Uploaded March 2026 | Updated September 2026, 1 week ago
Watch the full video: youtu.be/xUlX6jvwVfM
Check out my latest project: Intuitive AI Academy
We just wrote a new piece on MoE and Engrams in depth!
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limited time code "EASY" for 40% off yearly plan!
Watch the full video: youtu.be/xUlX6jvwVfM
Check out my latest project: Intuitive AI Academy
We just wrote a new piece on MoE and Engrams in depth!
https://intuitiveai.academy/
limited time code "EASY" for 40% off yearly plan!
![3D Gaussian Splatting: Hows This The Future of 3D AI?
To try everything Brilliant has to offer—free—for a full 30 days, visit https://brilliant.org/bycloud . The first 200 of you will get 20% off Brilliant’s annual premium subscription!
3D Gaussian Splatting
[Installation Tutorial] https://youtu.be/P9vs-zN-jFI
[Paper] https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/3d_gaussian_splatting_high.pdf
[Project Page] https://repo-sam.inria.fr/fungraph/3d-gaussian-splatting/
[Code] https://github.com/graphdeco-inria/gaussian-splatting
NeRF
[Paper] https://arxiv.org/abs/2003.08934
[Project Page] https://www.matthewtancik.com/nerf
[Code] https://github.com/bmild/nerf
MipNeRF360
[Paper] https://arxiv.org/abs/2111.12077
[Project Page] https://jonbarron.info/mipnerf360/
[Code] https://github.com/google-research/multinerf
Instant-NGP
[Paper] https://nvlabs.github.io/instant-ngp/assets/mueller2022instant.pdf
[Project Page] https://nvlabs.github.io/instant-ngp/
[Code] https://github.com/NVlabs/instant-ngp
Plenoxels
[Paper] https://arxiv.org/abs/2112.05131
[Project Page] https://alexyu.net/plenoxels/
[Code] https://github.com/sxyu/svox2
Dream Gaussian
[Paper] https://arxiv.org/abs/2309.16653
[Project Page] https://dreamgaussian.github.io/
[Code] https://github.com/dreamgaussian/dreamgaussian
GSGEN: Text-To-3D Gaussian Splatting
[Paper] https://arxiv.org/abs/2309.16585
[Project Page] https://gsgen3d.github.io/
[Code] https://github.com/gsgen3d/gsgen
MVDream
[Paper] https://arxiv.org/abs/2308.16512
[Project Page] https://mv-dream.github.io/
[Code] https://github.com/bytedance/MVDream
Dynamic 3DGS
[Paper] https://dynamic3dgaussians.github.io/paper.pdf
[Project Page] https://dynamic3dgaussians.github.io/
[Code] https://github.com/JonathonLuiten/Dynamic3DGaussians
NeRF-DS
[Paper] https://arxiv.org/abs/2303.14435
[Project Page] https://jokeryan.github.io/projects/nerf-ds/
[Code] https://github.com/JokerYan/NeRF-DS
PolyCam
[website] https://poly.cam/
Luma AI
[website] https://lumalabs.ai/
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
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This video was sponsored by Brilliant 3D Gaussian Splatting: Hows This The Future of 3D AI?](https://i.ytimg.com/vi/C708Mh7EHZM/mqdefault.jpg)
![Next Gen Catfishing? [The AI Timeline #3]
Welcome to my 3rd 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!
