In his latest memoir, “Mild Technique” released last Tuesday, Sam Altman, CEO of Openai, has offered his new view of the future of artificial ielligence and its impact on human experience in the next fifteen years.
This note once again preses an example of Altman’s special futurism; In the same tone that he has previously found in his writings, he promises to be the proximity of artificial ielligence (Agi), but at the same time diminishes and describes it as gradual. In this note, as always, Altman depicts a fundameal change in concepts such as work, energy, and social structure, and has talked about the path that Openai has taken to achieve.
Part of the note states that by year 3, “we will probably see artificial ielligence systems that are able to discover new insights.” Although this seems general, Openai officials have repeatedly poied out in rece mohs that their future focus is the developme of models that can provide innovative ideas and insights on the world.
During the iroduction of the new “O3” and “O4-Mini” models last April, Greg Brockman, a founder and chairman of Openai’s board of directors, announced that these models were first used by scieists as a tool to produce new ideas. These developmes are a sign that Openai will probably increase its efforts to develop a productive artificial ielligence that are capable of discovering and analyzing scieific insights.
Openai, of course, is not alone on this path. Google in May of a project called Alphaevolve Unveiled that he claims he could provide new approaches to solving complex mathematical problems. Also Startup FUTUREHOUSE With the support of former Google CEO Eric Schmidt, it has claimed that its operating tool has succeeded in a real scieific discovery. Company Ahropic This moh, it launched a new initiative to support scieific research based on artificial ielligence.
If these projects are successful, they can transform the path of transformation in industries such as pharmacy, material science and basic science and automate the process of scieific research.
This is not the first time that Altman has been drawing a possible future path of Openai with blog notes. In January of this year, he iroduced the year 2 as the “Year of Factors”; A phrase that came to reality with the iroduction of the company’s three artificial ielligence factors – Operator, Deep Research and Codex.
However, achieving a system that can really create a “new insight” is a challenge far greater than just building an artificial ielligence factor. Some of the promine figures in the field of science and machine learning are skeptical about the true ability of artificial ielligence to create autheic hypotheses. Hugging Face, Thomas Wolf, had argued in an article that curre systems could not ask major and fundameal questions; Questions that are the cornerstone of scieific progress.
Ke Stanley, a former Openai researcher, also believes that curre models lack the ability to create new hypotheses. He is now a new startup leadership called Lila Sciences It is responsible for attracting $ 5 million to establish a laboratory based on artificial ielligence to develop models with focusing on scieific hypothesis. From Stanley’s poi of view, this is esseially a matter of creativity; That is, creating a sense of charm and autheicity in machine learning models.
While it is not yet clear that Openai will really develop a model that can produce real scieific insights, the Altman note can be seen as a roadmap that shows where the company is taking.
