[Než budete pokračovat na YouTube](https://www.youtube.com/playlist?list=PLmQOGaOyjl0tLkZLLpZruQqS3EH0gB_dQ) [GPT-o1 - by Zvi Mowshowitz - Don't Worry About the Vase](https://thezvi.substack.com/p/gpt-4o1) Wiki beggining of infinity singularity is nearer [Principles for the AGI Race — LessWrong](https://www.lesswrong.com/posts/aRciQsjgErCf5Y7D9/principles-for-the-agi-race) AI explained Patreon [The Scaling Hypothesis · Gwern.net](https://gwern.net/scaling-hypothesis) julian schrittwieser [https://youtu.be/KPqxhzT2P0Y?si=93p25rbIab_nud57](https://youtu.be/KPqxhzT2P0Y?si=93p25rbIab_nud57) Quantamagazine [AI Models Scaled Up 10,000x Are Possible by 2030, Report Says](https://singularityhub.com/2024/08/29/ai-models-scaled-up-10000x-are-possible-by-2030-report-says/) [Can AI Scaling Continue Through 2030? | Epoch AI](https://epochai.org/blog/can-ai-scaling-continue-through-2030#what-constraint-is-the-most-limiting) [OpenAI’s Strawberry and inference scaling laws](https://www.interconnects.ai/p/openai-strawberry-and-inference-scaling-laws) Machine Learning Potentials: A Roadmap Toward Next-Generation Biomolecular Simulations [[2408.12625] Machine Learning Potentials: A Roadmap Toward Next-Generation Biomolecular Simulations](https://www.arxiv.org/abs/2408.12625) [AI for Bio: State Of The Field — LessWrong](https://www.lesswrong.com/posts/CGegZveogJRGCK3LA/ai-for-bio-state-of-the-field) [The Terrifying Power of Mathematics | Not Even Wrong](https://www.math.columbia.edu/~woit/wordpress/?p=14113) Julian Huxley Max More Natasha Vita-More Technical ml podcasts https://x.com/teortaxesTex/status/1795942239580917867?t=JK3N8nx418fKkITNqS4zjw&s=19 [Alexander Kruel - The top 10 most important living...](https://www.facebook.com/xixidu/posts/pfbid02UFUhcJrrQ8oUVAoY1CR8Lem3ND7pTBfW6BmLHebQawNZKMpRZeubpcqZz9aotsRpl) The top 10 most important living intellectuals: 1. Elon Musk (Neuralink / SpaceX) 2. Eliezer Yudkowsky (AI risks / rationality) 3. Nick Bostrom (existential risks) 4. Robin Hanson (prediction markets / brain emulation / signalling) 5. Aubrey de Grey (longevity) 6. Peter Singer (effective altruism) 7. Kenneth Hayworth (brain preservation) 8. Scott Alexander (Slate Star Codex) 9. Yann LeCun, Geoffrey Hinton and Yoshua Bengio (Godfathers of Deep Learning) 10. Satoshi Nakamoto (Bitcoin) Other important thinkers who are still alive: - David Pearce and Brian Tomasik (reducing suffering / transhumanism) - Eric Drexler (nanotech pioneer and visionary) - Ray Kurzweil (the technological singularity) - David Deutsch (universal quantum computer) - Max Tegmark (multiverse) - Judeal Pearl (causality) - Richard Sutton (Reinforcement Learning, Bitter Lesson) - Jürgen Schmidhuber (LSTMs) - Marcus Hutter (AIXI) - Emmanuelle Charpentier and Jennifer Doudna (CRISPR-Cas9) - Steven Pinker (blank slate) - David Chalmers (the hard problem of consciousness) - Richard Dawkins (selfish genes) - Jonathan Haidt (foundations of morality) - Nassim Nicholas Taleb (tail risks) - Michael Nielsen - Daniel Dennett - Scott Aaronson - Steve Sailer - Charles Murray (race and intelligence) - Douglas Murray - Jordon Peterson - Curtis Yarvin ("red pill") - Peter Scholze - Terence Tao - Demis Hassabis (DeepMind) - Stephen Wolfram (Mathematica and the Wolfram Alpha) - Andrew Wiles (Fermat's Last Theorem) - Grigori Perelman (Poincaré conjecture) - Akshay Venkatesh book [Artificial General Intelligence](https://mitpress.mit.edu/9780262549349/artificial-general-intelligence/) Marvin Minsky [https://youtu.be/EI0NXTrS5Pw?si=dWTwr-nULMwNGAjq](https://youtu.be/EI0NXTrS5Pw?si=dWTwr-nULMwNGAjq) Marvin Minsky society of mind Isaac Asimov Howard Gardner Multiple Intelligences Joscha Bach Curt Jaimungal Karl Friston Stephen Wolfram Michael Levin Maxwell Ramstead Thomas Parr Donald Hoffman Andrés Gómez Emilsson Sabine Hossenfelder Chris Fields Irina Rish Ben Goertzel books [https://global.oup.com/academic/product/from-deep-learning-to-rational-machines-9780197653302?cc=cz&lang=en&](https://global.oup.com/academic/product/from-deep-learning-to-rational-machines-9780197653302?cc=cz&lang=en&) llama paper [[2407.21783] The Llama 3 Herd of Models](https://arxiv.org/abs/2407.21783) Marcus Hutter kenneth stanley books interviews lectures neural evolution Ai paradigm [https://www.youtube.com/watch?v=lhYGXYeMq_E](https://www.youtube.com/watch?v=lhYGXYeMq_E) [https://www.youtube.com/watch?v=DxBZORM9F-8&pp=ygUea2VubmV0aCBzdGFubGV5IG1sIHN0cmVldCB0YWxr](https://www.youtube.com/watch?v=DxBZORM9F-8&pp=ygUea2VubmV0aCBzdGFubGV5IG1sIHN0cmVldCB0YWxr) [https://www.youtube.com/watch?v=pWIrXN-yy8g&t=15s&pp=ygUPa2VubmV0aCBzdGFubGV5](https://www.youtube.com/watch?v=pWIrXN-yy8g&t=15s&pp=ygUPa2VubmV0aCBzdGFubGV5) [https://www.youtube.com/watch?v=oyb61UTwY5s&pp=ygUPa2VubmV0aCBzdGFubGV5](https://www.youtube.com/watch?v=oyb61UTwY5s&pp=ygUPa2VubmV0aCBzdGFubGV5) [https://www.youtube.com/watch?v=T08wc4xD3KA&pp=ygUPa2VubmV0aCBzdGFubGV5](https://www.youtube.com/watch?v=T08wc4xD3KA&pp=ygUPa2VubmV0aCBzdGFubGV5) [https://www.youtube.com/watch?v=VDuF4onPmuE&pp=ygUPa2VubmV0aCBzdGFubGV5](https://www.youtube.com/watch?v=VDuF4onPmuE&pp=ygUPa2VubmV0aCBzdGFubGV5) [https://www.youtube.com/watch?v=iqkkkA9dtY0&pp=ygUea2VubmV0aCBzdGFubGV5IG1sIHN0cmVldCB0YWxr](https://www.youtube.com/watch?v=iqkkkA9dtY0&pp=ygUea2VubmV0aCBzdGFubGV5IG1sIHN0cmVldCB0YWxr) [Amazon.com](https://www.amazon.com/Why-Greatness-Cannot-Planned-Objective/dp/3319155237)