LinkedIn already employs anti-scraping measures, so I'd expect a lot of users to get flagged.
That's not unique to LinkedIn but what is somewhat unique is the strong linkage to real world identities, which raises the cost of Sybil attacks on personal networks with high trust.
Shaan Puri has also talked about how he's been coaching a youth basketball team on the My First Million podcast recently. He says it's one of the best things he's ever done.
Unlikely as it sounds, being normal is a strategy that works on LinkedIn.
The quality bar is very low. People post so much fluff and AI thought leadership that the algorithm has recently started rejecting it, and LinkedIn essentially ran out of content.
For the past couple of months it's been showing people posts from two or three weeks ago due to the lack of suitable material.
What I've found is that it's surprisingly easy to stand out and build an audience if you just post honestly and thoughtfully about the interesting little puzzles or dilemmas you face during your workday.
Some posts of mine that have hit it off:
> Why is it hard to find clothes for men?
> Why do people think it's weird when I drink milk on Zoom?
> Should I post on X, or do people still frown on it?
Try posting about what you don't know, rather than what you do. People like that more.
Yeah, it's a bit surprising that these bill validators are so robust, given that most security systems are a game of raising the difficulty just high enough to be less attractive than other criminal opportunities. It might be that two detection methods was too easy to subvert, so a third is added, and this makes it excessively secure.
Certainly, the tubular lock on most vending machines is vulnerable to a variety of attacks, so, if a criminal wants a snickers bar and maybe a lockbox of cash, buying a tubular lock pick is far more expedient than trying to counterfeit bills.
I am wondering if the author maybe didn't check whether 2 of 3 factors would be sufficient. It could be that the bill validators allow 1 of 3 factors to be out of spec to increase acceptance rate.
My bet is that there are actual people with enough karma automatically flagging every df post without considering the content for a second.
Would be cool if @dang could check the flagging data in the articles since the massive drop in 2021 and see if there are any patterns (same people doing the flagging for every article).
The main use case in our house for Alexa is sending announcements between rooms. But for a few months now, it hasn’t worked properly.
I will say: “Alexa, send an announcement”. But 50% of the time, instead of prompting me for the announcement, it will play me saying “Send an announcement” around the house.
I wonder if anyone else has had this issue, or if it’s just me?
Same, announcements are kind of flaky. My usual command is "Alexa, announce <whatever to announce>" - half the time she asks what I want to announce, 20% of the time she announces "announce", 30% of the time it works as expected.
If i'm already on my phone sometimes I'll just type the announcement in the Alexa app instead.
I run conferences and I like to have photos of delegates on the page so you can see who else is attending.
I wanted to automate this by having Claude go to the person’s LinkedIn profile and save the image to the website.
But it seems it won’t do that because it’s been instructed not to.
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