Comments URL: https://news.ycombinator.com/item?id=49438312

Points: 2

# Comments: 1

As a start, why do you disagree and how would you further this discussion?

LLMs will certainly be an aide, but assuming adoption of them is required across a whole _field_ ignores whole classes of problems, domains, and constraints the production of software covers.

Rather, we should be wary of allowing our skills and hard-earned knowledge to atrophy by over reliance on new technology that is far from perfect, reliable, or even universally available. These tools more than any before suffer from the junk-in-junk-out problem and I’d much rather work with someone who knows their fundamentals than someone who knows their way around a the LLM of the month.

Edit: Words are my own. I am not a rep of WOTC or Hasbro.

Comments URL: https://news.ycombinator.com/item?id=48652028

Points: 113

# Comments: 67

This changed when they were the first folks out there to get a dynamic interface in the browser (some of you may fondly or not so fondly remember the days of DHTML, XMLHTTPRequest, and the like). Fast forward 10 or 15 years and now GMail is the standard by which everything else is measured.

I'm sure there are some things that are objectively better, but a surprising amount of preference comes from familiarity.

Comments URL: https://news.ycombinator.com/item?id=47925425

Points: 234

# Comments: 218

Vogue did a decent overview of this[1] and history is littered with all kinds of examples if you go looking.

1. https://www.vogue.com/article/dark-history-of-the-far-rights...

The problem is that we have markets where we: - Incentivize organizations to pursue profits at the expense of everything else, which includes social good and civic rights - Rarely hold bad actors accountable (and almost never in a timely manner)

Which means, given enough time, we're always going to trend to whatever makes the most money. Targeted advertising makes money, and will continue to do so unless or until we collectively decide to make it a greater risk to profits than it is today.

Say what you want about marketing-isms of your typical LLM, they have been trained and often succeed at making legible, easy to scan blobs of text. I suspect if more LLM spam was curated/touched up, most people would be unable to distinguish it from human discourse. There are already folks commenting on this article discussing other patterns they use to detect or flag bots using LLMs.