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Change w/ Jim Keller

Tenstorrent · 61.1K views · 2023-01-11 · 56:54

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Overview

Jim Keller, CTO of Tenstorrent, gives a keynote at Stanford's System X conference on change, understanding and the future of computing. He touches on Moore's Law, how far transistors are from physical limits, and ideas like DNA origami.

On Hacker News

HN commenters cite it as a thoughtful talk from a legendary chip architect, both for the s-curves view of progress and for concrete technical details on semiconductor scaling.

Recommended by 1 HN people across 1 months · HN mentions 2023–2023

Topics

Computer architecture & CPUsTech pioneers & interviewsSemiconductors & chip manufacturing
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jim kellermoore's lawsemiconductorss-curvesai hardware

What people said

sitkack · 2023-02 · Recommendation

If you are fan of the stack of s-curves, you will probably like this talk by Jim Keller. Jim Keller on Change [VIDEO]

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Voultapher · 2023-09 · Reference

Transistor measurements in nanometers has been more or less meaningless since the introduction of FinFETs over a decade ago, and IIRC it was TSMC that started the let's play funny business with nanometers affair. Today they are marketing terms and the different fabs try to align them somewhat, but have inherent conflicts of interest when it comes to overselling their tech. For example a TSMC N5 transistor is roughly 100x100x100nm in size as per [VIDEO] .

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ly3xqhl8g9 · 2023-07 · Reference

We are ridiculously far from physical limits in our current artificial computers (both theoretical [1], and practical [2]). For more technical details see Jim Keller: [3] [4] [5]. [1] [LINK] [2] The ~12 watts computer inside each living human adult skull (and perhaps each eukaryote cell [6]) is still the state-of-the-art, for quite some time. [3] 2021, Jim Keller: The Secret to Moore's Law , [LINK] [4] 2019, Jim Keller: Moore’s Law is Not Dead , [LINK] [5] 2023, Change w/ Jim Keller , [VIDEO] [6] Our computers aren't yet able of polycomputation, where the computation topology, data, and functions depend on the observer, instead of computation in a passive implementation, once done forever set in s̶t̶o̶n̶e̶ silicon, 2023, Michael Levin, Agency, Attractors, & Observer-Dependent Computation in Biology & Beyond , [LINK]

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Sources

Video by Tenstorrent, played through YouTube.

Data and selection notes

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