frez1

consoles are only getting much more expensive to produce as well, with PC parts prices going through the roof

because AI is more than 3 American companies. even if they self-regulate, China, Russia or North Korea never will.. so you have to factor in the geopolitical situation as well

i believe the maintainers stance is that jellyfin should not be exposed and it should always be behind a vpn

isn't this exactly what the LGTM stack is?

agreed. creatives themselves have nothing to worry about because AI generated novels are a very poor imitation of one crafted by humans.

the issue is the review processes from publishers cant scale

I've recently started taking it and I've definitely noticed improved cognitive function. obviously all anecdotal and likely other contributing factors too (have been exercising more)..

Doing this without deep understanding can lead you down wrong paths that aren't easily fixable though.

Im the pre-AI era you could ask engineers to write a document and that proves they've thought/ not thought a problem space out. having docs be an important part of your company culture was essentially the forcing function for everything else.

With AI, docs are now very cheap to produce and not immediately proof of thought.

e.g. if you see something that doesn't make sense you can't just ask the author to write a doc for it anymore, because they'll just feed that to an LLM.

yeah, this only applies to lifetime subscribers

I agree, and I think this extends to programming too. A lot of of software practices are built on the expectation humans are writing, reviewing and shipping code with that quickly becoming the case, processes, practices and even programming languages themselves will evolve to what agents need, rather than humans.

a version of Conway's law aimed specifically at agentic communication rather than human.

what i enjoy the most is every "AI will replace engineers" article is written by an employee working at an AI company with testimonials from other people also working at AI companies

The way things usually gain traction is when a big tech company has success experimenting with it. it happened with node way back and happening with rust now.

the fact we haven't heard much about was use is probably because it isnt as valuable as we think, or no one has played around with it yet to find out

It sounds like the author and their team were more comfortable with node.js than python. they acknowledge fastapi was a good alternative that could solve their issues and allow some code reuse, but decided not to because they just wanted to use node.

the gist of this blog post is this company knew and understood node better than python, so they migrated to what they knew.

The idea is to keep your mind clear on what the priority is. If you didn't write many lines of code but still solved problems, you did your job. The two aren't mutually exclusive, but it helps in prioritization