Uploaded September 2025 | Updated September 2026, 2 weeks ago
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Energy-Based Models (EBMs) aren’t new—they score how “good” a (context, answer) pair is with an energy (lower = better). Energy-Based Transformers (EBT) simply apply that classic EBM idea as the transformer’s objective: for each guess, take a few “downhill” steps to lower the energy. This turns inference into quick search + self-checking: try a few candidates, keep the lowest-energy one, and spend extra steps only on hard cases. So it’s not a new architecture, it's just a new objective!
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Energy-Based Transformers are Scalable Learners and Thinkers
[Paper] arxiv.org/abs/2507.02092
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Energy-Based Models (EBMs) aren’t new—they score how “good” a (context, answer) pair is with an energy (lower = better). Energy-Based Transformers (EBT) simply apply that classic EBM idea as the transformer’s objective: for each guess, take a few “downhill” steps to lower the energy. This turns inference into quick search + self-checking: try a few candidates, keep the lowest-energy one, and spend extra steps only on hard cases. So it’s not a new architecture, it's just a new objective!
My Newsletter
mail.bycloud.ai
my project: find, discover & explain AI research semantically
findmypapers.ai
My Patreon
patreon.com/c/bycloud
Energy-Based Transformers are Scalable Learners and Thinkers
[Paper] arxiv.org/abs/2507.02092
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:
🙏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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![These TikTokers Are AI Generated [SD Multi-Frame Rendering]](https://i.ytimg.com/vi/Lx5Hy9YfZLs/mqdefault.jpg "These TikTokers Are AI Generated [SD Multi-Frame Rendering]
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When AI Influencers & Img2Img Video Generation meets each other... Literally everyone can run an model influencer account or even business in the near future.
National Geographic: How can you tell if a photo is AI generated?
[Article] https://www.nationalgeographic.com/science/article/how-can-you-tell-if-a-photo-is-ai-generated-here-are-some-tips
TemporalKit
[GitHub] https://github.com/CiaraStrawberry/TemporalKit
Hatsune Miku Workflow
[Reddit] https://www.reddit.com/r/StableDiffusion/comments/12xhd2t/experimental_ai_anime_w_cnet_11_groundingdino_sam/?utm_source=share&utm_medium=web2x&context=3
Multi-frame rendering
[GitHub] https://github.com/OedoSoldier/sd-webui-image-sequence-toolkit
[A random tutorial] https://youtu.be/kmT-z2lqEPQ
Mov2mov
[GitHub] https://github.com/Scholar01/sd-webui-mov2mov
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
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0:00 Intro
0:49 Ad
2:15 img2img t2v")
![[VOD] Picking RTX4080 Super Giveaway Winner & Chill](https://i.ytimg.com/vi/MINFqiXyueM/mqdefault.jpg "[VOD] Picking RTX4080 Super Giveaway Winner & Chill
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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")
![Sam Altman Sells Crypto, SDXL 1.0 Release, ChatGPT Custom Instructions & More [The AI Timeline #11]](https://i.ytimg.com/vi/MZsc0PuYhAE/mqdefault.jpg "Sam Altman Sells Crypto, SDXL 1.0 Release, ChatGPT Custom Instructions & More [The AI Timeline #11]
Sup guys! Welcome to the 11th episode of The AI Timeline, where things have gotten pretty chaotic and interesting. SDXL is going to be so hyped and I am so excited to see what direction itll head in. Subscribe to stay tuned to my SDXL 1.0 video!
WorldCoin
[SDK] https://docs.worldcoin.org/
[Website] https://worldcoin.org/
[Code] https://github.com/worldcoin
SDXL 1.0
[Blog] https://stability.ai/blog/stable-diffusion-sdxl-1-announcement
[Base Model] https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0
[Refiner Model] https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0
ChatGPT Custom Instructions
[Blog] https://openai.com/blog/custom-instructions-for-chatgpt
[Nick Dobos TW] https://twitter.com/NickADobos/status/1682138883222544384?s=20
[ChatGPT] https://chat.openai.com/
How Is ChatGPT’s Behavior Changing over Time?
