[6 hour YouTube video stream of consciousness about about intelligence, AI, AGI, brain, physics, math, STEM, cognitive science, philosophy, complexity, foundations, consciousness, futurology, transdisciplinarity, transhumanism, technology and everything](https://www.youtube.com/watch?v=8N6_8v6oXZ0) - How does the world work? How does everything work? - What is the fundamental equation of intelligence? What are all the different types of all the possible current and future intelligent systems? - What is the fundamental equation of the universe? What are all the equations, and mathematical structures more generally, governing reality across all scales in physics, and in natural science more generally? - What is the state of the art in artificial intelligence mathematical theory and practice? - How to apply AI for reverse engineering equations behind everything? How to apply AI for good as ideally as possible as much as possible? - How to define and build artificial general intelligence and superintelligence? - What is the fundamental equation of the brain? How to upgrade human intelligence? - How does AI and biological intelligence compare? How can humans and AIs form even greater collective intelligence? - What is the fundamental equation of creativity in science and art? How to make machines creative beyond human limitations and comprehension for scientific discovery, physics, mathematics, art, philosophy? - How to connect all sciences, formal and natural? What is the fundamental equation behind emergence and complexity? How does biology and other scientific fields emerge from physics and chemistry? - What are all the concepts in mathematics? What are all the possible foundations and mathematics with all sorts of mathematical universes and which ones are the best in what contexts? - What is the fundamental equation of consciousness? - How to make the world better for all? - What is the fundamental equation of building a great future for all where everyone flourishes? How to maximize the benefits, and minimize the disadvantages, of technologies and political systems? What is and what will be the geopolitics of AI? What are the probabilities of different future scenarios? - What are the answers to the problems in philosophy? Are you driven by infinite curiosity about how everything works? The Universe & Reality: What are the fundamental equations governing reality across all scales? We investigate physics (cosmology, quantum gravity, Standard Model), chemistry, biology, emergence, complexity, and the quest for a Theory of Everything, from the Big Bang to the nature of space and time. Intelligence (Artificial & Biological): What is the fundamental equation of intelligence? We delve into AI theory and practice (LLMs, deep learning, neurosymbolic AI, AGI, superintelligence), mechanistic interpretability, AI safety, AI engineering (PyTorch, agents), and applying AI for good (science, healthcare, automation). We compare AI with brain function, explore cognitive science, neuroscience, and pathways to enhance human intelligence, wellbeing & longevity (transhumanism, neurotechnology). Mathematics & Philosophy: Exploring the foundations of math (set theory, category theory), logic, metamathematics, and its unreasonable effectiveness. We tackle profound philosophical questions about consciousness (the hard problem), reality (ontology, epistemology), meaning, ethics, and the ultimate question: Why is there something rather than nothing? Technology & The Future: State of the art in AI and other technologies. How do we maximize benefits (abundance, problem-solving) and minimize risks (existential, societal, power concentration, regulatory capture)? We discuss the AI revolution's impact, automation, UBI, political systems, AI governance, and building a flourishing, protopian future for all sentient life, avoiding dystopia or extinction. How do we navigate technorealism, merging insights from Effective Altruism and Effective Accelerationism? Consciousness & Wellbeing: Investigating the nature of experience, the brain-mind connection, mapping states of consciousness, and exploring tools like meditation, psychotechnologies, and philosophy for enhancing wellbeing, agency, meaning, connection. My approach is Effective Omni: Embracing omnidisciplinarity and omniperspectivity. We aim to steelman all perspectives (science, philosophy, futurist movements like longtermism & Extropianism), synthesize knowledge across domains, and apply it for the collective survival, flourishing, understanding, intelligence, and wellbeing of all sentience. Let's increase prosperity and understanding while reducing suffering. We aspire towards Superflourishing, Superunderstanding, Superintelligence, Superwellbeing, and Superlongevity, tackling even the ultimate challenge of entropy and the heat death of the universe, aiming to ascend the Kardashev scale. Join this exploration of science, technology, AI, philosophy, the future, mathematics, neuroscience, consciousness, art, and the very fabric of existence! Let's get supercurious together! [OpenAI O1 AI examples of step change in math, physics, programming! Architecture, benchmarks, future - YouTube](https://www.youtube.com/watch?v=upVNFGt1ZrQ) [x.com/burny\_tech/status/1835794373390499862](https://x.com/burny_tech/status/1835794373390499862) New OpenAI O1 AI model: Examples of step change in math, physics, programming! New benchmarks, technical details, current state and future of AI! Concrete examples of step change in math, physics, programming: 1. Terrence Tao (top mathematician) says O1 can for the first time identify suitable theorems (Cramer's theorem) for vague mathematical queries, and perform at the level of a mediocre but not incompetent graduate student. 2. George Hotz called it the "first model capable of programming at all." 3. A user reported O1 fixed a complex Bluetooth protocol issue that previous models failed to understand. 4. An astrophysics PhD student reported that O1 accomplished in minutes what took a year of their PhD work, producing smaller code. 5. O1 came up with a novel approach for a proof of a theorem, which impressed a mathematician. 