jp8585

Now you are just being paranoid, lol. You have me wondering now why am I writing like an llm. (strawberry has 3 rs). Are you a bot? Shoot me an email (that we listed on the page) and let's have a zoom call

We actually have a full page on the methodology we used. We did over 20 experiments on the best way to digest this dataset and ended up settling on just using llms to review each interview in-depth. This helped us unlock some insights that would only be available if we paid someone to actually sit down and read every single interview. All other nlp approaches we used, like topic modeling, tfidf, and the roaring 2010s wordcloud,s were just too boring to even warrant a write-up. We tried bringing up as many raw excerpts to light as they make our point that much clearer. People are not simply "happy" about ai as Anthropic would have us believe, they are torn by it. It gives them a deep sense of angst and make them question the authenticity of their very existence.

I know, right? That’s part of the angst these professionals suffer. Failure, despite having the infinite leverage provided by these tools.

I guess all the interview quotes almost feel like those fake reviews on websites. They are all true excerpts, though. And we had a lot of fun creating all of those interactive bits. I get the sense there's a sort of ai content ptsd here, even some of the replies here are being flagged as ai, lol

That’s fascinating. If you don’t mind me asking, what type of software development do you do? Have you tried any of the latest coding tools? Or even used LLMs as a replacement for stack overflow?

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 been told it can be “sloppy” sometimes.

I definitely understand that this is the rational way of viewing it. Leveraging these tools is an incredible feeling, but the sense of dread is always there in the corner. You can just feel a deep sense of angst in a lot of these interviews. In any case, I would rather have them and use them to their full extent than to become obsolete. Becoming Leonardo it is.

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 clutch, then it becomes an essential tool and finally it takes over the essence of the profession itself. Not using it feels like a waste of time. 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. The optimists will say “you will be able to do 10x the amount of work”. That might be true, but the nature of the work will be completely different. Managing a farm is not the same as planting a seed.

Not at all. Maybe for low paying jobs.

Long term upwork Data Scientist here. It seems he had a bad experience, that could have happened on any other place / platform. There are always horror stories about how platforms deal with conflicts (think PayPal, Stripe, Uber...)

Out of >30 contracts I had, only 1 resulted in a dispute, and it was decided in my favor. I do agree the whole monitoring thing is absurd and I generally don't take jobs from clients that demand hours to be logged through the monitoring app. If you want to see how the jungle looks like, please have a go at freelancer.com.

Exactly

As a machine learning freelancer, I can definitely understand the main argument of this article. When I started applying for contracts I always felt overwhelmed by the competition with math PhDs and other developers with brighter pedigrees. After closing my eyes to the competition, I started offering high quality communication, clear project specifications and complete honesty in terms of project feasibility, just as I would for any regular software project. After over 30 successful projects, I can't say I developed an Ai that can beat Starcraft, but I definitely brought a lot of value to all my clients. If you are passionate about machine learning and really like the grind, just go for it. Work finds a way