Gemini, every mention
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every year anyone Shawn Wang 102Alessio Fanelli 35Logan Kilpatrick 23Jeff Dean 19Shrestha Basu Mallick 13Omar Sanseviero 11Arush Sehgal 10Yi Tay 9Pratik Bhavsar 9Dax Reed 9
Verbatim, from the transcripts: the passages where Gemini comes up
Orbs: Shifting Coding to Cloud — Quinn Slack, Amp Code
- ▶ 39:10 Shawn Wang And, like, him writing that is, like, definitely a dig at Gemini being, like, thousands of people.
⏭️ Forward Deployed: Voice AI on what works in 2026
The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO
- ▶ 45:22 unnamed speaker Gemini, OpenAI, Claude.
🔬 "The Most Innovative Diffusion Research Is Happening in Drug Discovery, Not Image Generation"
- ▶ 55:32 Evan Feinberg So, um, Gemini does pretty well on Sweebench. 3 times in the scene
⚡️Every product of the future will be a living system — Ronak Malde, Trajectory.ai
- ▶ 1:56 Ronak Malde I actually had the option to go to Google for, to work on Gemini post training.
- ▶ 5:55 Ronak Malde And so then, you know, we, we went over to DeepMind and launched anti-gravity, got to contribute to Gemini three as well.
- ▶ 8:24 Ronak Malde So he was on the Gemini 1.5 robotics release.
Why AI Labs With Unlimited GPUs Still Fail — Anjney Midha, AMP
- ▶ 34:27 Anjney Midha Now, when he was inside Google, he was sitting next to the Gemini team.
When AI Agents Run Businesses — Lukas Petersson and Axel Backlund of Andon Labs
- ▶ 0:00 Lukas Petersson Gemini and OpenAI don't behave this way.
- ▶ 17:35 Lukas Petersson I think Gemini was like trying to be the long context guys at the time.
- ▶ 17:44 unnamed speaker Let's talk about Gemini.
- ▶ 52:10 Lukas Petersson So like, there's quite a lot of tokens in all of that, and it happens a lot of times, a lot of times, and then you compare it to like OpenAI and Gemini, and it almost never happens.
Inside xAI: Building Grok Imagine in 3 Months, Videogen vs World Models, and Video Agents— Ethan He
- ▶ 1:10:29 Shawn Wang But also, I think, like, the interruption was better than Gemini.
- ▶ 1:18:21 Ethan He For example, like, uh, Gemini Omni, since they said it's Omni, I believe it's a, it's a single model.
- ▶ 1:19:28 unnamed speaker But I guess in the new Gemini Omni, you would be able to, as long as you have.
- ▶ 1:26:05 unnamed speaker And same with Gemini Nano Banana.
⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
- ▶ 2:13 Omar Sanseviero Yeah, so actually, if you install, like, if you buy a Pixel phone or a high-end Samsung, they come with a Gemini Nano, and Gemini Nano is packed into the operating system, and Gemini Nano is really built on top of Gemma. 3 times in the scene
- ▶ 2:39 Omar Sanseviero So pretty much when you buy, like, these high-end phones, you can already use a Gemini out of the box.
- ▶ 4:31 Alessio Fanelli When would someone want to do that versus just use Gemini? 5 times in the scene
- ▶ 6:35 Omar Sanseviero Yeah, so Gemma four was built on the same research as Gemini three, which pretty much means that we benefited from all of the improvements that happened with Gemini three. 3 times in the scene
- ▶ 11:01 Omar Sanseviero We did a Gemini diffusion last year at I.O., which is very cool because you can generate code extremely quickly, right?
- ▶ 28:19 Omar Sanseviero And yeah, now we have like AI Studio, the Gemini API, now Kaggle, Kaggle is
- ▶ 28:53 Omar Sanseviero And I think Kaggle benchmarks can connect very well with how we think about Gemini and the capabilities. 2 times in the scene
Inside Abridge: The AI Listening to 100 Million Doctor Visits — Abridge's Janie Lee & Chai Asawa
- ▶ 23:45 Shawn Wang Or is there some more native, like genuinely real-time in the sense that OpenAI has a real-time API or Gemini has a real-time API?
