HEALTH A reasoning model hit 88.6% diagnostic accuracy on clinicopathological cases. In the same window, a five-hosp…+ HEALTH A reasoning model reached 88.6% exact or near-exact accuracy on clinicopathological cases.+ EDUCATION Small-scale district pilots report gains for students who previously had no outside tutoring access. POLICY Post-market monitoring standards for clinical AI tools remain unsettled as clearances accelerate. LABOR The labor market's two truths: large projected role creation and concentrated, measurable displacement. LABOR Employment for coders aged 22–25 has fallen roughly 20% against its late-2022 peak.+ LABOR New AI-adjacent skills already carry wage premiums in 1 of every 10 job postings in advanced economies. LABOR Current estimates vary 5x depending on methodology.
Sunday, July 12, 2026
TruvaceThe trace, not the pitch

TrHistory: where Truvace comes from

Follow the evidence,
wherever it points.

Truvace was built on a simple commitment: record what artificial intelligence is actually doing to people’s lives, the gains and the harms alike, with equal rigor, and never let either side of the story go unsourced.

A letter from the founder

Mosisa Saba

Founder, Truvace

I started Truvace because the story of artificial intelligence was being told almost entirely by people with something to sell. On one side, companies announcing that their products would transform medicine, education, and work, with the evidence written by their own marketing teams. On the other, a steady drumbeat of doom that treated every failure as proof the whole enterprise was rotten. Both stories are easy to tell. Neither is journalism.

What was missing was a record. Somewhere a nurse, a teacher, a policymaker, or a curious reader could go and ask a plain question: is this technology helping or hurting, here, measurably? And get an answer traced to a peer-reviewed study, a government finding, or independent reporting, not a press release. Somewhere the gain and the problem sit on the same page, because in the real world they almost always arrive together.

That is what Truvace is. Machines sweep the research literature and the news around the clock, but they don’t get the last word. A human editor weighs every claim before it earns a place in P Space, G Space, or The Trace. Every item names its sources, and every item carries a line about what the evidence doesn’t fix, because honest accounting means saying what you don’t know.

AI is going to keep reshaping how we live, work, heal, and learn, unevenly and not always fairly. The people living through that deserve better than hype and better than doom. They deserve the trace.

The trace, not the pitch. That’s the whole promise.

PrPrinciples: how we publish

Sourced only

Every item traces to a peer-reviewed paper, a government body, or independent journalism. Never a company reporting on its own product. If it can't be sourced, it doesn't run.

Both readings

The gain and the problem get the same rigor, side by side. Every item carries a "what this doesn't fix" line, so nothing on Truvace reads as a pitch, in either direction.

Human judgment

Machines gather candidates around the clock, but P Space, G Space, and The Trace are editorial claims. A human editor weighs the evidence before anything earns those labels.

Seen something we should trace?

Truvace runs on sourced tips and careful contributors. Send us a story worth tracing, or join the editorial bench.