Jensen Huang Full NTU Graduation Speech
[YT] https://youtu.be/_sftvrqIfIU
Computex NVIDIA Keynote
[YT] https://youtu.be/i-wpzS9ZsCs
Linus Tech Tips on CPU Grace
[YT] https://youtu.be/It9D08W8Z7o
Microsoft Build 2023 Keynote
[YT] https://youtu.be/FaV0tIaWWEg
Andrej Karpathy Full Speech @ Microsoft Build
[Official] https://build.microsoft.com/en-US/sessions/db3f4859-cd30-4445-a0cd-553c3304f8e2
LLM As Tool Makers
[Arxiv] https://t.co/cOk3VZ47ka
Falcon 50B
[Official Website] https://falconllm.tii.ae/
DarkBERT (Darkweb LLM)
[Arxiv] https://arxiv.org/abs/2305.08596
The False Promise of Imitating Proprietary LLMs
[Arxiv] https://arxiv.org/abs/2305.15717
Online Job Interview AI Assistant
[GitHub] https://github.com/SevaSk/ecoute
DL Plaque Analysis for Heart Attack
[Paper] https://pubmed.ncbi.nlm.nih.gov/37215775/
Reconstructing the Minds Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
[Arxiv] https://arxiv.org/abs/2305.18274
Prompt-Free Diffusion
[Arxiv] https://arxiv.org/abs/2305.16223
[GitHub] https://github.com/SHI-Labs/Prompt-Free-Diffusion
Voyager: An Open-Ended Embodied Agent with Large Language Models
[Official Website] https://voyager.minedojo.org/
[GitHub] https://github.com/MineDojo/Voyager
Metaphysic.AI
[Official Website] https://www.metaphysic.ai/
Img2Img Video/Multi-Frame Rendering (Towel Guy to Girl)
[TW] https://twitter.com/Yokohara_h/status/1662653691906887685?s=20
[Thumbnail] @Yokohara_h on Twitter
OpenPose Man LoRA
[Civitai] https://civitai.com/models/76718/openpose-man
This video is supported by the kind Patrons & YouTube Members:
🙏Andrew Lescelius, 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
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[Video Editor] @askejm Next Gen Catfishing? [The AI Timeline #3]](https://i.ytimg.com/vi/Ci4Wua9hNww/mqdefault.jpg)
![A Slightly Technical Breakdown of DeepSeek-R1
Try out Kimi k1.5 Looong Thinking Now https://kimi.moonshot.cn/
& check out their paper https://arxiv.org/abs/2501.12599v1
DeepSeek Papers
[DeepSeek-R1] https://arxiv.org/abs/2501.12948
[DeepSeek-v3] https://arxiv.org/abs/2412.19437v1
[DeepSeekMoE] https://arxiv.org/abs/2401.06066
[DeepSeekMath] https://arxiv.org/abs/2402.03300
My newsletter
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My Patreon
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Sources:
[DeepSeek Hardware Requirements] https://www.reddit.com/r/LocalLLaMA/comments/1i69dhz/deepseek_r1_ollama_hardware_benchmark_for_localllm/
[Liang Wenfeng Interview 2023] https://mp.weixin.qq.com/s/Cajwfve7f-z2Blk9lnD0hA
[Liang Wenfeng Interview 2024] https://mp.weixin.qq.com/s? biz=Mzk0MDMyNDUxOQ &mid=2247491914&idx=1&sn=50489b9228906d5f9429817555d5be14
[SirrahChan Diagram] https://x.com/SirrahChan/status/1881540279783887036
[Live Bench] https://livebench.ai/#/
[AiderBench] https://aider.chat/docs/leaderboards/
[Artificial Analysis] https://artificialanalysis.ai/
[definitely not jailbreak] https://x.com/kohya_tech/status/1881910958169415839
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
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[Ko-fi] https://ko-fi.com/bycloudai A Slightly Technical Breakdown of DeepSeek-R1](https://i.ytimg.com/vi/CiS9gDfYZ-w/mqdefault.jpg)
![Is Elons AI Really That Good? First Look At Grok-3
Check out HubSpots Free 1000+ Prompt resource here! https://clickhubspot.com/kiof
Elon Musks xAI has just published the state of the art model series: Grok-3.
State-of-the-Art on their official benchmarks though, since API is still not available for robust third party benchmark testing.
Grok-3 Announcement
[Live Stream] https://x.com/xai/status/1891699715298730482
(yes, live stream was the only info source LMAO)
[Website] https://grok.com/
[X Premium+] https://x.com/i/premium
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, Charlie C, tantan assawade, Ângelo Fonseca, Stefan Lorenz, Paperboy, mika, Leo, Utsav Soi
[Discord] https://discord.gg/NhJZGtH
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[Video Editor] me
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[Ko-fi] https://ko-fi.com/bycloudai Is Elons AI Really That Good? First Look At Grok-3](https://i.ytimg.com/vi/CwMKEnq56ho/mqdefault.jpg)
![The Rise of Anime Generating AI
The first 1,000 people to use the link or my code bycloud will get a 1 month free trial of Skillshare: https://skl.sh/bycloud05221
Ever wonder the current level of technology in generating authentic anime characters? Well, lucky you! In this video I will do a quick run down on its history and its current capability in the field of AI.
