OLMo

product on 3 shows · 3 statements across 3 episodes · said 24 times in 6 episodes since 2024

Latent Space 17 the a16z Podcast 5 the MAD Podcast 2

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Latent Space 17the a16z Podcast 5the MAD Podcast 2

2026 7 mentions in 2 episodes 4 per episode
2025 4 mentions in 1 episode
2024 13 mentions in 3 episodes 4 per episode

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3 statements about OLMo, every show

LATENT SPACE Assertion Supported
OLMo 3 injects thinking traces during mid-training rather than post-training
“So, with the instruct variant, they do not have any thinking data in the post-training phase, but they do mention that we are going to put, like this is the line that they write, there is some intentional addition of thinking traces in the mid-training phase o…”
Pratyush Maini Feb 10, 2026 ▶ 14:48 ⚡️ Reverse Engineering OpenAI's Training Data — Pratyush Maini, Datology
LATENT SPACE Disclosure
Soldani: Ai2 Trains OLMo Using Community Datasets and Other Models' Outputs
“We see a lot of these even in our own work of like, you know, as we iterate in the various version of Olmo it's not just like every time we collect from scratch all the data. No, the first step is like, okay, what are the cool data sources and datasets people …”
Luca Soldani Dec 23, 2024 ▶ 4:55 Best of 2024: Open Models [LS LIVE! at NeurIPS 2024]
a16z Assertion Supported
Nous Research replicates DisTrO training results using Allen AI's OLMo framework
“And we've re-implemented now a third time in their framework, and we're able to reproduce their training run exactly, and then did it again with Distro, got the exact same results we got with Natron and stuff.”
Jeff Schmidt Oct 1, 2024 ▶ 37:50 The Quest for Community-Trained Open Source AI Models

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