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The Waymo effect: how AI is quietly making research less collaborative

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141–150 of 308 posts

Re: The Waymo effect: how AI is quietly making research less collaborative

#141
post #55

AI is extremely useful, but it’s also extremely easy to fool yourself into thinking you understand what is going on without really understanding. This is often true with the code, but also for math and science concepts, etc. Not many professions are formally trained to be cognizant of this lack of understanding, and how to confront it. Usage of AI in collaborative settings is an amplifier of these issues, especially…

> But you can’t have all things at once: you can’t move at speed with AI, collaborate effectively, and understand what is going on as an expert would. It is not physically possible for a human brain.

Very well put. You can pick one or two, but not all three.

Re: The Waymo effect: how AI is quietly making research less collaborative

#143
I'm seeing this on a current academic research project as well- it's like throwing fuel on the fire for all the best and worst parts of working with researchers.

First: it's definitely become harder to get people to integrate their work and use standard tools. We're exploring creating AI skills etc for our tooling, simply because the actual audience we need to convince isn't in the room. If the LLM doesn't echo our recommendations, people will go with whatever one off script their personal bad idea bear churns out. Many research software errors are edge cases (scaling, numerical errors, etc), and "works on my computer" syndrome is endemic in the literature. The field has made big strides in enabling computational reproducibility, but lately it feels like we're set to lose ground again.

Second: LLMs have a bias to action, and can easily bury the user reporting on whatever. I've seen multiple seminars recently where the Q&A devolves to "Q: What are the implications of this finding? A: I don't know, this is just presenting a report on the results".

It seems that humans are still figuring out how to maintain agency and steer the chatbot to the big picture, and unreviewable science is just as likely an outcome as unreviewable code... but with far less automated tooling to help guide the process.

Historically, PIs nominally guided the big picture, and the entity who did the work was a participant in the review process; now students are having to look at projects from a new angle with their own (invisible) chatbot underlings. I suspect that the solution will involve a combination of technological change, capturing common expert review checks, and really adjusting the kinds of skills that trainees are expected to have early on.

Re: The Waymo effect: how AI is quietly making research less collaborative

#145
> the driver was, for many of us on many days, the last stranger we were obliged to encounter. The last person from outside our bubble – professionally, politically, socially – with whom we had an unchosen conversation. The last reliable source of a view we did not ask for.

We need more encounters like these in our human lives. Burst our little bubbles every now and then.

Re: The Waymo effect: how AI is quietly making research less collaborative

#146
This touches on some of the topics that drove Sergey Karayev to write about ‘multiplayer AI’ - https://fullstackdeeplearning.com/working-with-ai-agents/mul...

The fact that work is retreating into private chat sessions with AI agents is a loss; the idea of bringing those agentic collaborators out into public spaces to collaborate with teams is interesting.

Re: The Waymo effect: how AI is quietly making research less collaborative

#147

Beautifully written essay. The benefits of serendipity are intractable by design whereas throughput gains can be readily measured (or at least we think so). The OP notes a point - "who did you think with?" -- maybe there are points based on some social graph, that adds weightage to a particular output? Edit : Other posters have said it is AI generated, I did not catch it, but felt the point was well-made. I dont know…

> Beautifully written essay.

Agreed! Great flow, structure, no BS, really good!

I would wager this didn't use LLM help to be written. Though if I'm wrong I'd really like to know and would be very impressed. (And if I'm right then the article is an illustration of its own message. You don't learn how to write such essays without having practised it for many years without opting for the easy way of letting the LLM do this for you.)

Re: The Waymo effect: how AI is quietly making research less collaborative

#148
post #4

This article is written by an LLM, by the way. ("Quietly" is... as Claude might put it... "often the quiet tell".)

I wanted you to be wrong, and to be able to make this an example of us over-reacting to certain trigger words created by AI, but unfortunately I just scanned the first couple paragraphs with pangram and it reported 100% AI, so you're probably correct. I get a funny feeling in my stomach over the idea that common and effective means of communication (i.e. it's not X it's Y) have become faux pas to use because of AI. I…

Why trust pangram? What are their accuracy scores in the wild? Ai detection is notoriously difficult.

Re: The Waymo effect: how AI is quietly making research less collaborative

#149
post #108
post #32

I work at an intersection of tech, applied research, and science. Something I’ve noticed in collaboration that does occur is an increased confidence in people outside their domains to say things with conviction. I have people who have limited experience with software pushing out layers and layers of abstracted code that’s fairly sophisticated but often misguided in intent who will say what they’re doing is correct, w…

"I also hear a lot more questioning people in their domains and challenging opinions, then hearing what I can only imagine are fragmented pieces of conversations they had with an LLM thinking through some argument. Then there’s silence when you discuss shortcomings, then they come back later with their memorized fragments of what you said, combined with memorized fragments of the LLM response to the argument." We hir…

Nip it in the bud quickly

Re: The Waymo effect: how AI is quietly making research less collaborative

#150
post #4

This article is written by an LLM, by the way. ("Quietly" is... as Claude might put it... "often the quiet tell".)

Which, given the section below from the article, ends up kind of ironic: > There is a deeper cost still, and it concerns the thing LLMs do most impressively: writing. [...] Outsource the writing and you have not accelerated the thinking; you have skipped it. I think the author might not know what "impressive writing" or even "good writing" is, which would explain both how they could put that part into the article, an…

> the author might not know what "impressive writing" or even "good writing" is

Well the author in this case is Claude, and AIs write like that because the assistant persona really thinks that's what good writing sounds like. They're wrong, but they're just doing what they were taught. There's a reason LLM raters consistently score LLM writing highly.

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