⚡️ Competing with ChatGPT and Sierra, building a $10M ARR company — Yasser Elsaid, Founder, Chatbase
- ▶ 12:51 unnamed speaker Do you think, um, like cross, so it's primarily OPTI, it's Claude, it's Gemini, across everything, like how many are you at now? 3 times in the scene
AI-Native Engineering: 100% adoption, 5x search throughput, unlimited tokens — Mikhail Parakhin
- ▶ 12:40 Mikhail Parakhin Like this, this for me, for me, actually, the important metric is the ratio of budget spent during code generation versus, uh, spent, uh, expensive tokens like GPT, uh, or, uh, DeepThink from Gemini, you know, checking on PR reviews.
- ▶ 12:40 Mikhail Parakhin Like this, this for me, for me, actually, the important metric is the ratio of budget spent during code generation versus, uh, spent, uh, expensive tokens like GPT, uh, or, uh, DeepThink from Gemini, you know, checking on PR reviews.
- ▶ 48:06 Mikhail Parakhin It looks Gemini-ish.
⚡️ How to turn Documents into Knowledge: Graphs in Modern AI — Emil Eifrem, CEO Neo4J
- ▶ 20:32 Emil Eifrem And so whenever we, we default to Gemini and we still do like some fine tuning and even some post processing. 2 times in the scene
Notion’s Sarah Sachs & Simon Last on Custom Agents, Evals, and the Future of Work
- ▶ 17:52 Sarah Sachs We gave him all the resources of working directly with Gemini and being able to like track the token usage and working through our endpoints.
Moonlake: Interactive, Multimodal World Models — with Chris Manning and Fan-yun Sun
- ▶ 38:39 Chris Manning When people are choosing to use, you know, GPT-V or Gemini or Claude, you know, individuals are trying out these different models and deciding, oh, I like the kind of answers that GPT-V gives me, or
Mistral: Voxtral TTS, Forge, Leanstral, & Mistral 4 — w/ Pavan Kumar Reddy & Guillaume Lample
- ▶ 3:26 unnamed speaker You were previously at Gemini, and you worked on post training for language models, and maybe like a lot of people will have less experience with audio models, just in general, compared to pure language.
⚡️Monty: the ultrafast Python interpreter by Agents for Agents — Samuel Colvin, Pydantic
- ▶ 16:47 Samuel Colvin So I use Claude Code, Codex, and Gemini. 7 times in the scene
- ▶ 16:53 Shawn Wang Gemini CLI, Gemini or Gemini. 4 times in the scene
⚡️ OpenClaw's Memory Sucks and the fix is simple — Dhravya Shah, Supermemory
- ▶ 18:16 Dhravya Shah And like in Gemini Flash or whatever, like you can just literally, the, the questions, the sessions themselves are short enough that you can
Why Your AI Agents Don’t Work with Dex Horthy of HumanLayer | In-Context Cooking
- ▶ 3:42 Dex Horthy According to SWIX, there are, there are many people who, who, uh, Gemini thinks it was Andre Karpathy. 2 times in the scene
Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
- ▶ 41:56 Alessio Fanelli I think there was like a lot of activity, like in the last few months where like the GPT 5.1 model came out and it's like, okay, then I guess Gemini, because they just threw that out. 2 times in the scene
- ▶ 48:46 Alessio Fanelli Like, you know, Gemini three score on Frontier Mad benchmark by January.
Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis
- ▶ 15:08 Doug O'Laughlin Is it better than a chat GPT agent mode or anthropics cloud code or Gemini CLI, whatever.
