Who's Who of AI

Paige Bailey

AI developer relations

335 trust practitioner @dynamicwebpaige.bsky.social · 9,642 followers
Models & releases
Why they matter

AI developer relations with public evidence across Models & releases.

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✨ Keep it simple, make it scale. AI should be about empowering users and building understanding. 👩‍💻 AI Developer Experience @ Google DeepMind, ex-Github, ex-Google
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Articles & links

💗 NanoBanana 2 Lite is my go-to now for image generation and editing! Very, *very* high quality, at only a small fraction of the price of our other image editing models. 🙌 Bonus: Omni is now available via the API! Create and edit *even videos* with natural language: 🔗 blog.goo…

Start building with Nano Banana 2 Lite and Gemini Omni Flash blog.google
AI Weekly's analysis →
  • Nano Banana 2 Lite generates images in four seconds at $0.034 per 1,000 images, targeting high-volume drafting and iteration over premium creative output.
  • Gemini Omni Flash conversational editing covers character swaps, relighting, and style transfers at $0.10 per second for clips up to 10 seconds.
  • C2PA content credentials and SynthID watermarks ship on by default for both models, putting Google ahead on enterprise content provenance at launch.
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View on Bluesky · ♥ 15 ↻ 3 ↩ 2 · 4 from the directory shared this · 80d ago

🐈 Gobsmacked by the creativity and the consistency in the fal x Sequoia x DeepMind 72-hour hackathon, organized by Cerebral Valley! Huge congrats to Christian Luoma for their 1st place win. 👇 Watch their short film below (and don't expect to get sleep tonight!): www.youtube.co…

Pamplemousse youtube.com
View on Bluesky · ♥ 2 ↻ 0 ↩ 0 · 61d ago
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Recent commentary

🙌 Huge crowd for the Google DeepMind / HUD Frontier / RSI RL Environments hackathon at @ycombinator.bsky.social! Cosponsors also include Exa, Modal, @anthropic.com, Fireworks AI, MiniMax, and more. Can't wait to see what people build with Google AI Studio and Gemma 4!

View on Bluesky · ♥ 10 ↻ 0 ↩ 0 · 90d ago

👋 is there an eval for ai-driven kernel *maintenance*? not generation, but migration. like, cuda→hip, gfx942→gfx950, rocm n→n+1, etc. migration has a built-in verifier (the old kernel is the spec), so it should be way more benchmarkable than greenfield kernel generation who's working on this

View on Bluesky · ♥ 6 ↻ 0 ↩ 1 · 68d ago

👋 Anyone else going to be at @acmsiggraph.bsky.social later this month? I'll be around on July 21-22nd to give a workshop and for the Google DeepMind "Dear Upstairs Neighbors" reception, and would love to learn more about what you're working on! (DMs open for grabbing coffee or a walk. 💓)

View on Bluesky · ♥ 2 ↻ 0 ↩ 0 · 69d ago
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