The Analytic Retreat from Reality — Analytic philosophy has been the hegemonic form of academic philosophy in the English-speaking world for the better part of a century. It prides itself on clarity, logical rigor, and the precise analysis of
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Ken Hayworth: Brain Preservation is the Logical Lifeboat
Thirteen years ago, I sat down with Ken Hayworth and asked him a question most people spend their whole lives avoiding.
What happens to the self when the body fails?
Ken is president of the Brain Preservation Foundation. He is also a neuroscientist who refuses to flinch. His answer was not comfort. It was logic.
Brain preservation, he argued, is the logical lifeboat that people have access to today.
Here is the part that has stayed with me ever since. Ken imagines our grandchildren looking back at us. They will see that we had the science. They will see that we understood the brain holds our memories, our skills, our personality. And they will ask why we did nothing.
His verdict is brutal. We were not killed by bad technology. We were killed by bad philosophy. We simply could not accept that we are physical machines.
From Worm to AI: How Control Theory Unlocks Neural Networks
In this video, Dr. Ardavan (Ahmad) Borzou will discuss the control theory in network science and its application in C. elegans \& artificial neural networks. A short history of network science and the basics of control theory will also be reviewed.
Comprehensive Python Checklist (machine learning and more advanced libraries will be covered on a different page):
https://compu-flair.com/blogs/program… Website: www.compu-flair.com Chapters: 00:00 — Introduction 01:52 — Application of control theory in the neural net of worm 03:23 — Networks in Data Science & Seven Bridges of Konigsberg Problem 05:00 — History of network science 06:22 — Basics of control theory 10:23 — Results of applying control theory to the neural net of worm 11:27 — Control theory for artificial neural networks 12:44 — Comprehensive Python checklist for data scientists.
CompuFlair Website:
www.compu-flair.com.
Chapters:
00:00 — Introduction.
01:52 — Application of control theory in the neural net of worm.
03:23 — Networks in Data Science \& Seven Bridges of Konigsberg Problem.
05:00 — History of network science.
06:22 — Basics of control theory.
10:23 — Results of applying control theory to the neural net of worm.
11:27 — Control theory for artificial neural networks.
12:44 — Comprehensive Python checklist for data scientists.
Researchers propose ‘copyleft’ rules for generative AI
The rise of generative artificial intelligence (AI) poses challenges for the free and open-source software (FOSS) community, a global network committed to creating and maintaining publicly available software that anyone can use, modify and share. Many AI models have been built on open-source software but do not reciprocate the transparency that the FOSS community’s principles require, leaving open-source developers uncertain about how these AI tools are using their code.
A study by researchers at Yale’s Digital Ethics Center (DEC) explores a potential solution to this problem based on a concept used in free and open-source software known as “copyleft” licenses—a twist on typical copyright rules that obliges works derived from open-source materials to remain as free and transparent as the original work, rather than relicensing it under more restrictive terms. The study is published in the International Journal Of Law And Information Technology.
The authors propose what they call a Contextual Copyleft AI License (CCAI)—a novel extension of copyleft licensing that would treat generative AI models as derivative works and require AI developers training models on open-source code to make their architecture and training data freely available.
Blender Spotted In Boston Dynamics’ Robot Football Training Pipeline
In time for the FIFA World Cup 2026, step behind the scenes to see how Atlas mastered the difficult Ghost Rabona kick.
Particle-Simulated Foam In Custom C++ Coastal System
Leonard Saalfrank, also known as OMYOG, has showcased a custom C++ coastal renderer created as a one-week rendering challenge, exploring real-time shoreline rendering, shallow-water simulation, and GPU-driven visual effects.
The project builds on his earlier water-rendering work for Ferocious and expands it with shallow-water waves, GPU-driven breaking waves, and particle-based foam supporting up to 300K GPU particles.
Above is a render handling over 6 million triangles across all passes, using 8K textures at 2K resolution, running at around 250 FPS on an RTX 4,090 Laptop GPU with GPU profiling enabled. Without capture and profiling overhead, performance reportedly increases to around 300 FPS.
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Strange winds on seven hot Jupiters reveal strongest signs yet of exoplanet magnetic activity
A team of astronomers has found the strongest evidence yet that some planets outside our solar system may be magnetic. Using the European Southern Observatory’s Very Large Telescope (ESO’s VLT) and the GeminiNorth telescope, the researchers measured wind speeds on seven very hot, Jupiter-like exoplanets.
The observations reveal that the winds on these planets are most likely governed by magnetic fields, providing the first robust measurement of magnetism on planets outside the solar system.
“This breakthrough opens a completely new window on exoplanet research. It’s the first time we can compare the magnetic environments of other worlds—a key step toward ultimately understanding which planets can stay alive, keep their water, and perhaps even, one day, host life as we know it,” says Julia Seidel, an astronomer at the Laboratoire Lagrange, Observatoire de la Côte d’Azur, France and lead author of the study published in Nature Astronomy.