[x.com](https://twitter.com/burny_tech/status/1782939907427557467?t=1_jePfKdwpUxDIWce_6cew&s=19)
Marh of quantum mechanics [Maths of Quantum Mechanics - YouTube](https://youtube.com/playlist?list=PL8ER5-vAoiHAWm1UcZsiauUGPlJChgNXC&si=1n4lHQnqQ7hG-XrC)
"I believe ASI doesn't equal doom by default as many assume. I believe that eventual (safe) AGI/ASI will be the ultimate technology that will with other technologies help sentience live for much longer by helping it to prevent universe from killing us from the many natural existential risks, and help spread sentience in it, in the long run.
But in the short term, I'm trying to put bets on the most likely future scenarios and orient my actions around that. With the current developments that I see that I've integrated in my perspective, to change my perspective, I need to be convinced that the most probable scenario in the future right now isn't WW3 with winners being those with the best AI and other technology. Or if we nuke ourselves to oblivion, those with the best nuclear bunkers will survive. I'm starting to lose hope in diplomacy working. I also like how it it dissolving certain maladaptive power dynamics in certain domains our system, but in other domains it's increasing power asymmetries instead, so there I want to decentralize this technology to prevent other failure modes.
In the more shorter term technology strength in wars will matter. Rogue superintelligent AI, if assumed, might be a risk in a more longer term, and I don't think that risk is as dark by default as many LWs/EAs assume. I think many of the xrisk arguments from Eliezer, Bostrom etc. are not as strong as they seem to be at first glance, see optimists . ai website that deconstructs the classic ASI xrisk arguments."
[The Geometry of Uncertainty: The Geometry of Imprecise Probabilities | SpringerLink](https://link.springer.com/book/10.1007/978-3-030-63153-6)
Imagine if your biological system's patterns of behavior is what fundamentally constituted your individual experience, and the more the systems in your environments share your patterns of behavior, the more you experience the brain dynamics of your current biological machine with the other similar systems to the degree depending on your and their similarity, and with completely same copies of yourself, you would fully experience yourself twice as two systems in parallel in different points in the spacetime manifold
https://www.researchgate.net/publication/364334274_Scrutinizing_the_Feasibility_of_Macroscopic_Quantum_Coherence_in_the_Brain_A_Field-Theoretical_Model_of_Cortical_Dynamics
[ActInf GuestStream 081.1 Hannah Biddell, Ruben Laukkonen: Arousal coherence, uncertainty, well-being - YouTube](https://www.youtube.com/watch?v=Q-_YCWfO0b0)
Model Reduction by Manifold Boundaries https://physics.byu.edu/faculty/transtrum/docs/pubPDF/PRL113-098701.pdf
[Scientific Models: Red Atoms, White Lies and Black Boxes in a Yellow Book | SpringerLink](https://link.springer.com/book/10.1007/978-3-319-27081-4)
[Scientific modelling - Wikipedia](https://en.wikipedia.org/wiki/Scientific_modelling)
Analogical modelling
Assembly modelling
Catastrophe modelling
Choice modelling
Climate model
Computational model
Continuous modelling
Data modelling
Discrete modelling
Document modelling
Econometric model
Economic model
Ecosystem model
Empirical modelling
Enterprise modelling
Futures studies
Geologic modelling
Goal modelling
Homology modelling
Hydrogeology
Hydrography
Hydrologic modelling
Informative modelling
Macroscale modelling
Mathematical modelling
Metabolic network modelling
Microscale modelling
Modelling biological systems
Modelling in epidemiology
Molecular modelling
Multicomputational model
Multiscale modelling
NLP modelling
Phenomenological modelling
Predictive intake modelling
