Gemini 1.5, every mention

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every year anyone Shawn Wang 12Usama Shafqat 2Arush Sehgal 2Alistair Pullen 2Vibhu Sapra 1Ronak Malde 1Misha Laskin 1Logan Kilpatrick 1Jonathan Frankle 1Jeff Dean 1

Verbatim, from the transcripts: the passages where Gemini 1.5 comes up

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⚡️Every product of the future will be a living system — Ronak Malde, Trajectory.ai Jun 21, 2026 · 1 mention

The AI Frontier: from Gemini 3 Deep Think distilling to Flash — Jeff Dean Feb 12, 2026 · 1 mention

  • ▶ 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…

Solve coding, solve AGI [Reflection.ai launch w/ CEO Misha Laskin] Mar 7, 2025 · 1 mention

  • ▶ 22:23 Misha Laskin Now, of course, there are tricks you can do to make your context longer, which is like the stuff we did in Gemini 1.5.

Gemini 2.0 Flash and Flash Thinking: the new SOTA models for the agentic era Feb 28, 2025 · 1 mention

  • ▶ 26:47 Logan Kilpatrick Emmanuel Taropa talking about long context and Flash AB, Tulsi Doshi, who's the product director for Gemini, and then Jack Ray, actually the co-lead for Reasoning Models, and I just recorded an episode.

Why is everyone cloning Deep Research? Feb 18, 2025 · 4 mentions

  • ▶ 10:10 Shawn Wang So, so, 1.5 pro with deep research is a special edition of 1.5 pro. 2 times in the scene
  • ▶ 39:27 Arush Sehgal Separately, they've also been really good at, you know, and maybe Morgan, you want to chime in here, just extracting the most out of Gemini 1.5 pro. 2 times in the scene

DeepSeek V3, SGLang, and the state of Open Model Inference in 2025 (Quantization, MoEs, Pricing) Jan 19, 2025 · 1 mention

  • ▶ 14:41 unnamed speaker I went to Jeff Dean's session in Europe's, uh, and he also mentioned as well that I think one of the Gemini, I think Gemini F-Five Pro is an MOE, which I don't think we knew before that.

2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents Jan 1, 2025 · 10 mentions

  • ▶ 11:38 Shawn Wang Gemini has basically launched a price war at the low end, um, with Gemini Flash, uh, being basically free for personal use. 3 times in the scene
  • ▶ 1:17:15 Shawn Wang Um, but more, more importantly, I think, uh, you can see the more recent launches like Cloud Three Opus, which launched in March this year, um, now basically superseded completely, completely dominated by Gemini 1.5 pro, which is both… 4 times in the scene
  • ▶ 1:17:56 Shawn Wang Gemini 1.5 flash and Mr. 3 times in the scene

Best of 2024 in Vision [LS Live @ NeurIPS] Dec 22, 2024 · 1 mention

  • ▶ 54:58 unnamed speaker This is the year that vision language models became mainstream, with every model from GPT-Forty to One, to Claude Three, to Gemini One, and Two, to Llama 3.2, to Mistral's Pix-Trol, to AI-Two's Pixmo, going multimodal.

0 to over $8M ARR in 2 months as a Claude Wrapper (Bolt.new, Qodo) Dec 2, 2024 · 1 mention

How NotebookLM Was Made Oct 25, 2024 · 2 mentions

[Paper Club] Molmo + Pixmo + Whisper 3 Turbo - with Vibhu Sapra, Nathan Lambert, Amgadoz Oct 13, 2024 · 1 mention

  • ▶ 4:23 Vibhu Sapra They do augment it a little bit, but point being, they can get better than Gemini, 1.5, better than Claude, 3.5 sonnet, better than GPT for V at a much smaller size with about a million samples of data, which is very impressive, right?

Is finetuning GPT4o worth it? Aug 22, 2024 · 2 mentions

  • ▶ 30:41 Alistair Pullen So, like, as soon as you can fine-tune Gemini 1.5, then you best be sure that Genie will have, will work, will run on Gemini 1.5, and, like, we'll probably get very good performance out of that. 2 times in the scene

State of the Art: Training 70B LLMs on 10,000 H100 clusters Jun 25, 2024 · 1 mention

  • ▶ 53:43 Jonathan Frankle Like, especially, I think the Gemini 1.5 paper mentions this, and I don't remember when the Lama three paper mentions this, but it's kind of,

How to train a Million Context LLM — with Mark Huang of Gradient.ai May 31, 2024 · 1 mention

  • ▶ 35:40 unnamed speaker Like, if you, if you, uh, do a deep dive at the Gemini, uh, one five, uh, technical paper, which they just updated with, like, it was a fantastic paper with new updates.
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