Comments URL: https://news.ycombinator.com/item?id=47684648

Points: 1

# Comments: 1

It's a fair question how much AI is accelerating the development of Zed, but I can say that I've been impressed with the speed they are shipping at.

Comments URL: https://news.ycombinator.com/item?id=46363592

Points: 5

# Comments: 4

My tool can read stdin, send it to an LLM, and do a couple nice things with the reply. Not exactly RAG, but most man pages fit into the context window so it's okay.

Actually for many cases the LLM already knows enough. For more obscure cases, piping in a --help output is also sometimes enough.

An inbound firewall can only help protect services that aren't meant to be reachable on the public internet. This service was exposed to the internet intentionally so a firewall wouldn't have helped avoid the breach.

The lesson to me is that keeping up with security updates helps prevent publicly exposed services from getting hacked.

Containers work similarly, except that they don't take the whole system down when their PID 1 exits. That's why containers often don't have a process manager inside, but Linux based operating systems do.

The pdf describes how they did "continued pre-training" and then post training to make 3.2. I guess what's missing is the full pre-training that absorbs most date sensitive knowledge. That's probably also the reason that the versions are 3.x still.

There are a number of free and cheap LLM options to experiment with. Google offers a decent free plan for Gemini (get some extra Google accounts). Groq has a free tier including some good open weight models. There's also free endpoints on OpenRouter that are limited but might be useful for long running background agents. DeepSeek v3.2, Qwen3, Kimi K2, and GLM 4.6 are all good choices for cheap and capable models.

Local models are generally not a shortcut to cheap and effective AI. It's a fun thing to explore though.

By using the three available colors on my older model, I was able to render numbers up to 199 in a readable way. Two digits on the right are 8x3 and one on the left is 8x2. I quickly abandoned two pixels of width as impossible for making legible text for all digits, so seeing a full font at two pixels wide is a fun surprise.

Thanks for the tip on Mystrix—looks neat.

So the total difference includes the cost of context switching, which is big.

Potentially speed matters less in a scenario that is focused on more autonomous agents running in the background. However I think most usage is still highly interactive these days.