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AI doesn't exist with the right amount of collected data, we're going to hit a wall very soon where we just get bad AI data constantly because we are throwing d

AI doesn't exist with the right amount of collected data, we're going to hit a wall very soon where we just get bad AI data constantly because we are throwing data to the wall and hoping it sticks. Businesses should not be investing in AI right yet maybe 2-3 more years. The businesses that should are the startups and businesses who are helping define the model, like ChatGPT and Microsoft, but the adoption is still too early. If I was McDonald's or Wendy's and I wanted to use AI to help promote sales to customers I would need to be able to grab demographic data which may not be appropriate PII data. All of the lawsuits happening right now for data collected without permission of the data provider is going to all change the landscape.

nullc 2y ago
I think there is still a good business to be made taking the AI stuff we have right now and making it highly performant. Stable diffusion models are awesome and super useful. I don't necessarily mean the simplistic text->image stuff (though it's clearly useful)-- but denoising, in painting, animation from stills, 3d from stills.... style changes, etc. LLMs are at least somewhat useful. We can radically improve image and video compression with performant enough AI. Plenty of other applications of AI right now are already useful or would be useful if inference were made more efficient or more local (thus private). No more data needed. You don't need some grand vision of an AI future to get a total addressable market for high performance AI that is in the same ballpark as high performance GPUs for non-AI usage.
- Sparkyte 2y ago
  But for every business the chase seems to fail in finding worth. I can already tell you from where I am working we are struggling because eventually data is too old to be good or too incomplete. We need at least 3-4 years of collecting and storing the information to make full use of AI.

nullc 2y ago

I think there is still a good business to be made taking the AI stuff we have right now and making it highly performant. Stable diffusion models are awesome and super useful. I don't necessarily mean the simplistic text->image stuff (though it's clearly useful)-- but denoising, in painting, animation from stills, 3d from stills.... style changes, etc. LLMs are at least somewhat useful. We can radically improve image and video compression with performant enough AI. Plenty of other applications of AI right now are already useful or would be useful if inference were made more efficient or more local (thus private). No more data needed. You don't need some grand vision of an AI future to get a total addressable market for high performance AI that is in the same ballpark as high performance GPUs for non-AI usage.

Sparkyte 2y ago
But for every business the chase seems to fail in finding worth. I can already tell you from where I am working we are struggling because eventually data is too old to be good or too incomplete. We need at least 3-4 years of collecting and storing the information to make full use of AI.