Google DeepMind, every mention
22 scenes (2024), the whole family · ← back to Google DeepMind
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every year 2024 anyone Shawn Wang 21Omar Sanseviero 10Ronak Malde 5Alessio Fanelli 5Dr. Jasper Zhang 4Anjney Midha 4Yi Tay 3Usama Shafqat 3Logan Kilpatrick 3Pim de Witte 2
Verbatim, from the transcripts: the passages where Google DeepMind comes up
Agents @ Work: Dust.tt — with Stanislas Polu
- ▶ 8:21 Shawn Wang There's a bit of work with, like, Lean, and then with, uh, you know, more recently with, uh, with DeepMind doing, like, scoring, like, Silver on the IMO. 2 times in the scene
- ▶ 13:54 Stanislas Polu What has been useful to the team and, and with the DeepMind results shows that it was the right approach.
In the Arena: How LMSys changed LLM Benchmarking Forever
- ▶ 23:12 Alessio Fanelli We also had Nicholas Carlini from the mind on the podcast.
How NotebookLM Was Made
- ▶ 1:54 Raiza Martin We work super closely with DeepMind.
- ▶ 14:28 Usama Shafqat Like Ryza said earlier, like we work with the DeepMind audio folks pretty closely.
- ▶ 56:30 Usama Shafqat For example, is also the models built by the same like sort of deep mind speech team. 2 times in the scene
- ▶ 1:10:52 Alessio Fanelli It's funny because we had a Nicola Scarlini from DeepMind on the pod 2 times in the scene
Singapore: the AI Engineer Nation — with Minister Josephine Teo
- ▶ 39:43 Shawn Wang Let's go and get Anthropik, Google DeepMind, all these, all these guys, the AI creators to move to Singapore.
Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
- ▶ 35:23 Shawn Wang Do you have thoughts on, uh, alpha proof that the new DeepMind paper?
llm.c's Origin and the Future of LLM Compilers - Andrej Karpathy at CUDA MODE
- ▶ 0:36 unnamed speaker An ex-Google Brain, ex-DeepMind, ex-Tesla, Mr.
The Ultimate Guide to Prompting - with Sander Schulhoff from LearnPrompting.org
- ▶ 28:53 Shawn Wang That's a deep mind one.
Building AGI with OpenAI's Structured Outputs API
- ▶ 42:58 Alessio Fanelli We had one episode with, um, Nicola Scarlini from DeepMind, and we actually talked about how some people don't actually get to the
Answer.ai & AI Magic with Jeremy Howard
- ▶ 14:52 Jeremy Howard You know, multiple of Stanford, Meta, DeepMind, OpenAI, Berkeley, Oxford. 2 times in the scene
Segment Anything 2: Memory + Vision = Object Permanence — with Nikhila Ravi and Joseph Nelson
- ▶ 1:29 Nikhila Ravi And in my machine learning class in undergrad, I remember one day our professor came in and that was when Google acquired DeepMind.
Training Llama 2, 3 & 4: The Path to Open Source AGI — with Thomas Scialom of Meta AI
- ▶ 52:10 Thomas Scialom I think recently there's a paper from DeepMind on mixture of experts with, like, a skip layer, mixture of
The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
- ▶ 32:00 Yi Tay So you, you, like, work with them, like, the big goal is not about, like, I learned this, I mean, this is, like, probably a career mistake in my early days, it was that, like, you know, instead of, like, focusing on, like, so-called…
- ▶ 41:20 Yi Tay so I, I met some of my other co-founders while we were collaborating at DeepMind. 2 times in the scene
LLM Asia Paper Club Survey Round
- ▶ 41:57 unnamed speaker Um, this is now seen as the most, uh, promising line of mecanterp work within both Anthropic and DeepMind.
Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
- ▶ 1:05:24 Soumith Chintala Um, OpenAI stopped open sourcing their stuff, and, ah, DeepMind kind of, you know, didn't, like, you know, all the other cloud and all these other, like, providers, they, they didn't, ah, open source their stuff.
The Four Wars of the AI Stack - Dec 2023 Recap
- ▶ 19:14 unnamed speaker Andre Karpathy, um, at NeurIPS highlighted this paper from DeepMind where, um, they were, they were bootstrapping synthetic data that could be verifiably, uh, proven correct.
The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert
- ▶ 0:27 unnamed speaker On your PhD, and you also interned at FAIR and DeepBind.
- ▶ 14:06 Nathan Lambert I think the reason why it's not really talked about is just because the RLHF techniques that people use were built in, like, labs like OpenAI and DeepMind, where there are some of these people, they have, they, these places do a pretty…