We have drawn some striking and thought-provoking sentences from different sources to stimulate you about the recent strides of generative AI.
*AGI — artificial general intelligence is an autonomous system that surpasses human capabilities in most tasks.
ChatGPT need humans, though its creators obviate this need.
It is an astonishing paradox.
*The pantheon of global greats who have shaped humanity include Bill Gates, Steve Jobs, Elon Musk and Sergey Bin and Larry Page. Sam Altman could also be included in this pantheon. Of course, he has greater responsibility, as he is both Pope and reformer. It is difficult to decide where Pope and reformer begin and end. The roles often change depending on the context, countries and eco-systems.
*User safety, user privacy and AGI’s capabilities all need to move forward together.
*Big Tech and Governments are adversarial. For the first time, some one like San Altman says, ‘don’t, leave us alone. Please regulate us.’ A collective action with myriad political and economic complexities is unlikely to happen.
*Perhaps, there could be a beginning if there is an agreement over a universal ‘Labelling Framework.’ This will distinguish machine generated content from human generated content.
Just as we label our foods and medicines, we could as well label AI-generated content too.
*What about the accountability of the firms who build on top of AGI?
*There should be agreement on basic set of metrics that can be reported and regulated, without waiting for a global AI Act or universal agreement, which can never happen.
*AGI materialises in a decade or two.
Questions: Sharing of AGI profits. Sharing of AGI access. Sharing of AGI benefits. Structure and governance of the company. Allocation of governance across society.
*No-profit startups. However, there cannot be charity for ever. Capped profits is a flawed concept. Start as a startup and convert it into C-Corp when it is on the cusp of being cash flow positive.
*ChatGPT and governments are caught in a mating dance. The governments want to control for the lowest common denominator. There is lobbying against application programming interface (API-led AI) economy.
Open source models will commoditize free options such as Mosaic becoming cheaper and as capable as ChatGPT which has its GPU limitations.
*OpenAI’s jukebox can generate music samples while Stable Diffusion and Midjourney can churn out illustrations, probably at rates cheaper and faster than human musicians and artists.
*ChatGPT aquired 100 million active users in January 2023, two months after its introduction towards the end of November 2022. It is unprecedented.
*Generative AI could displace jobs at unparalleled scale.
*As AI depends on data, it would increase the users’ risk to data exposure. The technology can be weaponised.
*May 30, 2023. A group of 350 AI executives and experts signed a statement and published it warning of the risk of extinction from AI. They said mitigating it ‘should be a global priority.’
*Open letter by the Future of Life Institute in March 2023. Requested a moratorium on training powerful AI systems. It garnered 1000 + signatures.
*Pragmatism suggests that the balance could be tilted in favour of innovation and growth without being naive about AI’s potential pitfalls.