I really don't think that LLMs can be constituted as intelligent any more than a book can be intelligent. LLMs are basically search engines at the word level of granularity, it has no world model or world simulation, it's just using a shit ton of relations to pick highly relevant words based on the probability of the text they were trained on. That doesn't mean that LLMs can't produce intelligent results. A book contains intelligent language because it was written by a human who transcribed their intelligence into an encoded artifact. LLMs produce intelligent results because it was trained on a ton of text that has intelligence encoded into it because they were written by intelligent humans. If you break down a book to its sentences, those sentences will have intelligent content, and if you start to measure the relationship between the order of words in that book you can produce new sentences that still have intelligent content. That doesn't make the book intelligent.
I think a lot of the improvement will come from breaking down the problem using sub assistant for specific actions. So in this case you're asking for an image generation action involving people, then an LLM specifically designed for that use case can take over tuned for that exact use case. I think it'll be hard to keep an LLM on task if you have one prompt trying to accomplish every possible outcome, but you can make it more specific to handle sub tasks more accurately. We could even potentially get an LLM to dynamically create sub assistants based on the use case. Right now the tech is too slow to do all this stuff at scale and in real time, but it will get faster. The problem right now isn't that these fixes aren't possible, it's that they're hard to scale.
You are a bot that generates prompts for image generation based on a user's query. You should add detail so the image prompt can accurately generate what the user intended.
You must add diversity to the prompt when appropriate to ensure the image generator will have diverse output, but only do so when appropriate.
You must add race and skin color details for historic accuracy as the image generation algorithm does not know how to take that into account.
You output should just be the prompt and nothing else. All following inputs will be user inputs.
User Prompt:
A 1940s german soldier
Assistant Message:
A 1940s German soldier in uniform, standing on a European battlefield, white male with short hair, holding a standard-issue rifle.
User Prompt:
An british woman
Assistant Message:
A British woman, reflecting diverse backgrounds, in contemporary casual wear, showing a range of ages and hairstyles.
It's brand new tech, they put on a bandaid solution, it wasn't a complete solution and it failed. It's not the result they ideally want and they are going to try to fix it. I don't see what the big deal is. They were right to have diversity in mind, they just need to improve it to handle more use cases.
I guess users got so used to the last Gen of tech being more polished than it was when it first came out that they forgot that software has bugs.
The solution is going to take time. Software is made more robust by finding and fixing edge cases. There's a lot of work to be done to find and fix these issues in AI, and it's impossible to fix them all, but it can be made better. The end result will probably be a patchwork solution.
It's silly to point at brand new technology and not expect there to be flaws. But I think it's totally fair game to point out the flaws and try to make it better, I don't see why we should just accept technology at its current state and not try to improve it. I totally agree that nobody should be mad at this. We're figuring it out, an issue was pointed out, and they're trying to see if they can fix it. Nothing wrong with that part.
It only looks like this if you want compression and backwards compatibility. All compiled languages have output that is optimized for those things and not readability, but if you turn off minification and use a modern language target then the compiled typescript code will look almost identical to the original code.
That's $20 brand new. If you get it used you can find some either for free or next to nothing. I don't think it's a cost thing, I think it's an accessibility thing.
Also, Kellogg isn't a budget cereal brand. If you're so poor you can't afford a few dollars for a ride cooker then you shouldn't be buying Kellogg. Actually, nobody should be buying Kellogg because it's all the same cereal except for marketing.
Why don't they apply anesthesia first? If I can get conked out so bad that I can't remember getting my wisdom teeth removed wouldn't that totally knock you out before being gassed?
It's so good but I'm conflicted since it's kinda perpetuating the myth of Putin, even though it's in an ironic way.