB SSD, supports 3 4k (maybe 30HZ) monitors at the same time. That mini pc cost $289.
That $350 price tag is good for that configuration. Not sure how fast the USB-c ports are. It should have an HDMI 2.0/2.1 port. Mini PC's with the N150 CPU support 2 4k@60Hz monitors.
> I asked the business owner a question about a business task. He sent me a ChatGPT screenshot with the answer. I replied that it had nothing to do with my question and everything there was wrong. A minute later he sent me another ChatGPT screenshot.
If this happens to me, it's a sign that they don't want to talk to me and I'm going to be let go.
> Nobody cracks open a programming book anymore
Not true for me. I still read the "Learning Rust in a month of lunches" although I ask AI to write Rust code all the times.
> It's not surprising that an LLM would produce different specs for the same work on different runs
This is what I don't understand: AI is a computer program with its own data. If we give the same input to that computer program every time, why does it produce different outputs every time? Or does the input include LLM data + our prompt + some random data that computer program picks from its Internet search?
The thing that impresses me most is that the author knows everything (from the high level architecture to the small details) of "multi-Paxos consensus engine" (I have no idea what it is, but it must be very complicated) and can write everything out for AI to read (or did he/she use an app to convert speech to text)?
So, the complaint is that Linux (Fedora + KDE Plasma) is unstable after a week of usage and daily update? I'm not sure about Fedora as I'm using Arch (also with KDE Plasma on wayland). Everything is very stable for me. I `paru -Syu` whenever I remember or when VS Code shows at the lower corner that there's a new version.
Before reading that post, I would use sqlite/duckdb for everything related to data. After reading that post, I will use sqlite/duckdb + Rust for everything related to data :-)
> the free tier will initially provide 50GB of monthly data
Is it per machine or profile or ip address or something else?
I switch from Firefox to Brave a few months ago because the markdown in aistudio.google.com is not displayed correctly in Firefox. I wonder if anybody has the same issue or that issue can be fixed.
Not sure if there's anybody like me. I use AI for only 2 purposes: to replace Google Search to learn something and to generate images.
I wonder where there are not many models that do only 1 thing and do it well. For example, there's this one https://huggingface.co/Fortytwo-Network/Strand-Rust-Coder-14... for Rust coding. I haven't used it yet, so don't know how it's compared to the free models that Kilo Code provides.
I agree. IMO, Scala can be written in Li Haoyi's way and it's a pleasure to work with. However, the FP and Effect Scala people are too loud and too smart that if I write Scala in Li Haoyi's way, I feel like I'm too stupid.
I like Rust because of no GC, no VM and memory safe. If Rust has features that a Joe java programmer like me can't understand, I guess it'll be like Scala.