Sam Altman thinks AI will have ‘novel insights’ next year
Published in a new essay called Tuesday ‘The soft singularity,“OpenAi CEO Sam Altman shared his latest vision on how AI will change human experience in the next 15 years.
The essay is a classic example of Altman’s futurism: the promise of Agi Verppen – and claim that his company is fairly close to the performance – while at the same time trying to play the arrival of it. The OpenAI CEO often publishes these earthly essays and neatly explains a future in which AGI disrupts our modern conception of work, energy and social contract. But often Altman’s essays contain hints about what OpenAi is working on.
At a certain moment in the essay, Altman claimed that the world will probably see the arrival of the arrival of the arrival of the arrival next year [AI] Systems that can find new insights. “Although this is somewhat vague, OpenAi leaders recently indicated that the company is aimed at getting AI models to come up with new, interesting ideas around the world.
Upon announcement OpenAi’s O3 and O4-Mini Ai Reasoning models In April, co-founder and President Greg Brockman said these were the first models that scientists had used to generate new, useful ideas.
Altman’s Blogpost suggests that in the coming year, OpenAi can solve its efforts to develop AI that can generate new insights. OpenAI would certainly not be the only company that is aimed at this effort – various competitors from OpenAi have shifted their focus to training AI models that can help scientists think of new hypotheses, and therefore new discoveries about the world.
In May, Google has a Paper on AlphaevevveAn AI coding agent who claims to have generated new approaches of complex math problems. Another startup supported by former Google CEO Eric Schmidt, FutureHouse, claims that his AI agent has been tool able to make a real scientific discovery. In May Anthropic launched a program to support scientific research.
If successful, these companies could automate an important part of the scientific process and possibly break through in massive industries such as drug discovery, material science and other areas with science in the core.
This would not be the first time that Altman has tipped his hat about OpenAi’s plans in a blog. In January Altman wrote Another blog post Sugguing that 2025 would be the year of agents. His company then dropped his first three AI agents: Operator, Deep Research and Codex.
But getting AI systems to generate new insights can be more difficult than they make agent. The broader scientific community remains somewhat skeptical about the ability of AI to generate truly original insights.
Earlier this year, Thomas Wolf, Chief Science Officer of Face, wrote an essay and claimed that modern AI systems cannot ask great questions, which is the key to a large scientific breakthrough. Kenneth Stanley, a former OpenAi Research Lead, also told WAN earlier that today’s AI models cannot generate new hypotheses.
Stanley is now building a team at Lila Sciences, a startup that has collected $ 200 million to create an AI-driven laboratory, specifically aimed at getting AI models to come up with better hypotheses. This is a difficult problem, according to Stanley, because it means that AI models give a feeling for what is creative and interesting.
Whether OpenAi really makes an AI model that is able to produce new insights. Yet Altman’s essay can be something known – an example of where OpenAi is probably going.
