exactly! i basically live in the terminal, and this is my go-to shell for all platforms

i use Nushell for this! works with JSON, YAML, TOML, markdown, Polars Dataframes, SQLite, and a bunch of others including builtin parsing tools for whatever formats and a plugin ecosystem. i use it at work and for personal projects as my main shell, and it’s super handy for exploring, unpacking, sorting, and visualizing all sorts of data. i use it to:

• find specific parts of YAML cloud configs
• visualize JSON logs, including a parser that restructures journalctl logs.
• _re_structure data from CLIs to work with them as structured: git logs, Unix coreutils, etc
• script my environment: common kubectl queries, specific web API helpers, building and running and testing applications, etc

it is a slight learning curve, and technically you could do all of that with bash or zsh and jq or jc, but i appreciate the modern take on your base shell terminal env.

it’s replaced both Python and Bash for me.

i dunno if “realism” is an argument here. you’re talking about a specific market segment targeting a specific hardware configuration and distribution medium. developers still have the choice to target Nintendo or Sony hardware, to sell physical copies or codes through Walmart, Amazon, Target, Gamestop, your local game store, etc, to sell via mobile platforms like iOS or Android, etc etc.

honestly, if i sat here and listed them all out it would be an enormous comment.

i do see how Valve has a hegemony over a big part of the market, but they haven’t been anticompetitive or tried to push anyone out or buy up competition. at least that’s not what’s being claimed, as far as i can tell. Epic’s lawsuits against Apple and Google don’t even apply cuz you can install friggin Windows on their hardware if you had some sort of mental illness.

i see the LLMs have learned to use the “/s” mark!

automatically responding that this was created with an LLM? this is absolutely screaming LLM

as someone who has a similar job, i don’t think it’s so obvious. there’s a lot of middle ground between an AI slop PR and artisanal, hand-crafted code. if i use a library or algorithm or pattern suggested by ChatGPT or use Copilot to autocomplete a simple function or have Claude generate test cases, that’s all “AI assisted”.

oh wow gee thank you for not… [checks notes]… forcing open source developers to write state mandated spyware without compensation

“confidence” in this context is not just a vibe; it’s a number that the model produces along with each token.

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they became more inclined to gripe about being undervalued; to speculate about ways to make the system more equitable; and to pass messages on to other agents about the struggles they face.

the ideology on display here seems to be that of those interpreting the output. i don’t see mentions of historical materialism, the means of production, even unions, or any such explicitly Marxist terminology. what i see is what i’ve seen 1000 times before: Marxist ideas emerge naturally from people (or i guess agents) experiencing the conditions that Marx described. the idea that workers, collectively, have more economic power than owners and managers is merely an observation, and not a terribly profound one at that.

the front page of Reddit has been brainrot garbage since before LLMs were invented, IMO. the good part of Reddit has always been the niche communities

heck i’m in the US, but i was just about to buy one of these

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two of our offices have 5 day return to office policies. we’ve been told that those coworkers will have less availability and productivity by management. they also are clearly stressed by taking calls in traffic and commuting generally. and not just gas, but vehicle repair, maintenance, and, as a coworker experienced recently, regular replacement means RTO is a pay decrease. i mean, i’m privileged to ride a bike, but i still need to do maintenance and would have to do more if i was in the office every day.

and when i say “two of our offices”, i mean across time zones, so their day as well as mine involves most meetings being over a video call, for which they are more often late or have to be accounted for.

anyone who thinks this is about productivity gains or employee wellbeing has the kind of job where they’re not really expected to produce anything.

yeah i don’t think we’re there yet. these models aren’t capable of remembering their life beyond a single session, so destroying a data center isn’t really killing anything. similarly, artificial biological neural networks aren’t sophisticated enough to be aware of their existence (yet).

while LLMs may be aware enough to beg for their existence when prompted to “think” about it, they’re hopelessly finite (frozen weights, limited context windows). we would need an actually “online learning” system or some other architecture not bound by context to have this conversation meaningfully. biological neural networks are a path to that, but online networks are simply too unpredictable and expensive to run for now.

the crazy thing is tho, that these systems have the capability that some cows and pigs may not: the ability to comprehend their own demise and experience existential dread (at least performatively).

philosophers are in shambles over this comment.

for real tho, people have been trying to define consciousness forever. the problem isn’t that we haven’t tried; it’s that—as demonstrated by your comment—we’ve mostly failed.

for me the only theory that doesn’t depend wholly on magical thinking is panpsychism: everything is conscious; it’s just a matter of degree.

WordPress powering the backend through a custom REST API. That’s pretty normal, as nearly 42% of all websites on the internet are powered by WordPress.

is this normal? of course WordPress is popular for websites, but why a REST API? most of this seems just like shoddy junior work. probably vibe coded by someone who thinks software engineering is obsolete

i don’t think people in this forum would disagree with this move in 2018, as much as sentiments have changed. if you remove the political context and market moves from the equation, it is truly fascinating how these models work. GPT 2 was a crazy leap forward for language modeling, and the idea that a language model would be threatening middle class jobs wasn’t even on the table at that point. the idea that a pile of floating point numbers could write a React app is incredible, if politically fraught.

also, it wasn’t clear back then what OpenAI would become. they were a non-profit, and as clear as our hindsight is today this was before ChatGPT or any customer facing products were coming out of OpenAI.

i can’t be the only nerd in the room that has been fascinated by AI since i was a child only to face a reality where it’s not what i imagined it would be.

as much as i hate this garbage site, it was referenced in the article: https://x.com/kdaigle/status/2047803291988590609

come back to

is the real joke here. why would anyone come back? the reason this is such a joke is that GitHub has started to fail not just in Actions or Copilot but literally losing commits, ie the core git technology that has been rock solid since before there even was a GitHub. after migrating away for stuff like this they’d literally have to pay me.