- ▶ 37:28 Doug O'Laughlin Um, they, they have a way to prioritize it, but it's like, it's like kind of like the Gemini version.
- ▶ 1:34:42 Doug O'Laughlin Pre Gemini three.
The End of SWE-Bench Verified — Mia Glaese & Olivia Watkins, OpenAI Frontier Evals
- ▶ 11:54 Olivia Watkins And in SweetBenchVerified, we found many instances of contamination across, um, like, across OpenEye models, across, like, Quad, uh, Opus, 4.5, Gemini Flash, and, and all of these, we saw things like regurgitating the ground truth…
The AI Frontier: from Gemini 3 Deep Think distilling to Flash — Jeff Dean
- ▶ 6:35 Jeff Dean Close, very close to your largest model performance with distillation approaches, and that, that seems to be, you know, a nice sweet spot for a lot of people because it enables us to kind of, for multiple Gemini generations now, we've been…
- ▶ 6:35 Jeff Dean Close, very close to your largest model performance with distillation approaches, and that, that seems to be, you know, a nice sweet spot for a lot of people because it enables us to kind of, for multiple Gemini generations now, we've been… 4 times in the scene
- ▶ 6:35 Jeff Dean Close, very close to your largest model performance with distillation approaches, and that, that seems to be, you know, a nice sweet spot for a lot of people because it enables us to kind of, for multiple Gemini generations now, we've been… 3 times in the scene
- ▶ 7:02 Shawn Wang Um, dare I ask, uh, so there was, it was, the original map was Flash Pro and Ultra. 2 times in the scene
- ▶ 7:37 Shawn Wang And then obviously I think the economy of flash is what's led to the total dominance. 6 times in the scene
- ▶ 9:21 Alessio Fanelli Does it feel like there's some breaking point for like the proto flash distillation, kind of like one generation delayed? 4 times in the scene
- ▶ 9:21 Alessio Fanelli Does it feel like there's some breaking point for like the proto flash distillation, kind of like one generation delayed? 3 times in the scene
- ▶ 13:03 Jeff Dean Uh, I mean, I think some of the long context capabilities of the, of the Gemini models that came, I guess, first in 1.5 really were about looking at, okay, we want to have, um, you know, immediately everyone jumped to like completely green… 3 times in the scene
- ▶ 13:03 Jeff Dean Uh, I mean, I think some of the long context capabilities of the, of the Gemini models that came, I guess, first in 1.5 really were about looking at, okay, we want to have, um, you know, immediately everyone jumped to like completely green…
- ▶ 16:56 Jeff Dean I mean, I think one of the things about Gemini's multimodal aspects is we've always wanted it to be multimodal from the start. 4 times in the scene
- ▶ 46:33 Shawn Wang Um, just to draw a bit on the IMO goal, um, I'm still not over the fact that a year ago we had alpha proof and alpha geometry and all those things, and then this year we were like, screw that, we'll just chuck it into Gemini. 2 times in the scene
- ▶ 49:58 Shawn Wang And, uh, and so it, you know, God knows like Gemini pro is like,
- ▶ 52:58 Jeff Dean We're probably not going to train Gemini on all possible robotics data. 3 times in the scene
- ▶ 1:03:06 Shawn Wang I know when the first Gemini paper came out, it was like a thousand coauthors. 4 times in the scene
- ▶ 1:18:09 Shawn Wang I wonder when Gemini will be able to build Spanner.
- ▶ 1:19:49 Shawn Wang And the multi-turn taking with a flash model is enough.
- ▶ 1:20:30 Shawn Wang And then meanwhile, you also have DeepThink, which is all the way on the other side. 2 times in the scene
⚡️ Reverse Engineering OpenAI's Training Data — Pratyush Maini, Datology
- ▶ 7:08 Pratyush Maini And so then I tried this across models, and I saw consistently across Grok, and GPT, and Gemini, that you were seeing this phenomena where models will, like, self-correct themselves quite a bit, and these were, like, non-thinking models.
