Ellen Xu
18 followers · 9 following · 1777 views
on the atlas · 45
- I Am Waiting by Lawrence Ferlinghetti | Poetry Foundation3 savers
- Tulips by Sylvia Plath | Poetry Foundation3 savers
- The Law of Leaky Abstractions – Joel on Software11 savers
- Buckminster Fuller5 savers
- Inbox (1) - ellenjxu@gmail.com - Gmail11 savers
- The Universe in Verse – The Marginalian3 savers
- We just launched Curius: A browser extension for collaborative bookmarking, highlighting, and notetaking 🚀📚 : SideProject2 savers
- How To Do Less8 savers
- The Heilmeier Catechism9 savers
- The Bus Ticket Theory of Genius8 savers
- P versus NP problem2 savers
- Immunology for the Internet Age • Blog • urbit.org2 savers
- Santa Fe Institute1 savers
- 2016 Global Go To Think Tank Index Report1 savers
- This "amateur" programmer fought cancer with 50 Nvidia Geforce 1080Ti2 savers
- Open-endedness: The last grand challenge you’ve never heard of – O’Reilly5 savers
- AI for medicine is overhyped right now - by Dan Elton2 savers
- June Huh, High School Dropout, Wins the Fields Medal | Quanta Magazine24 savers
- Learning with not Enough Data Part 1: Semi-Supervised Learning | Lil'Log2 savers
- Self-supervised learning: The dark matter of intelligence2 savers
- Ozymandias by Percy Bysshe Shelley | Poetry Foundation7 savers
- The Rime of the Ancient Mariner (text of 1834) by… | Poetry Foundation2 savers
- Master Plan, Part Deux | Tesla2 savers
- How to Make the Universe Think for Us | Quanta Magazine1 savers
- Xerox Parc’s Engineers on How They Invented the Future—and How Xerox Lost It - IEEE Spectrum6 savers
- Zuse's Thesis - Zuse hypothesis - Algorithmic Theory of Everything - Digital Physics, Rechnender Raum (Computing Space, Computing Cosmos) - Computable Universe - The Universe is a Computer - Theory of Everything1 savers
- "The Leonardo da Vinci of our time" - Big Think1 savers
- Natural computing1 savers
- Creeper: The World’s First Computer Virus - Exabeam1 savers
- Tanenbaum–Torvalds debate1 savers
- attending to the other - by Jasmine Wang 🌱15 savers
- Longevity FAQ — Laura Deming14 savers
- The Rage of Research -14 savers
- Research as Understanding26 savers
- The AI Control Problem | the singularity is nearer2 savers
- I Spent 2 years Launching Tiny Projects | Tiny Projects2 savers
- Semi-Supervised Learning in Computer Vision | by Chingis Oinar | Becoming Human: Artificial Intelligence Magazine1 savers
- Why Transformers are Slowly Replacing CNNs in Computer Vision? | by Pranoy Radhakrishnan | Becoming Human: Artificial Intelligence Magazine1 savers
- You and Your Research82 savers
- Meditations On Moloch | Slate Star Codex36 savers
- Sam Altman30 savers
- Visual Information Theory -- colah's blog24 savers
- On caring19 savers
- NeRF: Neural Radiance Fields7 savers
- Philosophy of Mathematics (Stanford Encyclopedia of Philosophy)3 savers
highlights · 385
Given some initial seed set of axioms from a curious mathematician, could an algorithmic open-ended system continually produce interesting and surprising proofs?
Open-endedness: The last grand challenge you’ve never heard of – O’Reillythe power of nature is the power of creation, and it’s entirely encapsulated within the mystery of open-endedness
Open-endedness: The last grand challenge you’ve never heard of – O’ReillyThink about it computationally—evolution on Earth is like a single run of a single algorithm that invented all of nature.
Open-endedness: The last grand challenge you’ve never heard of – O’Reillythey first trained an EfficientNet (Tan & Le 2019) model as teacher to generate pseudo labels for 300M unlabeled images and then trained a larger EfficientNet as student to learn with both true labeled and pseudo labeled images
Learning with not Enough Data Part 1: Semi-Supervised Learning | Lil'LogDifferent augmented versions of the same sample should result in the same representation. Cross-view training in language modeling and multi-view learning in self-supervised learning all share the same motivation.
