Uploaded October 2024 | Updated September 2026, 1 week ago
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Emergent properties with repeated examples
[Paper] arxiv.org/abs/2410.07041v1
A Tale of Tails: Model Collapse as a Change of Scaling Laws
[Paper] arxiv.org/abs/2402.07043
Intelligence at the Edge of Chaos
[Paper] arxiv.org/pdf/2410.02536
Game of Life
[Try out] playgameoflife.com
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[Video Editor] Silas
To try everything Brilliant has to offer—free—for a full 30 days, visit brilliant.org/bycloud . You’ll also get 20% off an annual premium subscription.
Check out my newsletter:
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Emergent properties with repeated examples
[Paper] arxiv.org/abs/2410.07041v1
A Tale of Tails: Model Collapse as a Change of Scaling Laws
[Paper] arxiv.org/abs/2402.07043
Intelligence at the Edge of Chaos
[Paper] arxiv.org/pdf/2410.02536
Game of Life
[Try out] playgameoflife.com
This video is supported by the kind Patrons & YouTube Members:
🙏Andrew Lescelius, Ben Shaener, Chris LeDoux, Miguilim, Deagan, FiFaŁ, Robert Zawiasa, Marcelo Ferreira, Owen Ingraham, Daddy Wen, Tony Jimenez, Panther Modern, Jake Disco, Demilson Quintao, Penumbraa, Shuhong Chen, Hongbo Men, happi nyuu nyaa, Carol Lo, Mose Sakashita, Miguel, Bandera, Gennaro Schiano, gunwoo, Ravid Freedman, Mert Seftali, Mrityunjay, Richárd Nagyfi, Timo Steiner, Henrik G Sundt, projectAnthony, Brigham Hall, Kyle Hudson, Kalila, Jef Come, Jvari Williams, Tien Tien, BIll Mangrum, owned, Janne Kytölä, SO, Richárd Nagyfi, Hector, Drexon, Claxvii 177th, Inferencer, Michael Brenner, Akkusativ, Oleg Wock, FantomBloth, Thipok Tham, Clayton Ford, Theo, Handenon, Diego Silva, mayssam, Kadhai Pesalam, Tim Schulz, jiye, Anushka
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![Was Machine Learning 2.0 All Hype? The Kolmogorov-Arnold Network Explained
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Would KAN be the next paradigm shift in machine learning? Lets find out.
KAN: Kolmogorov-Arnold Networks
[Paper] https://arxiv.org/abs/2404.19756
[Code] https://github.com/KindXiaoming/pykan
[GPT-2 KAN] https://github.com/CG80499/KAN-GPT-2
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[Video Editor] @askejm & Slias Was Machine Learning 2.0 All Hype? The Kolmogorov-Arnold Network Explained](https://i.ytimg.com/vi/xLnQtLpPH-Y/mqdefault.jpg)
![DeepSeeks Insane Architecture Breakthrough [Engram Explained]
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DeepSeek Engram
[Paper] https://arxiv.org/abs/2601.07372v1
mentioned papers
[DeepSeek-V3.2] https://arxiv.org/abs/2512.02556
[DeepSeek Sparse Attention] https://github.com/deepseek-ai/DeepSeek-V3.2-Exp/blob/main/DeepSeek_V3_2.pdf
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[Ko-fi] https://ko-fi.com/bycloudai DeepSeeks Insane Architecture Breakthrough [Engram Explained]](https://i.ytimg.com/vi/xUlX6jvwVfM/mqdefault.jpg)
![Meta AI did something WILD again... wtf is Next Concept Prediction?
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Large Concept Models: Language Modeling in a Sentence Representation Space
[Paper] https://arxiv.org/abs/2412.08821
LLM Pretraining with Continuous Concepts (CoCoMix)
[Paper] https://arxiv.org/abs/2502.08524
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[Ko-fi] https://ko-fi.com/bycloudai Meta AI did something WILD again... wtf is Next Concept Prediction?](https://i.ytimg.com/vi/y8uwcZimVDc/mqdefault.jpg)
![The Convergence of Intelligence - Platonic Representation Hypothesis Explained
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What does Plato have to do with AI? Today we will take a fascinating dive into the world of representation spaces.
