Share graph · provenance running forward

Sylvia Liu

Analyst · Health · firm

What they dropped, which clusters it landed in, what got elected, and which experiments and findings descended from it. Everyone’s is visible to everyone, symmetrically. Show outcomes, not counts — no totals, no rankings, no rollups.

Dropped

signals with this person attached

Landed in

distinct clusters

Elected

of those, now fields

Descended

experiments and published items

Drops

Signal10 Mar 2026

'Can we run this on-shore without sending anything to a US lab?'

→ Open Weight Models · elected

Signal9 Apr 2026

'We rolled it out to 4,000 people and 180 still use it. What did we do wrong?'

→ Effective Assistants · elected

Signal26 Feb 2026

Slack drop: 'the uni has an idle DGX and the health department can borrow it'

→ On-Prem Inference · elected

Signal28 Apr 2026

'Your enclave is airtight and your model just read the SSN back to the user'

→ TEE and Secure Inference · elected

Signal22 Apr 2026

LLM-Assisted Adverse Event Case Intake: A Prospective Evaluation Across 48,000 ICSRs

→ Drug Development

Signal28 May 2026

'Every CRO now has an LLM protocol drafter. None of them will tell you the acceptance rate.'

→ Drug Development

Signal15 Jul 2026

Error-Corrected Simulation of a Catalyst Active Site Beyond Classical Reach — Partially

→ Quantum Compute General

What descended

recommendationTested

Open-weight models for classification and extraction; frontier for agentic loops

standing answerTested

Which model for structured extraction?

standing answerAssessed

When does on-prem inference make sense?

experiment · concludedSuperseded

Close enough to switch?

experiment · running

Inference under seal

experiment · proposed

Nearest door into pharma

Follow this person’s finds

Following someone whose drops are consistently good is the internal version of the external voice watchlist, and often a better source than any detector.