All of the points above are valid, and here are two more factors that will also accelerate the adoption of generative AI:
1/ It is not easy for humans (or even machines for that matter) to tell whether a media artifact (text, image, audio, video, computer code, etc.) was generated by AI. This in turn will make it very challenging to effectively enforce any generative AI ban. If one cannot recognize the "enemies", how can one stop them from entering the gate?
2/ Previous information technologies are mostly advances in how information is stored and/or transmitted: from the telegraph and telephone to the Internet and the cloud. On the other hand, generative AI is a tool for creating information, and stopping the spread of information is much harder than banning its medium. You can ask your clients or opposing counsel to send a fax because your firm doesn't want anything to do with the cloud, but there's nothing you can do if the content of that fax didn't come out of a human's brain. History has shown that most attempts at preventing the spread of information and ideas are ineffective: one can ban or even destroy the medium (burn books, censor the Internet, etc.); God forbid, one can even "interfere" with the messenger. But sooner or later, information and ideas will still spread through alternative messengers and media.
These unique characteristics of generative AI completely set it apart from previous breakthroughs. As generative AI becomes more sophisticated over time, it will only become increasingly difficult for late adopters to slow its spread.
1) "They are accountable for business results in a highly competitive environment.." Absolutely. This is really what it is all about. Since Generative AI has shown its power in many different ways, firms have seen that they need to start investing in it and using it or risk being seen as not as "up to date" as other firms.
2) We have a long ways to go when it comes unlocking AI's full potential. It's early days and experimentation is the name of the game right now. Test, learn, repeat.
3) AI, like any technology created by imperfect humans, is imperfect. It can learn and get better faster than a human though, right the right data, the right amount of time, and the right focus.
All of the points above are valid, and here are two more factors that will also accelerate the adoption of generative AI:
1/ It is not easy for humans (or even machines for that matter) to tell whether a media artifact (text, image, audio, video, computer code, etc.) was generated by AI. This in turn will make it very challenging to effectively enforce any generative AI ban. If one cannot recognize the "enemies", how can one stop them from entering the gate?
2/ Previous information technologies are mostly advances in how information is stored and/or transmitted: from the telegraph and telephone to the Internet and the cloud. On the other hand, generative AI is a tool for creating information, and stopping the spread of information is much harder than banning its medium. You can ask your clients or opposing counsel to send a fax because your firm doesn't want anything to do with the cloud, but there's nothing you can do if the content of that fax didn't come out of a human's brain. History has shown that most attempts at preventing the spread of information and ideas are ineffective: one can ban or even destroy the medium (burn books, censor the Internet, etc.); God forbid, one can even "interfere" with the messenger. But sooner or later, information and ideas will still spread through alternative messengers and media.
These unique characteristics of generative AI completely set it apart from previous breakthroughs. As generative AI becomes more sophisticated over time, it will only become increasingly difficult for late adopters to slow its spread.
Great comment, and not points I had considered. But they both sound correct to me.
A few comments.
1) "They are accountable for business results in a highly competitive environment.." Absolutely. This is really what it is all about. Since Generative AI has shown its power in many different ways, firms have seen that they need to start investing in it and using it or risk being seen as not as "up to date" as other firms.
2) We have a long ways to go when it comes unlocking AI's full potential. It's early days and experimentation is the name of the game right now. Test, learn, repeat.
3) AI, like any technology created by imperfect humans, is imperfect. It can learn and get better faster than a human though, right the right data, the right amount of time, and the right focus.
Great insights and I completely agree. Not surprised you’re ahead of the curve here Colin.
Thank you my friend.