you're supposed to have your LLM summarize it

> when the numbers flip sufficiently that a new group is now under represented they get told "that's too bad"

according to whom? do you have any examples?

likely both

Certainly both. About half of AI bug reports I get are invalid. Many others are questionable. It's a huge time sink figuring it out.

https://www.vulncheck.com/blog/anthropic-glasswing-receipts

It's almost never worth spending human time triaging AI reports vs having a different AI go triage them/attempt to replicate them to your standards etc. Obviously it sucks to burn opus or sol tokens on luna or sonnet slop bug reports but it sucks way more to burn human time and attention. And the majority of the time the ai auto filing these bug reports is not in a test harness that's actively replicating findings and focuising on providing a useful report because it's a rogue openclaw dropping drive by github issues and the user didn't tell it to make sure findings are valid before posting them. AT the least a refutation/replication round where you filter out any findings your AI can't reproduce or can prove to be irrelevant is going to help a lot with keeping your sanity

The results of the triage are the problem. Many of the triage results are invalid.

That's kind of what I was afraid of. Both is really bad news. If you think of it in terms of average speed over ground, working on low quality reports is like spending a bunch of time at v=0.

I have the same thought on all these "I don't use AI" posts: I would like to not use an LLM too, but I'd soon be out of a job if I didn't. It's an exhausting place to be and I wish I were closer to retirement.

In which ways are you forced to use it though?

They're all just vibecoded, so whenever you need one just spend an hour doing it yourself I guess

This is why way. I vibe coded my own for personal use when the one I used went down.

so like every video game ever created? at what point do people decide it matters? just because it aligns with personal feelings about ai use?

"We surveyed 319 knowledge workers who use GenAI tools (e.g., ChatGPT, Copilot) at work at least once per week, to model how they enact critical thinking when using GenAI tools, and how GenAI affects their perceived effort of thinking critically. Analysing 936 real-world GenAI tool use examples our participants shared, we find that knowledge workers engage in critical thinking primarily to ensure the quality of their work, e.g. by verifying outputs against external sources. Moreover, while GenAI can improve worker efficiency, it can inhibit critical engagement with work and can potentially lead to long-term overreliance on the tool and diminished skill for independent problem-solving. Higher confidence in GenAI’s ability to perform a task is related to less critical thinking effort. When using GenAI tools, the effort invested in critical thinking shifts from information gathering to information verification; from problem-solving to AI response integration; and from task execution to task stewardship. Knowledge workers face new challenges in critical thinking as they incorporate GenAI into their knowledge workflows. To that end, our work suggests that GenAI tools need to be designed to support knowledge workers’ critical thinking by addressing their awareness, motivation, and ability barriers."

you're absolutely right

That's the problem, none of the legislation says "black people can't be allowed to vote" but we know based on statistics that things like voter ID disproportionately harm people in lower income brackets, which are disproportionately minorities. So we get these wheedling "not racism actually" rulings. There's a massive compounding effect that the restriction of economic opportunity has had over generations.

One of the more direct actions was the dismantling of affirmative action, which was an intentional set of rules set to undo some of this historical aggregated harm.

And yet… there have been lawsuits that surfaced memos and audio clips where GOP strategists were blatant about developing proxies for “is black”.

Great, both are generally terrible. Nothing like ordering a pizza and having it sit in someone's car for an hour with a driver who has no attachment to the restaurant, who could not care less about what you think. At least delivery drivers employed by the restaurant had some slight incentive to get food to you while it was still edible.

Third party delivery services essentially break the chain of responsibility... food late and cold? tough luck, but please tip in advance. If you don't tip your driver will be very mad at you, maybe they'll text you about it, and we pay them so poorly that it's actually your fault for keeping them impoverished. Talk to our customer service bots and maybe we'll give you a $5 coupon for your next Doordash order.

I do deliveries via gig apps for extra cash and to get away from the computer and it's basically a complete toss up.

Some people are professional about it (I bring my own drink carriers, food bags, etc and have a minor Andretti gene so orders are as quick as the law allows), but most of the others I see doing it may as well not be. Slow, lazy, check nothing, and look like they just fell out of a methadone clinic (read: not the person you want showing up at your door in the dark at 8pm).

It's frustrating if you try to do it properly but get judged by customers like you're some out of work junkie (when, ironically, most people I deliver to live in a lower-income situation than I do).

From the driver's side, you get inundated with low-paying orders, often rapid-fire as you're driving to either pick up or deliver another order (like so bad that if you're not paying attention, you could get into an accident). Like literal Pavlov's dog, bell jingling over the top of the navigation instructions and a big pop up on screen. Essentially [1].

The entire thing is a psychological rat trap (by design as best as I can tell as these apps aren't terribly complicated to build/design; just scale), so it's not a total surprise when your driver fails to provide good service. They actually make it quite difficult to provide good service (e.g., I routinely get "already picked up" orders on my late night runs w/ no compensation for sitting/waiting on restaurant staff).

I think a lot of people should try doing deliveries via these apps a few times just to experience it. The psychological pressure alone likely makes a lot of people crack. It's all quite fucked up.

[1] https://www.youtube.com/watch?v=7my1G0TrwT8

On the other countering opinion, I am a generally happy customer of both parties for years now (I pay for dashpass). I think I’m probably one of their heavier users as I use both services multiple times per week.

Food generally arrives warm and if not, a quick heat up in the air fryer generally solves most things. Soup based noodles are generally packed separately that you need to prepare it at home anyway.

My main gripe is there is the general occasional missed small item (like sauces, a drink), which I do complain about in DD. I imagine DD does provide this feedback to restaurants because it has been trending better over time.

Yep, unfortunately with the minimum wage mandate in CA pushing wages for pizza delivery drivers up to $20/hr led to over a thousand Pizza Hut drivers being laid off.

Unfortunately the existence of the (less-good) delivery options through DD and IC likely facilitated that decision.

but then you have states coming back around to place minimum wage on gig workers too, so the whole "we're laying them off so you can pay gig workers less" ends up completely pointless

so now you have delivery services paid at a similar wage anyway, but a whole third party organization that needs to extract its rent from the system