i predicted hallucinations in 2001; here is another list from two years ago today
RESEARCH
-
Multiple Transhuman AIs and Existential Risk Arguments
By
–
In reply to a claim that I couldn't possibly "back up with detailed reasoning" the above: The detailed argument not-from-analogy is that even if there's multiple AIs of equivalent transhuman intelligence levels, at the point everything finally goes down, we should expect those
-
Aligned ASIs negotiating universe fraction with unaligned counterparts
By
–
Now, if you suppose that only some ASIs would prefer to not have to worry about human property rights, and that some ASIs have been fully aligned, then sure, the aligned ASIs would be able to negotiate giving over some fraction of the universe proportional to their own
-
Multiple Transhuman AIs and Convergence at Critical Point
By
–
In reply to a claim that I couldn't possibly "back up with detailed reasoning" the above: The detailed argument not-from-analogy is that even if there's multiple AIs of equivalent transhuman intelligence levels, at the point everything finally goes down, we should expect those
-
Deep Learning Hitting Wall: Challenges and Future Directions
By
–
and the original article: https://
nautil.us/deep-learning-
is-hitting-a-wall-238440/
… -
Superintelligence risks and historical moral panics reference class
By
–
Conversely, suppose you analogize concern about artificial superintelligences killing everyone to past moral panics about coffee and trains. Then (test 1) there's other possible choices of reference class besides "the class of warnings that turned out wrong", eg, you could also
-
Human Visual System Information Bandwidth Is Not Simply Optic Nerve Fiber Count
By
–
The information bandwidth of the human visual system is *not* 20MB/s just because you have 1 million optic nerve fibers. It's exactly like saying that the information bandwidth of a 1280×720 video is 16MB/s, because you have 1280x720x3 channels with 256 possible values firing at
-

Deep Learning Wall Prediction: Two-Year Evaluation
By
–
Two years ago today I argued that Deep Learning was Hitting a Wall. How did I do? Point by point evaluation at link below
-
GPU Infrastructure Evolution: From Personal Desktops to University Investment
By
–
Even I as a @UCBerkeley grad student had 8 gpus in my (non uni) desktop in 2012 (electricity bills weren't cheap…). Time to invest @Stanford
-

Deep Learning Fundamentals: Essential Guide to AI and Machine Learning
By
–
Intro: Deep Learning! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Tutorial-Intro