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Platonic Representation Hypothesis
[Paper] https://arxiv.org/pdf/2405.07987
[Project Page] https://phillipi.github.io/prh/
[Code] https://github.com/minyoungg/platonic-rep
This video is supported by the kind Patrons & YouTube Members:
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[Video Editor] Silas The Convergence of Intelligence - Platonic Representation Hypothesis Explained](https://i.ytimg.com/vi/y9_QFUma8Fo/mqdefault.jpg)
![We had Image Gen copying LLM... and now the REVERSE?? [DiffusionLM]
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In 2023, image generation adopted LLMs transformer architecture to improve generation quality. Now, in 2024, the Diffusion Language Model, also known as DiffusionLM, is taking a step towards using diffusion for language modeling. Look how the turn tables...
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Structured Denoising Diffusion Models in Discrete State-Spaces
[Paper] https://arxiv.org/abs/2107.03006
Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution
[Paper] https://arxiv.org/abs/2310.16834
Scaling up Masked Diffusion Models on Text
[Paper] https://arxiv.org/abs/2410.18514
Discrete Diffusion for Complex Reasoning and Planning
[Paper] https://arxiv.org/abs/2410.14157
Simplified and Generalized Masked Diffusion for Discrete Data
[Paper] https://arxiv.org/abs/2406.04329
Speculative Diffusion Decoding
[Paper] https://arxiv.org/abs/2408.05636
Energy-Based Diffusion Language Models for Text Generation
[Paper] https://arxiv.org/abs/2410.21357
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[Ko-fi] https://ko-fi.com/bycloudai We had Image Gen copying LLM... and now the REVERSE?? [DiffusionLM]](https://i.ytimg.com/vi/yXHSPzHfe1s/mqdefault.jpg)
![Is DeepSeek Legit? Breaking Down All Major Allegations
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In this video, Ill be breaking down a lot of the allegations that DeepSeek received, and clarify some information which seems to be some misunderstanding. If you have other sources that can support or argue against the points, feel free to leave it down in the comments! However, this is not a debate, I just want to share the truth & what I find the most reliable. I have been reading their research for a while, so seeing a lot of these criticisms specifically to DeepSeek really seem like a big misunderstanding.
0:00 intro
0:35 50,000 illegal GPUs?
2:30 $5mil is bs
8:35 stolen data
11:49 DeepSeek is NOT a side project
14:25 miscellaneous
Sources
[SemiAnalysis] http://semianalysis.com/
[anthropic CEO post] https://darioamodei.com/on-deepseek-and-export-controls
[Eryck Banatt] https://planetbanatt.net/articles/v3fermi.html
[LLM Cost Calculator] https://tnyqnervqldjme1y.vercel.app/
[Highflyer Blogs] https://www.high-flyer.cn/en/blog/hf-reduce/
[Free NVIDIA R1 Preview] https://build.nvidia.com/deepseek-ai/deepseek-r1
Papers
[DeepSeek-R1] https://arxiv.org/abs/2501.12948
[DeepSeek-v3] https://arxiv.org/abs/2412.19437
[DeepSeek-v2] https://arxiv.org/abs/2405.04434
[DeepSeekMoE] https://arxiv.org/abs/2401.06066
[DeepSeekMath] https://arxiv.org/abs/2402.03300
[DeepSeekLLM] https://arxiv.org/abs/2401.02954
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🙏Andrew Lescelius, Ben Shaener, Chris LeDoux, Miguilim, Deagan, FiFaŁ, Robert Zawiasa, Marcelo Ferreira, Owen Ingraham, Daddy Wen, Tony Jimenez, Panther Modern, Jake Disco, Demilson Quintao, Penumbraa, Shuhong Chen, Hongbo Men, happi nyuu nyaa, Carol Lo, Mose Sakashita, Miguel, Bandera, Gennaro Schiano, gunwoo, Ravid Freedman, Mert Seftali, Mrityunjay, Richárd Nagyfi, Timo Steiner, Henrik G Sundt, projectAnthony, Brigham Hall, Kyle Hudson, Kalila, Jef Come, Jvari Williams, Tien Tien, BIll Mangrum, owned, Janne Kytölä, SO, Richárd Nagyfi, Hector, Drexon, Claxvii 177th, Inferencer, Michael Brenner, Akkusativ, Oleg Wock, FantomBloth, Thipok Tham, Clayton Ford, Theo, Handenon, Diego Silva, mayssam, Kadhai Pesalam, Tim Schulz, jiye, Anushka, Henrik Sundt, Julian Aßmann, Thomas Lin, Sid_Cypher, Mark Buckler, Kevin Tai, NO U, Gonzalo Fidalgo, Igor Alvarez, Alon Pluda, Clément Veyssière, Sander Zwaenepoel, etrotta, Binnie Yiu, Matej Macak, c zhou, Berhane-Meskel, sai sandeep mandava, Leo, Asad Dhamani, ZyanSheep, Stefan Lorenz, Ângelo Fonseca
