- The first users are in a much better position to win: “Just do it,” says Sam Altman
- Today, AI is an intern, but it will soon be an experienced worker capable of addressing complex problems
- The next step is AGI, but does that mean accelerated scientific discoveries, personal improvement or something else?
The Operai CEO, Sam Altman, has offered his honest ideas about the scenario of evolving, comparing previous, current and future trends to point to companies in the right direction.
“I think, just do it,” Altman said in an interview with the Snowflake CEO, Sridhar Ramasswamy, in the company’s summit event of the company, highlighting that the companies that wait for the next great risk of AI are left behind.
“When things change rapidly, companies that have the fastest adoption speed … They win,” he added.
AGI’s definition is changing
When reflecting on how his guide has changed during the past year, Altman pointed out an important change in the abilities of the only period of time.
“We reached a real turning point for the use of these models,” he said, but “an interesting question is what we say differently next year.”
Looking towards the future, Altman said that he imagines that companies adopt AI not only to automate routine processes but to address greater challenges.
In 2026, he predicts that companies “will throw a ton of computation” to the “very important problem[s]”And” models can find out things that teams of people on their own cannot do. “
Altman compared today’s AI with “a intern that can work for a couple of hours”, but provides for a near future where AI resembles an experienced or high -ranking worker. The founder of Openai predicts that “in some cases limited [and] Somehow small, “we could see agents capable of discovering new knowledge very soon, and use cases will only increase with more developments.
When asked about artificial general intelligence (AGI), Altman explained that humans are very good how to adjust their expectations, challenging the static definitions of the term. Raising five years, he said that most people could have considered that today’s Chatgpt is AGI, but our expectations have promoted today.
“What matters is the rate of progress that is seen year after year in the last five years should continue for at least the next five, probably far beyond that,” he added, suggesting that we are not close to the top.
Its preferred purpose for AGI would be to increase significantly, perhaps the “quadrup” scientific discovery, but also recognizes that others see AGI as a system capable of overcoming self -evaluation, potentially even consciousness.
Concluding, Altman was asked a hypothetical question: what would you do if I had 1,000 times more calculation?
“I would ask you to work super hard in AI’s research, discover how to build much better models and then ask that model much better what we should do with all the calculation,” he said.
Offering a look at the not too distant future of Operai, Altman revealed that “the models during the next year, two years, will be quite impressive … there is a lot of progress to come.”
