I wouldn't quite go that far, but the longer I am building these models into systems, I think the good use case for LLMs/Generative AI can be categorized into a few types of systems.
1. Data collection - Obvious, creating a voice/text interface into an existing system where the problem and requirements are well known. Eg, booking a restaurant. It needs a time, place, people. Collecting that from voice/text can be convenient in many situations. Same with different types of models collecting data from video/images/etc.
2. Providing options - When the desired output is unknown, but a human can describe the problem. Eg, coding, art, many "I need an X that can Y for problem Z". ChatGPT does a great job of this and I think most of the value of generative AI is here currently.
Most of the hype is around how far can we take the capabilities of solving this 2nd category to produce the third.
3. Agents - There are examples of solutions showing this potential but the 'killer app' I don't think has been demonstrated, at least well enough. AutoGPT, BabyAGI, etc are interesting, but in my experience don't yet perform nearly well enough. They fail far too often for any trust to be created. This doesn't mean GPT4 native plugins won't get there, they could and that will create a large amount of value in this category (I don't have access to Plugins). This is also where a lot of "selling the dream" is happening. It seems plausible we will get there, but still not clear how these will be accepted and used in the real world, by average users.
One big area of value IMO for Agents is accessibility. People with physical disabilities, but still have the ability to speak I think will provide massive quality of life improvements through being able to interact more easily with more systems.
Very interesting times, the speed of change has seemed amazing, and that for me is the part that creates the most unknown, and is hard to ignore the hype when plotting the rate of improvement and the possibility of Agents becoming an accepted tool in wider society.
The value provided by Crypto/VR is way more limited, and the accessibility of the tech ranges from bad to worse. VR has a lot of utility, but due to the headset requirement, it is disconnected from a lot of the real world. Lots use cases for specific problems, but less widely accessible as generative AI by a long way.
Crypto IMO should be ignored, at best it assists with the financialization of everything which doesn't provide value to a wide portion of society, it provides a means of value extraction.
1. Data collection - Obvious, creating a voice/text interface into an existing system where the problem and requirements are well known. Eg, booking a restaurant. It needs a time, place, people. Collecting that from voice/text can be convenient in many situations. Same with different types of models collecting data from video/images/etc.
2. Providing options - When the desired output is unknown, but a human can describe the problem. Eg, coding, art, many "I need an X that can Y for problem Z". ChatGPT does a great job of this and I think most of the value of generative AI is here currently.
Most of the hype is around how far can we take the capabilities of solving this 2nd category to produce the third.
3. Agents - There are examples of solutions showing this potential but the 'killer app' I don't think has been demonstrated, at least well enough. AutoGPT, BabyAGI, etc are interesting, but in my experience don't yet perform nearly well enough. They fail far too often for any trust to be created. This doesn't mean GPT4 native plugins won't get there, they could and that will create a large amount of value in this category (I don't have access to Plugins). This is also where a lot of "selling the dream" is happening. It seems plausible we will get there, but still not clear how these will be accepted and used in the real world, by average users.
One big area of value IMO for Agents is accessibility. People with physical disabilities, but still have the ability to speak I think will provide massive quality of life improvements through being able to interact more easily with more systems.
Very interesting times, the speed of change has seemed amazing, and that for me is the part that creates the most unknown, and is hard to ignore the hype when plotting the rate of improvement and the possibility of Agents becoming an accepted tool in wider society.
The value provided by Crypto/VR is way more limited, and the accessibility of the tech ranges from bad to worse. VR has a lot of utility, but due to the headset requirement, it is disconnected from a lot of the real world. Lots use cases for specific problems, but less widely accessible as generative AI by a long way.
Crypto IMO should be ignored, at best it assists with the financialization of everything which doesn't provide value to a wide portion of society, it provides a means of value extraction.