zlacker

It's not obvious to me whether we've actually found a good killer app for generative AI yet, unless you consider chatgpt or sites like midjourney the killer apps. A lot of the new wave of ai startups are just wrappers for gpt. I don't think that adds a ton of value over just asking gpt-4 your query as opposed to subscribing to a billion different ai services. I also question the value of ai art in general when everyone involved in creative labor thinks you're a piece of shit for using it.

>>__loam+(OP)
I certainly consider ChatGPT to be one killer app.

Copilot to be another.

Midjourney to be another - or at least diffusion based image editing tools which can be brought into photo and video editing workflows. The killer app here is probably integration of diffusion models into apps like Photoshop (and eventually video).

Some real virtual assistant applications seem right around the corner (i.e. a real life J.A.R.V.I.S seems like an inevitability within the year rather than a pipe dream, and to me would be a killer app)

And then lots of other killer apps are pretty obvious to imagine with development (e.g. customer service applications like IT helpdesks, Computer game dialogue where you can really influence interactions...)

>>__loam+(OP)
Ai advancements have my small but positive impacts on things I've done.

But my not so informed opinion is text as an interface is only a small feature of bigger useful products, not the main focus. Instead of learning sql, you can ask a regular question. It feels like inventing the mouse to use with computers.

>>Closi+63
I guess I'm wondering if LLMs as customer service agents are actually going to be good or if it's just going to be another layer of indirection I need to get through to talk to a human. Is the video game dialog actually going to be good or will it fall flat compared to hand crafted narrative. Do I actually like copilot butting in with suggestions when I'm trying to program something.

>>__loam+(OP)
A lot of startups in general are just wrappers over something. The reason for that is that people on average (not "an average person", it includes all of us) have many out-of-their-scope issues and aren't even aware of something generic that could help solving it. Dividing a common [al]mighty resource into hundreds of packaged solutions and marketing them separately is how people get hold of the unknown. They then can choose to migrate to a root tech/resource, or to stay where they are for various reasons.

>>Closi+63
I don't think midjourney can keep up with chatGPT with dalle as is. The experience creating an image is so much better with chatGPT4 now since you don't have to memorize commands

>>__loam+O6
LLMs will be good replacements for a portion of customer service queries (eg where’s my order, help me fix this common computer issue etc), and will probably be a bad replacement for other queries (eg complaint handling), but it doesn’t have to fix all for it to transform the sector and be a killer app.

Video game dialogue remains to be seen, but I already find ChatGPT based text adventures super fun! So I suspect there will be demand for both handcrafted static stories and AI dynamically-generated stories (ie they can be different things, one doesn’t have to replace the other, just like email didn’t immediately replace the post service).

I don’t know if you enjoy copilot, but for me it’s definitely supercharges my productivity.

>>__loam+O6
> I guess I'm wondering if LLMs as customer service agents are actually going to be good or if it's just going to be another layer of indirection I need to get through to talk to a human.

As always, the tech isn't the problem - the way business applies it is. Customer service automation isn't done to help you better - it's done to make it cheaper to make you go away without making too big of a fuss. Companies building and employing customer service systems will find ways to make even GPT-4 incapable of providing anything the customer would find remotely useful.