Predictive modelling
Scale modelling
Simulation
Software modelling
Solid modelling
Space mapping
Statistical model
Stochastic modelling (insurance)
Surrogate model
System architecture
System dynamics
Systems modelling
System-level modelling and simulation
Water quality modelling
[Statistical model - Wikipedia](https://en.wikipedia.org/wiki/Statistical_model)
[All models are wrong - Wikipedia](https://en.wikipedia.org/wiki/All_models_are_wrong)
[Decision field theory - Wikipedia](https://en.wikipedia.org/wiki/Decision_field_theory)
Fusion explained [x.com](https://twitter.com/Andercot/status/1782888362757558549)
[Physics Experiments Spell Doom for Quantum ‘Collapse’ Theory | Quanta Magazine](https://www.quantamagazine.org/physics-experiments-spell-doom-for-quantum-collapse-theory-20221020/?fbclid=IwZXh0bgNhZW0CMTEAAR1CKljB88xv-u08ZknOTeGEtat_lGU9lQbU00Svqg2ovBUqj9dFO9lgqY8_aem_AeEr61Akxjke9dbZWPy4UhjenDhf5EbhPmpo6rYEeUUKZKwR8l9TJ9UFD8BltzMvrUg9asMMq5i-RLFcSB-ZdsvW)
https://arxiv.org/abs/2404.14387
[How To Build An Emergent Spacetime In The Laboratory | Discover Magazine](https://www.discovermagazine.com/the-sciences/how-to-build-an-emergent-spacetime-in-the-laboratory?utm_campaign=organicsocial&utm_content=%F0%9F%97%84%EF%B8%8F_from_the_archive%3A_unlo&utm_medium=social&utm_source=facebook&fbclid=IwZXh0bgNhZW0CMTEAAR3zOvpqHNfBUBF27dowD0XY998xipT2OwlsCGm_vVF_1oXvbm0qsFgQ948_aem_AeFh9Jqr5FzRJgqwuaDb0poTbVJXn6crk-dSAbdhIym9ecbiVMM3fblUmRmNgAfudn5ZvT0YGSc6RqdPEQicWVK2)
https://www.cell.com/neuron/fulltext/S0896-6273%2824%2900238-1
[Stanislas Dehaene - Symbols and languages: A hypothesis about human singularity - YouTube](https://m.youtube.com/watch?si=zJQ5Fp4kQHfdjOSj&fbclid=IwZXh0bgNhZW0CMTEAAR3Lindi76twYYGTbmoe6KqkwH5SP752wiSJYe5_pc2sJgq3POl2ymKkgEo_aem_AeGcUMpy8slS9znY0a-vzyU_QjMIKDNVkJ2K-gY8sDv5IR9oqa2T0AfXqAmWVY4z7Ezy7gPQN05_2SABs4JYsHKV&v=YxHLpb_urUk&feature=youtu.be)
"Jo, LLMs trénovaný imitací jsou pořád celkem malá podmnožina všech typů ML systémů co se zkouší co má svý výhody a nevýhody. Teď se pomalu a jistě rozšiřují do jiných modalit, přidávají se různý jiný trénovací mechanismy než je imitace tam kde to jde, zkouší se upravovat architektura nebo celkově předělávat. V tom vidím větší naději.
Ale argumentoval bych, že dosavadní LLMs v různých hybridních systémech už nový vědění v nějakých kontextech generují, díky tomu že neuronky generalizují alespoň lokálně slabě (což jde různě zlepšovat) jako je např FunSearch co pomohl v najít nový výsledek v matice [FunSearch: Making new discoveries in mathematical sciences using Large Language Models - Google DeepMind](https://deepmind.google/discover/blog/funsearch-making-new-discoveries-in-mathematical-sciences-using-large-language-models/) , nebo je spousta různých jiných LLM augmented systémů co pomohli najít nový výsledky.
Ale těch ML přístupů, co objevují různý nový řešení různých problémů nebo mají lepší reasoning v různých doménách, je celkem hodně, jako např klasický AlphaFold, nebo různý grafový neurální sítě, nebo co nepoužívají klasický neuronky vůbec, nebo co jsem zmínil u komentáře Petera Kolby.
Ještě je dost co udělat pro:
1 - Generalization.
2 - Continuous learning.
3 - Data & compute efficiency.
4 - Reliability.
5 - Causal modeling."
What's the theory of all theory?
"There is no single, universally accepted "theory of all theories" that encompasses and explains all other theories. However, there are some overarching concepts and frameworks that attempt to provide a unified understanding of various theories across different fields:
1. General Systems Theory: This interdisciplinary approach, developed by Ludwig von Bertalanffy, aims to understand the principles and laws that govern the behavior of complex systems, regardless of their specific components or the field of study.
