Gemini

Why It Belongs

Gemini appears as a high-confidence tool, platform, model, protocol, product, or service in the AI Engineer World's Fair 2026 corpus.

This page records confirmed mentions and keeps them separate from broader inferred relevance.

Confirmed Evidence

Official Schedule

2026 06 29 louis fran ois bouchard context engineering in 2026 compaction memory and cost — Context Engineering in 2026: Compaction, Memory & Cost (track TBD / Track 6)
2026 06 29 simran arora can llms write fast multi gpu kernels we built a benchmark to find out — Can LLMs write fast multi-GPU kernels? We built a benchmark to find out. (track TBD / Expo Stage 3 SW)
2026 06 29 andrew dai the best models still reason like toddlers — The Best Models Still Reason Like Toddlers (Vision & OCR / Track 2)
2026 06 29 bohan li realtime voice agents with frontier intelligence — Realtime Voice Agents with Frontier Intelligence (Voice & Realtime AI / Track 6)
2026 06 29 niels rogge how i automate my own job at hugging face using agents — How I automate my own job at Hugging Face using agents (AI Architects: Show my Workflow / Leadership 2)
2026 06 30 benoit schillings research to reality with google deepmind — Research to Reality with Google DeepMind (Autoresearch / Main Stage)
2026 06 30 thor schaeff build realtime multimodal agents with gemini live — Build realtime multimodal agents with Gemini Live (Workshops Day 2 / Track 4)
2026 06 30 averi kitsch build time vs run time why your dev tools will fail in production — Build-Time vs. Run-Time: Why Your Dev Tools Will Fail in Production (Context Engineering / Track 8)
2026 06 30 thor schaeff build realtime multimodal agents with gemini live continued 2 — Build realtime multimodal agents with Gemini Live (continued 2) (Workshops Day 2 / Track 4)
2026 06 30 thor schaeff build realtime multimodal agents with gemini live continued 3 — Build realtime multimodal agents with Gemini Live (continued 3) (Workshops Day 2 / Track 4)

Public YouTube Metadata

YouTube Bc6Ojl2XS1w — From Transcription to Live Music: Gemini's Audio Stack — Thor Schaeff, Google DeepMind
YouTube owH1f0N-keY — Gemini Nano on device — Florina Muntenescu & Oli Gaymond, Google DeepMind
YouTube zZsTVBXcbow — How Google DeepMind is researching the next Frontier of AI for Gemini — Raia Hadsell, VP of Research
YouTube fgkXEIbZpGc — Building in the Gemini Era – Kat Kampf & Ammaar Reshi, Google DeepMind
YouTube LxQsQ3vZDqo — Teaching Gemini to Speak YouTube: Adapting LLMs for Video Recommendations to 2B+DAU - Devansh Tandon
YouTube zK9lYrLbjSg — AI Engineering with the Google Gemini 2.5 Model Family - Philipp Schmid, Google DeepMind
YouTube 8EQo4J2BWKw — Thinking Deeper in Gemini — Jack Rae, Google DeepMind
YouTube wE1ZCmCLP5g — A year of Gemini progress + what comes next — Logan Kilpatrick, Google DeepMind
YouTube fWY1FQwpWkY — Milliseconds to Magic: Real‑Time Workflows using the Gemini Live API and Pipecat
YouTube ySYLsoAhXmg — AI Engineers: The Next Generation — Stefania Druga, Google Gemini

Resource Pages

Slide/OCR Pages

Topic Pages

voice agents

Transcript Files

raw/sources/youtube-transcripts/QuuIywMG4s8.txt
raw/sources/youtube-transcripts/SS-A8sE7hkw.txt
raw/sources/youtube-transcripts/UM6sFg_jdlE.txt
raw/sources/youtube-transcripts/UPwGaM2MKHY.txt
raw/sources/youtube-transcripts/Xfl50508LZM.txt
raw/sources/youtube-transcripts/_B4Pv9ttFgY.txt
raw/sources/youtube-transcripts/dvft0Gp9sEE.txt
raw/sources/youtube-transcripts/fWXJM-J0ZB8.txt
raw/sources/youtube-transcripts/ghJmWQCIHRM.txt
raw/sources/youtube-transcripts/hCMrEfPG2Yg.txt

Confidence

High confidence for presence in the corpus. Interpret broader importance through the linked schedule, transcript, slide, and topic evidence.