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Articles by Shamoon Siddiqui
Everything Begins with Information: How the Brain Constructs Reality from Raw Data
By Shamoon Siddiqui We live in a world of colors, shapes, sounds, and sensations. Or at least, that is what it feels like. But what if all of these experiences — red apples, blue skies, soft textures — are not the world itself, but imaginative constructs created by our brain? At the most fundamental level, everything begins with information. The world outside sends a constant stream of signals — light, sound, touch, chemical molecules — and our sensory systems act as information-gathering devices.
The Illusion of Non-Algorithmic Origin of Humans
Why the human soul feels analog — but isn’t There is a myth at the heart of human identity. It is not spoken aloud, but it underpins philosophy, religion, and even modern neuroscience. It is the belief that human consciousness is somehow non-algorithmic — that the mind is more than a machine, and that the self is too rich, too nuanced, too sacred to be reduced to code, circuitry, or discrete logic. But what if this belief is simply an illusion?
Why Only This Was Possible: The Deep Code Behind Reality
By Shamoon Siddiqui We live in a universe where certain things happen — and countless others do not. Why? What fundamental principle decides that an electron should exist but not a unicorn-shaped black hole, or that certain thoughts blossom into ideas while others never arise? This question lies at the heart of my recent theoretical framework, Ontoduction, and its scientific engine, Energionics. Together, they attempt to answer not just what happens, but why only this was possible.
[2205.01138] Transformers in Time-series Analysis: A Tutorial
[Submitted on 28 Apr 2022 ( v1 ), last revised 1 Jul 2023 (this version, v2)] Title:Transformers in Time-series Analysis: A Tutorial Download a PDF of the paper titled Transformers in Time-series Analysis: A Tutorial, by Sabeen Ahmed and 5 other authors Download PDF Abstract: Transformer architecture has widespread applications, particularly in Natural Language Processing and computer vision. Recently Transformers have been employed in various aspects of time-series analysis.
Terasem Colloquium, December 10, 2021: VIDEO and impressions
Here is the full video of the Colloquium, with all talks and Q/As: Susan Schneider was expected to give a talk, but unfortunately she wasn’t able to participate. So in the first 15 minutes I opened the Colloquium, introduced all participants and talks, said something about Susan’s ideas, and offered some thoughts on consciousness and its preservation.
AI Enabled Kill Webs and the Slippery Slope towards Autonomous Weapons Systems
Laura Nolan is a computer programmer who resigned from Google over Project Maven. She is now a member of the International Committee for Robot Arms Control (ICRAC) a founding member of the Campaign to Stop Killer Robots. #KeepCtrl. Last month, the United Nations Convention on Conventional Weapons (CCW) is meeting to discuss Lethal Autonomous Weapons Systems (LAWS), sometimes described as ‘killer robots’.
Why your previous developer was terrible – Things Developers Care About – Medium
You hired a new developer for a project you’re working on and she seems to have solved all of your problems. She’s been on the job for 3 days and she’s already suggested upgrades for 5 of your libraries and re-organized your JIRA issues. At every turn, she seems to validate your choice in hiring her. She’s found 8 bugs that were glaring and would have caused a critical meltdown. How terrible was your previous developer that he couldn’t have spotted any of this??
How Artificial General Intelligence might be created
Humanity’s quest to create machines that can think like us may be realized within our lifetimes thanks to cryptocurrency The goal of creating thinking machines is not a new one. It has been theorized and fantasized about for almost as long as humans have been capable of attributing intelligence to the non-living. From Frankenstein’s monster to Alan Turing’s famous “Imitation Game,” we have dreamed about various entities that can think and reason as we can.
A framework for trusted pretained neural networks – Shallow Thoughts about Deep Learning – Medium
How a repository of trained data will help advance humanity towards the Singularity For humanity to achieve its unstated goal of building intelligence that will be far beyond us, I think it might be necessary to have a central repository of pretrained neural networks. Instead of having to reinvent the wheel for each task, we could stand on the shoulders of giants for our future tasks. It’s not as straightforward as it seems, however.
Why deep neural networks don’t actually think
Neural networks continue to solve ever more challenging problems, but will never think as long as we used a “layered” approach Overview It’s 2019 now and we have machines that can Beat the best humans in the ancient game of Go Get ever more impressive scores in games like Flappy Bird Guide cars to drive themselves Interpret sentiment from text Create images of faces of people that have never existed before … and the list go on But the one thing that machines fail to do is…. think.
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