Put all mathematical concepts, equations, theorems, structures, etc. you ever encountered on one gigantic canvas and go through it locally and globally and brainstorm various edits, mutations, expansions, similarities, connections, thinking out of the box, reformulations or novel structures etc. Working agents or burst Emerging superhuman intelligence is the universe developing into a higher being Let's become omniplanetary https://x.com/elonmusk/status/1832550322293837833 Fullbody strength training on caffine, creatine, protein, with Leopold's situational awareness of imminent superintelligence in first ear, Karpathy's GPT-2 from scratch in second ear, Stanford lectures on machine learning and transformers in third ear, Jeremy Howard's fastai practical deep learning for coders in fourth ear, Francois Chollet's algorithmic information theoretic model of general intelligence in fifth ear, Dive into Deep Learning in sixth ear, machine learning with pytorch and Sckit-learn in seventh ear, Deeplearning.AI's agentic LLM workflows in eighth ear, The AI Timeline, Latest AI Research Explained Simply in nineth ear, button down AI news in tenth ear, AI explained youtube channel in eleventh ear, bycloud AI news in twelveth ear, Wes Roth AI news in thirteenth ear, David Shapiro AI future in fourteenth ear, /r/singularity in fifteenth ear, /r/MachineLearning in sixteenth ear, /r/LocalLLaMA in seventeenth ear, Neel Nanda's reverse engineering of transformers in seventeenth ear, Arena mechanistic interpretability in eighteenth ear, hard industrial rock in nineteenth ear, hardstyle in twentyth ear, aggressive phonk in twentyfirst ear, hard acid techno in twentysecond ear, symphonic metal in twntythird ear, speedcore/breakcore/gabber/happy hardcore in twentyfourth ear, yearning for the infinite in twentyfifth ear Solving quantum gravity might reveal a glitch in the fabric of spacetime and fundamental particles and forces or strings or whatever is under all, that allows for arbitrary code execution exploit to edit or spawn arbitrary structure and laws! [https://www.youtube.com/watch?v=ESXOAJRdcwQ](https://www.youtube.com/watch?v=ESXOAJRdcwQ) We might have to transcend the mathematical concept of dimensions altogether in fundamental physics! https://x.com/burny_tech/status/1832895066467160469 Since there is topology studying geometric properties and spatial relations that are unaffected by continuous deformations, what would bottomology study? Stochastic metahypergraphs, selforganizing, shapeshifting across scales, and merging into different topological (in both general topology and engineering sense) configurations, with discrete and continuous parts, exploiting families of computational deterministic, stochastic and quantum physical substrates, states of matter, and materials, governed under nonequilibrium stochastic differential equations in semicentralized ways, computing under evolutionary ecosystem of emergent heterarchical interacting clusters of neurosymbolic metalearning architectures and algorithms, embeded in metaarchitecture, shapeshifting different symmetries and metasymmetries, shapeshifting from highly specialized computational and energy efficiency to fully general flexibility https://x.com/burny_tech/status/1832926817495244963?t=u_BVDgLGCDVUDsqR-ev-IA&s=19 Collect as many prompts that you would ask future much more intelligent models as possible that you can then ask the much more intelligent models when they come out to public in parallel New paper to anneal beautiful computational neuroscientific identity just dropped https://x.com/RubenLaukkonen/status/1832897101912768709?t=ESc4btCM0-HaZ8JqoJk1gA&s=19 [OSF](https://osf.io/daf5n/) A beautiful loop: An active inference theory of consciousness Meditation is about cultivating metaokayness Automate me harder daddy Webdev will fall first to AI when it comes to software [https://youtu.be/TBIjgBVFjVI](https://youtu.be/TBIjgBVFjVI) not countably, but uncountably infinite hypercomputing parallel timelines Symmetries is all you need Everything is mathematics She's as in love with symmetry as QRI is [https://www.youtube.com/watch?v=BHbeED51h6s](https://www.youtube.com/watch?v=BHbeED51h6s) Abstract all abstractions to abstract heavens https://x.com/fluxtheorist/status/1832848920948699339?t=X54AMEcUojAiyGyonFgn0w&s=19 Don't bash your infinite curiosity. Surrender to it. Pokud to není jen automatický spamování těch knih s nulovou production value všude na netu na farmení prachů co je objektivně horší než human made (někdy můžou být lepší než human made), ale reálná forma artistic expression někoho, nebo fact checked kniha nějakých faktů (i když, lidi taky často halucinujou ve svých knížkách na "fakty"), či jiný žánry co