Flip a fair coin 100 times — it gives a sequence of heads (H) and tails (T). For each HH in the sequence of flips, Alice gets a point; for each HT, Bob does, so e.g. for the sequence THHHT Alice gets 2 points and Bob gets 1 point. Who is most likely to win?
Have you ever wondered how LLMs ‘read’ text and seem to understand concepts? Internally, these models turn their input into numerical vectors. This means that with an LLM and some text input, you can get a bunch of numbers to feed into whatever machine learning model you dream of...
For TLS, We require that the public key of web servers be signed by a publicly trusted CA in the form of a certificate bound to a domain name, and we trust that those CAs would only sign certificates after they have verified the server they are signing for controls the domain. However, there is no way for the public, or the site owner, to reliably know when a CA has breached this trust. We would be much safer if every valid certificate were discoverable by the public. Can we make that happen?