Oh no Skynet doomsday with Deep Learning but maybe AGI heaven with China’s neuromorphic computing?

My dark side gets all excited when thinking about Skynet soon being a reality but then critics of tech hype show up and just ruin a good horror story by presenting boring facts.

Alberto Romero (Apr 05, 2021):

5 Reasons Why I Left the AI Industry

” … In the words of Geoffrey Hinton, the ‘Godfather of AI’:

““My view is: throw it all away and start again.”” (…)

“Not long ago, AI was a general, broad term that encompassed many areas. One of those was machine learning (ML), which at the same time was divided into different branches including deep learning (DL). Now, I can safely say that, for most, AI = ML = DL.” (…)

“It seems to me that AI [DL] has become an end in itself. Most don’t use AI to achieve something beyond. They use AI just for the sake of it without understanding anything that happens behind the scenes. That doesn’t satisfy me at all.” (…)

“Today, we seem to have forgotten the brain. DL works nothing like it. Computer vision and convolutional neural nets don’t work like our visual system. Supervised learning models (which dominate AI right now) need to learn from labeled data but humans learn from sparse data thanks to innate biological structures. Computers need huge amounts of computing power and data to learn to recognize the simplest objects, whereas a kid only needs to see one dog to recognize every other dog.”

“There have been some attempts at closing the gap between AI and the brain. One example is neuromorphic computing. The main idea is to create hardware that resembles the structures in our brain.”

“There’s a big difference between biological and artificial neural nets: A neuron in the brain carries information in the timing and frequency of spikes whereas the strength (voltage) of the signal is constant. Artificial neurons are the exact opposite. They carry info only in the strength of the input and not in the timing or frequency.”

“This difference between the brain and AI exists at such an elemental level that everything that’s built on it ends up diverging radically. Neuromorphic computing is trying to overcome these issues.”

Some argue that AI, as it exists today, will reach its ceiling soon. If we want to continue growing towards actual intelligence, we’ll have to rethink everything we’ve been doing shifting the path towards the only system we know that is intelligent enough to guide our efforts; our brain.”

For more un-fun facts and unwelcome sobering arguments take a look at what another hype-critic, John Horgan, is saying in Scientific American:

Will Quantum Computing Ever Live Up to Its Hype?

Premature Freak-Outs about Techno-Enhancement

Will Artificial Intelligence Ever Live Up to Its Hype?

I’m now biased in favor of NZI cyborgs, after the paradigm shift on drone-surveillance.info, so I prefer to simply forget about hype-criticism and focus on that which confirms my new dream:

Towards the end of deep learning and the beginning of AGI

AI on steroids: Much bigger neural nets to come with new hardware, say Bengio, Hinton, and LeCun

Will Artificial Brain Synapses & Neuromorphic Computing Open the Next AI Hardware Frontier?

Beyond Today’s AI

CEA-Leti Announces EU Project to Mimic Multi-Timescale Processing of Biological Neural Systems

Brainchip begins mass production of its neuromorphic AI chips

Next is some info about how China is doing in the field of neuromorphic computing. The Center for Security and Emerging Technology at Georgetown University’s Walsh School of Foreign Service (Sep, 2020):

China AI-Brain Research

“The brain initiative expanded primate facilities in and around China to house thousands of macaques and marmoset monkeys. Freedom to conduct neuroscience research on these primates has attracted foreign talent to China.” (…)

“Accordingly, we assess China’s AI-brain program to be a credible effort that merits respect …” (…)

” … we are less confident over the long term (10+ years) that potentially troublesome aspects of this research—or of AI generally—will not emerge, an assessment that comports with the views of Chinese AI experts. One need not subscribe to an AGI scenario to appreciate that AI research alone can entail challenging risks. Here is one scenario, for example, which is plausible over a shorter term—and comes directly from a credible Chinese source:”

“Speaking of the brain-computer interaction of tomorrow, we will move from intelligence [of one type] to intelligence [of another] (从智能而来,到智能而 去). The future is not about replacing human beings with artificial intelligence, but making AI a part of human beings through interconnection and interoperability. A blend of human and computer without barriers is the inevitable end of the future.”

CSET Policy Brief (August 2020):

Chinese Perspectives on AI and Future Military Capabilities

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s