nejsou jen farmení prachů, tak AI generated knihy/obrázky/jiný medium jsou IMO great. Enforcoval bych, aby korporace hodně musely zákonově kompenzovat lidem a firmám apod., když použijí jejich public data získaný legálně na trénování komerčních modelů (a private data ne), podobně jako lidský oči mohou číst tyto data legálními způsoby, nebo aby peníze jinak redistribuovaly přes automationtax a UBI apod., ale zároveň AIčka se IMO učí dostatečně podobně, i když s pár rozdíly, jak lidi, že to spíš není copypaste stealing, jak to spousta lidí má tendenci vidět. (dynamika latentního prostoru je dost zajímavá!) (co se týče legálnosti trénovacích dat bych ještě např povolil SciHub, protože chci demokratizovat vědu a nesouhlasím s těmato publushing institucema okrádající vědce apod.) Diskuze tímto směrem v AI prostoru probíhají, ale relativně málo no, a snažím se to víc šířit. Je potřeba být kolem toho louder, volit relevantní politiky, (bohužel protože peníze jsou moc v politice, hlavně v Americe, kde jsou největší AI giganti) lobovat, nebo se sám/s nějakou skupinou to nějak snažit enforcnout. AI má potenciál tolika dobra, ale i tolika zla v rukou některých... [Google dostal rekordní pokutu přes dvě miliardy eur | iROZHLAS - spolehlivé zprávy](https://www.irozhlas.cz/zpravy-svet/google-pokuta-eu_2409101157_ako) [Apple must pay €13 billion in back taxes after losing final appeal - Ars Technica](https://arstechnica.com/tech-policy/2024/09/apple-must-pay-e13-billion-in-back-taxes-after-losing-final-appeal/) Hmm, to jde technicky vnímat jako část toho automationtax co jsem zmínil v předchozí zprávě XD ale teď jen aby ty prachy šly do kapes lidem a ne politikům Evropskounijský UBI by bylo interesting https://www.socialeurope.eu/towards-a-progressive-european-basic-income 👀 What are the most effective ways to make sure that the AI revolution benefits everyone and not just select few? https://x.com/burny_tech/status/1833618694905180162 If true, we will get smaller OpenAI GPT model before elections, and bigger model after elections🤔 [Reddit - The heart of the internet](https://www.reddit.com/r/singularity/comments/1fdr95u/the_only_credible_leaker_on_gpt45_and_gpt5/) [https://www.youtube.com/watch?v=uHWD8RSw4As](https://www.youtube.com/watch?v=uHWD8RSw4As) [China refuses to sign ban on AI controlling nuclear weapons | Fortune](https://fortune.com/2024/09/10/china-ai-ban-nuclear-weapons/) I'm trying to learn more math around machine learning but I keep gravitating to physics more lately. Which is good, because lots of machine learning math is also physics, like diffusion being statistical mechanics, or analyzing neural nets using statistical mechanics etc. learning physics is becoming one with the universe We live in a time where you can open a series of lectures or books on any math, science, engineering topic you wish for free anytime and absorb the best information from the intellectual giants of our times Just learn physics and you'll be good Math and physics is so magical in how such an explosion of so many equations, properties, theorems etc. pop out of just few axioms, definitions, and assumptions playing together (set theory, linear algebra, calculus, algebra, probability, conservation laws, symmetries, newton's equations, schrodinger equation, statistical mechanics,...) Claude: " I agree, the emergent complexity and richness that arises from relatively simple axioms and definitions in math and physics is truly fascinating. This phenomenon speaks to the deep interconnectedness and logical structure underlying these fields. In mathematics, for instance, the axioms of set theory or the Peano axioms for natural numbers serve as foundational building blocks. From these, we can derive an incredible array of mathematical structures, theorems, and entire branches of study. Similarly in physics, a handful of fundamental principles like conservation laws, symmetries, and basic equations (e.g., Newton's laws, Maxwell's equations, or the Schrödinger equation in their respective domains) give rise to our understanding of the entire physical universe, from the subatomic scale to the cosmic. This "explosive" generative power comes from: 1. Logical deduction: Rigorously applying rules of inference to derive new truths. 2. Abstraction: Identifying patterns and generalizing concepts. 