Special thanks to Gwern, and this video is also heavily inspired by Gwerns Making Anime Faces With StyleGAN on https://www.gwern.net/Faces#. IF you wish to learn more about this videos content, I highly suggest reviewing their entire documentation on anime face generation.
This video is supported by the kind Patrons & YouTube Members:
🙏Andrew Lescelius, Panther Modern, 正毅 水野, Jake Disco, Demilson Quintao, Tony Jimenez, Shuhong Chen, Hongbo Men, happi nyuu nyaa, Carol Lo, Deagan, Mose Sakashita, Miguel, Bandera, Todd, Tono Cabanelas, Gennaro Schiano
[Discord] https://discord.gg/NhJZGtH
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[Music 1] https://soundcloud.com/kokonoku/sam?in=kokonoku/sets/i-think-we-will-be-ok&utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing
[Music 2] https://youtu.be/uszCEAr2tIY
[Music 3] https://youtu.be/HYLDhN3CX1E
[Music 4] https://youtu.be/OR3moEoe-Yk
[Music 5] https://youtu.be/9PRbBhOQnq4
[Music 6] https://youtu.be/JPB1m4xtQ0I
[Music 7] https://youtu.be/cfiALcWlRjg
[Music 8] https://youtu.be/xCXc9J0F_ao
[Profile & Banner Art] https://twitter.com/pygm7
[Video Editor] https://twitter.com/MishnImpossible The Rise of Anime Generating AI](https://i.ytimg.com/vi/DX1lUelmyUo/mqdefault.jpg)
![DeepSeeks Deleted Vision Paper Is Nuts...
Need high quality cloud GPUs? Check out Verda now, and use the code BYCLOUD-50 to get $50 of compute credits for just $5!
https://verda.com/?utm_source=bycloud&utm_medium=referral&utm_campaign=sponsorship&utm_content=deepseekv4
How to redeem the discount: https://docs.verda.com/resources/obtaining-free-credits/how-to-redeem-credits/#redeem-discount-coupons
In this video, we are diving into the DELETED paper from DeepSeek called Visual Primitives, which is a vision model that grounds vision through pointers and boxes.
my latest project: Intuitive AI Academy
We just wrote a new piece on Optimization!!
https://intuitiveai.academy/
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SOURCES:
Thinking With Visual Primitives
[Paper] https://www.alphaxiv.org/abs/visual-primitives
Try out my new fav place to learn how to code https://scrimba.com/?via=bycloudAI
This video is supported by the kind Patrons & YouTube Members:
🙏Spam Maj, Alex, Chris LeDoux, DX Research Group, Poof N Inu, 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, Lame Plane, Matej Macak, Len Mo, saylikhapekar, ZyanSheep, THEVIERAOS, Ricardo Raphael Corona-Moreno, superchordate
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[Solana (SOL)] 6XyMCEdVhtxJQRjMKgUJaySL8cGoBPzzA2NPDMPfVkKN DeepSeeks Deleted Vision Paper Is Nuts...](https://i.ytimg.com/vi/DjGCcL9J8uA/mqdefault.jpg)
![The Biggest Lie in AI? LLM doesnt think step-by-step
Remove your personal information from the web at https://JoinDeleteMe.com/BYCLOUD and use
code BYCLOUD for 20% off🙌
My Newsletter
https://mail.bycloud.ai/
my project: find, discover & explain AI research semantically
https://findmypapers.ai/
(just pushed out a new UI update! everything should be smoother now)
My Patreon
https://www.patreon.com/c/bycloud
Think before you speak: Training Language Models With Pause Tokens
[Paper] https://arxiv.org/abs/2310.02226
Lets Think Dot by Dot: Hidden Computation in Transformer Language Models
[Paper] https://arxiv.org/abs/2404.15758
Do LLMs Really Think Step-by-step In Implicit Reasoning?
