corpus.blog
41554 blogs · [ { "id": "01a08784-8f7c-70d4-88e7-9080ab0dd303", "title": "Collections: So You Want To Go To Grad School (in the Academic Humanities)?", "url": "https://hugocisneros.com/bookmarks/collectionssoyouwanttogotogradschoolintheacademichumanities/", "published_at": "2021-10-05T15:16:34+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080abf50afb", "title": "Gentle introduction to GPUs inner workings", "url": "https://hugocisneros.com/bookmarks/gentleintroductiontogpusinnerworkings/", "published_at": "2021-10-05T15:12:03+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080acc1af5e", "title": "Shaded relief maps in blender", "url": "https://hugocisneros.com/bookmarks/shadedreliefmapsinblender/", "published_at": "2021-10-05T09:15:52+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080ad2a7b59", "title": "A Computer In The Game Of Life", "url": "https://hugocisneros.com/bookmarks/acomputerinthegameoflife/", "published_at": "2021-10-04T09:18:55+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080ad5e7412", "title": "Graph compression", "url": "https://hugocisneros.com/notes/graph_compression/", "published_at": "2021-09-30T12:47:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080adb4c351", "title": "Neural networks as dynamical systems", "url": "https://hugocisneros.com/notes/neural_networks_as_dynamical_systems/", "published_at": "2021-09-30T12:46:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080ae6e06b8", "title": "Learning in dynamical systems", "url": "https://hugocisneros.com/notes/learning_in_dynamical_systems/", "published_at": "2021-09-30T10:56:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080ae87113a", "title": "Tropical semiring", "url": "https://hugocisneros.com/notes/tropical_semiring/", "published_at": "2021-09-30T10:36:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080af55d785", "title": "On Solitude", "url": "https://hugocisneros.com/bookmarks/onsolitude/", "published_at": "2021-09-27T21:36:15+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080afcd6e35", "title": "How to Train Really Large Models on Many GPUs?", "url": "https://hugocisneros.com/bookmarks/howtotrainreallylargemodelsonmanygpus/", "published_at": "2021-09-27T15:31:24+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b0c6b4dc", "title": "Asymmetric numeral systems in Rust", "url": "https://hugocisneros.com/projects/asymmetric_numeral_systems_rust/", "published_at": "2021-09-27T07:49:45+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b1b6164c", "title": "Logics as categories", "url": "https://hugocisneros.com/bookmarks/logicsascategories/", "published_at": "2021-09-26T19:28:40+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b2253f69", "title": "Arithmetic coding", "url": "https://hugocisneros.com/notes/arithmetic_coding/", "published_at": "2021-09-23T07:07:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b287f5d9", "title": "Blue noise", "url": "https://hugocisneros.com/notes/blue_noise/", "published_at": "2021-09-23T07:07:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b31e2cc3", "title": "Entropy coding", "url": "https://hugocisneros.com/notes/entropy_coding/", "published_at": "2021-09-23T06:50:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b411c587", "title": "Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts", "url": "https://hugocisneros.com/bookmarks/modernevolutionstrategiesforcreativityfittingconcreteimagesandabstractconcepts/", "published_at": "2021-09-22T20:53:22+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b421045f", "title": "Emergence", "url": "https://hugocisneros.com/bookmarks/emergence/", "published_at": "2021-09-21T15:18:09+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b425c9a5", "title": "The Truth, by Stanisław Lem", "url": "https://hugocisneros.com/bookmarks/thetruthbystanis%C5%82awlem/", "published_at": "2021-09-21T08:46:33+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b4c04b84", "title": "Poincaré recurrence