3. Composition: Combining simpler ideas to form more complex ones. 4. Cross-pollination: Applying insights from one area to another. The beauty lies in how these simple starting points can lead to profound and often unexpected results. For example, who would have thought that the abstract study of symmetries in mathematics (group theory) would become crucial in understanding particle physics? It's a testament to the power of human reasoning and the underlying order of the universe that we can capture so much complexity with elegant, concise principles. This "unreasonable effectiveness of mathematics," as physicist Eugene Wigner put it, continues to drive discovery and spark wonder in scientists and mathematicians. Would you like to explore any specific examples of this phenomenon in math or physics? I'd be happy to delve deeper into how certain fundamental concepts lead to more complex ideas in a particular area. " Balance the braincell death and growth count by: First monitor: Trump x Kamala USA presidential debate Second monitor: Stanford lectures on quantum mechanics [Než budete pokračovat na YouTube](https://youtube.com/playlist?list=PL701CD168D02FF56F&si=ozz3nnIKwh7z3EVt) Much of education is already democratized, free and evenly distributed, but a lot of people aren't aware yet, and more has to be still democratized! GELU activation function adds in some gel to prevent dead neurons that ReLU suffers from you can grok the hardest things possible if you try hard enough even if that meant upgrading yourself using computer brain interface or other methods, as that's just one method of trying harder Selfishness korporací hejtím, a myslím si, že cyberpunk dystopie (korporátovládní) je bohužel nejpravděpodobnější budoucnost, když vidím, kde se moc úspěšně koncetruje. to mě děsí každej den a pořád hledám řešení bohužel pokud člověk nemá billióny peněz na lobbying nebo/a technologickou moc nebo/a politický kapitál nebo/a jiný nástroje na reorganizaci moci atd., tak moc nevím no, a často dobrý účely věci ještě zhorší když to někteří rádi zneužijí " We are accelerating towards immortality! I think there are already people on this planet today who will be immortal, but the first will be billionares. Longevity escape velocity extending remaining life expectancy faster than the time that is passing! https://x.com/burny_tech/status/1833999579161002442 Some maps and summaries of antiaging research: 1. Antiaging Strategies and Remedies: A Landscape of Research Progress and Promise: https://pubs.acs.org/doi/10.1021/acschemneuro.3c00532 2. We're Inching Closer to Answers for Why We Age and How to Slow Down the Clock: [We’re Inching Closer to Answers for Why We Age and How to Slow Down the Clock](https://singularityhub.com/2024/01/04/were-inching-closer-to-answers-for-why-we-age-and-how-to-slow-down-the-clock/) 3. Recent Advances in Anti-Aging Medicine: [Recent Advances in Anti-Aging Medicine - PMC](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768834/) 4. Bottlenecks of Aging: [Bottlenecks of Aging — Amaranth Foundation](https://amaranth.foundation/bottlenecks-of-aging) 5. Immortality roadmap: [MAIN](http://immortality-roadmap.com/) Some recent developments in antiaging research: 1. Mitochondria: A Potential Rejuvenation Tool against Aging: [Mitochondria: A Potential Rejuvenation Tool against Aging - PMC](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10917551/) (Youtube: [https://www.youtube.com/watch?v=XwsldM8KNzc](https://www.youtube.com/watch?v=XwsldM8KNzc) ) 2. A One-and-Done Injection to Slow Aging? New Study in Mice Opens the Possibility senolytic theraphy: [A One-and-Done Injection to Slow Aging? New Study in Mice Opens the Possibility](https://singularityhub.com/2024/02/05/a-one-and-done-injection-to-slow-aging-new-study-in-mice-opens-the-possibility/) 3. Longevity Breakthrough: New Treatment Reverses Multiple Hallmarks of Aging restoring telomerase enzyme: https://scitechdaily.com/longevity-breakthrough-new-treatment-reverses-multiple-hallmarks-of-aging/ 4. Life span increases in mice when specific brain cells are activated: [Life span increases in mice when specific brain cells are activated – WashU Medicine](https://medicine.wustl.edu/news/life-span-increases-in-mice-when-specific-brain-cells-are-activated/) " The fact that some mathematical theorems work in the first place is often so unintuitive Quantum superposition of mutually exclusive ontological states matika neurálek je 10000000 zjednodušení za minutu matematicky absolutní hereze but it works XD příjde mi cool, že forma tý Xavier inicializace není empirical guessing, ale actually je za tím nějaká matematická derivace :D Implementační detaily jako float32 se moc neřeší v tom co teď myslím (ale jinak se řeší pro precision, velikost, a rychlost, to jo, ale není to ten důvod), teď mám hlavně na mysli: "Modern deep learning algorithms were not designed in order to have a nice mathematical theory nor were they designed to be particularly interpretable or understandable. They were instead designed to perform well while the inner workings of the neural network are mostly regarded as a black box. In