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I'd note that as stuff like A11y gets added into something like Discord, we'll see the app slowly bloat up to compensate.

Google Chrome generally used around 25mb per tab in 2010. Today, that number is often 500mb or even 1gb.


And Windows apps had accessibility before computers had 25MB RAM in total. Accessibility is not the cause of bloat.

do any of these native GUI libraries provide just as rich accessibility experiences to disabled people?

Would you really need 500mb for accessibility? Can't text to speech be outsourced to the OS or companion app?

Now that IE is dead and most of the cross-platform implementation differences have been fixed, you are generally better off with vanilla JS instead of jQuery.

If AI sucks at simple Angular applications, why would you expect it to fare better with complex applications?

What is the biggest app that you have built?

What does that have to do with what I said?

I've built large FE systems with millions of lines of code pushing tens of billions of dolllars in revenue (I was lead FE dev on that one).

The idea that failing to do a small project (that should be clearly represented in the training data) means failing even harder at bigger projects doesn't suddenly gain merit because I have a lot of experience and have worked on big projects.


On the Internet I see all the time people who are building equivalents of bike sheds criticizing people who are building skyscrapers.

Your first sentence is telling me you were in more of a bike shedding projects than skyscraper one.


Divide the amount of revenue from the big AI companies by the total number of developers worldwide and you'll see that most are still mostly hand-coding despite what the megaphones on the internet say.

The overwhelming majority AI spend is being done by startups funded by venture capital.

Meanwhile, big companies have massively cut/capped AI spending at the exact time these companies need to triple prices to get any margins at all.

Perhaps dead internet theory applies more than normal to programming forums.


Seriously, we’re in a bubble here and everything thinks everything is touched by ai now. That’s not true at all, people need to look outside of HN and Twitter. Lots of devs are refusing to use them. Quite a number of companies are happily chugging away by hand.

They will slowly get eaten by more dynamic competition.

Since when do more dynamic companies win?

Microsoft is doing fine.


I don't think we're talking about Microsoft here.

It's a mixed bag. The company I work for (nearly $6 billion anual revenue, southern EU) only started giving out the lowest tier of Github Copilot licenses this summer, and only widely at the business units they're desperate to see grow (I got lucky there due to wearing multiple hats). Everyone else keeps coding manually, although the nerdiest of us catch up with Codex/Claude/whatever on our own time, same as it ever was.

Meanwhile, a friend at a consulting company of similar scale tells me they don't hire anyone who shows a lack of experience with "agentic engineering" during the interview. They're turning all their projects into software factories from issue ticket to deployment. He's much more resourceful and experienced than me so I trust he isn't automating himself out of his own job, but I'm much more gloomy about this transition.


> Everyone else keeps coding manually, although the nerdiest of us catch up with Codex/Claude/whatever on our own time, same as it ever was.

Technologists uncritically doing the bidding of Silicon Valley billionaires. Same as it ever was. https://news.ycombinator.com/item?id=50274456


I agree in principle, but I don't feel in a position to bargain: I'm a junior dev earning below my region's average salary (for all industries, not just tech), far below other engineers my age because reasons, and my education is now becoming obsolete for industry. I'll let others take the high ground, I just want to stay employable and not lock myself out of a decent salary.

basically every single point here is wrong and most are easily refuted by looking at anthropic's s1

Anthropic's S1?

$16B revenue in first half means $32B for the whole year at that ARR. Divided into 47.2M devs gives us $677/yr per dev assuming that ZERO non-devs ever pay for Anthropic. Add in all the OpenAI and Chinese spend and spread them among developers only and the average is still only around $1k/yr/dev.

Top 1% of AI users spend $9,567.53/mo or $114810.36/yr while median spends $15.70 or $188.40/yr. 80% of the top 1% of AI users are backed by venture capital.

https://ramp.com/data/ai-index#adoption#overall

Anthropic + OpenAI seem to have in the area of 70-100M users.

Only problem is that 1e6*114,810.36 ~= $114.8B which exceeds stated income of OpenAI, Anthropic, and all the Chinese firms combined.

When you crunch those top 1% guys, you get a number more like just 250-500k or so accounting for almost all current AI spend which leaves 46.5-47M devs using very little AI. You can adjust these numbers by massive margins (around an order of magnitude) and still see that the math doesn't work out like you seem to think.

When all that venture capital/private equity gets crunched, those companies won't be able to afford to keep blowing a hundred thousand per dev. When they back off, AI sales will drop further lowering available venture capital risking a massive downward spiral.


At least in my organization we simply use the cheapest models. It's possible for a developer to do most of their coding with something like GPT6-Luna for less than 100$ a month with current prices.

I don't know anyone dev spending even 500$ a month on AI, but nearly everyone does use it to write code. And I work a broke public sector organization, not some fancy startup or big tech.


I highly doubt that most code by hand. I work for a big, boring public sector organization that is pretty broke, and even we've had Copilot licenses for a long time. We just use the cheapest models to keep the bill in check.

The whole reason for switching from server-side to SPAs and frameworks was increasing responsiveness for users, better transitions, and allowing optimistic updating.

All of these thing still matter no matter what you are coding with.


If you reading every wiki, forum, dev blog/patch note, watching every video, etc before playing, I’d be more surprised if you could NOT play a game.

Exactly. All of these examples are well documented games. And even then it’s only really good at games that don’t need realtime.

You could make the same argument for these LLMs years ago but there's a reason that they've become faster and more accurate at beating these games. GPT 5.5 took 218 hours to beat Pokemon Fire Red; Astra took 21.

Only months ago did these LLMs make it past the Victory Road boulder puzzle without harness assistance.


GPT-4 was trained on all that too and couldn't get any task at all done

I would be willing to bet it can beat games un-released at training time as long as latency is not a requirement, which does limit the game types a bit.

The AI has trained on the entire factorio wiki along with every tutorial video ever made and who knows what else. I don’t see room for hidden anything in that scenario.

Models don't have perfect recall

If LLMs worked that way, you would never have to search for prior art again.

Why risk a sure thing? You might have others quit or get rid of someone more important than you thought. The morale hit might affect work quality. Any number of things can go wrong and its simply not worth it when you make $600k in profit per person.

States like Florida cap out at $275/week with a maximum of $3,300 (over just 12 weeks). McDonalds pays around $16/hr according to indeed. Unemployment almost might as well not exist.

Both of these issues come because our ancestors messed up changing the language.

Centuries ago, "thou" was singular second person and "you" was plural second person.

"Thou" got abandoned and "you" lost its original meaning to replace "thou" as the new singular second person.

"You guys" or "y'all" are simply attempts to re-introduce a needed pronoun.


So we get to fight sexism AND bring back cool anachronistic language? I'm in.

IIRC "you" was also the formal second person pronoun (like usted in Spanish or vous in French).

I think it's all just normal evolution of language. I actually think it's kinda neat how different English-speaking subcultures found different ways to reintroduce the pronoun.


"I think it's all just normal evolution of language."

The normal way for languages to evolve is for words to spread into different (adjacent) forms in order to express more nuances of their original meaning(s). The collapse of words' meanings, and for basic things as (nominative case) pronouns no less, like it happened in English for "thou" and "you", is not fitting the definition of "normal" in the larger context of linguistics domain.


Australia has 'yous' for plural you. Yous is used exactly how you might think it'd be used.

Beware! Y’all doesn’t necessarily include everyone:

> All y'all is used in the Southern United States when a speaker wishes to include everyone being addressed. Y'all may refer to an indefinite set of members of a group, but all y'all definitively includes everyone in the group.

https://en.wiktionary.org/wiki/all_y%27all


I dunno, as someone who’s lived their entire life in the southern US this sounds really pedantic. At best.

Also, is it just me or does that Wikipedia entry have zero citations? I thought Wikipedia was allergic to citation-free claims..


I just asked my SO and she confirmed that "all y'all" means everyone within earshot and "y'all" usually means a specific group of people. She also said "y'all" is similar to "on" in French and "youse guys" in the NE.

I'm guessing it's regional and/or group specific.


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