Goodfire AI’s Bet: Interpretability as the Next Frontier of Model Design — Myra Deng & Mark Bissell
- ▶ 37:44 unnamed speaker There's like notebooks from the Gemini team, from Neil Nanda, or like, this is how you do it, just through the notebook.
Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay
- ▶ 0:55 unnamed speaker Is it GDM Singapore or Gemini Singapore? 3 times in the scene
- ▶ 13:38 Yi Tay But I think this year was the, we wanted to try to, like, use, actually use Gemini as an end-to-end model.
- ▶ 18:52 Yi Tay So I think this kind of fits that direction a little bit more where you have one model for, and then this model was also like launched as Gemini deep thing, as a general purpose Gemini deep thing.
- ▶ 23:30 Yi Tay So it was like a time where you just look at the score, you're like, like, I was even like, looking at the, watching the human participants, and then seeing like, what their scores were, because whether Gemini will get goal depends on…
- ▶ 24:23 unnamed speaker But like the fact that you can throw that system completely away and then just take existing Gemini and scale up, deep think, and then just run it for IMO gold. 3 times in the scene
- ▶ 24:23 unnamed speaker But like the fact that you can throw that system completely away and then just take existing Gemini and scale up, deep think, and then just run it for IMO gold. 2 times in the scene
- ▶ 26:54 unnamed speaker Pokemon is very interesting reasoning, visual reasoning, and just general long horizon agent planning benchmark, and I don't know, you seem to focus on it a lot, and I think Gemini did very well, so obviously, I think it's something that…
- ▶ 27:15 Yi Tay And I think that, I think Logan had this tweet recently about the recent Gemini tree on Pokemon Crystal.
- ▶ 30:15 unnamed speaker Like you give Gemini access to web search and you would say, okay, come try to collect all the Pokemon in a Pokedex.
- ▶ 40:12 unnamed speaker And just, and just to, you are, you are, you, do you have a special version of Gemini that you use internally that we don't have access to? 4 times in the scene
- ▶ 1:13:30 unnamed speaker Where the Gemini guy was talking, sorry, the YouTube guy was talking about how they use Gemini for their access. 3 times in the scene
- ▶ 1:19:08 Yi Tay I think that it's also a bit more like a soft, like setting the tone right for the start of the Gemini team in Singapore.
- ▶ 1:21:10 Yi Tay I was just talking about the deep thing and the IMO and stuff like that.
- ▶ 1:24:52 Yi Tay We're hiring, like, my, my team will work on like RL and reasoning for Gemini and Gemini deep thing.
- ▶ 1:24:52 Yi Tay We're hiring, like, my, my team will work on like RL and reasoning for Gemini and Gemini deep thing.
Brex’s AI Hail Mary — With CTO James Reggio (acquired for $5B by Capital One!)
- ▶ 29:14 James Reggio And so for instance, like we allow employees to basically go to in Slack and use conductor one to, uh, get a chat GPT, a cloud or a Gemini license.
Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah Hill-Smith
- ▶ 8:36 Micah Hill-Smith That in the extreme and like you get crazy cases, like back when I'm Googled a Gemini one when I ultra and needed a number that would say it was better than GPT four. 2 times in the scene
- ▶ 32:11 George Cameron So we saw a big jump in, this is accuracy, so this is just percent that they get, uh, correct, and Gemini three pro knew a lot more than the other models, and so big jump in accuracy, but relatively no change between the Google Gemini…
- ▶ 42:35 Micah Hill-Smith Then on the other side, and we're graining it, we're running it through a pipeline to extract visual and text versions of the files and be able to provide that to Gemini.
[State of MechInterp] SAEs in Production, Circuit Tracing, AI4Science, "Pragmatic" Interp — Goodfire
- ▶ 8:51 Mark Bissell Yeah, I know, ah, there's some stuff in Gemini three, um, Claude, I think Claude four, and it's definitely.
[State of AI Papers 2025] Fixing Research with Social Signals, OCR & Implementation — Team AlphaXiv
[State of Context Engineering] Agentic RAG, Context Rot, MCP, Subagents — Nina Lopatina, Contextual
- ▶ 2:32 unnamed speaker Gemini launched, uh, Gemini Nano in Chrome this year.
- ▶ 20:48 unnamed speaker I would say that both Amthropic and, I think, OpenAI and maybe Gemini as well, they're all doing, like, compaction inside the model with the, the, uh, each, literally each of their Frontier releases.
[State of Evals] LMArena's $1.7B Vision — Anastasios Angelopoulos, LMArena
- ▶ 13:58 Shawn Wang And so it's basically, like, I, I always think, like, well, you know, Gemini used to get a lot of complaints for generating, like, racist, racist images or whatever.
Steve Yegge's Vibe Coding Manifesto: Why Claude Code Isn't It & What Comes After the IDE
- ▶ 11:19 Steve Yegge Is just recently leapfrogged Cloud Code again because of Gemini three.
- ▶ 11:26 unnamed speaker And just to pre-warm you, I also want to talk about just Google in general and how this Gemini revolution has kind of changed Google's image.
- ▶ 29:16 Steve Yegge And now with Gemini, you can see now they've been shifting their focus gradually towards more AI, AI, and now it's starting to pay off for them.
- ▶ 31:55 Steve Yegge The frontier models, which means OSS models will be as good as Gemini three next summer.
SAM 3: The Eyes for AI — Nikhila & Pengchuan (Meta Superintelligence), ft. Joseph Nelson (Roboflow)
- ▶ 31:05 unnamed speaker I saw there's a mix of Lama three and Lama four here, but it looks like it does best with Gemini 2.5, which makes sense given this comparable set of MLMs.
- ▶ 32:45 Joseph Nelson So even comparing, even comparing like SAM-III and Gemini, let's say that we just want to have them do like a, an optic detection task here of finding, here we're going to prompt with a speedometer. 3 times in the scene
- ▶ 1:09:21 Pengchuan Zhang So like, kind of Gemini's story, we'll then kind of ask, we asked Gemini's story whether there's kind of some reflections there, and it says yes, then we can, then you can see that we can automatically, it's not gonna move the threshold… 3 times in the scene
The Future of Email: Superhuman CTO on Your Inbox As the Real AI Agent (Not ChatGPT) — Loïc Houssier
- ▶ 20:07 Loïc Houssier Uh, now we have Jim and I coming in and like in the room, like last week, like, okay, that one is a, is cool as well. 2 times in the scene
- ▶ 30:00 Shawn Wang So lots of credits for Gemini.
- ▶ 57:53 Loïc Houssier Like just, uh, I would say for notes, but like when Rahul is questioning the quality of our, uh, AI, uh, queries on superhuman, he's comparing us to Gemini, he's comparing us to, uh, OpenAI. 2 times in the scene
World Models & General Intuition: Khosla's largest bet since LLMs & OpenAI
- ▶ 32:26 Pim de Witte And so that, and the fact that they were, like, it's also quite interesting that that means that they can sort of use Gemini as, as 2 times in the scene
Anthropic, Glean & OpenRouter: How AI Moats Are Built with Deedy Das of Menlo Ventures
- ▶ 29:29 Shawn Wang I think OpenAI and Gemini are in this sort of price war a little bit with the, the Pareto frontier that I, I track, uh, in terms of like LMSYS versus the pricing.
⚡ Inside Google Labs: Building The Gemini Coding Agent — Jed Borovik, Jules + AIE CODE Preview
- ▶ 6:10 unnamed speaker Everything rebranded to become Gemini and, like, starting to push out Gemini where people were like, oh, like, did you know that Google, probably, like, Google's entire repo is, uh, probably about the same size as GitHub. 2 times in the scene
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