Create

Sign in to ReadmeX

or

How we handle your data: Privacy Policy

ReadmeX

Your AI reading companion

What would you like to catch up on?

Pick a briefing, or ask your own question.

Your community and people briefings stay personal to you.

Georgetown University

AI overview

Sign in and the AI will write an overview from our coverage.

Headlines · 3

  1. Studies: AI-altered images and chatbots can implant false memories

    According to research rounded up by The Washington Post, MIT Media Lab professor Pattie Maes and colleagues showed 24 everyday photos to 200 participants; after a break, some saw AI-altered versions with changed facial expressions, added soldiers or climate imagery, and those participants were far more likely to form false memories — and more confident in them. In other experiments, participants questioned by a generative AI chatbot after watching a crime video produced about three times as many false memories as a control group, and nearly half falsely remembered remake films that were never made. Georgetown researcher Mattea Sim's 331-participant experiment found about 45% of those given an AI summary with a wrong traffic sign detail correctly remembered the sign, versus about 84% given an accurate summary, even when told the summary was AI-generated.

    IT之家 AI · 🔥 17
  2. Cryptographers weigh whether AI math gains could break internet encryption

    A panel hosted by a16z crypto brought together Stanford cryptographer Dan Boneh, Georgetown computer science associate professor Justin Thaler and others to discuss whether fast-rising AI mathematical ability threatens modern cryptography. Boneh said the published results contain no actual break of mainstream cryptographic schemes, but argued frontier labs should disclose whether they have tested deployed systems with their strongest models and what the results were. Ethereum Foundation researcher Justin Drake floated a "bunker mode," suggesting large holders consider moving funds to addresses whose public keys are not yet exposed on-chain, though the industry remains divided on when an attack might occur and how migration should be carried out.

    MIT科技评论中文 · 🔥 0
  3. CSET report: ping-based location checks beat site visits for tracking AI chips

    A report from Georgetown's Center for Security and Emerging Technology (CSET) compares two ways of verifying where export-controlled AI chips actually are: on-site physical inspections and ping-based location verification (PLV), which measures signal round-trip time to trusted landmark servers. Across more than 10.5 million simulated scenarios, rented and self-built PLV posted higher detections-per-dollar in 86% and 92% of cases respectively, and physical inspections never came out ahead; against the median lower bound for inspections, rented and self-built PLV scored 7x/205x and 18x/172x. CSET concludes the most effective setup is PLV as the backbone with a small number of physical checks, though PLV only flags problems after a chip has moved and can be disrupted by network outages or location spoofing.

    虎嗅 AI · 🔥 0

Experience and discussion from the community

Share my Georgetown University experienceAsk about Georgetown University

Nobody has shared their experience with Georgetown University yet.