[Paper] https://arxiv.org/pdf/2307.09009.pdf
On the Origin of LLMs
[Paper] https://arxiv.org/ftp/arxiv/papers/2307/2307.09793.pdf
[Constalletion Interactive Tree] https://huggingface.co/spaces/gaodrew/constellation
FreeWilly (Beluga now)
[FreeWilly 2] https://huggingface.co/stabilityai/StableBeluga2
[FreeWilly 1] https://huggingface.co/stabilityai/StableBeluga1-Delta
Challenges and Applications of LLMs
[Paper] https://arxiv.org/pdf/2307.10169.pdf
(Ab)using Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs
[Paper] https://arxiv.org/pdf/2307.10490.pdf
PaLM-E Generalist
[Blog] https://ai.googleblog.com/2023/03/palm-e-embodied-multimodal-language.html
Llama C Inference Code by Andrej Karpathy
[Code] https://github.com/karpathy/llama2.c
Runway ML
[Website] https://runwayml.com/
Interpolating between Images with Diffusion Models
[Paper] https://arxiv.org/abs/2307.12560
[Project Page] https://clintonjwang.github.io/interpolation
[Code] https://github.com/clintonjwang/ControlNet
TokenFlow
[Paper] https://diffusion-tokenflow.github.io/TokenFlow_Arxiv.pdf
[Project Page] https://diffusion-tokenflow.github.io/
[Code] https://github.com/omerbt/TokenFlow
FABRIC
[Paper] https://arxiv.org/pdf/2307.10159.pdf
Brain2Music
[Paper] https://arxiv.org/abs/2307.11078
[Project Page & Official Results] https://google-research.github.io/seanet/brain2music/
NeuralHaircut
[Paper] https://arxiv.org/abs/2306.05872
[Project Page] https://samsunglabs.github.io/NeuralHaircut/
[Code] https://github.com/SamsungLabs/NeuralHaircut
Wide Screen Seinfeld
[Reddit] https://www.reddit.com/r/StableDiffusion/comments/156l5ma/43_seinfeld_to_widescreen_rough_proof_of_concept/?utm_source=share&utm_medium=web2x&context=3
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0:00 Headline of the Week
3:53 Weekly Dose of LLM
10:51 FFA News")
![Reading AIs Mind - Mechanistic Interpretability Explained [Anthropic Research]](https://i.ytimg.com/vi/Mhp8vpOksWw/mqdefault.jpg "Reading AIs Mind - Mechanistic Interpretability Explained [Anthropic Research]
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Solving AI Doomerism: Anthropics Research On AI Mechanistic Interpretability. This is a big first step into understanding what the underlying nodes within an AI model are actually thinking.
Towards Monosemanticity: Decomposing Language Models With Dictionary Learning
[Anthropic] https://transformer-circuits.pub/2023/monosemantic-features/index.html
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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![Has Deepfake Become Too Easy? [Single Image Animation]](https://i.ytimg.com/vi/NTqaQEP3Y_w/mqdefault.jpg "Has Deepfake Become Too Easy? [Single Image Animation]
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First Order Motion Model for Image Animation
[Paper] https://proceedings.neurips.cc/paper/2019/hash/31c0b36aef265d9221af80872ceb62f9-Abstract.html
[Project Page] https://aliaksandrsiarohin.github.io/first-order-model-website/
[Code] https://github.com/AliaksandrSiarohin/first-order-model
Thin-Plate Spline Motion Model for Image Animation
[Paper] https://arxiv.org/abs/2203.14367
[Code] https://github.com/yoyo-nb/Thin-Plate-Spline-Motion-Model
Depth-Aware Generative Adversarial Network for Talking Head Video Generation
[Paper] https://arxiv.org/abs/2203.06605
[Project Page] https://harlanhong.github.io/publications/dagan.html
[Code] https://github.com/harlanhong/CVPR2022-DaGAN
[Online Demo] https://huggingface.co/spaces/HarlanHong/DaGAN
[Installation Tutorial] https://youtu.be/LmS22DoJNsA
MegaPortraits: One-shot Megapixel Neural Head Avatars
[Paper] https://arxiv.org/abs/2207.07621
[Project Page] https://samsunglabs.github.io/MegaPortraits/
This video is supported by the kind Patrons & YouTube Members:
🙏Andrew Lescelius, Chris LeDoux, Dan Kennedy, 正毅 水野, Shawn77134, Panther Modern, Jake Disco, Demilson Quintao, Tony Jimenez, Shuhong Chen, Hongbo Men, happi nyuu nyaa, Carol Lo, Mose Sakashita, Miguel, Bandera, Gennaro Schiano, gunwoo, Ravid Freedman, Mert Seftali, Mrityunjay
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