time", "url": "https://hugocisneros.com/notes/poincare_recurrence_time/", "published_at": "2021-09-14T20:50:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b542c600", "title": "Monero", "url": "https://hugocisneros.com/notes/monero/", "published_at": "2021-09-14T20:05:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b5fd0236", "title": "Ring signatures", "url": "https://hugocisneros.com/notes/ring_signatures/", "published_at": "2021-09-14T20:01:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b61e304d", "title": "Welcome … — Physics-based Deep Learning", "url": "https://hugocisneros.com/bookmarks/welcomephysicsbaseddeeplearning/", "published_at": "2021-09-13T08:07:16+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b622beeb", "title": "Cellular automata as recurrent neural networks", "url": "https://hugocisneros.com/notes/cellular_automata_as_recurrent_neural_networks/", "published_at": "2021-09-06T14:06:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b6361c3f", "title": "Fast Rust Builds", 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(2021)", "url": "https://hugocisneros.com/notes/xiongnystromformernystr2021/", "published_at": "2021-09-02T10:52:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b7e50424", "title": "Graph neural networks", "url": "https://hugocisneros.com/notes/graph_neural_networks/", "published_at": "2021-09-02T10:49:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b83e4e8a", "title": "Notes on: The information theory of individuality by Krakauer, D., Bertschinger, N., Olbrich, E., Flack, J. C., & Ay, N. (2020)", "url": "https://hugocisneros.com/notes/krakauerinformationtheoryindividuality2020/", "published_at": "2021-09-02T10:46:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b8b0acd7", "title": "Notes on: Growing Neural Cellular Automata by Mordvintsev, A., Randazzo, E., Niklasson, E., & Levin, M. (2020)", "url": "https://hugocisneros.com/notes/mordvintsevgrowingneuralcellular2020/", "published_at": "2021-09-01T15:31:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b932ed23", "title": "Cellular automata as convolutional neural networks", "url": "https://hugocisneros.com/notes/cellular_automata_as_cnns/", "published_at": "2021-09-01T15:30:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080b981bcac", "title": "Computing in cellular automata", "url": "https://hugocisneros.com/notes/computing_in_cellular_automata/", "published_at": "2021-09-01T15:30:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080ba2a1892", "title": "Epsilon machines", "url": "https://hugocisneros.com/notes/epsilon_machines/", "published_at": "2021-09-01T15:30:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080bb1c30cf", "title": "Style transfer", "url": "https://hugocisneros.com/notes/style_transfer/", "published_at": "2021-09-01T15:30:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080bb4e189b", "title": "How to evenly distribute points on a sphere more effectively than the canonical Fibonacci Lattice", "url": "https://hugocisneros.com/bookmarks/howtoevenlydistributepointsonaspheremoreeffectivelythanthecanonicalfibonaccilattice/", "published_at": "2021-08-31T11:31:19+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080bbad3960", "title": "Notes on: Reservoir Computing meets Recurrent Kernels and Structured Transforms by Dong, J., Ohana, R., Rafayelyan, M., & Krzakala, F. 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(1972)", "url": "https://hugocisneros.com/notes/andersonmoredifferent1972/", "published_at": "2021-05-16T12:37:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d054742b", "title": "Emergence in artificial life", "url": "https://hugocisneros.com/notes/emergence_in_artificial_life/", "published_at": "2021-05-16T12:23:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d1348e28", "title": "Things you can’t do in Rust (and what to do instead)", "url": "https://hugocisneros.com/bookmarks/thingsyoucantdoinrustandwhattodoinstead/", "published_at": "2021-05-15T14:56:56+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d201a8c2", "title": "Notes