Uploaded June 2025 | Updated September 2026, 1 week ago
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my project: find, discover & explain AI research semantically
findmypapers.ai
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DeepSeek-Prover-V2
[Paper] arxiv.org/abs/2504.21801
[V3 report] arxiv.org/abs/2412.19437
Kimina Prover
[Paper] arxiv.org/abs/2504.11354
Putnam Bench
[Question ex] prase.cz/kalva/putnam.html
USAMO & AIME bench
[Math Arena Leaderboard] matharena.ai
Try out my new fav place to learn how to code scrimba.com/?via=bycloudAI
This video is supported by the kind Patrons & YouTube Members:
🙏 Chris LeDoux, Ben Shaener, DX Research Group, Poof N' Inu, Deagan, Robert Zawiasa, 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
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My Newsletter
mail.bycloud.ai
my project: find, discover & explain AI research semantically
findmypapers.ai
My Patreon
patreon.com/c/bycloud
DeepSeek-Prover-V2
[Paper] arxiv.org/abs/2504.21801
[V3 report] arxiv.org/abs/2412.19437
Kimina Prover
[Paper] arxiv.org/abs/2504.11354
Putnam Bench
[Question ex] prase.cz/kalva/putnam.html
USAMO & AIME bench
[Math Arena Leaderboard] matharena.ai
Try out my new fav place to learn how to code scrimba.com/?via=bycloudAI
This video is supported by the kind Patrons & YouTube Members:
🙏 Chris LeDoux, Ben Shaener, DX Research Group, Poof N' Inu, Deagan, Robert Zawiasa, 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
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![How ChatGPT Cheaps Out Over Time
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What is model distillation? Well today I will explain the concept and how it is applied to make SoTA cheaper for people to access. Model with names like Turbo, fast, lightning, are usually processed with distillation. It can also be used in some other interesting aspects, eg. step distillation or hide your model structures.
Special thanks to Cross Product & Neggles for helping with this video
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[Video Editor] @Askejm How ChatGPT Cheaps Out Over Time](https://i.ytimg.com/vi/vyJy-0zBSQ0/mqdefault.jpg)
![Is This GPT-5? OpenAI o1 Full Breakdown
Heres quick run down of OpenAIs new model o1 series, that includes o1-preview and o1-mini that is available now for you to use.
How to get access to OpenAI o1? It is only available for plus users rn. With 30 messages limit per week.
And this is probably the rumored OpenAI Strawberry that has been under development, and the results are indeed pretty insane.
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OpenAI o1s Blogs:
https://openai.com/o1/
more o1s demo:
https://openai.com/index/introducing-openai-o1-preview/
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[Video Editor] @Askejm Is This GPT-5? OpenAI o1 Full Breakdown](https://i.ytimg.com/vi/w2iumrJ90Qk/mqdefault.jpg)
![The Right Way To Train AGI Is Just GOOD Data?
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Emergent properties with repeated examples
[Paper] https://arxiv.org/abs/2410.07041v1
A Tale of Tails: Model Collapse as a Change of Scaling Laws
[Paper] https://arxiv.org/abs/2402.07043
Intelligence at the Edge of Chaos
[Paper] https://www.arxiv.org/pdf/2410.02536
Game of Life
[Try out] https://playgameoflife.com/
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[Video Editor] Silas The Right Way To Train AGI Is Just GOOD Data?](https://i.ytimg.com/vi/wkDE2hyf5jU/mqdefault.jpg)
![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
This video is supported by the kind Patrons & YouTube Members:
🙏Andrew Lescelius, alex j, Chris LeDoux, Alex Maurice, Miguilim, Deagan, FiFaŁ, Daddy Wen, 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, BIll Mangrum, owned, Janne Kytölä, SO, Richárd Nagyfi, Hector, Drexon, Claxvii 177th, Inferencer, Michael Brenner, Akkusativ, Oleg Wock, FantomBloth
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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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In this video, we will breakdown how DeepSeeks new engram works intuitively, with visualizations!
Check out my latest project: Intuitive AI Academy
We just wrote a new piece on MoE and Distillation!
https://intuitiveai.academy/
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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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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
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![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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![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
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, 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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