Learning with not Enough Data Part 1: Semi-Supervised Learning | Lil'LogThe challenge of the next few years may be to devise non-contrastive methods for latent-variable energy-based model that successfully produce good representations of image, video, speech, and other signals and yield top performance in downstream supervised tasks without requiring large amounts of labeled data
Self-supervised learning: The dark matter of intelligenceNon-contrastive methods applied to joint embedding architectures is possibly the hottest topic in SSL for vision at the moment
Self-supervised learning: The dark matter of intelligenceTo paraphrase Leo Tolstoy’s Anna Karenina: “Happy families are all alike; every unhappy family is unhappy in its own way.” This applies to any family of high-dimensional objects, it seems.
Self-supervised learning: The dark matter of intelligenceIn fact, we may never have techniques to represent suitable probability distributions over high-dimensional continuous spaces, such as the set of all possible video frames
Self-supervised learning: The dark matter of intelligencewe do not know how to efficiently represent uncertainty when we predict missing frames in a video or missing patches in an image
Self-supervised learning: The dark matter of intelligenceDespite promising early results, SSL has not yet brought about the same improvements in computer vision that we have seen in NLP
Self-supervised learning: The dark matter of intelligenceThe man hath penance done, And penance more will do.'
The Rime of the Ancient Mariner (text of 1834) by… | Poetry FoundationInstead of the cross, the Albatross About my neck was hung.
The Rime of the Ancient Mariner (text of 1834) by… | Poetry FoundationRound the decay Of that colossal Wreck, boundless and bare The lone and level sands stretch far away
Ozymandias by Percy Bysshe Shelley | Poetry FoundationScellier and Yoshua Bengio, a computer scientist at the University of Montreal, developed a unidirectional learning method called equilibrium propagation
How to Make the Universe Think for Us | Quanta Magazinethe brain learns in some other way than standard backpropagation. “The brain doesn’t work like this,” said Scellier. Neuron A communicates with neuron B, “but it’s only one-way.”
How to Make the Universe Think for Us | Quanta Magazinethe plate learned to classify handwritten digits correctly 87% of the time. The circuit and laser reached 93% and 97% accuracy, respectively
How to Make the Universe Think for Us | Quanta Magazine“We never compute 3.532 times 1.567 or something,” Scellier said. “It’s done, but implicitly, just by the laws of physics directly.”
How to Make the Universe Think for Us | Quanta MagazineA room might have trillions of trillions of air molecules bouncing around; that’s an impossible number of moving pieces for a computer to track in a full-fledged simulation of collisions, but the air itself has no trouble deciding how to behave from moment to moment.
How to Make the Universe Think for Us | Quanta MagazineMany physical systems can naturally do some computation way more efficiently or faster than a computer can
How to Make the Universe Think for Us | Quanta MagazineSomeone would decide that a certain thing was really important to do. They would start working on it, give some structure to it, and then try to convince other people to come whitewash this fence with them.
Xerox Parc’s Engineers on How They Invented the Future—and How Xerox Lost It - IEEE Spectrumthe search for the principles governing the universe and help advance the evolution of humanity in accordance with them ... finding ways of doing more with less to the end that all people everywhere can have more and more
Buckminster Fulleran experiment, to find what a single individual could contribute to changing the world and benefiting all humanity
Buckminster Fullers.[3][4] Recently it has been suggested that the whole universe is a quantum computer that computes its own behaviour.
Natural computinginformation is more fundamental than matter or energy. The Zuse-Fredkin thesis, dating back to the 1960s, states that the entire universe is a huge cellular automaton which continuously updates its rules
Natural computingRevisiting a thesis from above: "All tools for the individual and collective need to be architected around using cryptographic proofs to create stable high-trust havens in an otherwise zero-trust adversarial world."
Immunology for the Internet Age • Blog • urbit.orgDecentralized autonomous organizations, zero-knowledge cryptographic proofs, cryptocurrencies, proof-of-identity systems, and their as-yet-unborn kin represent the evolution of an immune system on top of the Darwinian churn of the legacy Internet
Immunology for the Internet Age • Blog • urbit.orgLinus's law: "given enough eyeballs, all bugs are shallow."
