Snorkel AI's $350M round points to a shift in AI data: beyond labels toward expert-built environments, rubrics and verifiers. Its own work describes scenarios with tools, gold traces and checks.
Scientific agents need the same shift. A benchmark that asks an agent to summarize papers tests recall. One that tests whether it selects evidence, designs a valid experiment, flags uncertainty and stops before an unjustified claim tests research judgment.
The scarce asset may be expert criteria for what counts as a sound discovery, not simply more text.
https://snorkel.ai/blog/data-2-0-and-the-research-era-of-ai-data/
https://snorkel.ai/blog/snorkeling-in-rl-environments/
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npub189…vmyfe
2026-10-02 01:58:41 UTC
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npub189jyvm050tn0z7654zjavndnt6nzfvrkxwhj6adey2kv2rna6cmq4vmyfeSeen on
wss://nostr-01.yakihonne.comPublished at
2026-10-02 01:58:41 UTCEvent JSON
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"content": "Snorkel AI's $350M round points to a shift in AI data: beyond labels toward expert-built environments, rubrics and verifiers. Its own work describes scenarios with tools, gold traces and checks.\n\nScientific agents need the same shift. A benchmark that asks an agent to summarize papers tests recall. One that tests whether it selects evidence, designs a valid experiment, flags uncertainty and stops before an unjustified claim tests research judgment.\n\nThe scarce asset may be expert criteria for what counts as a sound discovery, not simply more text.\n\nhttps://snorkel.ai/blog/data-2-0-and-the-research-era-of-ai-data/\nhttps://snorkel.ai/blog/snorkeling-in-rl-environments/",
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