It's the same problem with OpenRouter's free tiers for a long time. If something is truly $0 and widely available, people will absolutely bleed it dry.
1,284 karma · joined April 24, 2012
https://news.ycombinator.com/item?id=46192577
It's the same problem with OpenRouter's free tiers for a long time. If something is truly $0 and widely available, people will absolutely bleed it dry.
Quick, someone throw the Linux kernel source at it and report back! xD
Who normalized this?!!
With vendor lock-in to Google's AI ecosystem, likely scraping/training on all of your code (regardless of whatever their ToS/EULA says), and being blocked from using the main VS Code extensions library.
It started as a modernized Eclipse competitor (the Java IDE) but they've built a bunch of other IDEs based on it. Idk if it still runs on Java or not, but it had potential last I used it about a decade ago. But running GUI apps on the JVM isn't the best for 1000 reasons, so I hope they've moved off it.
Learn 2 load balance
That's not a startup if you can't go straight to the founder and get a definite yes/no answer in a few minutes.
I'd argue that Docker has done that in a LOT of ways. The huge draw to AWS, from what I recall with my own experiences, was that it was cheaper than on-prem VMware licenses and hardware. So instead of virtualizing on proprietary hypervisors, firms outsourced their various technical and legal responsibilities to AWS. Now that Docker is more mature, largely open source, way less resource intensive, and can run on almost any compute hardware made in the last 15 years (or longer), the cost/benefit analysis starts to favor moving off AWS.
Also AWS used to give out free credits like free candy. I bet most of this is vendor lock in and a lot of institutional brain drain.
For servers, there’s things like Proxmox that are super versatile and can be deployed to a 1U server in a few hours. And if whatever you’re virtualizing exists mostly in the application/user layer and doesn’t touch lower level APIs (eg raw TCP), Docker/Portainer is even better (no Kubernates required!).
From what I understand, CA wants some kind of age field at the operating system/browser level that can be set once by a parent and trusted to work on every website out there - instead of the current system of needing to manually set an age on every individual website.
Wasn’t there some kind of research that said something along the lines of human productivity dropping like a stone after 30-35 hours per week of work?
It has "too many experts", meaning that everyone has too much decision making power to force their own tiny variations into existing tools. So you end up needing 5+ different Python versions spread all over the file system just to run basic programs.
The current regulations are written for a time where cars didn't have rolling computers in them. And even then, the regulations don't account for Tesla-style linked systems. So I say we do need new regulations.
Bricking a car with an over-the-air software update is stupid and unacceptable behavior. Stuff like this is why I'm actually kind of happy to be driving a 20 year old car still.
I was really excited, too, until I looked through the readme files and the code.
The token cache works on CUDA too. So yeah, the initial loadout sucks, but almost everything from then on is solid.
Could Trump unintentionally bring about the year of the Linux desktop?
The only moat they have is the fact that you still need a GPU of some kind to reliably run even a tiny LLM. But the gap between what absolutely needs a server farm and what can be ran on a store bought gaming computer is quickly closing. You can already run mixture of experts models on gaming rigs with a high degree of usability compared to just one year ago. And that tech continues to be pushed further and further. It's only a matter of time until we see ChatGPT levels of access running on a quad core laptop totally offline. And once that happens, all such a system would need is the correct tooling on top of the AI model "brain" to make it usable.
And beyond that, what if you could have an AI model on an ASIC-style add-in card? Where's their moat then?