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2. Add or disable 2-step verification for extra security - AOL Help

   help.aol.com/articles/2-step-verification...

   4. Select Authenticator app for your 2-step verification method.-To see this option, you'll need to have at least 2 recovery methods on your account . 5. Click Continue. 6. Scan the QR code using your authenticator app. 7. Click Continue. 8. Enter the code shown in your authenticator app. 9. Click Done. Sign in with 2-step for authenticator app. 1.

3. Google Authenticator - Wikipedia

   en.wikipedia.org/wiki/Google_Authenticator

   Proprietary freeware (some versions were under Apache License 2.0) Google Authenticator is a software-based authenticator by Google. It implements multi-factor authentication services using the time-based one-time password (TOTP; specified in RFC 6238) and HMAC-based one-time password (HOTP; specified in RFC 4226), for authenticating users of ...

4. AOL Mail

   mail.aol.com

   Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

5. RSA SecurID - Wikipedia

   en.wikipedia.org/wiki/RSA_SecurID

   The RSA SecurID authentication mechanism consists of a "token"—either hardware (e.g. a key fob) or software (a soft token )—which is assigned to a computer user and which creates an authentication code at fixed intervals (usually 60 seconds) using a built-in clock and the card's factory-encoded almost random key (known as the "seed").

6. FIDO Alliance - Wikipedia

   en.wikipedia.org/wiki/FIDO_Alliance

   FIDO Alliance. The FIDO ("Fast IDentity Online") Alliance is an open industry association launched in February 2013 whose stated mission is to develop and promote authentication standards that "help reduce the world’s over-reliance on passwords ". [1] FIDO addresses the lack of interoperability among devices that use strong authentication and ...

7. T5 (language model) - Wikipedia

   en.wikipedia.org/wiki/T5_(language_model)

   T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI.Introduced in 2019, T5 models are trained on a massive dataset of text and code using a text-to-text framework.