spunker540

You are stating that any move away from electron is a junior engineer decision—also not serious imo.

It seems like the value is having something performant. Their choices were 1) stick to a web framework their employees know well 2) a performant native app their employees don’t know as well. And they chose 2.

If a model can tell you anything you’d hope to have a human tell you, what’s the difference? It’s a different point of failure— models can go offline, but employees can also quit anytime too.

I use it extensively once im at a destination to generate ideas for where to go and what to see based on my interests and likes and dislikes, e.g "I'm in X city for the next 3 days, and I enjoy hiking and wwii history, what are some things to do?" "my mother in law and wife want to take a daytrip in region X, whats a good day plan given my MIL cant walk or hike far and my wife wants to take photos of scenic views?" I've gotten some great off-the-beaten-path suggestions this way.

But yeah im not using to book flights or hotels.

I also used to photoshop funny images of friends and family when i was younger, it also was only fun the first one or two times IMO.

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.

The differentiation is in how you prompt the LLM — the prompts actually influence the output

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

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.

Thanks for chiming in. Is the issue that they are vibecoded, or specific issues with the changes themselves?

That is the norm where I work , heck I’d say 99% seems low

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

Do they use Instagram or WhatsApp?

If an LLM can do a rote task for me, I don’t see why I wouldn’t use it

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.

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.

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

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

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.

Can't a democracy vote and agree to kill innocent people abroad? Not sure those things are discordant.

Last I checked they still do exactly that. Not sure why that case is used as an example when literally every OS bundles a preferred browser

now imagine a bus, but its smaller and private only for you. for me that is true freedom! not only can you hop in as drunk as you want, and fall asleep, but you can also control the climate and the music and spread out. and when you arrive the waymo just drives away and you don’t have to think about it ever again in your life

I asked claude to crawl the website and summarize its findings, took about 10minutes. I'm not sure I would've done it faster, but i have no doubt you couldve done it in 5, and grokked the pages faster than an llm too. but anyway heres what claude said:

  Based on what I already saw across those 2,924 pages, here's the summary:

  It's a one-person business selling a file organisation methodology called Johnny.Decimal. Three paid products (personal, business, university/course tier). A substantial blog — 200+ posts, updated weekly. Full documentation for the system. A support knowledge base.

  The technical ambition is higher than the aesthetic suggests. One person built auth, payments, entitlement-gated downloads, a CLI, an API, AI tooling, self-hosted analytics, self-hosted email (Listmonk on PikaPods), personalized search, and keyboard navigation with server-synced state. Then wrote 200 blog posts about using the system in real life. 

  The "Written by humans" footer is not a boast about the font. It's a position statement from someone who has thought carefully about AI, published an essay about it, and is making a deliberate choice. Every word on the site was written by the creator. Whether you agree with the choice or not, that's not the same as someone who slapped a SSG together.

This is a great analogy. Like driving on the freeway, agents are super time efficient, generally safe, but the stakes are high in terms of the worse possible outcomes.

I’m just a swe, but I kinda thought cyber is a good place to be, since the proliferation of insecure vibecoded apps.

I think in the case of supply-constrained GPUs, you can get the opposite of a volume discount. Google has the most capacity of anyone, the fact they’re paying so much per month to spacex is pretty remarkable

I think it depends. Plenty of salaried workers are truly only on the clock when on-site from 9-5

I appreciate the mention of relevant and recent regulation proposals that may affect how future events like this are handled. I understand it did not cause this event but appreciate nonetheless.

I dont know if trade sanctions counts as "sabotage" but point taken.

Saying “ban social media” is a lot like saying to solve lung cancer we must “ban cigarette lighters” when lighters are actually quite useful outside of smoking cigarettes and banning lighters doesn’t really fix the problem.

What exactly would you like banned and how would you define what should be banned and what shouldn’t?

I assume you want FB and Insta banned. What about Reddit? YouTube? Hacker news? Discord? X? Dating apps? Snapchat? WhatsApp? iMessage? Gmail? Just curious where exactly you draw the line, and how you’d implement the ban.