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AI continues to advance (there is mich more beneath the surface if the endless ChatGPT nonsense), the fediverse is gaining more traction, biotech continues to a

AI continues to advance (there is mich more beneath the surface if the endless ChatGPT nonsense), the fediverse is gaining more traction, biotech continues to advance. There continues to be immense opportunity. But you have to skill up and look past the tech and business models of 15 years ago.

piva00 4y ago
These are very specialised industries though, requiring some deeper and more formal knowledge than when a new platform appears and there's a sudden hunger for experiences on that platform. The web and later smartphones have been the real startup breeders of the past 30 years. Biotech and AI require quite a bit of academic knowledge to innovate on and aren't on the same potential of big platforms like web/phones.
- yunwal 4y ago
  Using pre-trained AI models only requires surface-level knowledge about AI. You need to know its limitations, but you don't need to know tensorflow or how transformer networks work to be able to use AI for consumer applications.
- brundolf 4y ago
  Disagree about AI. I think it's going to upend industry after industry, and the gold-rush is not going to be in making new advancements, but applying the startling new capabilities of the last year or so to more and more domains In this way I think it's very similar to the web and then mobile booms
- anonylizard 4y ago
  Not at all, only passion is needed. Look at websites like CivitAI. Its literally just a front-end + a S3 bucket backend that allows people to share and download large stable-diffusion models (100MB-8GB). The website founder was not an AI guy, he was a web-dev background and former founder. The website is already a huge success, forcing the incumbent (Huggingface, backed by Amazon) to try and hurriedly copy its features.
claytongulick 4y ago
I don't think I agree with this right now. The tech and business mindset of 15 years ago is remarkably similar to that of 15 years before that, and 15 years before that, even. Businesses need technical functionality that enables the core mission of the company, and they need accurate operational insights. This means "boring" technology. It means reliable systems and processes. It means accurate reports who's methodology can be understood clearly. I prefer to solve real problems with boring technology, than to solve imaginary problems with exciting technology.

piva00 4y ago

These are very specialised industries though, requiring some deeper and more formal knowledge than when a new platform appears and there's a sudden hunger for experiences on that platform. The web and later smartphones have been the real startup breeders of the past 30 years. Biotech and AI require quite a bit of academic knowledge to innovate on and aren't on the same potential of big platforms like web/phones.

yunwal 4y ago
Using pre-trained AI models only requires surface-level knowledge about AI. You need to know its limitations, but you don't need to know tensorflow or how transformer networks work to be able to use AI for consumer applications.
brundolf 4y ago
Disagree about AI. I think it's going to upend industry after industry, and the gold-rush is not going to be in making new advancements, but applying the startling new capabilities of the last year or so to more and more domains In this way I think it's very similar to the web and then mobile booms
anonylizard 4y ago
Not at all, only passion is needed. Look at websites like CivitAI. Its literally just a front-end + a S3 bucket backend that allows people to share and download large stable-diffusion models (100MB-8GB). The website founder was not an AI guy, he was a web-dev background and former founder. The website is already a huge success, forcing the incumbent (Huggingface, backed by Amazon) to try and hurriedly copy its features.

claytongulick 4y ago

I don't think I agree with this right now. The tech and business mindset of 15 years ago is remarkably similar to that of 15 years before that, and 15 years before that, even. Businesses need technical functionality that enables the core mission of the company, and they need accurate operational insights. This means "boring" technology. It means reliable systems and processes. It means accurate reports who's methodology can be understood clearly. I prefer to solve real problems with boring technology, than to solve imaginary problems with exciting technology.