DeepSeek-R1
part of DeepSeek
3 statements across 3 episodes · 0 bullish · 0 bearish · 3 people on the record · first statement Nov 20, 2025 by Nathan Lambert · said 9 times in 3 episodes since 2025 · across every show →
Mentions by year
brought up most by Sebastian Raschka (7), Mitch Trojanowski (1), Jeremy Howard (1)
tap a year for its mentions
2026 8 mentions in 2 episodes 4 per episode
Everything said about DeepSeek-R1, oldest first
Nov 20, 2025
Ai2 fine-tuned OLMo 3 using Chinese teacher models DeepSeek-R1 and Qwen
“So in our case, we took a mix of existing data sets like Open Thoughts three and modified it, which is from Bespoke AI labs, a startup. And then we also generated a whole bunch of new data. So we ended up using a mix of teachers from like Deep Seek R one, oh f…”
Jan 29, 2026
DeepSeek-R1 cost roughly $300,000 to train, 10x cheaper than DeepSeek-V3
“Deep seek version three, they had like a five million dollar price tag on that given the, I think two dollars per GPU, they assume whether that's a correct assumption or not it's a different question, but if you compare it relative to the cost of R one, I thin…”
Aug 5, 2026 neutral
Trojanowski: DeepSeek-R1 succeeded by scaling outcome supervision over process supervision
“If you look, you know, if you fast forward a bit and you look at the, like the DeepSeq R-one paper where they effectively laid out, you know, what I think all the labs were doing at that time, or at least OpenAI was doing in terms of you know, RLVR reasoning f…”