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charlie gauthier

@velythyl.bsky.social

PhD student | machine learning & robots i like bouldering, dnd (sometimes), vibing, writing prose, and being silly and goofy

270 Followers  |  191 Following  |  8 Posts  |  Joined: 07.12.2023  |  1.5598

Latest posts by velythyl.bsky.social on Bluesky

Notes on Vanishing
YouTube video by Lily Alexandre Notes on Vanishing

My new video, Notes on Vanishing, is out now.

I keep returning to an unthinkable question: is it time for trans people to make ourselves disappear?

Enjoy πŸŒƒ
youtu.be/cqhiup5qSY8

01.05.2025 02:43 β€” πŸ‘ 700    πŸ” 187    πŸ’¬ 29    πŸ“Œ 56

Been using Molmo a lot, super excited for this Olmo release too!

27.11.2024 05:01 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
A scatter plot comparing language models by performance (y-axis, measured in average performance on 10 benchmarks) versus training computational cost (x-axis, in approximate FLOPs). The plot shows OLMo 2 models (marked with stars) achieving Pareto-optimal efficiency among open models, with OLMo-2-13B and OLMo-2-7B sitting at the performance frontier relative to other open models like DCLM, Llama 3.1, StableLM 2, and Qwen 2.5. The x-axis ranges from 4x10^22 to 2x10^24 FLOPs, while the y-axis ranges from 35 to 70 benchmark points.

A scatter plot comparing language models by performance (y-axis, measured in average performance on 10 benchmarks) versus training computational cost (x-axis, in approximate FLOPs). The plot shows OLMo 2 models (marked with stars) achieving Pareto-optimal efficiency among open models, with OLMo-2-13B and OLMo-2-7B sitting at the performance frontier relative to other open models like DCLM, Llama 3.1, StableLM 2, and Qwen 2.5. The x-axis ranges from 4x10^22 to 2x10^24 FLOPs, while the y-axis ranges from 35 to 70 benchmark points.

Excited to share OLMo 2!

🐟 7B and 13B weights, trained up to 4-5T tokens, fully open data, code, etc
🐠 better architecture and recipe for training stability
🐑 staged training, with new data mix DolminoπŸ• added during annealing
🦈 state-of-the-art OLMo 2 Instruct models

#nlp #mlsky

links belowπŸ‘‡

26.11.2024 20:59 β€” πŸ‘ 68    πŸ” 12    πŸ’¬ 1    πŸ“Œ 1

slay

23.11.2024 08:58 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

same on David social

23.11.2024 07:41 β€” πŸ‘ 2    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Post image Post image Post image Post image

I have been drawing a lot of sh #silenthill #silenthi2remake #jamessunderland

20.11.2024 14:23 β€” πŸ‘ 7    πŸ” 1    πŸ’¬ 1    πŸ“Œ 0

i love bsky i love bsky fuck fascist bird social media

12.11.2024 00:35 β€” πŸ‘ 5    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

*Ah, Michael Przystupa is also on the committee :P

28.08.2024 18:07 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

Submission link: openreview.net/group?id=cor...
Website (more info to come): sites.google.com/view/corl-mapo

28.08.2024 18:07 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

Organizing committee:
Glen Berseth, Dhruv Shah, Laura Graesser, Jan Peters, Adriana Knatchbull-Hugessen, Kevin Luck and Myself

28.08.2024 18:06 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0

We’re thrilled to announce that the Morphology-Aware Policy and Design Learning Workshop (MAPoDeL) will be held at CoRL 2024 @corl_conf
in Munich,Germany!! We are now soliciting submissions of workshop papers to be presented at the workshop!
Info β¬‡οΈπŸ§΅ #MLSky #robotics #corl #ml

28.08.2024 18:06 β€” πŸ‘ 5    πŸ” 0    πŸ’¬ 1    πŸ“Œ 0
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IMPORTANT: This ranks a bunch of ways we get around cities, using average carbon emissions by transport type in grams per pkm. It breaks emissions down by operation, manufacture etc.

Feet and bikes win. Lots of ways beat electric cars, and everything beats gas cars.

HT @copenhenken

31.12.2023 16:15 β€” πŸ‘ 205    πŸ” 100    πŸ’¬ 18    πŸ“Œ 6

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