ChefboyOG

Did you just call Rocky IV "a tale as old as human history?"

Foam is pretty good for this as well: https://foambubble.github.io/foam/

Which, admittedly, is a real loss.

Not arguing that there isn't probably a level of bloat at Uber, but the complexity of Uber's product is a lot more than other commenters are implying here. Their ML platform alone seems like a monster: https://eng.uber.com/michelangelo-machine-learning-platform/

I don't know if that's actually a moat. It's fairly common in my experience to have Uber and Lyft downloaded, for example, to compare rates, particularly when surge pricing comes into play.

Last time I was in NYC, I used Uber-for-taxis Curb app, which I found to be consistently cheaper and largely interchangeable UX-wise with Uber (upfront fares, ride tracking, driver rating, etc). In NYC at least, Uber offered me as a user no tangible upside. I think their inherent competitive advantage against taxis, at least in major metropolitan areas, has been exaggerated.

That is not the original bargain. The decision to not recognize a state religion was a part of US political policy from very early times. In 1797, the treaty of Tripoli stated "The Government of the United States of America is not, in any sense, founded on the Christian religion." The decision to grant churches tax exemption comes much later and involves quite a bit of back and forth at the federal and state level. Though, to be fair, there has always been quite a bit of not-officially-ratified tax leniency on churches, even before federal laws were passed.

The endgame seems to be that all Apple products are just iPads of different sizes.

There's nothing ridiculous about the fact that your wife enjoys baking bread.

There's a lot that's ridiculous about bread being so expensive that recreating the entire supply chain in your backyard is the only economically viable option for obtaining it.

The metaphor pretty clearly was not about critiquing baking as a hobby.

There's a famous quote from John Wanamaker that goes something like:

"Half of my advertising budget is wasted. The problem is, I don't know which half."

I think an automatic alert (which can be set to ignore by the user) which flags such links, and offers the option to turn on a config flag which enables URL manipulation like this, would be a good compromise.

We can, though the teams I know who are doing it are not using GPT-3. If you look at any platform that has live chat features (think Instagram Live or Twitch) and an ML team, then there is almost certainly someone working on toxicity filtering along with propaganda detection etc. It's a really really hard problem, particularly when you think about how chat platforms tend to develop their own short hand and slang.

An "AI winter" like we had before isn't plausible now. In the past, it was the failure of AI research to deliver business impact. The current ML boom is fundamentally different in that it already has become a standard part of the stack at major companies:

- Recommendation engines (Google, YouTube, Facebook, etc.)

- Fraud detection (Stripe, basically all banks)

- ETA prediction (Uber, every delivery app you use)

- Speech-to-text (Siri, Google Assistant, Alexa)

- Sequence-to-sequence translation (used in everything from language translation to medicinal chemistry)

- The entire field of NLP, which is now powering basically any popular app you use that analyzes text content or has some kind of filtering functionality (i.e. toxicity filtering on social platforms).

And that's a very cursory scan. You can go much, much deeper. That isn't to say that there isn't plenty of snake oil out there, just that ML (and by extension, AI research) is generating billions in revenue for businesses today. There's not going to be a slow down in ML research for a while, as a result.

This.

As with many things in applied ML (although, importantly, not all), the question of "is x useful?" comes down to the scale at which you're operating.

...what? Is there some media conspiracy pushing unnecessary organ transplants on people that I'm unaware of?

I don't think anyone gets a liver transplant because of an article in Goop. I imagine that in most cases, they do it because they're going to die without it.

It's weird, nowadays I think the only times I use SO as a reference are when I'm hitting something that is very product-specific (i.e. a weird error message in Typescript that doesn't quite make sense). In those situations, there's usually some SO thread that explains the quirky behavior and workarounds in depth. Otherwise, I'm never there anymore, which certainly wasn't the case years ago.

I'm interested in the differences between opposites and inverses here. Trauma denotes a destructive change in some equilibrium, and healing inverts that. What is opposite of that disruption though? Is it growth?

