DeepSeek-R1
also referred to as: deepseek r1
part of DeepSeek
7 statements across 5 episodes · 2 bullish · 1 bearish · 5 people on the record · first statement Jan 24, 2025 by Shawn Wang · said 74 times in 25 episodes since 2025 · across every show →
Mentions by year
brought up most by Shawn Wang (11), Will Brown (5), Nathan Lambert (4), Swyx (Marcos Swix) (2), Stephanie Palazzolo (2), Rishabh Agarwal (2), Marc Andreessen (2), Ethan Sutin (2)
tap a year for its mentions
2026 5 mentions in 4 episodes 1 per episode
- Marc Andreessen introspects on Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"
- Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
- Goodfire AI’s Bet: Interpretability as the Next Frontier of Model Design — Myra Deng & Mark Bissell
- Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah Hill-Smith
- every mention in 2026, scene by scene →
2025 69 mentions in 21 episodes 3 per episode
- The Unreasonable Effectiveness of Reasoning Distillation: using DeepSeek R1 to beat OpenAI o1
- S1: the $6 DeepSeek R1 Competitor (ft. Entropix)
- The RLVR Revolution — with Nathan Lambert (AI2, Interconnects.ai)
- How Zyphra went all-in on AMD + Why Devs feel faster with AI but are slower — with Quentin Anthony
- smol agents are all you need
- 2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- ⚡️Multi-Turn RL for Multi-Hour Agents — with Will Brown, Prime Intellect
- [State of AI Papers 2025] Fixing Research with Social Signals, OCR & Implementation — Team AlphaXiv
- 13 more episodes that year, every mention in 2025 →
Everything said about DeepSeek-R1, oldest first
Jan 24, 2025 neutral
Feb 13, 2025 negative
Apr 21, 2025 bullish
Packer: Sleep-time compute offers Pareto improvements across Claude 3.7 and DeepSeek
“It's like pretty consistent across like both 3.7 deep seek, three mini, which all like the way you actually scale the x-axis here is fundamentally quite different in each case with 3.7 extended thinking mode. The parameter you provide to scale it is different …”
Jul 31, 2025 positive
Lambert: Reasoning models solved basic skills; planning is the next frontier
“So I came up with four and the foundational one was skills, which is What I would say that we have already done with O-one and R-one, which is you do a lot of RL, you show the inference time scaling works and you get really high benchmark numbers. And then the…”
Jul 31, 2025 neutral
Jul 31, 2025 neutral
Lambert: SimpleQA benchmark scores drop across reasoning models tested without tools
“You look at all the evals from reasoning models, and one of the trends is that, like simple QA numbers all drop. It's like DeepSeq R-one to the new R-one, it goes down. It's like all the new, like, QN-II to QN-III, simple QA goes down, at least when you're eva…”