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Sam Altman Invents Bizarre New Unit of Time for Measuring When His Promises Will Come True

|Author: Viacheslav Vasipenok|3 min read| 1796
Sam Altman Invents Bizarre New Unit of Time for Measuring When His Promises Will Come True

Hello!

In a slightly manic new post, OpenAI CEO and cofounder Sam Altman shared an expansive vision for the future of artificial intelligence — and introduced an unconventional unit of measurement to frame when his predictions might materialize.

The Intelligence Age

Sam Altman Invents Bizarre New Unit of Time for Measuring When His Promises Will Come TrueAltman’s blog post, titled “The Intelligence Age” and published on his personal website, began with a tone familiar to tech-industry commentary.

“In the next couple of decades,” he wrote, “we will be able to do things that would have seemed like magic to our grandparents.”

As the post progressed, the claims grew bolder. Altman suggested that this “magic” could encompass fixing the climate, establishing a space colony, and uncovering all of physics — feats he believes will eventually become routine.

A New Unit of Time

To describe the timeline, Altman introduced a fresh metric: “a few thousand days,” an intentionally vague phrase that equates to an indeterminate number of years. Even then, he added a hedge.

“It is possible that we will have superintelligence in a few thousand days (!); it may take longer, but I’m confident we’ll get there,” he wrote.

Timing Is Everything

Sam Altman Invents Bizarre New Unit of Time for Measuring When His Promises Will Come TrueIf “a few” is interpreted in the common range of two to eight (typically two, three, or four), the window spans 2,000 to 8,000 days — roughly five to 21 years. In 2026 terms, that same span would stretch to 23 years, recalling the 2003 invasion of Iraq by George W. Bush.

The 39-year-old computer scientist argued that humanity stands at “the doorstep of the next leap in prosperity” because “deep learning worked.”

“That’s really it; humanity discovered an algorithm that could really, truly learn any distribution of data,” he continued.

Altman claimed that, with “a shocking degree of precision,” additional compute and data improve the models’ ability to help solve hard problems — though critics note that today’s large language models still frequently produce inaccurate or fabricated information.

Sam Altman Invents Bizarre New Unit of Time for Measuring When His Promises Will Come True“I find that no matter how much time I spend thinking about this,” Altman concluded, “I can never really internalize how consequential it is.”

Is the OpenAI CEO simply optimistic, or has the vision grown too detached from current technical realities? Observers may have clearer answers within the next “few thousand days.”

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