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Reminds me when a morning news service was live scrolling a twitter hashtag on tv and a dick pic popped up. The reporter was so surprised, lol.


I love how he captures it in a balloon during this Ted talk on fatloss. https://www.youtube.com/watch?v=vuIlsN32WaE


He definitely knew how to program, just by listening him talk about it. I don't think he was a Midas but he understood it. He was really smart, listen to his lecture to MBA students in the early 90s, for a guy who never went to college, his understanding of microeconomics was amazing.


Just to clarify, he did go to college (Reed), but didn't graduate.


I don't think I have the motivation type ADHD but I do struggle to get motivated, especially after the initial excitement phase of a project. What I found worked for me was a particular set of songs, once I put that playlist on, within 5 minutes I'm in the zone. I don't ever listen to that playlist any other time.


Here's what I miss, there were these two hole in the wall restaurants in LA that we discovered,we would travel for an hour due to traffic. The food was amazing and we would always have time to chat with the owner and staff, it was always just a few tables filled, beautiful paintings. Then one day, we went to one of them and the line was out the door, inside was packed. The owner was surprised at the growth but some Hispters put it on yelp with good reviews and it just blew up from there.

The quality of the food went down in a big way, especially the speciality drinks they would make but the owner was able to open up 3 more of those restaurants. The other restaurant still hasn't been discovered and is not on yelp but we haven't been since the pandemic. I guess,something is lost and something is gained but I miss finding high quality, low trafficked restaurants and sharing them with close friends.


This gave me flashbacks of Flash before Steve Jobs killed it.


Im just curious, why is a Radiation oncologist on HN?


Not op but rad oncs are a weird bunch. They get to play with cool machines and imaging and there is a natural overlap with coding and software. There are a number of medical fields like this. So I’m guessing somewhere along those lines (which is a bit like me, but my applications are less clinical!)


I felt the same way, what's an article about radiation oncology doing here on HN? :)

Ditto to the comment below. Former coder turned doctor. Radiation Oncology was a quasi natural choice (radiology and emergency medicine are also very tech heavy fields!) Still interested in coding.


Also how will they determine this part: "Location does factor, however, into PwC employees' pay, Seals-Coffield said. Employees who opt to work virtually full-time from a lower-cost location would see their pay decrease, she added."


I think your comment is a bit dismissive. Facebook is not the first to encounter this, it happened 6/7 years ago and they should have known better. Secondly, if the Data Scientist working on this were all black, this would not have happened, just like the automatic soap dispensers in bathrooms.


Why would that be true? I don't understand the argument that black people would have avoided this.

From what I can tell the only fix here is a hardcoded workaround outside the net, or a substantially more powerful architecture.


What’s this about soap dispensers?


FB had a soap dispenser that didn't recognize black people.

https://gizmodo.com/why-cant-this-soap-dispenser-identify-da...


When the video comes up, facebook displays a message that says it is "false information".

(And when you click "why" you get a picture of Arabic text, which can't be copy/pasted into translation software)

Shame on you for distributing false information, it's a good thing we have facebook protecting The Truth. /s


The link says that it's partly false because it's an infrared sensor, that doesn't detect any skin color and isn't biased by virtue of not really making any decision. It just dispenses soap when the infrared sensor gets triggered. The problem is that according to the article black skin does not reflect infrared radiation very well (no idea if that's true, but that's the claim here) meaning it's more of a physical limitation than a "defect" as can be argued in the case of AI models.

But the article also says that a counterargument could be that the existence of machines that aren't very suited to a big part of the population can be seen as proof of some latent Racism (to be more accurate, discrimination is closer to what's used in the article) whether intentional or not.


The big question is, within the next 5yrs how much charge will you be able to get in 10 minutes.


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