calrueb's comments

They are going to "make things right" which sounds like they may refund members that fell for this. Would the 4D chess move be for the hacker to have "stolen" some of their own funds out of a different wallet to make it look like they were a victim? Then they can double dip, and claim the refund as well as walk away with the stolen goods.

I'd be curious to hear from someone that feels strongly about blocking first-party front end tracking. I generally assume that whatever website I am on would have a good sense of what I am up to just based on server side logs. Sure, if I block 1p logging they might not have a down to the second understanding of how long I am impressing on something, but overall I feel the point is moot.

Assuming I could see it coming, and had time to prepare:

1) Take PTO for that week. I would make it very clear to my team I will be completely offline (no checking email, or responding to Slack pings)

2) Give an early warning to family, friends, and significant other.

3) Plan out offline entertainment (books) and activities. If I was traveling I would print out any maps/tickets I need ahead of time

4) Relax and detox from my normally hyper-connected life

Appreciate the insights. It makes sense that this class of metrics have made it into the decision making process, and I am glad it is happening.

The two concerns that come to mind without deeply understanding the problem is that: 1) Measuring a qualitative, nebulous metric like "wellbeing" (which could mean different things for different people) is likely very hard to do right 2) In my experience, things tend to move fast, and experiments often don't run for _that_ long. I would hypothesize that Facebook's negative effects on users is a compounding effect that emerges over the scale of months. Sure, you can leave a small % of users in a holdout group of your experiment, but how often is that getting revisited?

I do like the idea that there are teams out there that are taking it as a goal to positively move these non-engagement metrics. If FB is going to correct course then steps like this are a big part of that.

I like to imagine there are a bunch of Facebook Homefeed engineers out there who ran dozens experiments, tuning this-and-that, and found the ones that boosted revenue, and user engagement by X%. No one thought too deeply at _why_ some experiments were successful. Perhaps it was chalked up as "our new ML model is matching users to content they care about more efficiently". Then they shipped it, and everyone celebrated their success.

My theory is that experiment dashboards, data visualizations, and "metrics" allow employees to almost fully disassociate from their product, and the end users. Engineers at large companies don't need to use, or even be familiar with the products they spend all day building. Yes, leadership and small pockets (researchers) can see the full picture. Everyone else stays willfully in the dark, doesn't look too closely, and clocks out at 5 happy because their dashboards look good.

The fact that we can apply these sort of therapies to an adult human who consists of millions upon millions of cells blows my mind. Having the ability to fix our "buggy" genetic code while we are alive is amazing.

I love the concept of these sort of apps. I am a data nerd, and would really enjoy having a birds eye view of how I spend my time. The problem for me is building a habit of consistent data entry. If I miss a few days it is hard to remember what I was doing and backfill old data.

I assume they use it to track DAUs/MAUs. Otherwise, they only have data on installs, but wouldn't have visibility into user retention.

I can say from experience on the other side that asking random employees of the company for API access on LinkedIn could work. People will inevitably drop a screenshot into Slack, ask who can help with this, and the right people will get tagged to take a look. No promises they actually do anything, but its probably a better shot than cold emails.

I happened to have the local news on yesterday evening and watched this ridiculous interview with him [1].

He is comically arrogant. Not someone I'd like to hangout with, but an interesting (although dangerous) character for sure.

[1] https://www.ktvu.com/news/man-arrested-for-riding-in-back-of...

This is anecdotal, but when I host my buddy at my place (he is high diamond on all roles) sometimes he'll hop on my account (low silver on all roles) and steamroll. I'd say 3-5 wins per loss, and he tends to stay off his mains. Yes bad games happen, but he consistently will leave my account at a higher SR than when he arrived (please don't ban me Blizzard). I am pretty confident a diamond level player could boost a bronze account in any role without much trouble.

Push notifications and their subtle ability to form usage habits (see notification -> open app -> browse feed) is a "Dark Pattern" that is used all across the consumer app industry. You can tell how focused a company is on growth and engagement by how many notifications you get a day (Clubhouse for instance slammed me with notifications until I shut them off).

This is cool. Is there an ML component, or is everything hand curated?

I think the problem here is that chess engines are going to recommend 'non-human' moves at any point of the mid/endgame. And these 'non-human' moves could be the first/second/third best moves according to the engine. You'd have to have to have decent understanding of the game to realize what moves aren't going to blow your cover. I am confident over the long run anti-cheating software could pick this up in most cases. But also what are the incentives for someone to cheat at online chess over the long run? It wouldn't be that interesting for more than a couple days to get a quick thrill of beating a bunch of people in my opinion.

Thank you dang. HN has helped me develop in so many ways, and I will always be grateful for all the work you put in to make HN the magical, wacky place it is.

Without knowing anything about keyboards this seems like a 'no brainer' to me. In fact, it seems so obvious that I am surprised market forces haven't solved for this already. I am curious why no one has come along, and built just this as there seems to be enough demand in the market.

This is great if the inventory is there. I don't mind paying an extra couple dollars for a book; for me the reason I return time, and time again to Amazon is because I can reasonable expect to search for a book and have it ordered in less than five minutes.

Recently I have become more interested in buying used books online, and had success ordering from https://www.betterworldbooks.com/ and https://www.thriftbooks.com/.

I'll check this out if I am looking for something new.

I believe this is almost table stakes for an ad platform these days. Marketers expect ever-more precise targeting to get better CPCs/CPAs/ROAS. This is especially true as an ad platform becomes more popular and CPMs naturally rise due to increased competition in the auction. When a company like FB/GOOG innovates in the ad targeting/measurement space every company will follow suit because their customers (advertisers) are going to ask for it. I believe market forces will continue to drive innovation in ads targeting until someone steps in and draws a line in the sand (eg regulation via the governement).

This is a fantastic site. I'm a little worried about using the "surprise me" feature at work, but I will return to this in my free time. I wonder what website attributes it looks for when it indexes.

According to the article his fund TCI was the most profitable hedge fund in 2019. The fund made an 8.4 billion dollar gain while RT made 5.6B. Bridgewater is not listed.