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Grep AI
291 posts
- Grep AI repostedAt @ParchaHQ we saw coding costs explode so we built our own IDE that does routing at the harness level e.g. Claude Code for planning, Codex for long running execution, Cursor for bugs. Plus custom routing, remote sessions, a browser inspector and voice interface. Now it's
00:00 - Grep AI repostedAwesome to see @gilbert sharing how they use @grepdotai for episode research on @AcquiredFM in a GQ article this week. There are so many non-obvious use cases for doing deep research on a business, and Grep is the best at it.
- Grep AI repostedWhen you use an AI tool for the first time, it doesn't understand you or your work. We're changing that with the latest version of @grepdotai. At onboarding, with your opt-in, Grep uses its deep research to build a profile about you that it then remembers for future
00:00 - Grep AI repostedWhen you use an AI tool for the first time, it doesn't understand you or your work. We're changing that with the latest version of @grepdotai. At onboarding, with your opt-in, Grep uses its deep research to build a profile about you that it then remembers for future
00:00 - Replying to @grepdotaiNorth Korea generated $2.8B using deepfake IT worker infiltration across 40 countries. Regulators are moving. FinCEN issued its first deepfake-specific alert. EU AI Act penalties hit 7% of global turnover. Full intelligence brief: grep.ai/research/deepf… Run research like this
- Replying to @grepdotaiThe detection gap is where the fraud lives. Lab accuracy: 94-96% Real-world accuracy: 65% Human detection rate: 24.5% 42.5% of all financial fraud attempts are now AI-driven. 85% of orgs experienced at least one deepfake incident in the past year. Insurers quietly excluded
- Replying to @grepdotaiA Hong Kong finance worker wired $25 million after a video call where every participant (CFO, senior execs) was a deepfake. No credentials stolen. No network breach. Just AI-generated faces and voices on a Zoom call. Voice cloning now requires 20 seconds of audio. A convincing
- Deepfake fraud losses hit $12.3 billion in 2023. Deloitte projects $40 billion by 2027. Deepfake attempts surged 2,137% in three years. Only 7% of anti-fraud professionals say their org is even moderately prepared. We ran the full risk analysis across 7 domains.

















