I think he could be right about generative AI, but that’s not a serious problem given we’re moving beyond generative AI and into virtual intelligence territory.

Generative ai right now requires someone (or something) to initiate it with a prompt, but according to some of the latest research papers in OpenAI as well as the drama that happened recently surrounding the leadership, it appears that we’re moving beyond the ‘generative’ phase into the ‘virtual intelligence’ phase.

It’s not going to be ‘smart’ it will be knowledgeable (and accurate, hopefully). That is to say VI’s will be useful as data retrieval or organization but not necessarily data creation (although IIRC the way to get around this would be to develop a VI that specifically only works on creating ideas but we’d be moving into AGI territory and I don’t expect we’ll have serious contenders for AGI for another decade at least).

The rumours abound surrounding the OpenAI drama, the key one being the potential for accidentally developing AGI internally (I doubt this heavily). The more likely reason is that the board of directors had a financial stake in Nvidia and when they found out altman was working on chips specifically for AI that were faster, lower cost, and lower power consumption than current nvidia trash (by literally tens of thousands of dollars), they fired him to try and force the company onto their preferred track (and profit in the process, which IMO, kind of ironic that a non-profit board of directors has so many ‘closed door’ discussions with nvidia staff…)

This is just the thoughts of a comp-sci student with a focus on artificial intelligence systems.

If interested in further reading:

https://www.ibm.com/blog/understanding-the-different-types-of-artificial-intelligence/

https://digitalreality.ieee.org/publications/virtual-intelligence-vs-artificial-intelligence

https://www.psychologytoday.com/us/blog/what-we-really-want-in-a-leader/202204/why-you-need-to-focus-on-virtual-intelligence

Keep in mind that because it’s still early days in this field that a lot of terms haven’t reached an established consensus across academia yet, so you’ll notice variations in how each organization explains what “x” type of intelligence is.