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We ran Anthropic’s interviews through structured LLM analysis

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Re: We ran Anthropic’s interviews through structured LLM analysis

#51

Earlier quoted context omitted.

“Not X. Not Y. Z.” – Are you not willing to edit the tropes out? Or maybe teach your LLM to fix itself. Starting rule set: https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing

That is not a definitive test.

No, but the whole article felt definitively AI-generated.

Re: We ran Anthropic’s interviews through structured LLM analysis

#52
post #28
post #23

This article is rife with unedited llm signals. This makes me question their methodology here. I want you believe what they found, but I don't trust this analysis. If they were this sloppy with the write up, how sloppy were they with the science?

We have a full page on the methodology we used! Let me know if you’d like access to the dataset we created for this. The aim was not to be scientific but to flush out some deeper meanings from these interviews that typical nlp techniques struggle with. Ps: Of course we used llm tools as a writing aid, I’d be willing to bet those “signals” probably come from my own writing though and my appreciation of Tom Wolfe. I’ve…

The bits that stand out to me are the non-question questions.

“Their headline?”

“Scientists are thriving. The workforce is managing. But creatives?”

“The top trust destroyer?”

Re: We ran Anthropic’s interviews through structured LLM analysis

#53
post #5

Earlier quoted context omitted.

I multi task much more now that i can farm off small coding assignments to agents. i pay hndreds per month in tokens. for my role personally its been a massive paradigm shift.

Might work for you, but if I multi task too much, the quality of my output drops significantly. Where I work, that does not fly. I cannot trust any agent to handle anything without babysitting them to avoid going off the rails - but perhaps the tools I have access to just aren't good (underlying model is claude 4.5, so it the model isn't the cause). I've said this in the past and I'll continue to say it - until the t…

I think it depends on the project and the context, but I developed my own task management system particularly because of this challenge. I'm starting to extend this with verification gates as well.

If I worked on different types of systems with different types of tasks I might feel the same way as you, i think AI works well in specific targeted use cases, where some amount of hallucination can be tolerated and addressed.

What models are you using, I use opus 4.5, which can one shot a surprising ratio of tasks.

Re: We ran Anthropic’s interviews through structured LLM analysis

#54
post #5

Earlier quoted context omitted.

I multi task much more now that i can farm off small coding assignments to agents. i pay hndreds per month in tokens. for my role personally its been a massive paradigm shift.

To each his own, but multi-tasking feels bad to me. I want to spend my life pursuing mastery of a craft, not lazily delegating. Not that everyone should have the same goals, but the mastery route feels like it's dying off. It makes me sad. I get it that some people just want to see the thing on the screen. Or your priority is to be a high status person with a loving family etc.. etc... All noble goals. I just don't f…

I lazily delegate things that can be automated, which frees me up to do actual feature development.

Re: We ran Anthropic’s interviews through structured LLM analysis

#56

Earlier quoted context omitted.

> just ask any software engineer about what’s happening to their profession I'm a professional developer, and nothing interesting is happening to the field. The people doing AI coding were already the weakest participants, and have not gained anything from it, except maybe optics. The thing that's suffocating is the economics. The entire economy has turned its back on actual value in pursuit of silicon valley smoke.

Nothing interesting happening in the field? If you've been paying attention the trend over the last two years has been that the problem space that requires humans to solve has been shrinking. It's continuing to shrink. That's interesting. Significantly interesting. As an engineer that's lead multiple teams including one at a world leading SaaS company, I don't consider myself one of the weakest participants in the fi…

So what does that amount to? Shared Claude code hooks and skills?

Re: We ran Anthropic’s interviews through structured LLM analysis

#57
post #2

Anthropic released 1,250 interviews about AI at work. Their headline: "predominantly positive sentiments." We ran the same interviews through structured LLM analysis, and the true story is a bit different. Key findings: • 85.7% have unresolved tensions (efficiency vs quality, convenience vs skill) • Creatives struggle MOST yet adopt FASTEST • Scientists have lowest anxiety despite lowest trust (see ai as a tool, plai…

And then you had it write your post even here on HN. C'mon.

Re: We ran Anthropic’s interviews through structured LLM analysis

#58

Is this any different than the adoption of any technology. I think of the transition from practical effects to CGI in Hollywood. Anxiety levels of the creative model builders was sky high at the time. It worked itself out and now there are different jobs.

I think if you ask those specific people, you might find different answers. There are different jobs, sure, but not necessarily for those people.

Re: We ran Anthropic’s interviews through structured LLM analysis

#59
post #6
post #3

The story that’s solidifying is the tech is cool, it’s useful for certain things (eg, meeting note taking), but business have run a ton of “innovation lab” pilots that have returned little to no measurable value with leaders getting frustrated at the invested red ink. In short the substance isn't living up to the hype. Everywhere I look the adoption metrics and impact metrics are a tiny fraction of what was projected…

I actually think things improved substantially when compared to last year. The latest batch of sota models is incredible (just ask any software engineer about what’s happening to their profession). It’s only a matter of time until other knowledge workers start getting the asphyxiating “vibe” coding treatment and that drama is what really fascinates me. People are absolutely torn. It seems that ai usage starts as a cl…

I'm a professional developer, using SOTA systems, and dealing with them is like bargaining with a fucking empathy vampire. It is emotionally draining.

They trick the reptilian part of your brain that you're dealing with something resembling a human being, but if they were one, they'd be described as a pathological liar and gaslighter. You can't go off on them for it, because they don't give a shit, and you shouldn't go off on them for it, because making a habit of that will make you a spiteful, unpleasant piece of shit for your coworkers to be around.

It's one thing when a machine or a tool doesn't function in the way you intend it to. It's another when this soulless, shameless homunculus does.

Re: We ran Anthropic’s interviews through structured LLM analysis

#60
post #6

Earlier quoted context omitted.

I actually think things improved substantially when compared to last year. The latest batch of sota models is incredible (just ask any software engineer about what’s happening to their profession). It’s only a matter of time until other knowledge workers start getting the asphyxiating “vibe” coding treatment and that drama is what really fascinates me. People are absolutely torn. It seems that ai usage starts as a cl…

There’s a sense of dread that comes from realizing that it’s not useful to “do work” anymore. That in order to thrive now, we need to outsource as much of your thinking to GPT as possible. If your sense of identity comes from “pure” intellectual pursuits, you are gonna have a bad time. This is 180 degrees from how to think about it. The more thinking you do as ratio to less toil, the better. The more time to apply yo…

I don't necessarily agree with you completely, but I think that's a really great analogy. At the very least full of optimism.
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