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[Ko-fi] https://ko-fi.com/bycloudai Is DeepSeek Legit? Breaking Down All Major Allegations](https://i.ytimg.com/vi/yblat9IWPMo/mqdefault.jpg)
![Why AI Simulated Doom Is Actually Absurd
[Full video] https://youtu.be/0Xn8xGV_w9w Why AI Simulated Doom Is Actually Absurd](https://i.ytimg.com/vi/yzp0RRUvckM/mqdefault.jpg)
![The LLMs RL Revelation We Didnt See Coming
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Training language models to follow instructions with human feedback
[Paper] https://arxiv.org/abs/2203.02155
DeepSeek-R1 (Aha Moment)
[Paper] https://arxiv.org/abs/2501.12948
Understanding R1-Zero-Like Training: A Critical Perspective
[Paper] https://arxiv.org/pdf/2503.20783
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
[Paper] https://arxiv.org/abs/2504.13837
Reinforcement Learning Finetunes Small Subnetworks in Large Language Models
[Paper] https://arxiv.org/abs/2505.11711
Spurious Rewards: Rethinking Training Signals in RLVR
[Paper] https://arxiv.org/abs/2506.10947
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This video is supported by the kind Patrons & YouTube Members:
🙏Nous Research, Chris LeDoux, Ben Shaener, DX Research Group, Poof N Inu, Andrew Lescelius, Deagan, Robert Zawiasa, Ryszard Warzocha, Tobe2d, Louis Muk, Akkusativ, Kevin Tai, Mark Buckler, NO U, Tony Jimenez, Ângelo Fonseca, jiye, Anushka, Asad Dhamani, Binnie Yiu, Calvin Yan, Clayton Ford, Diego Silva, Etrotta, Gonzalo Fidalgo, Handenon, Hector, Jake Disco very, Michael Brenner, Nilly K, OlegWock, Daddy Wen, Shuhong Chen, Sid_Cipher, Stefan Lorenz, Sup, tantan assawade, Thipok Tham, Thomas Di Martino, Thomas Lin, Richárd Nagyfi, Paperboy, mika, Leo, Berhane-Meskel, Kadhai Pesalam, mayssam, Bill Mangrum, nyaa,
Toru Mon
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[Ko-fi] https://ko-fi.com/bycloudai The LLMs RL Revelation We Didnt See Coming](https://i.ytimg.com/vi/z3awgfU4yno/mqdefault.jpg)
![OpenAIs Sora Losing? The New Big 3 of AI Video Generators
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Sora was previously known as the best text to video generator... Then 4 months later, its contenders have shown their faces. This cambrian explosion of AI generated videos is actually getting out of hand.
That Drew Gooden video
[YT] https://youtu.be/UShsgCOzER4
Sora
[Blog] https://openai.com/index/sora/
[Balloon boy blog] https://www.fxguide.com/fxfeatured/actually-using-sora/
KLING
[Webapp]
[Blog] https://kling.kuaishou.com/en
[Theoretical Tim] https://youtu.be/CfTnMXodtns
Luma Dream Machine
[Blog] https://blog.lumalabs.ai/p/dream-machine
[Webapp] https://lumalabs.ai/dream-machine
Gen-3 Alpha
[Blog] https://runwayml.com/blog/introducing-gen-3-alpha/
[Webapp] https://runwayml.com/ai-tools/gen-3-alpha/
OpenSora
[Github] https://github.com/hpcaitech/Open-Sora
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[Video Editor] Silas OpenAIs Sora Losing? The New Big 3 of AI Video Generators](https://i.ytimg.com/vi/z4fai9N8HtQ/mqdefault.jpg)

![VR + LLM = IRL Cheat? [The AI Timeline #5]
Welcome to my 5th episode of the weekly AI news series The AI Timeline, where I go through the AI news in the past week with the most distilled information and memes!
OTTER-E
[Project Page] https://otter-ntu.github.io/
[Paper] https://arxiv.org/abs/2306.05425
[Demo] https://youtu.be/K8o_LKGQJhs
MusicGEN
[Project Page] https://ai.honu.io/papers/musicgen/
[Paper] https://arxiv.org/pdf/2306.05284.pdf
[GitHub] https://github.com/facebookresearch/audiocraft
[My MusicLM Video]
Imagen Editor
[TW] https://twitter.com/hardmaru/status/1667506066492653568?s=20
[TW] https://twitter.com/hardmaru/status/1667513739707568128?s=20
[Blog] https://ai.googleblog.com/2023/06/imagen-editor-and-editbench-advancing.html
ATT3D
[Blog] https://research.nvidia.com/labs/toronto-ai/ATT3D/
Tracking Everything Everywhere All at Once
[Project Page] https://omnimotion.github.io/
New LLM Attack
[Blog] https://vulcan.io/blog/ai-hallucinations-package-risk
Mind2Web
[Project Page] https://osu-nlp-group.github.io/Mind2Web/
Can large language models infer causation from correlation?
