spunker540

Joined 10 years ago

Karma
1,220
Submissions
372
Member since
Jul 26
View on Hacker News

Recent submissions

Comment · 5 days ago
I dont have kids (but may in the future) and one thing I'd like to do before then is get a NAS /plex server and build a kid friendly UI on top of it to keep them off of youtube/netflix/fire tv and greatly limit the content available to them to high quality vetted stuff. Acquiring the content for the server may be its own project in and of itself I admit. I also want to do this for myself too, but I especially want it should I have kids. I'm excited by some of the recent examples of hacking smart TVs too, which seems complimentary.
Comment · 6 days ago
The differentiation is in how you prompt the LLM — the prompts actually influence the output
Comment · 14 days ago
It’s more likely that the person doesn’t like Musk, and unless he’s solving world hunger they aren’t going to be happy. There’s a lot of legitimate reasons to not like Elon Musk, but “not helping the bees enough” isn’t a great take
Comment · 14 days ago
That’s 150 out of 472 for those curious— thanks for sharing details about access-a-ride, honestly seems like the right solution, at least until 2055 when supposedly 95% will be accessible.
Comment · 1 month ago
Thanks for chiming in. Is the issue that they are vibecoded, or specific issues with the changes themselves?
Comment · 1 month ago
That is the norm where I work , heck I’d say 99% seems low
Comment · 1 month ago
Do you use coding agents? Just curious bc from my experience using coding agents, open ai’s codex is neck and neck with anthropic’s claude code if not ahead. I wouldn’t agree that OpenAI hasn’t done anything since ChatGPT since codex is my daily driver for software engineering
Comment · 1 month ago
Do they use Instagram or WhatsApp?
Comment · 2 months ago
If an LLM can do a rote task for me, I don’t see why I wouldn’t use it
Comment · 2 months ago
That sounds more like semantic search and vector db.

RAG is simply fetching external data (retrieval) and adding it to LLM context (augmenting) prior to generating a final response.

Any time LLMs do a grep or a web search to answer the query, it’s RAG. Many people use vector db for their own RAG implementation bc of the semantic search benefits.

Comment · 2 months ago
I agree- I also dont think OS features of the kind that get shipped in these updates are convincing anyone to switch from pc to mac or upgrade their mac sooner. Tons of stuff just changing for the sake of change. Meanwhile LLMs increasingly only need the command line to do everything.
Comment · 3 months ago
I think the truth is most printed copies of books are rarely read even once, so the idea of preserving them is noble but realistically not that important. And may be outweighed by benefits accrued to the person currently owning and reading it making the most of it and marking to their hearts content.

I admit I don’t mark up my books but I feel tempted to try

Comment · 3 months ago
Could you explain what you mean by this? I thought all of their insane profitability and returns are from crazy margins on their GPUs. I know they started/partnered/invested in some data center businesses, but I thought they were fledgling
Comment · 3 months ago
The gpu inference happens on anthropics side, but the output of the gpu inference is often many local tool calls. The agent is locally reading files, writing files, compiling programs, downloading artifacts, running tests, invoking CLIs, monitoring logs, inspecting web sites, grepping etc, and can be doing all of that at once, in parallel via subagents, much faster than a single human ever could.
Comment · 3 months ago
Can't a democracy vote and agree to kill innocent people abroad? Not sure those things are discordant.

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton