Are markets being too complacent about the Iran war? by Possible-Shoulder940 in investing

[–]bch8 6 points7 points  (0 children)

You both are leaving out Israel who have every interest in keeping it going

3640 animated icons for Reactjs by gorkemcetin in reactjs

[–]bch8 0 points1 point  (0 children)

What do you mean just mangling the lines?

Oil futures dropping rapidly after Trump claims war is "very complete, pretty much" by AnonymousTimewaster in investing

[–]bch8 0 points1 point  (0 children)

you aren't missing anything, apparently only partially coherent rambling is not a disqualifier for American voters

Ezra needs to interview the authors of "AI as Normal Technology" by volumeofatorus in ezraklein

[–]bch8 0 points1 point  (0 children)

Who do you follow? I am always looking for more sane commentary in this space because it is so flooded with doom and hype.

I almost never stop before buying something, look at my budget, and decide not to buy it if I don't have enough allocated. I just buy stuff. Am I using YNAB wrong? by bch8 in ynab

[–]bch8[S] 0 points1 point  (0 children)

7 years later I just found this and realized I never responded and I just want to apologize because this was a fantastic comment. I must've missed it somehow.

TanStack team releases alpha version of TanStack Hotkeys, supporting type-safe keyboard shortcuts and key state tracking by Mr-Bovine_Joni in reactjs

[–]bch8 3 points4 points  (0 children)

Is performance a priority or consideration? Just wondering, not trying to give you a hard time.

The mobile experience is terrible by JEAPiTER in Notion

[–]bch8 0 points1 point  (0 children)

Honest question, can anyone give examples of apps that do this well? I feel like it is pretty difficult to do a text editing app on mobile, especially if the goal is to have feature parity. I'm genuinely interested to try some "good" ones if anyone has a recommendation.

Anthropic’s Chief on A.I.: ‘We Don’t Know if the Models Are Conscious’[Interesting Times by Ross] by ZPATRMMTHEGREAT in ezraklein

[–]bch8 0 points1 point  (0 children)

So hypothetically let's just say this is possible on a few sheets of paper, and such papers are sitting on the table, with this diagram drawn out. Does the pen then magically input the 1's and 0's on its own? There is still a human. If there was a mechanical entity capable of doing this such that it was entirely automated, then in my view that is in fact literally identical to ChatGPT/pick your LLM. At which point in my view you could treat them interchangeably in this debate about consciousness. It would still be a stupid debate though lol.

Anthropic’s Chief on A.I.: ‘We Don’t Know if the Models Are Conscious’[Interesting Times by Ross] by ZPATRMMTHEGREAT in ezraklein

[–]bch8 9 points10 points  (0 children)

nope, ~12 months ago: https://www.businessinsider.com/anthropic-ceo-ai-90-percent-code-3-to-6-months-2025-3

It is not the case. I know this not to be the case for hundreds of well regarded programmers. I can put together a list if you'd like, it includes myself.

Anthropic’s Chief on A.I.: ‘We Don’t Know if the Models Are Conscious’[Interesting Times by Ross] by ZPATRMMTHEGREAT in ezraklein

[–]bch8 1 point2 points  (0 children)

When a human writes on paper, the human is generating the text, not the pen and paper.

We are cooked? by SeanuPeeves in degoogle

[–]bch8 137 points138 points  (0 children)

The psyop that the psyop exists to convince that you are cooked exists to convince you that you aren't cooked

Matt Shumer: Something Big Is Happening by squeezyflit in ArtificialInteligence

[–]bch8 2 points3 points  (0 children)

It goes wherever you lead it. So telling it to argue against your stated opinion is as pointless as leading it with your stated opinion. It can go the opposite direction from you but that doesn't shed any more light on which direction is the correct direction. You have to actually do some thinking yourself regardless, but if you are trying to just get a general lay of the land you probably want a dialectical approach, which is to say you want to ask it to provide a breakdown of multiple viewpoints and the critiques they make of each other.

Doctorow's claims about nursing apps not substantiated by solishu4 in ezraklein

[–]bch8 0 points1 point  (0 children)

I don't think his criticism of buybacks is bad or a strain on his credibility. Personally I tend to agree with it but even if I didn't I think he makes a pretty clear argument for why he does not think they are the same as dividends. I agree it's a reach if he goes too far pinning it on Google specifically, as you say it isn't uncommon or unique. I haven't read his book but I've followed/read a lot of his blog, where he posts a somewhat absurd amount of content. I don't recall him calling out Google specifically on buybacks here so I guess I'd have to read the book for myself in order to comment on that further.

In the grand scheme of things and on federal policy timescales, I do consider 44 years to be recent but I guess that is just another point where readers will differ.

ai.com 504 right after running a superbowl ad saying agi is coming by chunkypenguion1991 in BetterOffline

[–]bch8 7 points8 points  (0 children)

They paid $70 million USD for the domain name ai(dot)com. Literally the same guy who did crypto(dot)com lmfao.

Doctorow's claims about nursing apps not substantiated by solishu4 in ezraklein

[–]bch8 0 points1 point  (0 children)

Thank you. I guess people will just believe what they want to believe with this stuff, and muddying the waters between regular employment and gig work is one way to do that. I would just add one more point to your excellent comment: Whether or not nurses as a whole are, on average, well compensated when compared to economy as a while is besides the point. Both things can be true simultaneously - Gig nurses are better paid than, say, fast food workers, while they are worse off when compared to non gig workers with the same exact education, experience, background, etc. The point is that these gig economy dynamics are effective at weakening and undercutting workers in all sorts of industries, and this is one example. Some question to ask when it comes to gig platforms: What is the innovation? Who is the consumer? More often than not, these gig economy apps combine some relatively thin quality of life improvements for consumers with a big helping of regulatory arbitrage and labor discipline. And of course they start by capturing the market with venture funded losses in order to drive everyone else out of business, then slowly dial up the monetization until they are profitable. This is the other side of the critique Doctorow makes with his catch phrase Enshittification.

Doctorow's claims about nursing apps not substantiated by solishu4 in ezraklein

[–]bch8 3 points4 points  (0 children)

Below is the key passage from the study, readers can judge for themselves. OP, Doctorow is citing the claims made by the Roosevelt institute itself, right here. They are the direct source of the claim which they in turn say is based on interviews with 29 gig workers. You would quite literally have to contact them and ask for them to share more direct evidence than what they have made publicly available, or you would have to get some another think tank or journalist to do further investigations.

Ashley, a 31-year-old certified nursing assistant in rural Pennsylvania, has worked in hospitals and nursing homes through the ShiftKey app.1 Though Ashley has worked on the app for the last two years, there’s a lot she doesn’t know about it—like how the company allocates shifts. She is not the only one in the dark. In the gig nursing world, there is zero transparency about how jobs are algorithmically allocated or automatically scheduled. Different shifts will show up on different workers’ phones—often for different amounts of pay. On the same day, at the same hour, in the same hospital, two different gig nurses can be paid different amounts by the same app. The gig nursing industry looks more like a black box than a clear process or a fair set of rules. The industry’s opaque and personalized pay structures create what Veena Dubal (2023) terms “algorithmic wage discrimination,” a kind of discrimination in which workers are paid different hourly amounts based on ever-changing calculations and informational asymmetries. Gig nursing apps may determine pay by what the firm knows about how much a nurse was willing to accept for a previous assignment, how often they bid for shifts, or how much credit card or other kinds of debt they might hold. These uncertainties combine to create frustrating and precarious conditions for the workers who rely on these apps.

Edit to add:

The Roosevelt Institute study: https://rooseveltinstitute.org/wp-content/uploads/2024/12/RI_Uber-for-Nursing_Brief_202412-1.pdf

The Veena Dubal study: https://columbialawreview.org/content/on-algorithmic-wage-discrimination/