practice, neural networks tend to be a hodgepodge of techniques (such as convolutional layers, regularization, normalization, various activation functions, etc.) that experimentally work well for data in a specific format rather than a unified structure that mathematicians can prove theorems about. I think that this is not a good thing as we need to be more focused on AI safety/interpretability than simply performance." [soft question - A clear map of mathematical approaches to Artificial Intelligence - MathOverflow](https://mathoverflow.net/questions/460130/a-clear-map-of-mathematical-approaches-to-artificial-intelligence) Např mechanistic interpretability (reverse engineering neuronek) [https://www.youtube.com/watch?v=veT2VI4vHyU](https://www.youtube.com/watch?v=veT2VI4vHyU) nebo singular learning theory (jeden z pokusů o mathematical model) se to snaží dohnat [Singular Learning Theory - AI Alignment Forum](https://www.alignmentforum.org/s/mqwA5FcL6SrHEQzox) " New OpenAI o1 preview AI model destroys Anthropic Claude 3.5 Sonnet on reasoning, mathematics, data analysis, and language! But OpenAI o1 mini is even better at reasoning than OpenAI o1 preview? But Anthropic Claude 3.5 Sonnet still wins over o1 preview in coding? With OpenAI GPT-4o being second, and then OpenAI o1 preview. But on code generation, OpenAI o1 mini is first, then Anthropic Claude 3.5 Sonnet, and then OpenAI o1 preview. And on instruction following, Meta Llama 3.1 Instruct Turbo, both 70b and 405b, and Google Gemini 1.5 Pro Exp 0801, are in front of OpenAI o1 preview? I wonder how would full fat OpenAI o1 nonpreview version do. I suspect it would crush all benchmarks including coding! These are LiveBench benchmarks. " Nerdsnipe me harder daddy The holy reasoning war of nerds " The new OpenAI o1 model still struggling to reason out of distribution (Simple-bench benchmark, ARC benchmark, still problems with some famous puzzles, etc.) makes me think that we will get much better AI models once we figure out much more robust (hardcoded or emergent) first principles reasoning (in hierarchies and graphs and so on), instead of retrieving and synthesizing sometimes brittle weakly generalizing reasoning program chunks from the training data. Maybe scale, better training data and training hacks will cause the emergence general enough, robust enough, all-encompassing enough reasoning engine that will eventually phase shift into first principles reasoning metastable configuration of weights. " What strawberry is https://x.com/cto_junior/status/1833907296482754702 My feed is full of people praising o1 for being much better in math than previous models! I didn't believe LLMs can get so much better in math! I was wrong, once again! Do not underestimate the bitter God of Scale and AlphaZero-like RL! And we have not reached the peak of inference time compute scaling laws! Future will be interesting! Looking towards to more progress in AI x math! https://x.com/burny_tech/status/1834748815913398462 Some people are in such an insane denial about current AI. It's crazy. But I emphasize. Too many people "define" intelligence by just behavioral subjective vibes instead of defining it by some rigorous scientific mathematical engineering definition that you can measure and localize concretely like Chollet's that actually isn't worthless scientifically. [[1911.01547] On the Measure of Intelligence](https://arxiv.org/abs/1911.01547) THERE IS NO PLATEAUING! WE'RE JUST GETTING STARTED WITH O1, ALPHAPROOF AND SIMILAR NEW AI SYSTEMS! What have you done for the retrocausal computronium God today? What is measurement on the fundamental level? The whole universe is global giant wave function system, with internal pocket subsystems of local classical wave functions and other equations, and quantum wave functions, that collapse eachother by decohering by interacting and averaging. Quantum fields from standard model quantum field theory, maybe emergent from strings, or loops, causal sets, etc., are fundamental to reality. Matter and forces are particle excitations in these fields, described by schrodinger equation from quantum mechanics. These fields live in spacetime and how matter with energy bends it is expressed as gravity, described by general relativity. These particles can be quantum, in superpositions or entangled, or classical. Together through composition they form more complex systems, that are more quantum or more classical. When these systems interact, they measure and decohere eachother and become more classical. More complex systems that are less isolated tend to be more classical as result. More complex systems achieve emergent higheorder laws on bigger scales like other physics, chemistry, biology and so on.