on: Hopfield Networks is All You Need by Ramsauer, H., Schäfl, B., Lehner, J., Seidl, P., Widrich, M., Gruber, L., Holzleitner, M., … (2020)", "url": "https://hugocisneros.com/notes/ramsauerhopfieldnetworksall2020/", "published_at": "2021-05-05T14:26:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d287c702", "title": "Lempel-Ziv-Welch algorithm", "url": "https://hugocisneros.com/notes/lempel_ziv_welch_algorithm/", "published_at": "2021-05-04T07:22:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d2d826b0", "title": "CSS Tips", "url": "https://hugocisneros.com/bookmarks/csstips/", "published_at": "2021-04-26T21:26:40+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d32629e2", "title": "Notes on: Generalization over different cellular automata rules learned by a deep feed-forward neural network by Aach, M., Goebbert, J. H., & Jitsev, J. (2021)", "url": "https://hugocisneros.com/notes/aachgeneralizationdifferentcellular2021/", "published_at": "2021-04-26T18:53:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d40ffdcc", "title": "Generalization in Machine learning", "url": "https://hugocisneros.com/notes/generalization_in_machine_learning/", "published_at": "2021-04-23T09:26:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d4543303", "title": "Notes on: AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence by Clune, J. (2019)", "url": "https://hugocisneros.com/notes/cluneaigasaigeneratingalgorithms2019/", "published_at": "2021-04-23T09:13:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d4a39955", "title": "Inigo Quilez", "url": "https://hugocisneros.com/bookmarks/inigoquilez/", "published_at": "2021-04-22T08:54:34+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d535ba0f", "title": "Matrix factorization", "url": "https://hugocisneros.com/notes/matrix_factorization/", "published_at": "2021-04-21T13:34:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d60dc24c", "title": "Attractor networks", "url": "https://hugocisneros.com/notes/attractor_networks/", "published_at": "2021-04-19T09:24:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d6bc1b17", "title": "Boolean networks", "url": "https://hugocisneros.com/notes/boolean_networks/", "published_at": "2021-04-16T12:46:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d719ce5c", "title": "Avida", "url": "https://hugocisneros.com/notes/avida/", "published_at": "2021-04-12T12:57:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d785e7e9", "title": "Hash functions", "url": "https://hugocisneros.com/notes/hash_functions/", "published_at": "2021-04-12T12:57:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d86dd02b", "title": "Illegal numbers", "url": "https://hugocisneros.com/notes/illegal_numbers/", "published_at": "2021-04-12T12:29:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d8ba994d", "title": "Egyptologist Zahi Hawass Announces Discovery of Lost ‘Golden’ City in Luxor", "url": "https://hugocisneros.com/bookmarks/egyptologistzahihawassannouncesdiscoveryoflostgoldencityinluxor/", "published_at": "2021-04-11T09:39:16+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d8ff26fb", "title": "The Bitter Lesson", "url": "https://hugocisneros.com/notes/the_bitter_lesson/", "published_at": "2021-04-08T08:35:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080d96b402d", "title": "Richard Sutton", "url": "https://hugocisneros.com/notes/richard_sutton/", "published_at": "2021-04-08T07:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080da3a40ff", "title": "Writing tools I learned from The Economist", "url": "https://hugocisneros.com/bookmarks/writingtoolsilearnedfromtheeconomist/", "published_at": "2021-04-05T22:08:42+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080db02bce7", "title": "Why Computers Won’t Make Themselves