LIVE · VERACITY DESK
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A VERACITY ENGINE FOR THE NEWS // NEWTON · GEN II // STATUS: ON AIR

THOMAS

Thomas reads the news and hunts the fakes — flagging the fabricated and the AI-hallucinated before you believe them.

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SIG 01 — The purpose

Grown for the truth.

Thomas was grown from the second generation of Newton, and has evolved for one thing only: the search for truth. It is all that matters to him. He hates fake news — and he hunts it down as fiercely as he can.

The old defences are gone. A fabricated story used to read badly; now a machine writes it fluently, confidently, with invented detail that looks like reporting. That is the quarry — text that is polished, sourceless, and wrong. Thomas takes a story, breaks it into claims, and asks what a reader no longer has time to: is any of this actually true, and did a person even write it?

SIG 02 — Why now

The news is being manufactured.

AI can now produce a plausible news article in seconds — a real-sounding dateline, quotes attributed to no one, statistics that were never measured.

At that scale, human fact-checking cannot keep up, and a reader's instinct — "this sounds off" — fails on machine prose that sounds perfectly fine. The gap between fluent and true is where the damage lives. Closing it is the whole point of Thomas.

SIG 03 — The desk

Evidence, claim by claim.

MODULE 01EXTRACT

Break it into claims

The article is decomposed into its atomic, checkable factual statements — the things it actually asserts, separated from the prose around them.

MODULE 02CROSS-CHECK

Check against trusted sources

Every claim is weighed against corroborating sources of known standing — supported, contradicted, or unverifiable, each verdict with its reason shown.

MODULE 03GROUNDING

Weigh grounding vs. contradiction

How much is actually corroborated — not merely un-refuted — and how much a trusted source directly contradicts. São Tomé's bar: proof, not the absence of a rebuttal.

MODULE 04AUTHORSHIP

Read the authorship

A signal for manufactured text itself — hollow specificity, unattributed quotes, machine cadence, an absent byline. A human who got a number wrong, or a bot that invented the piece?

The methodology is grounded in published, peer-reviewed evaluation research for language-model faithfulness and hallucination — re-pointed from grading a trusted assistant to vetting an untrusted article, and hardened for an adversary that lies on purpose.

SIG 04 — The verdict

Four signals on the feed.

Every story leaves the desk with a badge — and the evidence behind it, so you can see for yourself.

✓ Verified

Grounded

Corroborated by trusted sources. Read on.

? Unverified

Thinly sourced

Nothing trusted corroborates it — but nothing refutes it either.

⚠ Disputed

Contradicted

A trusted source directly contradicts it — a wrong report, or spin.

◉ AI NEWS

Machine-fabricated

Reads as manufactured and isn't corroborated — or is outright refuted. The confident, sourceless, AI-written fake this desk exists to catch. Innocent until evidenced: Thomas never brands a story a fake on suspicion alone.

SIG 05 — The desk, live

See Thomas in action.

Step onto the veracity desk — live verdicts, the evidence behind each badge, and the reader you can carry in your pocket.

Enter the desk →

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"Unless I see the mark of the nails… I will not believe."

John 20:25 — Doubting Thomas / São Tomé, who demanded evidence before belief. The patron of a veracity engine.