For me, I've mostly switched to reading on my phone. Dark mode, plus OLED, works very well for my needs.
6,005 karma · joined May 22, 2019
For me, I've mostly switched to reading on my phone. Dark mode, plus OLED, works very well for my needs.
Has anyone else noticed this, as they've scaled up their AI coding use? I've found it harder to stay on task, and it's affected a broad range of my personal activities. I'm able to make incredible things happen with AI tools, but do worry about the personal costs.
Any chance I can pay for a license that includes one year of updates, as opposed to just doing a monthly subscription?
That's where you get it wrong. The world is full of mediocre and low quality work in many, many fields. We all, in fact, depend on mediocre work in many ways.
Many, many people would prefer a solution with mediocre or even bad code than no solution at all while they wait for "high quality work" that never appears.
The magic of LLMs, especially as the technolgy improves, is that a truly mind boggling number of solutions to problems will be created with thoroughly mediocre (or worse!) LLM generated code. And the people benefitting from those solutions won't care! They'll be happy their problems are being solved.
How many people had any idea this was happening? Very few, I suspect.
A malicious actor could take control of a model provider, and then use it to inject code into many, many different repos. This could lead to very bad things.
One more reason that consolidated control of AI technology is not good.
One of our software suppliers has particularly bad software for password resets, so there's a steady stream of people needing help for one reason or another. This company seems unable to fix these problems, unfortunately. Ughh.
This link was posted with intent to facilitate the distribution of copyrighted material. The person who posted it justified posting the link by saying some people don't have a subscription.
I understand that some people think copyright shouldn't exist, but it clearly is being circumvented here.
This is exactly what I worry about when I use AI tools to generate code. Even if I check it, and it seems to work, it's easy to think, "oh, I'm done." However, I'll (often) later find obvious logical errors that make all of the code suspect. I don't bother, most of the time though.
I'm starting to group code in my head by code I've thoroughly thought about, and "suspect" code that, while it seems to work, is inherently not trustworthy.
Pretty much every damn publisher.
Nobody who wants to build a stable business would want to depend on micropayments.
Such a system would be a race to the bottom, just like garnering "Facebook likes" and similar "virality" is a failing proposition. (And look at what happened to companies like Buzzfeed, who were focused on just this.)
We have a huge problem in our society, of people not valuing journalism, and not wanting to pay for it. Here on HN you regularly see people attempt to actively subvert copyright (by linking to "archive sites"), in addition to the constant drip of criticism when publishers do things to try to build their business, such as collect email addresses, use paywalls, etc.
Publishers need reliable, stable, income, not the lottery type system that would come from micropayments. They need to be paid to do journalism, not write articles that convince people to spend "coins" on them.
Fortunately, publishers are actually figuring out how to build stable businesses. There's still a lot of work to do, especially in terms of local journalism, but it's clear that there is no future for micropayments, based on what seems to actually work.
And please, I beg you, set aside a budget to support journalists, and spend it.