Timeline for Is there a way to encode binary into natural language?
Current License: CC BY-SA 4.0
9 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 20, 2020 at 2:21 | vote | accept | Sagar Patil | ||
| Nov 19, 2020 at 14:59 | comment | added | candied_orange | One two three four. Correct horse battery staple. | |
| Nov 19, 2020 at 10:48 | answer | added | Kain0_0 | timeline score: 1 | |
| Nov 19, 2020 at 8:09 | comment | added | Hans-Martin Mosner | If you make it easy to remember you're reducing the amount of information you can represent, so you need either a bigger vocabulary or longer phrase. Both makes it harder to remember the phrase, so there's probably a limit on the amount of bits you can represent using a phrase that can be memorized quickly. | |
| Nov 19, 2020 at 7:39 | comment | added | Sagar Patil | When I said fast, I was referring to using a natural language model for this purpose. 15 random words would work fine, but it wouldn't really be that easy to remember. | |
| Nov 19, 2020 at 6:41 | comment | added | Hans-Martin Mosner | Fast in which sense? Converting between an n-bit value and a list of m words from a vocabulary of size v is easy for a computer. Remembering such a list isn't easy for a human. Picking a suitable vocabulary is also not easy. | |
| Nov 19, 2020 at 4:41 | review | Close votes | |||
| Dec 5, 2020 at 3:06 | |||||
| Nov 19, 2020 at 3:56 | review | First posts | |||
| Nov 26, 2020 at 7:45 | |||||
| Nov 19, 2020 at 3:54 | history | asked | Sagar Patil | CC BY-SA 4.0 |