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"Not Even Wrong" Podcast
Investing in fundamentally new concepts and engineering practices with large impact.

Episode, June 17 2024

Discussing the essay “Peak Academia” and why knowledge creation must be liberated from the shackles of gowns, tuition, and ideology. The history of universities shows that liberated thinking has enormous benefits to society. Today’s academia resembles the church in medieval Italy, with ideology, indoctrination, and intolerance rising. This situation led to the birth of the modern university. What is the alternative today? Disruption in education must happen in conjunction with disruption in politics. Texas.

Episode, June 16 2024

Book discussion”In Ascension” by Martin MacInnes. 1/3 Human aspect of space travel. What does it mean to be human in an environment of deprivation 2/3 Science Fiction typically suffers from scientism. Because writers are advised by scientists who think highly of their status. 3/3 Narrative boring. Pedantry about science details because of pedantry of science advisors. However, the book offers a good description of the psychology of human space travel.

Episode, June 15 2024

Tesla opens new fork. Decentralized transport, compute and energy company. Robotaxi is decentralized compute for transport. Inference chip is compute for AI inference and solar/storage is photons. All provided through a decentralized network. By offering idle capacity, pricing will be very competitive. 

Episode, June 12 2024

CVPR 2024 Part 2.

Inspired by the book “In Ascension”, we observe that the boundaries of life are blurred. Also, what is intelligence and what is life? Is life the definition of intelligence and vice versa? Dynamic adjustment to environment. What is optimal life/intelligence for in given environment? What if the intelligence changes the environment? Ideas for training robots. Build an AI that trains robots, like the AI personal trainer.

 

Episode, June 11 2024

CVPR Part1.  Qualcomm papers:

  1. More accurate depth estimation from 2D and 3D. Use Language models to infer 3D from 2D and estimate depth.

  2. Video stereo data. Parallel method to estimate depth from stereo camera pixels.

  3. See video. ❤️ Learn from video and correct actions. AI driven personal trainer. Could this be used for training robots?

  4. Speculative decoding. language model to predict  tokens in a multimodal model.  More tokens per second. 

  5. Omnidirectional computer vision workshop. Infer physics from 2D images? End to end learning physics from 2D. 

Episode, June 9 2024

Tesla shareholder meeting. We vote Yes for Elon Musk's pay package and Yes for the move to Texas. Here is why. 

Pay package: Elon deserves to be paid because he is a leader with the right mix of risk taking, technological expertise and ability to galvanize highly skilled humans to do great things. Texas Move: Delaware judge is overreaching by telling us owners what’s good for us. Institutional shareholders don’t have skin in the game. Retail investors care because it’s their wealth on the line. Texas can fix this overreach. 

 

Episode, June 7 2024

Reaction to what is wrong with capitalism. How the left gave up the working class and how to fix it.

Elitism penetrates the American Democratic party. Cherry picking issues to further their wallet and influence instead of representing the working class. This void can only be filled by entrepreneurs, because they care most about wellbeing of workers. Tesla transcends hierarchies and offers upward mobility. That’s why leftish elites hate Musk. Separate knowledge creation and career pipeline from legacy academia.  

Episode, June 3 2024 II

3D rendering from 2D images using transformers and diffusion 

 

Take 2D image. Tokenize in patches. Apply transformer architecture with self attention and cross attention. Reconstruct in triplane for 3D rendering. Use diffusion for rendering. 

Is it possible to train images from 2D to 3D and then generalize across many more categories without having to fine tune or put priors in by category? Is there a latent structure in 2D to 3D rendering that is general and independent of particular types of images? 

Episode, June 3 2024

Essay discussion “Beyond the Limitation Game”

What happens to humans when machines do all the work?

  1. Work will become more humane and less menial. Menial work is work that doesn’t involve the human advantage; RFC = Risk, Fight, Creativity. 

  2. Is there a limit to how much wealth creation a society can or wants to achieve?  Status is a limiting factor. 

  3. Technological progress could bring abundance and thus help humanity free itself from the shackles of scarcity. 

 

Episode, June 2 2024

You can only see what you know. What is knowledge? How is it created? Iteration, error correction. Pareto optimality. Exploration vs. exploitation is a muscle worth training. The more knowledge the more you see. Wealth is the set of all achievable transformations. The more you see the more you know the more wealth. 

Episode, May 31 2024

Aaron Ames on “learning needs control”. 

Safety is a learning problem. Formulating it as control is misleading and provokes illusion of control. Two advantages If regarded as learning problem. 1/2 Accept variance. 2/2 Focus on data and algorithms to approximate safety as search for Pareto frontier.   

Episode, May 30 2024

Book discussion “The Extraordinary life of Sam Hell” by Robert Dugoni. 1/3 Belief and Faith are human fundamentals. Evolutionary advantage. 2/3 Inclusion isn’t. Cost of inclusion to individual and society. 3/3 Author writes form the heart. Good. Narrative doesn’t flow as well as for example Damon Copperhead (similar novel). Good story.

Episode, May 29 2024

Zhenyi Liu (Stanford)

 

  1. Scene generation and camera and sensor calibration. See paper. The key here is generate synthetic scenes so cameras can be calibrated and ML systems tested. 

  2. Fog synthesizer. Generate fog. Create a fog dataset with different lighting conditions so the model can learn to detect object in foggy conditions and the model can also be tested against this dataset.

Episode, May 28 2024

John Preskill presentation on applying ML for quantum systems prediction. 

Algorithm learns how quantum system evolves. Paradox. How can seeing a few pages predict the book in an entangled system? What is a page? Preskill says doesn’t see application of quantum information processing to classical ML.  

Episode, May 23 2024

Nvidia Earnings Call. 1/3 New compute paradigm, generative not instructions. 2/3 Sovereign AI, arms race. 3/3 Cost leader per joule and dollar. 

Creating, Using and Detecting Deepfakes

Hany Farid (UC Berkeley). Detect Deepfakes with geometry, vantage point. Byzantine Generals problem. Hardware-software solution to authenticity. 

Scaling laws in LLMs, Code generating models 

Loubna Ben Allal, Hugging Face. Chinchilla scaling laws. Optimize for tokens, data and parameter size. Smaller models better for inference. Starcoder. Code vs. LLM generally requires long context. No big difference between code and English LLM with regard to tokenizer. 

Episode, May 22 2024

Leslie Schoop, Princeton

How can AI help in material discovery? What material should be studied in the first place? Data, model. algorithm. Band theory. Quantum materials: Superconductors, Topological materials (electronics), Spintronic (data storage and processing), Quantum sensors and quantum computing components. Roald Hoffmann, learn the language of physics and AI. Deep Mind paper on material discovery. 

James Analytis, Berkeley, When materials are in transition they exhibit quantum behavior. Study fluctuations due to Heisenberg for applications in spintronics with anti-ferromagents. Applying current.

Episode, May 20 2024

Book discussion “Back to Blood” by Tom Wolfe. 1/2 Conclusion of “Painted Word”. The end of an area of theory laden observation. What’s real cannot be faked and vice versa. Fake news is an oxymoron. People form an option and then find the information to back it. 2/2 Real world journalism with narratives, characters and plots. 

Episode, May 18 2024

Extreme energy workshop. Fusion. 1/4 Large government project don’t work. 2/4 More iteration, error correction. 3/4 Incentivize actors to produce more results that are benefiting society. 4/4 Focus on education, teaching and research. Refrain from money, status and vanity. Essay.

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