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Snorkel AI

AI-ASSISTANTS
Velocity5.0

AI data development platform for enterprise model fine-tuning, evaluation, and curation.

snorkel.ai ↗

Snorkel's feed is research thought-leadership; product releases don't surface here.

agent-evaluationbenchmarksdata-centric-airesearchcrawl-source-mismatch
◆Current state
This feed crawls Snorkel AI's research and thought-leadership blog — reading-group recaps, conference talks, and benchmark write-ups — rather than a product changelog. The consistent topic is AI agent evaluation: how to measure long-horizon, real-work agent performance. None of the entries are product releases of the Snorkel platform itself.
◆Where it's heading
Snorkel is staking out 'agent evaluation and benchmarking' as its intellectual territory, repeatedly tied to academic collaborations (Berkeley RDI, Stanford) and benchmarks like Agents' Last Exam, Continual Learning Bench, and Cua-Bench. The arc is about owning the measurement layer for agents, which positions the data-centric platform underneath it. Product specifics aren't observable from this content feed.
◆Prediction
Expect more benchmark releases and evaluation-focused content tied to outside researchers. Concrete platform changes can't be predicted from this feed because the crawl source is the blog, not release notes.

◆Recent moves

  1. 3d ago

    Agents’ Last Exam: AI Benchmarking for Real Work

    Reading-group recap of Agents' Last Exam, a benchmark for long-horizon real-work agent tasks built with Berkeley RDI. Research content underscoring Snorkel's evaluation focus, not a product change.

    View source ↗
  2. 3d ago

    Continual learning and evaluating how AI agents learn across sequences of tasks

    Explainer on continual learning and evaluating agents across task sequences. Thought-leadership content extending the agent-evaluation theme, not a release.

    View source ↗
  3. 8d ago

    Benchtalks #3: We taught AI everything except how to learn

    Benchtalks interview on continual learning with a Berkeley PhD researcher. Podcast-style content, not a product change.

    View source ↗
  4. 10d ago

    Agentic AI evaluation: Closing the gap with better benchmarks and data

    Recap of CEO Alex Ratner's talk on the agent evaluation gap. Conference content reinforcing positioning, not a release.

    View source ↗
  5. 15d ago

    JudgmentBench: Comparing Rubric and Preference Evaluation for Quality Assessment

    Reading-group recap of JudgmentBench, comparing rubric vs preference evaluation for legal AI quality. Research content, not a product change.

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  6. 17d ago

    The Art and Science of Building AI Benchmarks That Shape the Field

    Recap of a talk on building field-shaping AI benchmarks. Thought-leadership content, not a release.

    View source ↗