I’ve been obsessed with computer vision, machine learning, and all things AI for over a decade — and I still genuinely love it.

Joined April 2009
The RS-25 engines in this simulation are the same engines flying RIGHT NOW on SLS for Artemis. The code that evaluated whether the Shuttle concept would work - still gets the math right for hardware heading to the Moon.
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Liftoff, gravity turn, SRB separation at 50 km, MECO at 7,803 m/s. Orbital coast at 109 km. Every parameter within 5-15% of real STS data. All computed by original 1970 code — not a single formula changed.
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10 fixes to compile on a MacBook. But the real problem: 300 unknown coefficients, no readable docs. The solution? Wikipedia as ground truth — real Shuttle specs, publicly available.
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How was your weekend? I spent mine launching the Space Shuttle. With NASA code from 1970 that nobody could run for 50 years.
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Spent a weekend vibe-coding a massive legacy codebase with Claude Code. The trick: a supervisor agent that builds a harness before each task and learns from session logs after. Blogpost: bes-dev.com/posts/autoharnes… #ai #aiagents
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Finally scratched an old itch — AI sticker packs from your photos. Works with Telegram/WhatsApp. 👉 apps.apple.com/us/app/stckzy…
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The new version of our engine for Stable Diffusion optimized to CPU is ready. Now it supports Image-To-Image and Inpainting too. Also, we release the initial version of pretty GUI. Join to the future of media art here: github.com/bes-dev/stable_di…… #art #deeplearning
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We published our early results to run state-of-the-art Text-To-Image models on consumer CPU. You can found project here: github.com/bes-dev/stable_di… #syntheticmedai #stablediffusion #ai #openvino
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Our new library to make CLIP guided loss for Text-To-Image generation was published on github: github.com/bes-dev/pytorch_c… #opensource #python #deeplearning
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The new version of our library for fast image generation of people who do not exist was released. x2 Better quality of generated images is here (= python library: github.com/bes-dev/random_fa… training tool: github.com/bes-dev/MobileSty… demo video: youtube.com/watch?v=Rewpnz4y…
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