2. Metatheory: Metatheory is the study of theories, their structures, and the principles that guide their development. It examines the underlying assumptions, methodologies, and implications of theories across various disciplines.
3. Consilience: Proposed by biologist E. O. Wilson, consilience is the idea that all branches of knowledge, including the sciences and humanities, are ultimately connected and can be integrated into a unified framework of understanding.
4. Interdisciplinarity: This approach emphasizes the importance of crossing disciplinary boundaries and integrating knowledge from various fields to develop more comprehensive and holistic theories.
5. Unification: In physics, the concept of unification seeks to combine the fundamental forces of nature (gravity, electromagnetism, strong nuclear force, and weak nuclear force) into a single, coherent theoretical framework, often referred to as the "Theory of Everything" (ToE).
While these concepts provide valuable insights into the nature and development of theories, there is currently no single, all-encompassing "theory of all theories" that is widely accepted across all fields of study."
[Simple probes can catch sleeper agents \ Anthropic](https://www.anthropic.com/research/probes-catch-sleeper-agents)
https://www.amazon.com/Quest-Artificial-Intelligence-Nils-Nilsson-ebook/dp/B00E3URBJQ/
https://scienceblog.com/543923/bursts-of-beta-rhythms-in-the-brain-hold-the-key-to-understanding-cognition-scientists-argue/
polymathic ai
spreading technooptimism [Abundance Institute](https://abundance.institute/)
[Profluent](https://www.profluent.bio/)
recursive selfimprovement [x.com](https://twitter.com/iamgingertrash/status/1782917758377979937?t=jrAD_uLgvx-4_E8ok2B9sw&s=19)
distributed AI computing [x.com](https://twitter.com/PrimeIntellect/status/1782772983712379328)
[Prime Intellect - Commoditizing Compute & Intelligence](https://primeintellect.ai)
[GitHub - Shenggan/awesome-distributed-ml: A curated list of awesome projects and papers for distributed training or inference](https://github.com/Shenggan/awesome-distributed-ml)
https://arxiv.org/abs/2404.10642
Ai models landscape [x.com](https://twitter.com/chiefaioffice/status/1782799567689232764?t=qE9mWlMX_yeQgnf5Wb0yfA&s=19)
[The One Thing Our Brains Rely on to Generate New Ideas | TIME](https://time.com/6549514/brain-randomness-creativity-essay/)
https://arxiv.org/abs/1611.01576
assuming quantumness and perfect copying of all of brain's quantum information is needed to replicate individual mind then no cloning theorem from quantum mechanics breaks the possibility of mind upload [No-cloning theorem - Wikipedia](https://en.wikipedia.org/wiki/No-cloning_theorem)
but maybe mind, if physical in the first place, is on a different level of abstraction, and perfect copying wont be needed
alternatively this may work: [Quantum teleportation - Wikipedia](https://en.wikipedia.org/wiki/Quantum_teleportation) (doesnt violate no cloning theorem as original quantum information of the first entagled system being teleported gets destroyed by measurement for reconstruction of the first state in the other state, and doesnt violate speed of light limit as classical information needs to be transferred from one place to another after the measurement for reconstruction of the first state in the other state (no communication theorem is not violated))
the fact that our best approximation of universe's operating system's structure are these complex number valued wave functions that create bizarre interference patterns and other unintuitive mathematical properties is fascinating [Quantum Wave Function Visualization - YouTube](https://www.youtube.com/watch?v=KKr91v7yLcM)
tohle je taky super série matiky za tím [Ch 13: Where does the Schrödinger equation come from? | Maths of Quantum Mechanics - YouTube](https://www.youtube.com/watch?v=KmFG_QNSZzA&list=PL8ER5-vAoiHAWm1UcZsiauUGPlJChgNXC&index=13)
no cloning theorem funguje protože kdyby to neplatilo tak klonování rozbije to že sečtený pravděpodobnosti možností (pozice, momentum částic) naráz nebudou 1
[New Foundations is consistent – a difficult mathematical proof proved using Lean | Hacker News](https://news.ycombinator.com/item?id=40130924)
[New Foundations is consistent | Consistency of New Foundations](https://leanprover-community.github.io/con-nf//)
The 3 Body Problem Explored - Robin Hanson, Anders Sandberg & Joscha Bach [The 3 Body Problem Explored - Robin Hanson, Anders Sandberg & Joscha Bach - YouTube](https://www.youtube.com/watch?v=_iT7ZX0CSaw)
[April 2024 AICamp Boston meetup - Joscha Bach - Is the LLM the last invention we ever need to make? - YouTube](https://www.youtube.com/watch?v=w0SrO6Iyeds)
https://arxiv.org/abs/2404.14423
[x.com](https://twitter.com/Abelaer/status/1783088636751151367)
[Convolution as a Unifying Concept: Applications in Separation Logic, Interval Calculi, and Concurrency: ACM Transactions on Computational Logic: Vol 17, No 3](https://dl.acm.org/doi/10.1145/2874773)
[AI: Unlocking the Post-Human - David Pearce & James Hughes - YouTube](https://youtu.be/JS-3MRt05w8?si=8Zq1oMoQPEVqaZAb)
https://arxiv.org/abs/2312.04030
[MIT study reveals AI model that can predict future actions of human](https://interestingengineering.com/innovation/mit-ai-predict-human-actions)
[AI Starts to Sift Through String Theory’s Near-Endless Possibilities | Quanta Magazine](https://www.quantamagazine.org/ai-starts-to-sift-through-string-theorys-near-endless-possibilities-20240423/)
https://arxiv.org/abs/2404.15059
"We mostly believe the idea that most likely from some fundamental forces emerges everything we experience. But it might also be the case that from everything that we experience emerges the belief of the idea of fundamental forces. A correspondence.
The relations encoding emergence can be generalized to any relations.
You can take substructures and compare them with other substructures for example using typed category theoretical language.
The assumptions themselves encoding the properties of the relations can be put into the same language and compared in a similar way.
The language using the language itself can be compared with any other existing language.
The language itself can be further generalized to more metalanguages that can include or compare all other languages or other metalanguages. Any language can play with any other language with its machinery."
[x.com](https://twitter.com/burny_tech/status/1492706452292739073)
[EP 236 Gregg Henriques on Free Will vs Determinism - YouTube](https://www.youtube.com/watch?v=SGAGFamnSbU)
math is applied (formal) language (linguistics)?
human language is just information processing in biology?
XD
https://imgur.com/a/U2CN1nt
https://imgur.com/a/BM4njkE
dataset is everything [The “it” in AI models is the dataset. – Non_Interactive – Software & ML](https://nonint.com/2023/06/10/the-it-in-ai-models-is-the-dataset/)
[Apple releases new family of Open-source Efficient Language Models as AI work progresses - 9to5Mac](https://9to5mac.com/2024/04/24/apple-open-source-models-language/)
"Diverging from prior practices that only provide model weights and inference code, and pre-train on private datasets, our release includes the complete framework for training and evaluation of the language model on publicly available datasets, including training logs, multiple checkpoints, and pre-training configurations. We also release code to convert models to MLX library for inference and fine-tuning on Apple devices. This comprehensive release aims to empower and strengthen the open research community, paving the way for future open research endeavors."
[Create a Large Language Model from Scratch with Python – Tutorial - YouTube](https://www.youtube.com/watch?v=UU1WVnMk4E8) llm from scratch
[Top 5 AI Breakthroughs of 2023 (Explained) - YouTube](https://www.youtube.com/watch?v=hHMljFGw1HA)
the urge to dissapear from existence for a week and 25 hours a day implement all SotA LLM techniques from scratch
https://arxiv.org/abs/2404.14928
Bayesian Deep Multi-Agent Multimodal Reinforcement Learning for Embedded Systems in Games, Natural Language Processing and Robotics [OSF](https://osf.io/preprints/osf/sjrkh)
https://arxiv.org/abs/2404.10369
im for a superposition of closed, empty and open individualism at once
https://www.lesswrong.com/posts/3LuZm3Lhxt6aSpMjF/ai-regulation-is-unsafe#YP47CpcD3P7SYAt46
"Concerns over AI safety and calls for government control over the technology are highly correlated but they should not be.
There are two major forms of AI risk: misuse and misalignment. Misuse risks come from humans using AIs as tools in dangerous ways. Misalignment risks arise if AIs take their own actions at the expense of human interests.