None that I've noticed. There was a small issue with wifi dropping intermittently, but a small tweak fixed that as well. I regularly lock the screen for long periods without issue.

Really, I'm not a Linux power user who is happy to hack for hours to make audio work. It's amazing the degree to which this just worked out of the box

I'm using it on a Surface Pro 3 that runs Pop OS and have nothing but positives to report.

Additionally, it's by far the best tablet experience I've had not just on Linux, but period.

Because when you visit a new site, you don't know ahead of time if it is useful or not.

That's just how "new" works.

For filtering opinions in areas I"m unfamiliar, I don't have a best approach—though I'd love to hear one.

One thing I've done which has been helpful is to try my best to be conscious of my relative level of expertise, and to treat opinions as interesting places to begin research. A plausible sounding theory from an "expert" in a comment isn't inherently factual, but provides me a good jumping off point to research the topic if I'm curious. As a corollary to this, I also do my best to be conscious of this relative level of expertise when sharing any information I might've gleaned from an HN thread with others.

I found outlier.org to be fantastic.

The full title went over the length limits by a fair bit.

Who could forget the spiritual predecessor to the oregon trail, the via appia?

It's not an accusational claim. It's a joke about a popular game. This is not an insane discourse on the nature of evidence, it's simply a reference you weren't familiar with.

Oddly, the last technical interview process I went through was the best and in some ways, the most old fashioned.

There were three "rounds":

1. Phone screen with actual lead developer. There were some quiz-y questions here, which I'd previously thought of as a silly outdated approach, but it honestly was a low stress filter for basic technical knowledge.

2. 90 minute pairing exercise with the same lead developer. We built a small example app together. Resources were sent over ahead of time so my environment was good to go, and the expectation was set from the start that the goal was to assess how I thought and approached code, not to see how far I could get in 90 minutes.

3. 4 hour "on site" where I talked to each developer on the team I'd be joining. No technical exercises. Each person came with their own questions, and expected me to ask mine.

What I took away from the experience was that companies are seriously overthinking and over-engineering the process. There isn't a magic heuristic you're going to discover that will identify "10x engineers." You can vet if someone is technically competent enough for the role, approaches software in a way that gels with your org, and if they have any red flags in fairly straightforward fashion that doesn't require enormous amounts of prep for them or your team.

This is the essence of what Google implements. Links between sites are a form of user curation, user behavior (clicks, read throughs, bounce rate, etc.) are like inferred votes. The problem is, everything is gameable. Marketers abuse reddit as well, it just isn't quite as profitable as ranking #1 on Google. If a major search engine implemented a voting model, it too would spring an entire industry of "optimizing" for rankings via upvotes.

...what? The history of mob-dynamic, targeted harassments on the internet is, generously, uniformly distributed across gender. See: 4chan/the web in general, prior to very recent history.

Even if we scope it down specifically to fandoms engaging in targeted harassment campaigns, see: Gamergate, Star Wars, the insane fandoms of YouTubers like Logan Paul and PewDiePie.

Blocking non-Google users would be nonsensical. News sites currently have tons of non-revenue adding users. The problem they're trying to solve isn't "How do we block these people?"—it's how do we monetize them.

This is why the real shift you're seeing in media right now is back towards subscriber models. Ads are still providing the lion's share of revenue, but as someone whose worked with many media companies, I can tell you that nearly everyone is obsessed with growing their paying subscriber base.

Lex is a pretty unconventional interviewer, but I actually think he's pretty fantastic at what he does. In particular, he is one of the best at thinking like a beginner and asking clarifying questions as his guests talk. He interviews a lot of brilliant people who can speak at some depth about topics that need context, and he does a good job of in real time figuring out where they need to clarify without obstructing their explanation. For example, I think he got one of the best interviews I've seen out of Wolfram.

I don't know if you've ever interviewed someone, but that kind of awareness and quick thinking is really really hard.