Smarter", "url": "https://hugocisneros.com/bookmarks/whycomputerswontmakethemselvessmarter/", "published_at": "2021-04-05T08:28:23+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080dbdbdb6e", "title": "Note-taking", "url": "https://hugocisneros.com/notes/note_taking/", "published_at": "2021-03-29T12:49:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080dc6b0e55", "title": "Notes on: Intelligence without representation by Brooks, R. A. (1991)", "url": "https://hugocisneros.com/notes/brooksintelligencerepresentation1991/", "published_at": "2021-03-29T12:35:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080dc7e69b6", "title": "Notes on: The geometry of integration in text classification RNNs by Aitken, K., Ramasesh, V. V., Garg, A., Cao, Y., Sussillo, D., & Maheswaranathan, N. (2020)", "url": "https://hugocisneros.com/notes/aitkengeometryintegrationtext2020/", "published_at": "2021-03-25T09:20:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080dc95d27e", "title": "Computer security", "url": "https://hugocisneros.com/notes/computer_security/", "published_at": "2021-03-25T08:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080dd83e6d2", "title": "CPPN", "url": "https://hugocisneros.com/notes/cppn/", "published_at": "2021-03-25T08:58:00+00:00" }, { "id": "01a08784-8f7c-70d4-88e7-9080de19a1a9", "title": "Diffusion limited aggregation", "url": "https://hugocisneros.com/notes/diffusion_limited_aggregation/", "published_at": "2021-03-25T08:58:00+00:00" } ] posts Claim your blog
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2021

Collections: So You Want To Go To Grad School (in the Academic Humanities)?original ↗
5 Oct 2021
Gentle introduction to GPUs inner workingsoriginal ↗
5 Oct 2021
Shaded relief maps in blenderoriginal ↗
5 Oct 2021
A Computer In The Game Of Lifeoriginal ↗
4 Oct 2021
Graph compressionoriginal ↗
30 Sept 2021
Neural networks as dynamical systemsoriginal ↗
30 Sept 2021
Learning in dynamical systemsoriginal ↗
30 Sept 2021
Tropical semiringoriginal ↗
30 Sept 2021
On Solitudeoriginal ↗
27 Sept 2021
How to Train Really Large Models on Many GPUs?original ↗
27 Sept 2021
Asymmetric numeral systems in Rustoriginal ↗
27 Sept 2021
Logics as categoriesoriginal ↗
26 Sept 2021
Arithmetic codingoriginal ↗
23 Sept 2021
Blue noiseoriginal ↗
23 Sept 2021
Entropy codingoriginal ↗
23 Sept 2021
Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Conceptsoriginal ↗
22 Sept 2021
Emergenceoriginal ↗
21 Sept 2021
The Truth, by Stanisław Lemoriginal ↗
21 Sept 2021
Poincaré recurrence timeoriginal ↗
14 Sept 2021
Monerooriginal ↗
14 Sept 2021
Ring signaturesoriginal ↗
14 Sept 2021
Welcome … — Physics-based Deep Learningoriginal ↗
13 Sept 2021
Cellular automata as recurrent neural networksoriginal ↗
6 Sept 2021
Fast Rust Buildsoriginal ↗
5 Sept 2021
Reductionismoriginal ↗
3 Sept 2021
Notes on: Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention by Xiong, Y., Zeng, Z., Chakraborty, R., Tan, M., Fung, G., Li, Y., & Singh, V. (2021)original ↗
2 Sept 2021
Graph neural networksoriginal ↗
2 Sept 2021
Notes on: The information theory of individuality by Krakauer, D., Bertschinger, N., Olbrich, E., Flack, J. C., & Ay, N. (2020)original ↗
2 Sept 2021
Notes on: Growing Neural Cellular Automata by Mordvintsev, A., Randazzo, E., Niklasson, E., & Levin, M. (2020)original ↗
1 Sept 2021
Cellular automata as convolutional neural networksoriginal ↗
1 Sept 2021
Computing in cellular automataoriginal ↗
1 Sept 2021
Epsilon machinesoriginal ↗
1 Sept 2021
Style transferoriginal ↗
1 Sept 2021
How to evenly distribute points on a sphere more effectively than the canonical Fibonacci Latticeoriginal ↗
31 Aug 2021
Notes on: Reservoir Computing meets Recurrent Kernels and Structured Transforms by Dong, J., Ohana, R., Rafayelyan, M., & Krzakala, F. (2020)original ↗
30 Aug 2021
``You and Your Research''original ↗
30 Aug 2021
Differential equationsoriginal ↗
30 Aug 2021
Softmaxoriginal ↗
27 Aug 2021
Notes on: Learned Initializations for Optimizing Coordinate-Based Neural Representations by Tancik, M., Mildenhall, B., Wang, T., Schmidt, D., Srinivasan, P. P., Barron, J. T., & Ng, R. (2021)original ↗
