There are quite a lot of AI-sceptics in this thread. If you compare the situation to 10 years ago, isn’t it insane how far we’ve come since then?
Image generation, video generation, self-driving cars (Level 4 so the driver doesn’t need to pay attention at all times), capable text comprehension and generation. Whether it is used for translation, help with writing reports or coding. And to top it all off, we have open source models that are at least in a similar ballpark as the closed ones and those models can be run on consumer hardware.
Obviously AI is not a solved problem yet and there are lots of shortcomings (especially with LLMs and logic where they completely fail for even simple problems) but the progress is astonishing.
I think a big obstacle to meaningfully using AI is going to be public perception. Understanding the difference between CHAT-GPT and open source models means that people like us will probably continue to find ways of using AI as it continues to improve, but what I keep seeing is botched applications, where neither the consumers nor the investors who are pushing AI really understand what it is or what it’s useful for. It’s like trying to dig a grave with a fork - people are going to throw away the fork and say it’s useless, not realising that that’s not how it’s meant to be used.
I’m concerned about the way the hype behaves because I wouldn’t be surprised if people got so sick of hearing about AI at all, let alone broken AI nonsense, that it hastens the next AI winter. I worry that legitimate development may be held back by all the nonsense.
Fair point. I personally think that AI lives up to enough parts of the hype so that there won’t be another AI winter but who knows. Some will obviously get disillusioned but not enough.
I found this graph very clear
Well, natural language processing is placed in the trough of disillusionment and projected to stay there for years. ChatGPT was released in November 2022…