[Paper] https://arxiv.org/pdf/2306.05836.pdf
OpenAI and DeepMind vs UK Government
[Article] https://www.politico.eu/article/openai-deepmind-will-open-up-models-to-uk-government/
OpenAI, Google, and Anthropic ban the use of the generated output content
[Article] https://www.businessinsider.com/openai-google-anthropic-ai-training-models-content-data-use-2023-6
InterLM
[TW] https://twitter.com/_akhaliq/status/1666441405194010639?s=20
FasterViT
[GitHub] https://github.com/NVlabs/FasterViT
[Paper] https://arxiv.org/pdf/2306.06189.pdf
AI Will Save The World
[Blog] https://a16z.com/2023/06/06/ai-will-save-the-world/
MattingAnything
[Project Page] https://chrisjuniorli.github.io/project/Matting-Anything/
[MattingAnything Video] https://twitter.com/fffiloni/status/1667911451061764103?s=20
ClipDrop
[Official] https://clipdrop.co/
[AK] https://twitter.com/_akhaliq/status/1667054632613433346?s=20
[Forasteran] https://twitter.com/forasteran/status/1666992758815625219?s=20
[New Ps vs Old Ps Meme] https://twitter.com/0xgaut/status/1667320106739810305?s=20
[Adobe Covers Your Legal Bills] https://www.fastcompany.com/90906560/adobe-feels-so-confident-its-firefly-generative-ai-wont-breach-copyright-itll-cover-your-legal-bills
Runway Gen-1
[TW] https://twitter.com/c_valenzuelab/status/1666972498334990336?s=20
ChatGPT Is Fun But Not Funny
[Paper] https://arxiv.org/abs/2306.04563
Japans Mountain Rescue
[Blog] https://nordot.app/1036149061519311769?c=768367547562557440
TemporalNet 2.0
[HuggingFace] https://huggingface.co/CiaraRowles/TemporalNet2
[TW] https://twitter.com/CiaraRowles1/status/1667145942556966912
Tokyo Jab
[Reddit] https://reddit.com/u/tokyo_jab
Middle Age Guy Into Cute Girls
[TW] https://twitter.com/gakuto_akashi/status/1668107135971098629?s=20
This video is supported by the kind Patrons & YouTube Members:
🙏Andrew Lescelius, alex j, Chris LeDoux, Alex Maurice, Tony Jimenez, Panther Modern, Jake Disco, Demilson Quintao, Shuhong Chen, Hongbo Men, happi nyuu nyaa, Carol Lo, Mose Sakashita, Miguel, Bandera, Gennaro Schiano, gunwoo, Ravid Freedman, Mert Seftali, Mrityunjay, Richárd Nagyfi, Timo Steiner, Henrik G Sundt, projectAnthony, Brigham Hall, Kyle Hudson, Kalila, Jef Come, Jvari Williams, Tien Tien
[Discord] https://discord.gg/NhJZGtH
[Twitter] https://twitter.com/bycloudai
[Patreon] https://www.patreon.com/bycloud
[Profile & Banner Art] https://twitter.com/pygm7
[Video Editor] @askejm
0:00 Otter-E
0:28 MusicGen
1:14 Imagen Editor
1:32 ATT3D
1:46 Tracking Everything, Everywhere, All At Once
2:03 New LLM Security Issue
2:27 Mind2Web
2:46 LLM: Causation VS Correlation
3:01 OpenAI, Deepmind Regulation News
3:23 InterLM
3:29 FasterViT
3:40 Why AI Will Save The World
3:47 MattingAnything
4:06 Photoshop Generative Fill, Clipdrop, Firefly
4:44 Runway Gen-1 Result
5:00 ChatGPT Is Not Funny
5:21 ChatGPT + Siri
5:26 Reddit Went Dark
5:56 Japan Mountain Rescue
6:15 TemporalNet 2.0
6:25 Img2Img Video Results
6:47 Outro VR + LLM = IRL Cheat? [The AI Timeline #5]](https://i.ytimg.com/vi/zc2Xm-mv8OY/mqdefault.jpg)