Aren't Turing and von Neumann (surely they invented "computers" as much as anyone) counterexamples to your thesis?
No, not if you actually read into the history.
Turing published some conceptual math papers that would eventually get the field of computability and thus computer science started, but by no means did he invent the computer.
Computer evolution was already well under way when Turing published his paper on computability introducing Turing Machines in 1936.
The early British programmable digital computer, the Colossus, was developed by colleagues/contemporaries of Turing, but Turing was not involved, and at the time his abstract Turing Machine concept was not viewed as important:
It was thus not a fully general Turing-complete computer, even though Alan Turing worked at Bletchley Park. It was not then realized that Turing completeness was significant; most of the other pioneering modern computing machines were also not Turing complete (e.g. the Atanasoff–Berry Computer, the Bell Labs relay machines (by George Stibitz et al.), or the first designs of Konrad Zuse). The notion of a computer as a general purpose machine—that is, as more than a calculator devoted to solving difficult but specific problems—did not become prominent for several years.
Colossus was designed by the engineer Tommy Flowers.
The first Turing complete computer was the Z3, developed in germany by the engineer Konrad Zuse. Zuse is unlikely to have even heard of Turing, and the Z3 wasn't proven Turing Complete until many decades later.
Concerning Von Neumman's architecture:
This architecture is to this day the basis of modern computer design, unlike the earliest computers that were 'programmed' by altering the electronic circuitry. Although the single-memory, stored program architecture is commonly called von Neumann architecture as a result of von Neumann's paper, the architecture's description was based on the work of J. Presper Eckert and John William Mauchly, inventors of the ENIAC at the University of Pennsylvania.[51]
Eckert was an electrical engineer, Mauchly a physicist.
Turing and von Neumman both made lasting contributions in the world of ideas, but they did not invent computers, not even close.
Series: How to Purchase AI Risk Reduction
A key part of SI's strategy for AI risk reduction is to build toward hosting a Friendly AI development team at the Singularity Institute.
I don't take it to be obvious that an SI-hosted FAI team is the correct path toward the endgame of humanity "winning." That is a matter for much strategic research and debate.
Either way, I think that building toward an FAI team is good for AI risk reduction, even if we decide (later) that an SI-hosted FAI team is not the best thing to do. Why is this so?
Building toward an SI-hosted FAI team means:
Both (1) and (2) are useful for AI risk reduction even if an SI-hosted FAI team turns out not to be the best strategy.
This is because: Achieving part (1) would make SI more effective at whatever it is doing to reduce AI risk, and achieving part (2) would bring great human resources to the cause of AI risk reduction, which will be useful to a wide range of purposes (FAI team or otherwise).
So, how do we accomplish both these things?
Growing SI into a better organization
Like many (most?) non-profits with less than $1m/yr in funding, SI has had difficulty attracting the top-level executive talent often required to build a highly efficient and effective organization. Luckily, we have made rapid progress on this front in the past 9 months. For example we now have (1) a comprehensive donor database, (2) a strategic plan, (3) a team of remote contractors used to more efficiently complete large and varied projects requiring many different skillsets, (4) an increasingly "best practices" implementation of central management, (5) an office we actually use to work together on projects, and many other improvements.
What else can SI do to become a tighter, larger, and more effective organization?
They key point, of course, is that all these things cost money. They may be "boring," but they are incredibly important.
Attracting and creating superhero mathematicians
The kind of people we'd need for an FAI team are:
There are other criteria, too, but those are some of the biggest.
We can attract some of the people meeting these criteria by using the methods described in Reaching young math/compsci talent. The trouble is that the number of people on Earth who qualify may be very close to 0 (especially given the "committed to AI risk reduction" criterion).
Thus, we'll need to create some superhero mathematicians.
Math ability seems to be even more "fixed" than the other criteria, so a (very rough) strategy for creating superhero mathematicians might look like this:
All these steps, too, cost money.