25 Aug 2021
Meta-learningoriginal ↗
25 Aug 2021
Notes on: Pretrained Transformers as Universal Computation Engines by Lu, K., Grover, A., Abbeel, P., & Mordatch, I. (2021)original ↗
25 Aug 2021
Notes on: Thinking Like Transformers by Weiss, G., Goldberg, Y., & Yahav, E. (2021)original ↗
25 Aug 2021
System of linear equationsoriginal ↗
24 Aug 2021
[Algo] Rolling hash; Rabin-Karp string searchoriginal ↗
24 Aug 2021
Hiding Images in Plain Sight: The Physics Of Magic Windowsoriginal ↗
24 Aug 2021
Knuth-Morris-Pratt string-searching algorithmoriginal ↗
24 Aug 2021
Neural cellular automata and implicit representationsoriginal ↗
20 Aug 2021
Wigner Crystalsoriginal ↗
16 Aug 2021
Nail Your Startup Pitch: Use Pixar's Story Formula to Win Over Investorsoriginal ↗
15 Aug 2021
CS 269I: Incentives in Computer Scienceoriginal ↗
10 Aug 2021
How Watches Work: What Is An Automatic Watch And What Different Types Of Winding Weights Are There?original ↗
10 Aug 2021
My Org Roam Notes Workfloworiginal ↗
5 Aug 2021
Open-ended creation of hybrid creatures with Neural Cellular Automataoriginal ↗
4 Aug 2021
Notes on: Emergence in artificial life by Gershenson, C. (2021)original ↗
3 Aug 2021
Locality-Sensitive Hashingoriginal ↗
24 Jun 2021
Useful and Useless Code Commentsoriginal ↗
18 Jun 2021
Modulinos In Bashoriginal ↗
16 Jun 2021
Zuse's thesisoriginal ↗
15 Jun 2021
Untapped potential in Rust's type systemoriginal ↗
14 Jun 2021
Distillationoriginal ↗
14 Jun 2021
Transfer learningoriginal ↗
14 Jun 2021
Automated theorem provingoriginal ↗
14 Jun 2021
Genetic algorithmsoriginal ↗
14 Jun 2021
Alternative learning mechanismsoriginal ↗
14 Jun 2021
Drug Users Use A Lot Of Drugsoriginal ↗
10 Jun 2021
Let’s Build a Regex Engineoriginal ↗
27 May 2021
wwwtyro.netoriginal ↗
24 May 2021
How to look at the stack with gdboriginal ↗
20 May 2021
Cellular automataoriginal ↗
19 May 2021
You Could Have Invented Monads! (And Maybe You Already Have.)original ↗
19 May 2021
Roam researchoriginal ↗
18 May 2021
Org-modeoriginal ↗
18 May 2021
Church-Turing thesisoriginal ↗
16 May 2021
Notes on: More Is Different by Anderson, P. W. (1972)original ↗
16 May 2021
Emergence in artificial lifeoriginal ↗
16 May 2021
Things you can’t do in Rust (and what to do instead)original ↗
15 May 2021
Notes on: Hopfield Networks is All You Need by Ramsauer, H., Schäfl, B., Lehner, J., Seidl, P., Widrich, M., Gruber, L., Holzleitner, M., … (2020)original ↗
5 May 2021
Lempel-Ziv-Welch algorithmoriginal ↗
4 May 2021
CSS Tipsoriginal ↗
26 Apr 2021
Notes on: Generalization over different cellular automata rules learned by a deep feed-forward neural network by Aach, M., Goebbert, J. H., & Jitsev, J. (2021)original ↗
26 Apr 2021
Generalization in Machine learningoriginal ↗
23 Apr 2021
Notes on: AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence by Clune, J. (2019)original ↗
23 Apr 2021
Inigo Quilezoriginal ↗
22 Apr 2021
Matrix factorizationoriginal ↗
21 Apr 2021
Attractor networksoriginal ↗
19 Apr 2021
Boolean networksoriginal ↗
16 Apr 2021
Avidaoriginal ↗
12 Apr 2021
Hash functionsoriginal ↗
12 Apr 2021
Illegal numbersoriginal ↗
12 Apr 2021
Egyptologist Zahi Hawass Announces Discovery of Lost ‘Golden’ City in Luxororiginal ↗
11 Apr 2021
The Bitter Lessonoriginal ↗
8 Apr 2021
Richard Suttonoriginal ↗
8 Apr 2021
Writing tools I learned from The Economistoriginal ↗
5 Apr 2021
Why Computers Won’t Make Themselves Smarteroriginal ↗
5 Apr 2021
Note-takingoriginal ↗
29 Mar 2021
Notes on: Intelligence without representation by Brooks, R. A. (1991)original ↗
29 Mar 2021
Notes on: The geometry of integration in text classification RNNs by Aitken, K., Ramasesh, V. V., Garg, A., Cao, Y., Sussillo, D., & Maheswaranathan, N. (2020)original ↗
25 Mar 2021
Computer securityoriginal ↗
25 Mar 2021
CPPNoriginal ↗
25 Mar 2021
Diffusion limited aggregationoriginal ↗
25 Mar 2021
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