zlacker

>>ChrisA+(OP)
Watched it a while ago. Made me seriously think about AI and what we should use it for. I feel like all the entertainment use cases (image and video gen) are a complete waste.

>>incogn+23
Why are images and video a complete waste? This makes no sense to me.

Right now the generators aren’t effective but they are definitely stepping stones to something better in the future.

If that future thing produces video, movies and pictures better than anything humanity can produce at a rate faster than we can produce things… how is that a waste?

It can arguably be bad for society but definitely not a waste.

>>threet+e9
Parent said "entertainment use cases" are a complete waste, not all uses of images and video. I don't agree, but do particularly find educational use cases of AI video are becoming compelling.

I help people turn wire rolling shelf racks into the base of their home studio, and AI can now create a "how to attach something to a wire shelf rack" without me having to do all the space and rack and equipment and lighting and video setup, and just use a prompt. It's not close to perfect yet, but it's becoming useful.

>>Quantu+Fk
If AI can produce movies, video and art better aka “more entertaining” then humans than how is it a waste?

>>threet+xx
But it’s not. I think most can agree that there really has not been any real entertainment from genAI beyond novelty crap like seeing Lincoln pulling a nice track at a skate park. No one wants to watch genAI slop video, no one wants to listen to genAI video essays, most people do not want to read genAI blog posts. Music is a maybe, based on leaderboards, but it is not like we ever had a lack of music to listen to.

>>wasmai+1F
Bro. You and your cohorts said the exact same thing about LLMs and coding when ChatGPT just came out. The status quo is obvious. So no one is talking about that.

Draw the trendline into the future. What will happen when the content is indistinguishable and AI is so good it produces something moves people to tears?

>>threet+kr1
Bro, it sure if you noticed. ChatGTP isnt that great at coding end to end. It can regurgitate common examples well, but if your working on large technical code bases it does more harm that good. It need constant oversight, why don’t I write the code myself. We are at an infrastructure limit, not sure we are going to see order of magnitude improvements any more.

>>wasmai+sla
I no longer write code. I’ve been a swe for over a decade. AI writes all my code following my instructions. My code output is now expected to be 5x what it was before because we are now augmented by AI. All my coworkers use AI. We don’t use ChatGPT we use anthropic. If I didn’t use AI I would be fired for being too slow.

What I work on is large and extremely technical.

And no we are not at an infrastructure limit. This statement is insane. We are literally only a couple years into LLMs becoming popular. Everything we see now is just the beginning. You can only make a good judgement call of whether we are at our limit in 10 years.

Because the transition hit so quickly a lot of devs and companies haven’t fully embraced AI yet. Culture is still lagging capability. What you’re saying about ChatGPT was true a year ago. And now one year later, everything you’re saying isn’t remotely true anymore. The pace is frightening. So I don’t blame you for not knowing. Yes AI needs to be managed but it’s at a point where the management no longer hinders you and it instead augments your capabilities.