Everyone assumed semantic encoders couldn’t reconstruct images.
Turns out, they can and better than VAEs. RAE + DINOv2-B achieves 0.49 rFID vs 0.62 for SD-VAE, with 6× less compute. That’s fewer FLOPs and sharper reconstructions.
COMPUTING
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RAE + DINOv2-B beats VAEs with sharper images
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RAEs improve diffusion models over VAEs
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Today, most diffusion models still use VAEs built on 2021 tech. They compress images into low-dimensional latents (like 4 channels). That’s why diffusion models lose global structure and texture fidelity. RAEs fix this by encoding rich semantic features directly from pretrained
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New Paper Revolutionizes Diffusion Models
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Holy shit…Diffusion just leveled up A new paper “Diffusion Transformers with Representation Autoencoders” basically kills the VAE era. Instead of the old VAE bottleneck, they use representation autoencoders (RAEs) built from pretrained encoders like DINO or SigLIP. The
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Top 5 Technology Trends Reshaping 2026 Innovation
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The Top 5 Technology Trends for 2026 From intelligent agents and space computing to bio-tech and digital twins, these are the five technological shifts set to reshape business, society and innovation in 2026. Read more https://
bernardmarr.com/the-top-5-tech
nology-trends-for-2026/
… #TechTrends #Innovation -
5G’s Impact on Television Production Methods
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How 5G Will Completely Change the Way Television Is Produced
— Harold Sinnott #MWC26 (@HaroldSinnott) 18 octobre 2025
Learn more: https://t.co/vyWTrTpZP6
@TMobileBusiness Partner #5G #IoT #AI #Sports #Entertainment #Broadcast pic.twitter.com/44Qcs8PyKwHow 5G Will Completely Change the Way Television Is Produced Learn more: https://
t-mo.co/4ee746e @TMobileBusiness Partner #5G #IoT #AI #Sports #Entertainment #Broadcast -
AI’s Future Challenge: Efficiency Over Intelligence and Power Demands
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The true test of AI’s future won’t be intelligence, it will be efficiency. As AI power demand accelerates toward 1,600 TWh by 2035, we’re approaching a crossroads: innovation is outpacing infrastructure. The same technology built to optimize global systems now risks overloading
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Why You Should Buy a GPU Today
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I am sorry that you have to go through this. There are way too many reasons to Buy a GPU, this is one of them.
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GPU Purchase Recommendation for AI Computing
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love seeing these tweets keep them coming Buy a GPU
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Open Source LLM Inference: Current State of Chaos
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this is what opensource LLM inference
looks like in my head > pure chaos
> lousy & misplaced integrations > everything half-broken, somehow still runs we're so early, and there's a lot of work to do -
Windows Support Experimental Codex WSL Setup Guide
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Yes! Windows support is still experimental, but the team is working to improve it. For the best Windows experience, use Codex in a WSL workspace and follow our Windows setup guide: