FinalSpark - but honey, can it play chess?

Discussion of anything and everything relating to chess playing software and machines.

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smatovic
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Full name: Srdja Matovic

FinalSpark - but honey, can it play chess?

Post by smatovic »

World's First Bioprocessor Uses 16 Human Brain Organoids, Consumes Less Power
https://science.slashdot.org/story/24/0 ... less-power
"A Swiss biocomputing startup has launched an online platform that provides remote access to 16 human brain organoids," reports Tom's Hardware: FinalSpark claims its Neuroplatform is the world's first online platform delivering access to biological neurons in vitro. Moreover, bioprocessors like this "consume a million times less power than traditional digital processors," the company says.
[...]
In a recent research paper about its developments, FinalSpakr claims that training a single LLM like GPT-3 required approximately 10GWh — about 6,000 times greater energy consumption than the average European citizen uses in a whole year. Such energy expenditure could be massively cut following the successful deployment of bioprocessors.
[...]
The operation of the Neuroplatform currently relies on an architecture that can be classified as wetware: the mixing of hardware, software, and biology.
[...]
"While a wetware computer is still largely conceptual, there has been limited success with construction and prototyping, which has acted as a proof of the concept's realistic application to computing in the future."
World's first bioprocessor uses 16 human brain organoids for ‘a million times less power’ consumption than a digital chip
https://www.tomshardware.com/pc-compone ... gital-chip

I predicted that with reaching the 8 billion humans mark, we will have developed another ground breaking computing technology, similar to the advent of the transistor, IC and microchip, looks like Wetware is a candidate, or alike.

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towforce
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Re: FinalSpark - but honey, can it play chess?

Post by towforce »

One word for that article: hype.

Wetware has been around since the 1990s (in nature it has been around about 500 million years - since the Cambrian Explosion) - but nobody is going to be using it for AI.

Here are some more realistic future scenarios - link.

The article correctly states that LLMs like GPT take a lot of power to train - but nobody is ever going to be training a model that large in wetware.
The simple reveals itself after the complex has been exhausted.