In case you haven't followed the saga, the latest[1] digg.com relaunch failed because they couldn't deal with the bot onslaught [2]. Whoever finds a reliable way to keep AI out of an online community first is likely to become a very rich person.
[1] Second-to-last, actually, seeing as there seems to be a new homepage right now.
[2] https://www.techspot.com/news/111698-digg-relaunch-fails-two...
Given that they wrote their goodbye post using LLMs and gave up after such a short amount of time, I don't take that at face value the same way I don't believe AI layoffs
Plus "AI" is a spectrum, with "the AI fixed a typo for me" at one end, and "the AI writes my posts for me" at the other.
I believe it’s the opposite: You have to pay competent human moderators. Like here on HN.
I'd have to read the FIDO specs, however the only place I've seen webauthn hardware pinning in the wild is with Azure AD/Entra which is ostensibly based on token GUID. If this is the only enforcement mechanism available, it's spoofable.
does seem like more things will have to go this way though
I used to think that a small payment could accomplish the same thing, but X selling blue check marks proved that doesn’t help much. Well, at least it’s a much weaker signal than the previous curated version.
The challenge is any barrier to entry high enough to discourage motivated spammers is also high enough to discourage casual users. That disrupts the network effects you’ve traditionally needed to bootstrap a social website.
If I was trying to get a new social site off the ground right now, I would try:
1) secure a good brand from the pre-AI era. Twitter, Digg, Friendster, MySpace. Something that motivates a first look.
2) Require third party identity verification on sign up, configured so the social site is never the custodian of PII, though require enough demographics to support high-value advertising later. Verification is free to the user, ideally provide multiple verification options- one US and one EU at minimum.
3) Target a few core communities and invest. Find the people who moderate historically great subreddits, were active in twitter communities during the good years, etc. get them in your platform. Maybe even pay them.
That should be enough to tell you if it’s going to work or not.
How is the syntax new?
It looks like lispy - see the outer parens in the examples given.
> the difficult thing I’ve found over the years is that Lisp is sort of unexplainable
I've found that getting rid of the parentheses helps.
f(x)
(f x)
["f", "x"]
(print (< 10 20))
["print", ["<", 10, 20]]
code = ["print", ["<", 10, 20]]
def eval(code):
# magic
eval(code)
True
These articles are very good and accessible:
Not anymore. I started with Racket and went through the Little Schemer. I did Clojure for a while. I even used Babashka to write all my scripts, then later rewrote them in other languages.
I gave it a good try. Maybe it wasn't enough to properly "get it"?
I "get" Lisp just fine, have made my own hobby Lisp interpreters, have written programs in Lisp, am an emacs user, etc. etc.
And yet if you handed me a terminal and an editor and asked me to write a program, I would never reach for Lisp to do it. My eyes don't like it. (Also I like static types).
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The syntax is actually a big pro for a lot of people. I love its streamlined look that basically reads like Python once you let your IDE indent properly and learn to see "through" the parentheses (CL, Scheme).
The original language where everything is an expression and it shows. Where Python still needs an ugly ternary and made match a statement, Lisp has had the perfect IF and COND since the dawn of time.
Symbols are still a cool and useful concept that almost no other language I know of got.
The numerical tower - despite some holes - is amazing. Built-in rationals and "correct math" as sane default (i.e. 1/2 not returning 0) never get old.
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And if you let me rave about CL specifically (e.g. DECLARATIONs as "#pragma done well", restarts, CLOS/MOP, runtime READ/COMPILE, etc...), there are a lot of cool features barely copied anywhere that'd improve other languages, but these aren't part of "what make Lisp Lisp".
I was really impressed by how small the executable file was. I’d only ever done web development with Node.js up until then.