Paige Bailey
where else to find them
website:https://webpaige.dev
github:dynamicwebpaige
bluesky:dynamicwebpaige.bsky.social
linkedin:dynamicwebpaige
speakerdeck:dynamicwebpaige
devto:dynamicwebpaige
what they talk about
all 10 in the filters
where they keep going back
- Optimized AI Conference2 editions2025–2026
all 13 in the filters
on a stage with
- Guillaumeonce
- Josh Gordononce
- Joshua Sonce
all 8 in the filters
who talks about the same things
- Karl Weinmeister13 talks
- Zack Akil8 talks
- Michele Catasta4 talks
- Sara Robinson17 talks
- Chip Huyen10 talks
- Philipp Schmid9 talks
| title | conference | date |
|---|---|---|
| Prompt to Pipeline: Building with Google's Gen Media Stack | AI Engineer Europe 2026 | 2026-04-08 |
Feeds Wind in the Willows through Gemini to produce character portraits with Nano Banana, animate scenes with VO and score chapters with LIA, then stitches… | ||
| Build & deploy AI-powered apps | AI Engineer Europe 2026 | 2026-04-08 |
Live demos show how to go from idea to running prototype using AI Studio Build + Antigravity: selected models (Gemini 3.1 Pro/Flash/Flash‑Lite, Gemma 4, VO 3.1… | ||
| Agentic Systems: Leadership, Risk, and Accountability | Optimized AI Conference 2026 | 2026-03-30 |
Panelists claim real agentic systems act autonomously rather than just chat back and forth and show concrete setups: fleets of agents running 24/7 using… | ||
| New Renaissance of Building | Optimized AI Conference 2026 | 2026-03-30 |
Demonstrates concrete claims and tools: builds and deploys a working web app in under five minutes using AI Studio with Firebase and Google OAuth and deploys… | ||
| Building with Gemini: AI Studio, Antigravity, and Google DeepMind's Latest Models | AI Coding Summit 2026 | 2026-02-26 |
Paige from DeepMind presents new software tools and models like Embeddings 2.0, Nano Banana 2, Lyria 3, Genie 3, Gemini 3.1 Pro, and Flashlight. Projects… | ||
| Veo 3 for Developers | AI Engineer World's Fair 2025 | 2025-06-03 |
Veo 3 claims end-to-end synchronized audio generation paired with video so a single text or image prompt yields dialogue, sound effects, and music without… | ||
| Building at the Speed of Thought | Optimized AI Conference 2025 | 2025-04-14 |
Claims a near‑term model that "writes code better than any human" and shows concrete demos: Gemini 2.5 Pro analyzing an 88,000‑token five‑minute video… | ||
| Introduction to Gemini APIs and AI Studio | Women in AI Summit 2024 | 2024-12-03 |
Demo of Gemini APIs and Google AI Studio shows model choices (Gemini 1.5 Pro, Gemini 1.5 Flash, Flash 8B) with a 2 million token context window and UI features… | ||
| Paige Bailey, ETLS Vegas (99) | Enterprise Tech Leadership Summit Las Vegas 2024 | 2024-08-20 |
Gemini ingests recorded user sessions and automatically produces detailed friction logs with timestamps, quoted user actions, and classified error types, then… | ||
| Paige Bailey, ETLS Vegas (23) | Enterprise Tech Leadership Summit Las Vegas 2024 | 2024-08-20 |
A PRD feeds into Gemini which decomposes PRD into subtasks and creates a ticket per subtask, then assigns an agent or person and loops until the software… | ||
| Paige Bailey, ETLS Vegas (00) | Enterprise Tech Leadership Summit Las Vegas 2024 | 2024-08-20 |
Generative AI is changing how products are built at Google by moving large research models out of internal sandboxes and into real user surfaces and developer… | ||
| Paige Bailey, ETLS Vegas (06b) | Enterprise Tech Leadership Summit Las Vegas 2024 | 2024-08-20 |
Demonstrates that Gemini processes recorded user sessions and generate the detailed friction log from raw video, timestamps where users struggle, and produces… | ||
| Paige Bailey, ETLS Vegas (06) | Enterprise Tech Leadership Summit Las Vegas 2024 | 2024-08-20 |
Google describes a code AI suite built on over a trillion tokens and 500,000 aggregate years of engineering telemetry and 80 million code review edits powering… | ||
| Paige Bailey, ETLS Vegas (20) | Enterprise Tech Leadership Summit Las Vegas 2024 | 2024-08-20 |
Describes using a super large context window model to ingest and cluster feedback from tens of thousands to hundreds of thousands of forum posts GitHub issues… | ||
| Paige Bailey, ETLS Vegas (05) | Enterprise Tech Leadership Summit Las Vegas 2024 | 2024-08-20 |
Google describes a small, cheap, fast LLM that powers billions of users and claims it creates a new quadrant of model performance by trading size for latency… | ||
| AI for enterprise teams | Vercel Ship 2024 | 2024-05-23 |
Enterprises start by fixing data and data management and building a strong evaluation framework before choosing models; real wins are concrete: a healthcare… | ||
| Swift for TensorFlow: Machine Learning with No Boundaries | Scale By The Bay 2019 | 2019-11-13 |
Swift for TensorFlow puts differentiable programming into the language so models differentiate with a small prefix, interoperates with C/C++ and Python, and… | ||
| Swift for TensorFlow: machine learning with no boundaries. | try! Swift NYC 2019 | 2019-09-09 |
Swift for TensorFlow claims automatic differentiation built into the language, C++ interop with no wrappers, and cross‑platform deployment to Linux, macOS… | ||
| Getting Started with TensorFlow 2.0 | Google I/O 2019 | 2019-05-07 |
TensorFlow 2.0 alpha focuses on ease of use and reproducible examples that run in Colab runnable notebooks with one-click installs; many demos are under 50… | ||
| Deep Learning with R | rstudio::conf 2019 | 2019-01-15 |
TensorFlow 2.1 is available with TPU support and a focus on eager execution so models are debuggable yet Autograph and tf.function convert Python into… | ||
| Top 10 Machine Learning Gotchas | Codemotion Madrid 2017 | 2017-11-24 |
Uses a 1,000‑row UC Irvine German credit set with 17 features (≈70% repay) and trains a C5.0 decision tree that yields 13.9% error on holdout, then ensembles… | ||
| Applied AI: Real-world use cases for Microsoft's Azure Cognitive Services | Jazoon Zurich Autumn 2017 | 2017-10-26 |
Shows a concrete Jabil circuit-board pipeline: use Project Pendleton for automated data cleaning, train on a deep learning VM with GPU via the Azure Machine… | ||
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