Ivan Kuznetsov

Product @GoogleResearch | Building what's next in Foundation Models & Geospatial AI. Views are mine.

[Ivan Kuznetsov @ivanku]

We announced the product launch at Cloud Next'26 to tackle RAG hallucinations. Now, Google Research is lifting the veil on exactly how it works!

Dive into the Agentic RAG architecture and see how the Sufficient Context Agent powers it all under the hood.

[Google Research @GoogleResearch]

Introducing our new agentic RAG framework. A collab with Google Cloud, our multi-agent workflow goes beyond standard RAG by breaking down complex enterprise queries & iteratively searching for sufficient context before generating dependable responses.
📜→https://t.co/A8l499bLrj

[Philipp Schmid @_philschmid]

Yesterday Fitbit Air launched, but did you know it comes with a new @googlehealth API? You can build AI agents, MCP servers, or CLIs on top of your sleep and heat data.

- 31 different data points from exercise to sleep, heart rate, or SpO2.
- Webhooks push real-time notifications when health data changes.
- Support Read or write data, request only the permissions you need.
- Query by time range, roll up daily summaries, or paginate results.

I am whoop guy, but might be good reason to explore this. Full getting started codelab below.👇🏻

[Ivan Kuznetsov @ivanku]

TimesFM under the hood. 📈 The unlock: one foundation model surfaces meaningful events across every ticker - no per-stock training, no bespoke pipelines. Time-series FMs are quietly becoming infrastructure. Glad to see them shipping in something users actually feel.

[Nick Fox @thefox]

Just shipped AI-powered key moments in Google Finance so you can:
+Understand major price swings in stock charts (1 month+ view) 📈
+Jump to key moments in corporate earnings calls 🎧

Small team built these features from the ground up (and fast) using @Antigravity, check em out

https://t.co/nXmtHBpfWp

[Yossi Matias @ymatias]

Roads Management Insights is expanding with Disruptions (timely information about road disruptions ) and Vehicle Counts (understanding traffic volume). Supported by our breakthroughs in Mobility AI, this empowers road managers to replace guesswork with objective data to guide infrastructure investment and prioritize safety interventions. 🌍

[Google Maps Platform @GMapsPlatform]

What an incredible #CloudNext! We shared Google Maps Platform's biggest news of the season with new ways to build with imagery and AI, including Imagery Grounding, Imagery Insights, Roads Management Insights, Population Dynamics Insights, and so much more.

It was a blast getting to meet so many enthusiastic devs in person — we can't wait to keep innovating with you!

[Ivan Kuznetsov @ivanku]

Amazing to see the work from @GoogleResearch Mobility AI team become available to the entire world. Such an exciting moment!

[Google Maps Platform @GMapsPlatform]

Introducing a suite of new Roads Management Insights capabilities for the public and private sectors: We're connecting the agencies that maintain roads with commercial fleets that drive on them ➡️ https://t.co/C0WcPtrGps

We're bringing two powerful new data layers from Google Earth AI to the Roads Managements Insights (RMI) portfolio in Preview in the coming weeks:

⚠️ Get timely info about Road Disruptions with early signal detection and infrastructure awareness
🚗 Use Vehicle Counts to understand traffic volume, identify safety improvements, and manage congestion

In modern supply chains, the "middle mile" is where margins can be made or lost. RMI can help you protect your margins with precision planning for route variants and by identifying disruptions before they cascade through your fleet.

And, dispatchers can analyze live disruptions to identify high-risk zones and secondary accident queues. Learn more at the link above.

[Nick Fox @thefox]

The new AI-powered Google Finance is going global and shipping to 100+ countries… it’s a total reinvention of Google Finance with AI at the core 🚀🚀🚀

+ AI-powered market research
+ Advanced charting
+ Live earnings calls
+ Expanded real-time data

Try it: https://t.co/DUtHFXM0cH

[Google Earth @googleearth]

Announcing the #GoogleOrgImpactChallenge: AI for Government Innovation! 🏛️ A $30M global call for nonprofits using AI to transform public services.

Selected orgs can receive $1M–$3M+ and join the https://t.co/PrsSLfjpcA Accelerator. We can’t wait to see how you use Google Earth and Earth Engine to drive social good! 🌍

Apply by April 3, 2026, at 11:59 PM PT → https://t.co/3IHG2WjBMP

[Logan Kilpatrick @OfficialLoganK]

I sat down with Miriam and David from the Google Maps team to talk through and play around with the new Google Maps experience, it was awesome to see Gemini in action and learn from the Maps team!

[Ivan Kuznetsov @ivanku]

@miriamkdaniel Welcome from Geo AI in @GoogleResearch! 👐

[Google @Google]

Today @GoogleMaps is getting its biggest upgrade in over a decade. By combining our Gemini models with a deep understanding of the world, Maps now unlocks entirely new possibilities for how you navigate and explore. Here’s what you need to know 🧵

[Bo Wang @BoWang87]

Prof. Donald Knuth opened his new paper with "Shock! Shock!"

Claude Opus 4.6 had just solved an open problem he'd been working on for weeks — a graph decomposition conjecture from The Art of Computer Programming.

He named the paper "Claude's Cycles."

31 explorations. ~1 hour. Knuth read the output, wrote the formal proof, and closed with: "It seems I'll have to revise my opinions about generative AI one of these days."

The man who wrote the bible of computer science just said that. In a paper named after an AI.

Paper: https://t.co/juSOmK9vOt

[Rajat Sen @rsen91]

Thanks to @krasul TimesFM-2.5 is now available as a native huggingface transformers model as well. Links to follow.

[Ivan Kuznetsov @ivanku]

Thanks for the shoutout, @JeffDean! 🙌 Incredible work by the TimesFM team. But @ymatias isn't letting the team rest just yet... something very special cooking for Cloud Next '26. Stay tuned! 👀☁️

[Jeff Dean @JeffDean]

Learn more about a very high quality time series model released by @GoogleResearch a while back at https://t.co/GClBKeDPhf

[Ivan Kuznetsov @ivanku]

According to data from Rotten Tomatoes, the documentary has officially set the record for the largest disparity between critics and audiences in the site's history.

[American Intelligencer @GoDeeperAI]

https://t.co/f0yHDC9gLe

[Ivan Kuznetsov @ivanku]

Major North American cities replaced by cities at the same latitude. I had no idea I've spent most of my life this far north 😳

[Ivan Kuznetsov @ivanku]

Anthropic Economic Index report: economic primitives.
1. Prompt quality = response quality (r=0.93)
2. US AI diffusion: 10x faster than electricity
3. Multi-turn extends task horizon from 3.5h → 19h
4. Rich countries: personal use. Poor countries: coursework.
5. AI deskills jobs
https://t.co/YA8Izctuto

[Ivan Kuznetsov @ivanku]

RIP @ScottAdamsSays https://t.co/fxMR97cC4r

[Ivan Kuznetsov @ivanku]

I am incredibly proud of my team for establishing how Hard-Braking Events (HBEs) serve as a high-density leading indicator for crash risk. By identifying these patterns early, agencies can intervene before accidents occur.
We just showcased this capability at the @NASEMTRB conference in D.C. as part of the "Google for Transportation" https://t.co/YPl3Ea5gMq program, and the reception was fantastic.
Read the full research below. 👇

[Google Research @GoogleResearch]

Today we present new research establishing hard-braking events (HBEs) as a high-density "leading" indicator of road segment crash risk. This suggests HBEs could help identify high-risk road segments & inform specific infrastructure interventions. → https://t.co/3avEESOv3p
#GoogleResearch #RoadSafety #MobilityAI