Google “We have no moat, and neither does OpenAI”

Post by coffeebeqn » Thu, May 04, 2023, 11:12 PM UTC

hospitalJail wrote: post #102

tikkun wrote: post #81

The part of the post that resonates for me is that working with the open source community may allow a model to improve faster. And, whichever model improves faster, will win - if it can continue that pace of improvement. The author talks about Koala but notes that ChatGPT is better. GPT-4 is then significantly better than GPT-3.5. If you've used all the models and can afford to spend money, you'd be insane to not use…

>Midjourney is more popular (from what I'm seeing) than Stable Diffusion at the moment because it's better at the moment. Midjourney is closed-source. Midjourney is easier, its not better. The low barrier to entry has it popular, but it isnt as realistic, doesnt follow the prompt as well, and has almost no customization. SD is the holy grail of AI art, if you can afford a computer or server to run SD + have the abili…

Post by yieldcrv » Thu, May 04, 2023, 11:22 PM UTC

narrator wrote: post #396

dahwolf wrote: post #389

The current paradigm is that AI is a destination. A product you go to and interact with. That's not at all how the masses are going to interact with AI in the near future. It's going to be seamlessly integrated into every-day software. In Office/Google docs, at the operating system level (Android), in your graphics editor (Adobe), on major web platforms: search, image search, Youtube, the like. Since Google and other…

I think the problem with AI being everywhere and ubiquitous is that AI is the first technology in a very long time that requires non-trivial compute power. That compute power costs money. This is why you only get a limited number of messages every few hours from GPT4. It simply costs too much to be a ubiquitous technology. For example, the biggest LLama model only runs on an A100 that costs about $15,000 on ebay. The…

Post by heliophobicdude » Thu, May 04, 2023, 11:26 PM UTC

not2b wrote: post #417

kelipso wrote: post #397

Earlier quoted context omitted.

To be fair, the open source model has been what's been working for the last few decades. The concern with LLMs was that open source (and academia) couldn't do what the big companies are doing because they couldn't get access to enough computing resources. The article is arguing (and I guess open source ML groups are showing) you don't need those computing resources to pave the way. It's still an open question whether…

But none of the "open source" AI models are open source in the classic sense. They are free but they aren't the source code; they are closer to a freely distributable compiled binary where the compiler and the original input hasn't been released. A true open source AI model would need to specify the training data and the code to go from the training data to the model. Certainly it would be very expensive for someone…

Post by taneq » Thu, May 04, 2023, 11:28 PM UTC

TeMPOraL wrote: post #409

dahwolf wrote: post #389

The current paradigm is that AI is a destination. A product you go to and interact with. That's not at all how the masses are going to interact with AI in the near future. It's going to be seamlessly integrated into every-day software. In Office/Google docs, at the operating system level (Android), in your graphics editor (Adobe), on major web platforms: search, image search, Youtube, the like. Since Google and other…

Honestly, I can't see Google failing here. Like other tech giants, they're sitting on a ridiculously large war chest. Worst case, they can wait for the space to settle a bit and spend a few billion to buy the market leader. If AI really is an existential threat to their business prospects, spending their reserves on this is a no-brainer.

Post by [deleted] » Thu, May 04, 2023, 11:33 PM UTC

mattferderer wrote: post #451

irrational wrote: post #446

Earlier quoted context omitted.

It being everywhere worries me a lot. It outputs a lot of false information and the typical person doesn’t have the time or inclination to vet the output. Maybe this is a problem that will be solved. I’m not optimistic on that front.

Same can be said about the results that pop up on your favorite search engine or asking other people questions. If anything advances in AI & search tech will do a better job at providing citations that agree & disagree with the results given. But this can be a turtles all the way down problem.