2023-09-23 David Corney
… build a text-generating model that is as transparent as possible, with nowhere for sentience to hide.
2023-08-31 Amanda Gefter
In a series of papers, Blumberg articulated his theory that the brain uses REM sleep to “learn” the body. You wouldn’t think that the body is something a brain needs to learn, but we aren’t born with maps of our bodies
In 2013, Blumberg published a paper in Current Biology titled “Twitching in Sensorimotor Development from Sleeping Rats to Robots.” In it, he asked, “Can twitching, as a special form of self-generated movement, contribute to a robot’s knowledge about its body and how it works?”
Visualizations of low dimension artificial neural networks transforming the input into a representation that can be separated by a line with the different classes of data on each side.
Neural Networks, Manifolds, and Topology
2014-04-06 Christopher Olah
2023-02-06 Steven Luu
“mature” engineers … go beyond “just” patching these problems. They take the extra step to make sure the next person won’t have to spend the same level of energy fixing the same issue, or eliminate the problem class altogether for their team.
There have been news stories about how the Office of Inspector General, U.S. Department of the Interior found weak passwords in the Department of Interior’s Active Directory accounts:
The OIG report:
P@s$w0rds at the U.S. Department of the Interior: Easily Cracked Passwords, Lack of Multifactor Authentication, and Other Failures Put Critical DOI Systems at Risk
It has password advice on page 8:
NIST SP 800–63 recommends using passphrases instead of passwords …
Password vs. Passphrase Examples
Password = 5pr1ng*Ish3re
Passphrase = DinosaurLetterTrailChance
I believe the passphase words have to be chosen randomly from a large word list to be effective, but it is easier to remember than a complex password.
2022-12-08 by Synced
there is increasing interest in whether the biological brain follows backpropagation or, as Hinton asks, whether it has some other way of getting the gradients needed to adjust the weights on its connections. In this regard, Hinton proposes the FF [Forward-Forward] algorithm as an alternative to backpropagation for neural network learning.
It aims to replace the forward and backward passes of backpropagation with two forward passes: a positive pass that operates on real data and adjusts weights “to improve the goodness in every hidden layer,” and a negative pass that operates on externally supplied or model-generated “negative data” and adjusts weights to deteriorate the goodness.
The Forward-Forward Algorithm: Some Preliminary
Investigations by Geoffrey Hinton
Using the Forward-Forward Algorithm for Image Classification
Includes sample Python code using the Keras Python library.
2022-10-13 Morgan Smith
“We live in a world that’s increasingly gamified, and I think we have an instinct to win, crush and kill,” he said. “But if you can disengage or disarm that instinct for a second and replace it with seeking to learn about somebody instead, that, as a leadership quality, for me, has quite literally changed every aspect of my life.”
The Lovelace test demands of a computing machine that it not only produce an artifact that is by conventional standards amazing, but it leaves everyone looking at it
stupefied as to how it does what it does: including in this stupefaction the creators and designers of the machine.
– Selmer Bingsjord 
An artificial agent, designed by a human, passes the [Lovelace] test only if it originates a “program” that it was not engineered to produce. The outputting of the new program—it could be an idea, a novel, a piece of music, anything—can’t be a hardware fluke, and it must be the result of processes the artificial agent can reproduce. Now here’s the kicker: The agent’s designers must not be able to explain how their original code led to this new program. 
My thought is if God made humans, can a human use creativity to make an artifact, so that God can’t explain how it was made?
Artificial Intelligence: Will Machines Take Over? (Science Uprising, Ep. 10)
2022-09-21 YouTube channel: “Discovery Science”
Forget Turing, the Lovelace Test Has a Better Shot at Spotting AI
2014-07-08 Jordan Pearson
2012-06-10 Ulrich Sourisseau
Enlightening animations of how phonographs play back stereo sound.