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Frontier AI Models Push Limits in Geospatial Applications

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@snorkelai

–

15 May 2026 23h42

For AI in geospatial, "there are a lot of different research areas that have to come together to build this one system. We're literally running into the limits of frontier models." — @intellgenc of @usachp in conversation with @SniffenOutAI.

Full context of what he's cooking:… pic.twitter.com/uwVaCgUAe7
— Snorkel AI (@SnorkelAI) 15 mai 2026

For AI in geospatial, "there are a lot of different research areas that have to come together to build this one system. We're literally running into the limits of frontier models." — @intellgenc of @usachp in conversation with @SniffenOutAI
. Full context of what he's cooking:

→ View original post on X — @snorkelai

15 May 2026
Building an AI-Native Geospatial and World Simulation System

By

@snorkelai

–

15 May 2026 0h05

"We're working with Google and @SnorkelAI to build a geospatial, deep-research, AI-native system. And along with that…we're building a world simulation system to simulate impacts for large infrastructure projects." — Rezaur Rahman, CIO / CISO / CAIO, @usachp

Full conversation… pic.twitter.com/4QhdGYXsmx
— Snorkel AI (@SnorkelAI) 14 mai 2026

"We're working with Google and @SnorkelAI to build a geospatial, deep-research, AI-native system. And along with that…we're building a world simulation system to simulate impacts for large infrastructure projects." — Rezaur Rahman, CIO / CISO / CAIO, @usachp Full conversation

→ View original post on X — @snorkelai

15 May 2026
Workshop on Reliable Financial Agents at AICouncilConf

By

@snorkelai

–

13 May 2026 0h18

We're live from @AICouncilConf A huge thank you to everyone who joined Charles Dickens’ workshop this morning: Towards Reliable Financial Agents: How a 4B Model Outsmarted a 235B Giant. You can find our team in the exhibitor hall throughout the rest of the conference.

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13 May 2026
AI Council Conference Participation and Financial Agent Workshop Announcement

By

@snorkelai

–

12 May 2026 1h48

We’ll be at @AICouncilConf in San Francisco this week (May 12–14). Come say hi if you’re attending Join us tomorrow from 10:15–11 AM for a workshop with Charles Dickens: Towards Reliable Financial Agents: How a 4B Model Outsmarted a 235B Giant. See you there:

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12 May 2026
The Evolution and Challenges of AI Coding Agents

By

@snorkelai

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11 May 2026 21h53

The question has moved past whether coding agents can produce code that works. The harder question is whether they can complete real software work safely, measurably, and repeatedly — and how we supervise it. Great piece by @realjustinbauer on the evolution of coding agents and

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11 May 2026
Data Cleaning Infrastructure for AI Builders Discussed in Interview

By

@snorkelai

–

06 May 2026 20h20

Our congrats to @harvey and the team including @nikogrupen
, @gabepereyra
, and @ItsJulioPereyra for open-sourcing Harvey's long horizon legal agent benchmark, which is specifically built to evaluate and improve agent capabilities for supporting legal work. Read their blog:

→ View original post on X — @snorkelai

6 May 2026
AI Industry Insights: The Central Role of Data

By

@snorkelai

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04 May 2026 20h29

Continual Learning Bench 1.0 is out, co-authored by @UCBerkeley & @SnorkelAI
, funded through Open Benchmarks Grants. A new benchmark for measuring whether AI systems actually improve over time.

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4 May 2026
Olmix Framework for Data Mixing Throughout LM Development

By

@snorkelai

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01 May 2026 0h18

Our thanks to everyone who came out to hear @MayeeChen dive into her paper "Olmix: A Framework for Data Mixing Throughout LM Development." Replay ICYMI live: https://
youtube.com/watch?v=sFIPst
z0cTc
…

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1 May 2026
Creating AI Benchmark from Real-World Engineering Problems

By

@snorkelai

–

29 April 2026 0h00

“We can create the best benchmark out there that should dictate model development for the next year,” says @alexgshaw of @LaudeInstitute. The goal: get top engineers to contribute the hardest real-world problems they’ve actually faced in their work.

They’re actively looking for… pic.twitter.com/kIF0PukCAT
— Snorkel AI (@SnorkelAI) 28 avril 2026

“We can create the best benchmark out there that should dictate model development for the next year,” says @alexgshaw of @LaudeInstitute
. The goal: get top engineers to contribute the hardest real-world problems they’ve actually faced in their work. They’re actively looking for

→ View original post on X — @snorkelai

29 April 2026
BigLaw Bench: Evaluating AI Legal Research Capabilities

By

@snorkelai

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28 April 2026 22h20

We recently partnered with @harvey on BigLaw Bench: Research, evaluating how well models handle real end-to-end case law research, identifying the right authorities, applying legal reasoning, and delivering answers you can actually use. It also shows where things still break and

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28 April 2026

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