6. O1 correctly was able to compute the fundamental group of a circle in one attempt, while other models struggled. 7. A law professional reported being happy with O1's performance in legal tasks. 8. A lot of other mathematicians are reporting step change in performance. Concrete benchmarks: 1. OpenAI benchmarks show O1 crushing benchmarks in coding, math, and PhD-level questions. 2. In LiveBench O1 Preview outperforms other models, including Claude, in reasoning, mathematics, data analysis, and language tasks according to the LiveBench benchmark. Interestingly, O1 Mini performs better than O1 Preview in some reasoning tasks. In coding tasks, the results are mixed, with different models excelling in different aspects (e.g., code generation vs. completion). 3. OlympicArena reasoning benchmark: O1 significantly outperforms previous models. 4. O1 crushes internal Devin software engineering benchmarks. 5. Simple Bench: O1 preview showed a 50% improvement, though under different testing conditions. 6. Aiden bench: Big jump for O1 7. Mensa IQ tests: Jump from 90 IQ to 120 IQ. 8. Arc benchmark: O1 preview performs much better than GPT-4o, but at the same level as Claude 3.5 Sonnet. 9. Some medical benchmarks got crushed. 10. Some privately held benchmarks show a 30% increase in performance. Concrete technical details: 1. O1 is trained with reinforcement learning, chain of thought, selfcorrection, breaking down of problems, search and sampling with a scoring function. 2. New scaling laws for test time compute. 3. o1 is single model, there is no multiple models, “monologue” etc 4. o1 is able to generate very long responses while keeping coherence unlike all previous models 5. No amount of prompt engineering on GPT-4o can match o1’s performance 6. o1-mini dataset had much more STEM data than other data Current state and future of AI: 1. There's a mixed reception to O1, with some praising it as a significant step change and saying it's just minor incremental step and everyone is pointing out its limitations. 2. Confusion exists about O1's coding abilities, with conflicting reports on its performance compared to other models. 3. O1 still struggles with some out-of-distribution reasoning tasks and simple logic problems. 4. The full O1 model that OpenAI has internally (not just the preview) is expected to significantly outperform the current preview version on most of these benchmarks and tasks. 5. Upcoming AI releases (o1 (full), Orion/GPT-5, Claude 3.5 Opus, Gemini 2 (maybe with AlphaProof and AlphaCode integrated), Grok 3, possibly Llama 4, etc.) are anticipated to push capabilities further. 6. More AGI labs are already integrating more reinforcement learning, chain of thought, selfcorrection, breaking down of problems, search and sampling with a scoring function, planning, agents and so on. 7. We should also accelerate reverse engineering research such as mechanistic interpretability for proper steerability in context where it's the most important. 8. We may be on the brink of an intelligence explosion, with models already showing signs of recursive self-improvement, such as o1 contributing to frontier AGI research and development inside OpenAI. 9. Competition between major AI labs (OpenAI, Google, Anthropic, xAI, SSI) is intensifying, with each having potential advantages in compute, data, or algorithms. 10. May AI advancements benefit everyone and lead to collective superflourishing, superintelligence, superwellbeing, superlongevity, superunderstanding! [https://youtu.be/g3IZ-aB4pLE](https://youtu.be/g3IZ-aB4pLE) Philosophy, science, AI, intelligence, math, physics, brain, geopolitics, future of AI and humanity 1. Synthesizing philosophical assumptions and scientific models across all domains and scales to create a comprehensive predictive framework. 2. Adopting an instrumentalist perspective where the productivity of models is prioritized over specific ontological assumptions. 3. Embracing multiple, parallel truths from different fields and scales (e.g., physics, chemistry, biology, neuroscience) as long as they provide predictive power. 4. Exploring isomorphisms and symmetries across mathematical frameworks and domains to create a unified knowledge structure. 5. Considering various definitions and aspects of intelligence, including adaptability, representation compression, generalization, and self-regulation. 6. Discussing the current state and future of AI, including: - The surprising generalization capabilities of large language models - The need for integrating various modalities and capabilities (e.g., planning, search, causal reasoning) - The potential for developing more coherent and stable symbolic manipulations 7. Emphasizing the importance of AI interpretability for setting rules and ensuring steerability. 8. Addressing existential risks such as climate change, misaligned superintelligence, and surveillance dystopias. 9. The optimistic outlook on humanity's ability to navigate challenges and create a positive future for all using advanced technologies. 10. Envisioning a future with diverse intelligent systems, including biological, artificial, and hybrid forms. 11. Advocating for the use of technology to create abundance and improve lives for all sentient beings. 12. Considering the long-term future of intelligence spreading throughout the universe and beyond the heat death. 13. Balancing the trade-offs between open-sourcing AI systems and potential risks. 14. Discussing the potential for reprogramming genomes and creating novel biological systems. 15. Emphasizing the importance of collective intelligence and the interconnectedness of human and artificial systems. Overview of this exobrain [Transhumanism, singularity, intelligence, AGI, immortality, math, science, physics,brain, futurology - YouTube](https://www.youtube.com/watch?v=TS2rZMyz7-8) [x.com/burny\_tech/status/1802668080444608599](https://x.com/burny_tech/status/1802668080444608599) [Grounding QRI in First Principles (Part I): Bridging Computation and Philosophy - YouTube](https://www.youtube.com/watch?v=U4DPnGxOmh4)