When deployed, the DeepMind-GovTech scam detection model runs entirely on-device, accesses conversations only with the user's consent, and neither the Singapore Government nor Google can access users' conversations through its deployment.

● OPEN · settles 2026-10-21

Background

Scam detection usually means a server reads your messages. DeepMind and Singapore's GovTech are trying the opposite: a model that reads them on the phone itself, so it can work even inside end-to-end encrypted chats. The pair fine-tuned Google's lightweight Gemma model on local scam conversations — impersonations of public institutions, banks and local figures, plus trending regional schemes — using anonymised data drawn from scam reports, with no personal information included, inside a GovTech-managed cloud environment. A two-stage pipeline keeps the battery cost down: a light classifier screens incoming messages, and only when it flags one does the fine-tuned Gemma examine a larger slice of the conversation to confirm a threat or clear a false alarm, triggering a real-time warning on the device. The context is stark: scams make up over half of Singapore's reported crimes and more than S$4 billion in losses since 2019, with social-engineering conversations now behind up to 80% of losses. The privacy terms are the point of the design. Rollout will be phased, the model will touch conversations only with the user's consent, and because it runs entirely on-device, the post says neither the Singapore Government nor Google will be able to access users' conversations through its deployment.

This market exists because launch announcements are easy to make and hard to grade. Press releases describe what a company intends to ship; they rarely come back later to say whether it shipped. AI Rank Bank pulls one checkable sentence out of the coverage — the sentence above — gives it a date, and lets readers price it in public. The launch itself stays with its publisher; what lives here is the claim, the crowd's call, and eventually the receipt.

How this claim is judged

Judging criteria, fixed when the market opened: Delivered if, at the check time, Google DeepMind's October 14 post still states that the model runs entirely on-device, that it will only be able to access on-device conversations with the user's consent, and that neither the Singapore Government nor Google will be able to access users' conversations through its deployment. A shift to server-side scanning of messages, or either party gaining access to users' conversations through the deployment, does not count.

The source of record is the publisher's own page linked above. A claim about a company's product is judged against that company's public output — its product pages, documentation, changelogs and official posts — not against rumors or third-party summaries. Only yes-or-no outcomes count: partial credit is not a verdict, and a claim that needs a paragraph of excuses has already answered itself.

How readers called it

No calls yet — the bar is empty and the claim is unpriced.

No reader calls yet. The first call on a claim is priced against a neutral crowd, and pays 50 points if it lands.

Points reward being right against the crowd. A correct call pays 100 × (1 − the share of readers who agreed with you when you placed it), with a floor of 10: side with a 90% consensus and a win pays 10, stand alone and a win pays up to 100. Wrong calls pay nothing. The price is locked in when the call is placed, so early readers are paid for judging before the crowd forms, not for copying it.

How readers split

The split line starts with this market's first snapshots — a point is recorded whenever a reader calls the claim, and at least once an hour while it stays open. Check back after the crowd has moved and the line will be here.

Verdict

No verdict yet. This claim is checked on 2026-10-21 08:00 Eastern Time (12:00 UTC) against the source of record below. When the check happens, one of three stamps lands on this page permanently: delivered if the claim came true as stated, busted if it did not, or unproven if the date passes without public evidence either way. Unproven claims pay no points and do not count against any reader's hit rate.

About this market

AI Rank Bank is an AI news front page with a memory. Every launch on the homepage carries one claim like this one, with a check date. Readers call claims with points, build a public record, and climb the leaderboard. Companies build a record too: every settled claim lands on the company's bank page, where its delivery rate is simple arithmetic that nobody gets to edit afterwards. There is no money in the market — points buy bragging rights only, which keeps the incentives pointed at being right.