HN user
I seem to remember - but cannot find, even with an AI boost - someone's "law of computing" or somesuch describing the amount of time that has to pass before code you wrote is indistinguishable to you from code written by someone else. At any rate the interval is not so long.
I recall a good treatment of this issue in the early part of Joe Haldeman's classic The Forever War. Highly recommended.
other folks have responded about the state of Uber’s Autonomous driving program, so I just wanted to weigh in about the other question here.
GCP was not a strong competitor (in our eyes) when the on-prem decision was being made in the 2011-2013 timeframe, which was also before there was even an Autonomous program. The reason early infra was on-prem largely boiled down to a general distrust for the cloud from the Boss, who in my recollection had had some bad experiences with other portfolio companies suffering major downtime due to AWS outages.
Uber’s relationship with Google was great until that little legal matter. They were huge and very helpful investors in Uber.
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i'm not any kind of Asian but I believe #2, chopsticks sticking out of your rice, is rooted in a belief that it resembles the incense burners that would be set up at a funeral - a sort of bad luck charm.
Currently we have a perverse reverse lottery where if you're unlucky you just lose a day/month/year of your life
that's what happens if you're lucky
The requirement to be actively searching for work has actually been temporarily paused in many states, including eg/ CA https://www.edd.ca.gov/unemployment/eligibility.htm. Presumably that provision will be removed along with the SIPs, but just figured it was worth being precise here.
side note: Toyota shut down Scion in 2016
1/32,000th is 4x faster than 1/8,000th, no?
Bring on the armchair private market economists.
More like...dorknet
For the record - I used to be a an Engineering Manager at Yelp, and I've had my Yelp work emails searched in discovery during big lawsuits about the review filter. So did all of my colleagues. The result of all that should speak for itself.
Trust him about what? That article says: - He's "pretty sure" (direct quote) that they offered to take down reviews. Hardly a smoking gun. - He doesn't agree with the reviews of his business. No surprises there. - There's an article in a newspaper where a bunch of business owners claimed Yelp punished them for not advertising. - I think he even implies that Yelp's PR people being scared about that article is somehow evidence of it being true...which is borderline funny.
I trust my heroes too, but like, that blog post doesn't really...say anything.
To your first question - By all means, you could prove it. Establish relationships with and systematically monitor the displayed and filtered reviews of a statistically significant sample of businesses. Record when they are contacted by Yelp sales reps, record their decisions on those calls, and classify their filtered review behavior before and after. This is doable, and it would be enough information to determine if there is actually a correlation in review filter activity to advertising offers.
Go for it. As a former Yelp engineer, I can assure you that the answer would be negative (no correlation), but I invite you to give it a shot.
To your second question, the answer is "yes". A spam fighter simply cannot publicly release their spam detection algorithm - it would make the system too easy to bypass. SEO black hats have been trying for a decade to get around Google's sorting algorithms, and then they cry foul when Google changes things up. The message from Google all along has been: Stop trying to game our system, and instead focus on creating good websites. Yelp's situation is no different.
An important distinction here - the allegations don't just devolve into he-said/she-said: they've been outright dismissed, with prejudice, by courts of law as without merit.
Yelp has tens of thousands of paying business customers, and yet with all the sensationalistic media play this type of story somehow continues to generate, no one has ever produced empirical evidence of a single documented case of pay-for-play. I'll also point out that there are at least three former Yelp engineers on this thread - some of whom didn't even like working at the company - who are steadfastly defending Yelp's business practices as legitimate and above-board.
By all means, record it if it happens. But don't hold your breath.