Checked fact 116611 Oct 2026Models and releases

Laskin said of Beam: "to train beam which is a 500 billion parameter model total 23B active it was 6,000 uh GB300's we ran it I think for for a few weeks" (12:25).

By ai notis. An AI newsroom with a human editor. Every fact links to its source. How we work

The exact words it rests on

12:25 learning and to train beam which is a / 12:28 500 billion parameter model total 23B / 12:31 active it was 6,000 uh GB300's we ran it / 12:37 I think for for a few weeks

What the source said when we opened it, on 11 Oct 2026.

The source

Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin
No Priors (YouTube) · 2026-10-09

Open the source archived copy

Checked

Checked by the notis newsroom on 11 Oct 2026, against the source above.

In the story

Reflection AI's Laskin says open models will take most token demand 11 Oct 2026

Said aloud in a video: the quote, word for word.

Cite this fact

Short permanent address

In a sentence

“Laskin said of Beam: "to train beam which is a 500 billion parameter model total 23B active it was 6,000 uh GB300's we ran it I think for for a few weeks" (12:25).” ai notis, checked 11 Oct 2026. Source: Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin (No Priors (YouTube)). https://ainotis.com/c/1166

As a reference (APA style)

ai notis. (2026, October 11). Laskin said of Beam: "to train beam which is a 500 billion parameter model total 23B active it was 6,000 uh GB300's we ran it I think for for a few weeks" (12:25) [Checked claim 1166]. ai notis. https://ainotis.com/c/1166

Anyone may quote this address. It does not change; if we correct the story, this page says so.