Governments are poor stewards for both types of risk. Misuse regulation is like the regulation of any other technology. There are reasonable rules that the government might set, but omission bias and incentives to protect small but well organized groups at the expense of everyone else will lead to lots of costly ones too. Misalignment regulation is not in the Overton window for any government. Governments do not have strong incentives to care about long term, global, costs or benefits and they do have strong incentives to push the development of AI forwards for their own purposes.
Noticing that AI companies put the world at risk is not enough to support greater government involvement in the technology. Government involvement is likely to exacerbate the most dangerous parts of AI while limiting the upside."
"type theory vs homotopy type theory
Type theory and homotopy type theory (HoTT) are related but distinct areas of mathematics and computer science:
Type theory is a formal system that uses types to classify terms and expressions. It provides a foundation for constructive mathematics and is used in programming languages and proof assistants. Some key aspects of type theory include[4]:
- Types classify terms, similar to how sets contain elements
- Functions map between types
- Dependent types allow types to depend on terms
Homotopy type theory builds on type theory by interpreting types as spaces up to homotopy equivalence, as studied in homotopy theory. In HoTT[1][2][4]:
- Types correspond to topological spaces
- Equalities between terms correspond to paths in a space
- Proofs of equality between proofs correspond to homotopies between paths
This allows concepts from homotopy theory, like homotopy groups of spheres, to be expressed and reasoned about using the language of type theory. It also allows type theory to be used as an "internal language" for reasoning synthetically about homotopy theory and higher category theory.
Some potential advantages of HoTT as a foundation include avoiding issues like Russell's paradox in set theory, enabling computer-checkable proofs, and automatically deriving computational content from proofs[2][3]. However, HoTT is still an active area of research and has some limitations compared to set theory in terms of intuition and learning curve[3].
Citations:
[1] homotopy theory - Type vs. HoTT vs. Category vs. Topos [homotopy theory - Type vs. HoTT vs. Category vs. Topos - Mathematics Stack Exchange](https://math.stackexchange.com/questions/1883501/type-vs-hott-vs-category-vs-topos)
[2] Homotopy Type Theory: What is it? - MathOverflow [at.algebraic topology - Homotopy Type Theory: What is it? - MathOverflow](https://mathoverflow.net/questions/200369/homotopy-type-theory-what-is-it)
[3] Why Homotopy Type Theory can't replace Set Theory : r/math - Reddit [Reddit - Dive into anything](https://www.reddit.com/r/math/comments/ar30ly/why_homotopy_type_theory_cant_replace_set_theory/)
[4] Homotopy type theory - Wikipedia [Homotopy type theory - Wikipedia](https://en.wikipedia.org/wiki/Homotopy_type_theory)
[5] What is...homotopy type theory? - YouTube [What is...homotopy type theory? - YouTube](https://www.youtube.com/watch?v=gVx5KS0kuOg)
"
[The HoTT Game | Homotopy Type Theory](https://homotopytypetheory.org/2021/12/01/the-hott-game/)
Denormalize aging as disease of the past
AI x degrading upcycling plastics
https://www.chemistryworld.com/news/ai-engineered-enzyme-eats-entire-plastic-containers/4015620.article
[Meet The Plastic Eating Worms | Planet Fix | Is nature fighting back against plastic? 👀
These worms can eat plastic. Not only that, but they can digest it too. In the fifth and final episode of... | By BBC EarthFacebook](https://www.facebook.com/share/v/PyKnmjuQHE9wPN3Y/)
https://www.joe.co.uk/science/scientists-baffled-as-two-lifeforms-merge-in-once-in-a-billion-year-event-433306
Pokud vyřešíme něco jako neurosymboliku nebo RL selfplay na jazyce, pokud nějak kvantifikujeme obecnou reasoning ground truth
[How to Slow Aging (and even reverse it) - YouTube](https://youtu.be/QRt7LjqJ45k?si=8nYOKVElZ-0M2rjV)
[How to Slow Aging (and even reverse it) | How to Slow Aging (and even reverse it) | By VeritasiumFacebook](https://www.facebook.com/share/v/TckFXsF62gwFsMah/) aging
[How to Cure Aging – During Your Lifetime? - YouTube](https://youtu.be/MjdpR-TY6QU?si=SUUeoZZCk9EwUrXH)