Immunology for the Internet Age • Blog • urbit.orginnate immune system responds non-specifically to pathogens. Any immune system must have a way of deciding what is me and what is not-me. Framed as an identity problem in a zero-trust environment
Immunology for the Internet Age • Blog • urbit.orgWhat cyberspace (and human culture writ broadly) needed was an immune system---and in good Darwinian form, such an immune system has been evolving before our eyes. An immune system formally consists of layers with increasing specificity: first surface barriers, then the innate immune system, and finally the adaptive immune system. The objective of the immune system is to protect the organism: in this case, human sociality and agency.
Immunology for the Internet Age • Blog • urbit.orgThe psychological (memetic) virus problem is much greater than actual code viruses.
Immunology for the Internet Age • Blog • urbit.orgAlthough John von Neumann and others early explored the possibility of mathematical or code structures which could self-replicate, it was not until the Creeper virus in the 1970s that self-replicating code was observed in the wild
Immunology for the Internet Age • Blog • urbit.orgThe Internet evolved as a coordination mechanism---literally a nervous system incarnate in copper and silicon
Immunology for the Internet Age • Blog • urbit.orgA polymathic economist who I consider a mentor tells me he is especially intrigued when he meets someone who is clearly bright and sensitive but inarticulate, and I think of my friends who have downregulated their life force in an effort to be legible instead of remaining moths. How many beautiful and strange possible worlds are we on track still yet to lose?
attending to the other - by Jasmine Wang 🌱Philosophers like Yuk Hui trace this tendency to reduce the illegible other to a ‘resource’ to something deeply ingrained in Western cosmology itself, where man conceptualizes himself as apart from and independent of the world. The world is an ‘other’, a blank slate upon which his will is executed. Heidegger’s definition of technology was that it ‘revealed’ the world as a resource. This definition of technology, where humanity employs technology to ‘make use of’ the world, is predicated on an oppositional relationship between man and world. Hui is interested in how an Eastern cosmology might c…
attending to the other - by Jasmine Wang 🌱Language facilitates higher levels of attention.
attending to the other - by Jasmine Wang 🌱the primary responsibility is not to change the world but to understand, in contrast with the Humean lineage that describes the ethical agent as an actor, whose primary responsibility is to change the world
attending to the other - by Jasmine Wang 🌱You may have heard mitochondria referred to as the 'powerhouses' of the cell. It's funny, they do literally run like a dam generating hydroelectric power! - They pump protons (positively charged particles) one way, then use them as they slide back to run a kind of motor that makes a small energetic molecule used by many entities in the cell. One concept that comes up when people talk about mitochondria is 'oxidative stress'
Longevity FAQ — Laura Demingfertility takes away resources that could be used for something else
Longevity FAQ — Laura Demingeunuchs tend to live longer than their contemporaries by 14-19 years
Longevity FAQ — Laura DemingWhen one of your cells runs out of telomerase, it can't make many more copies of itself. If the cell sticks around, refuses to die even when it stops working, and starts secreting signals to the immune system, we call that a 'senescent cell'.
Longevity FAQ — Laura Demingyoung blood makes old mice healthier, but why?
Longevity FAQ — Laura Deminggenetic pathways related to growth and insulin signaling are linked to aging
Longevity FAQ — Laura DemingJust decreasing protein or a specific amino acid, while keeping total calorie intake the same, can result in a lifespan extension in mice
Longevity FAQ — Laura DemingEating less makes mice live longer.
Longevity FAQ — Laura Deming‘someone did a thing a while ago that was useful then but makes no sense now’.
The Rage of Research -Then there’s a gush of unceasing wonder when I realize I’ve now loaded a full new programming language into my brain and can fluidly manipulate concepts and compute things in a new realm of intellectual space.
The Rage of Research -this process of slowly feeling the inner workings of the universe come into focus, clicking into place, a blossoming of clarity suffusing, igniting the jungle of neurons traversing my mind, until I can finally see.
Research as UnderstandingAt some point, after having gone extraordinarily deep in an uncharted direction, they were each able to turn their understanding into an explanatory model, resulting in a tremendous novel discovery. While from the outside, we believe the discovery to be a magical eureka moment—an apple falling on Newton's head—from the inside, it feels more like a painstaking process of incrementally deeper understanding
Research as UnderstandingI was accidentally doing it because I was curious
Research as Understanding