Kyle Lo

@kylelostat

language models, mts @MicrosoftAI, prev co-lead of Olmo @allen_ai, @uwcse, he/him, kylelo.bsky.social🧋

Seattle, WA

kyleclo.com

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Kyle Lo
@kylelostat
Dec 17, 2025
olmo 3 paper finally on arxiv 🫡 thx to our teammates esp folks who chased additional baselines thx to arxiv-latex-cleaner and overleaf feature for chasing latex bugs thx for all the helpful discussions after our Nov release, best part of open science is progressing together!
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Kyle Lo
@kylelostat
Jul 9
happening now at Hall A #1809, mining the web for diverse, natural “how to do X” instructions!
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Yapei Chang @ ICML 2026
@YapeiChang
Apr 30
How2Everything will appear in ICML 2026! See you in Korea 🫡 We mine the web's procedural knowledge to better evaluate & train LLMs to generate valid step-by-step instructions, read more at: 🔗 arxiv.org/pdf/2602.08808
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Kyle Lo
@kylelostat
Jul 8
happening now 5pm at Hall A #2108! come chat w us about data mixing under token constraints, changing data, etc #ICML2026
Kyle Lo
@kylelostat
Jul 5
excited to see frens at #icml2026 & present 🐟 Olmix: efficient data mixing under token constraints & evolving data domains 🐡 How2Everything: mining the web for diverse procedural tasks for train & eval 🐠 happy to chat data & evals, both pre & post-training
Kyle Lo
@kylelostat
Jul 5
excited to see frens at #icml2026 & present 🐟 Olmix: efficient data mixing under token constraints & evolving data domains 🐡 How2Everything: mining the web for diverse procedural tasks for train & eval 🐠 happy to chat data & evals, both pre & post-training
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Kyle Lo
@kylelostat
Jun 2
happy to share another quality tech report w/ the wider research community 🫶 great read for ppl who want to see all the details for methods + infra for scaling up pretraining & RL, esp detailed discussion about data which is often kept vague by other labs
Mustafa Suleyman
@mustafasuleyman
Jun 2
Super excited to announce seven new world-class MAI models today. They represent what we consider a new era in AI designed to keep you in control and on the frontier. First is our text foundation model, MAI-Thinking-1, exceptionally strong on reasoning and SWE tasks. - It’s a
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