Gemini, every mention

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Verbatim, from the transcripts: the passages where Gemini comes up

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▶ 3:18 Jared Friedman How about Gemini? 2 times in the scene
▶ 3:21 Diana Hu Gemini's also pretty much has been climbing up pretty, pretty high. 10 times in the scene
▶ 3:34 Diana Hu And, ah, we've personally been using also a lot of Gemini three point
▶ 5:27 Garry Tan And I don't expect Gemini to ever have 2 times in the scene
▶ 6:12 Garry Tan But simultaneously, I'm sure you took the, uh, PDFs and just like dropped them into Gemini and said like, well, summarize and tell me what's important for me. 2 times in the scene
▶ 7:43 Diana Hu For example, I heard from the startup, they use Gemini three to do the context engineering, which they actually then fed into open AI to execute it.
▶ 8:52 Harj Taggar But then to me, at least as all vibes based, like Gemini surge, especially over the last few months, just feels like it returns us to a world of where exactly that, like the models are all essentially commoditizing each other.
▶ 10:44 Garry Tan You know, I think I'm still a long-term buy and hold, honestly, but for the moment, people are like, oh, well, Gemini's so good, and all the, you know, nobody seems to be NVIDIA only now, and everyone's buying AMD, and everyone's, you…

▶ 19:00 Garry Tan I tried, you know, if it failed with Gemini three, then I'll try it with, you know, Claude, I'll try it with GPT 5.1, like

▶ 5:38 Jake Heller But now that AI is here, you can have thousands of instances of Gemini, two point O Flash or whatever, read over every document.

▶ 38:41 Nick Joseph Gemini at 90%, and that's like a big difference.
▶ 59:28 Ankit Gupta Like, I saw there's like a Gemini diffusion model, and I think about that in the space I used to be in, where, um, there's a lot of discrete diffusion models being used in protein design, for example, the space where my startup was.

▶ 3:26 Max Junestrand Exemption from human review when you look at the way Azure and AWS is structured, and we, we kind of jumped through all those hoops and just built a system that was compliant for law firms to work with, and then very quickly as the general…
▶ 24:10 Max Junestrand So we, we use AWS and Claude and Gemini and GPT and Mistral kind of interchangeably.
▶ 38:11 Max Junestrand I mean, Google is building Google Workspace with Gemini.

▶ 15:53 Aravind Srinivas Now at least you're like, oh, I first go ask this app, like I'll ask Google, or I'll ask ChatGPT, or I'll ask Perplexity, or I'll ask Gemini, and then maybe you don't even ask Google anymore, you just ask the AI apps, and there are a bunch…
▶ 35:02 unnamed speaker And perplexity sort of has that issue too with, like, a lot of LLMs adding search, like TadGBT, Gemini, companies like Cohere.

▶ 6:42 Andrej Karpathy So, um, LLM labs like OpenAI, Gemini, Anthropica, et cetera, they spend CapEx to train the LLMs, and this is kind of equivalent to building out a grid, and then there's OpEx to serve that intelligence over APIs to all of us. 2 times in the scene

▶ 12:18 Harj Taggar Um, one thing I found useful is as you're using it, if you just note down in a Google doc things that you're seeing, just, um, the outputs not being how you want or ways that you can think to improve it, you can just write those in note…
▶ 13:00 Jared Friedman Cause if you're just using Gemini via the API until recently, you did not get the thinking traces and like the thinking traces are like the critical debugging information to like, understand like 3 times in the scene

▶ 1:40 Pete Koomen The example that I chose in my essay, uh, was to pick on the integration that the Gmail team built between their AI model, Gemini, and Gmail's, uh, interface that, uh, this is a little draft writing agent that can create 3 times in the scene
▶ 8:33 Pete Koomen What I've done here is I just take the little program in my brain that is used for writing emails, and I've done my best to explain to Gemini how I do that.
▶ 14:07 Pete Koomen And I'm just explaining to Gemini how I do this work so that it can do it on my behalf.

▶ 10:20 Tom Blomfield Maybe it's Gemini.
▶ 15:55 Tom Blomfield For example, at the moment, Gemini seems best for whole code-based indexing and coming up with implementation plan, while Sonnet 3.7, to me at least, seems like the leading contender to actually implement the code changes.

▶ 32:51 Aravind Srinivas They're still building Gemini and, like, on the new app.

▶ 17:15 Bob McGrew And so I think we're going to see this a lot going forward, especially if you, if you look at, you know, the Sonnet versus Haiku, you know, Gemini versus Gemini flash, you know, O-one versus O-one mini, four O-mini, um, every lab has…
▶ 17:15 Bob McGrew And so I think we're going to see this a lot going forward, especially if you, if you look at, you know, the Sonnet versus Haiku, you know, Gemini versus Gemini flash, you know, O-one versus O-one mini, four O-mini, um, every lab has…

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