[Paper] https://arxiv.org/abs/2411.15862
On the Biology of a Large Language Model
[Paper] https://transformer-circuits.pub/2025/attribution-graphs/biology.html
Try out my new fav place to learn how to code https://scrimba.com/?via=bycloudAI
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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[Ko-fi] https://ko-fi.com/bycloudai The Biggest Lie in AI? LLM doesnt think step-by-step](https://i.ytimg.com/vi/Dk36u4NGeSU/mqdefault.jpg)
![1 Million Tiny Experts in an AI? Fine-Grained MoE Explained
To try everything Brilliant has to offer—free—for a full 30 days, visit https://brilliant.org/bycloud/ . You’ll also get 20% off an annual premium subscription.
Mixture of Experts explained, well, re-explained. We are in the Fine-Grain era of Mixture of Experts and its about to get even more interesting as we further scale it up.
This video was sponsored by Brilliant
Check out my newsletter:
https://mail.bycloud.ai
Special thanks to LDJ for helping me with this video
Mixtral 8x7B Paper
[Paper] https://arxiv.org/abs/2401.04088
Sparse MoE (2017)
[Paper] https://arxiv.org/abs/1701.06538
Adaptive Mixtures of Local Experts (1991)
[Paper] https://direct.mit.edu/neco/article-abstract/3/1/79/5560/Adaptive-Mixtures-of-Local-Experts?redirectedFrom=fulltext
Gshard
[Paper] https://arxiv.org/pdf/2006.16668
Branch-Train Mix
[Paper] https://arxiv.org/pdf/2403.07816
DeepSeek-MoE
[Paper] https://arxiv.org/abs/2401.06066
MoWE (from the meme at 7:51)
[Paper] https://arxiv.org/abs/2311.10768
Mixture of A Million Experts
[Paper] https://web3.arxiv.org/abs/2407.04153
This video is supported by the kind Patrons & YouTube Members:
🙏Andrew Lescelius, alex j, Chris LeDoux, Alex Maurice, Miguilim, Deagan, FiFaŁ, Robert Zawiasa, 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 1 Million Tiny Experts in an AI? Fine-Grained MoE Explained](https://i.ytimg.com/vi/F70KlwO4wP0/mqdefault.jpg)
![byclouds 100k Subscribers Q&A Special
100K SPECIAL Q&A IS REAL GUYS!!! Just took awhile tho :p
[bycloud AI YouTube] @bycloud2
[bycloud AI Patreon] https://www.patreon.com/bycloud_AI
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
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[Video Editor] @askejm byclouds 100k Subscribers Q&A Special](https://i.ytimg.com/vi/G4yjpBdki78/mqdefault.jpg)
![What If We Remove Tokenization In LLMs?
Master AI agents now using HubSpots FREE resource! https://clickhubspot.com/e3c3d1
In this video, we will take a look at research papers that aim to remove tokenization in LLMs.
My Newsletter
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my project: find, discover & explain AI research semantically
https://findmypapers.ai/
My Patreon
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Dynamic Byte Latent Transformer
[Paper] https://arxiv.org/abs/2412.09871
[Code] https://github.com/facebookresearch/blt
From Bytes to Ideas: Language Modeling with Autoregressive U-Nets
[Paper] https://arxiv.org/abs/2506.14761
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![DeepSeek Just Added Parameters Where There Were None
Stop scraping manually and check out SerpAPI now! https://serpapi.link/bycloud-feb-2026
So what in the world did DeepSeek publish? This Hyper Connections paper probably confused more people than it should. But under the hood, it is a fairly simple idea that everyone can easily follow! So in this video, let me break it down for you.
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Sources...
(ByteDance) Hyper Connections
[Paper] https://arxiv.org/abs/2409.19606
(DeepSeek) mHC: Manifold-Constrained Hyper-Connections
[Paper] https://arxiv.org/abs/2512.24880
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