Snorkel AI vs Recall
Side-by-side trajectory, velocity, and editorial themes.
Snorkel's feed is an AI-evaluation research blog, not a product changelog
The entries are Snorkel AI's research-and-events blog: a Grok 4.5 evaluation on its GDPval+ dataset, reading-group and Benchtalks writeups, and talks on agentic evaluation. The throughline is measurement, benchmarking agents and frontier models, delivered as content rather than shipped product.
Snorkel is planting a flag as the authority on evaluating agents and frontier models, repeatedly arguing that measurement now lags model capability. That editorial bet aligns with its data-and-evaluation products, but this feed surfaces thought leadership and benchmark research rather than releases.
Expect more model-evaluation results, with the Grok 4.5 post as a template, and further benchmark collaborations. Product releases are not visible in this feed to forecast from.
After Recall 2.0, the second-brain iterates fast on sources, voice, and control
Since April's Recall 2.0 relaunch — agentic chat, an API and MCP, and the Max tier — the product has been in rapid iteration. It has widened what it can ingest (Instagram, LinkedIn, Apple News, text/Markdown), added Listen Mode voice playback, and now Custom Personas that pin how the AI behaves. The consistent thesis is knowledge-first AI: your saved sources come before the open web.
Recall is layering reach and control onto its chat: more sources in, more ways to steer the AI (personas, multi-step actions), and more model choice (Opus 4.8, GPT-5.5). Release notes point toward public profiles, sharing, and a write API as the next expansion beyond personal capture.
Based on the roadmap notes threaded through these releases, expect public Recall profiles and shared collections, plus a write/bulk-ingest API, to be the next headline moves.
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