freyir

> fewer (proportionately) young men are having sex,

Thanks. That's what I meant, but I certainly should have worded it better. I've updated my comment.

> If we assume that people with homosexual orientation attempting to conform to a heteronormative society would tend to have more trouble maintaining stable relations and thus cycle through relationships more frequently...

So if I understand you correctly, your theory is that closeted lesbians were sleeping with so many men that it inflated the statistics? And now that homosexual women no longer feel constrained by societal norms, a significant number of men are left with nobody to have sex with?

As the article points out, fewer young men are having sex, but roughly the same number of young women are having sex.

I wonder if dating apps (Tinder, Bumble, etc.) are leading women to have sex with a smaller cohort of desirable men. Years ago, OkCupid noted that a small percentage of men get an overwhelming percentage of messages from women. With the rise of "swipe right, swipe left" mobile dating apps, where people choose partners based almost solely on looks and status indicators, I can imagine it's getting even more unbalanced.

Yes, the housing supply in SF and the peninsula is not good. If you want a new build or lots of space, it is not the place to be.

I guess the idea is that for all the people using MapReduce, most would be better served by a different paradigm than MapReduce. Because in most cases, there's a better paradigm than MapReduce.

We're still in a boom period, where many start-ups/VCs are operating with deep pocket books and instructions to scale fast at any cost. During the next bust, lean will come back in fashion.

That seems to tilt a bit towards the profound.

That's true. I think my point still stands (OP interpreted the graphic one way, you interpreted it another way), but I'm splitting hairs.

Wouldn't it? What major metropolitan areas are you talking about specifically?

$250K is FANG compensation for an engineer with a few years of experience. According to NerdWallet cost of living calculator, equivalents are:

    Manhattan:    $314K
    Los Angeles:  $191K
    Boston:       $196K
    Chicago:      $157K
    Miami:        $152K
    Denver:       $149K
    Philadelphia: $146K
    Minneapolis:  $139K
    Atlanta:      $134K
    Des Moines:   $117K

So $250K in San Francisco should afford similar lifestyle as in other major cities paying $135K-$160K.

But a senior-level position in FANG should be closer to $350K and above. I think that becomes much harder to match as a commodity developer outside the Bay Area (it'd be $205K in Philly, for instance). And even if you did match it, and you're able to sock away X% of your income a year in both cities, the FANG salary leaves you with many more dollars in your bank account in a few years. You could always leave the Bay Area at some point, and spend those dollars in a low CoL area.

I'm not saying it's worth it. The Bay Area has a lot of downsides. San Francisco has become a crime-ridden cess pool in recent years. Commutes are horrendous if you don't live near work. And many tech companies in the Bay Area pay much less than FANG compensation (and I know from experience), which really makes it hard to stomach. But from a purely financial standpoint, it seems like the FANG developers are doing pretty well.

This pertains to their ownership stake in a very large, very public company that has impacted the lives (and often livelihoods) of almost everybody in the US, for better or worse.

I don't see what's wrong here. All the articles reprinting the salacious texts he sent to his girlfriend? That's another story.

The graphic isn't making an argument, it's stating a fact. If you think Uber's valuation is sensible, I don't think this graphic could sway you.

If I'm being cynical, TripleByte left this out on purpose. From what I've heard, they're mainly linking developers up with startup roles that don't pay much more than this (except perhaps in monopoly-money equity).

Of course, you'd be better off going to FANG or a (soon-to-IPO) unicorn where you'd make double these amounts with RSUs factored in. But if you can get in there, you probably don't need to go through TripleByte.

Then again, TripleByte also created https://www.levels.fyi/comp.html so maybe I am just being cynical.

Bay Area tech companies are also matching this base pay with RSU's, and total compensation should be roughly twice this. If companies are offering that much in St. Louis, sign me up.

Prior experience is good. I mainly care about internships because I don't want to deal with a recent college grad who has no concept of the world beyond the classroom. Prior experience serves the same purpose.

If you're looking for a job at a FANG company or similar, start preparing for job interviews by practicing algorithm and data structures interview questions. Solve problems with a pen and paper, or better yet, at a whiteboard. Practice walking through your solutions out loud. It's all a bit silly, but if you can do this well, you'll find a job in today's market.

If you're an R&D manager, you likely have much more latitude to rely on subordinates and not know what you want.

> "why there are such a few percentage of older folks in engineering"

No, there's a small percentage of older folks in software engineering. In almost any other engineering discipline, you'll find many older engineers who enjoy long careers, and whose perceived value often grows with age. That's because actual engineering principles change very slowly.

Most software jobs do not involve much engineering in the traditional sense; most of the effort is keeping up with the constant churn of flavor-of-the-week libraries and frameworks, information that will be often be outdated and useless in a few years.

Is one of those life lessons "stop playing poker"?

Because in my many hours frittered away in card rooms, I never once thought "these people have it all figured out."

The one guy has public perception on his side: Bitcoin has been talked about to death, but besides a few booms and busts fueled by speculators wanting to get rich quick, it feels like a failure to launch. The onus is increasingly on the Bitcoin proponents to step up and deliver real value.

Age discrimination as a service?

I could imagine this announcement will drive Schmidhuber up the wall. He's been very outspoken about how credit in the field should be assigned.

That said, I don't know how you could argue against Hinton's impact on the field, or LeCun and Bengio's achievements.

I totally agree that 90% of ML problems are engineering problems and having a PhD is not relevant to those cases. My comment was more about the 10%, the more research-oriented parts, which some companies have become very competitive about in the last few years.

> But the amount of tech debt produced by 'scientists' is horrendous.

Absolutely. I've been trying to exit a research-oriented position for the last few months because I want to work with competent engineers again.

The current "PhD hang up" in tech, if it exists at all, seems to be driven by the competition for ML talent (edit: ML research talent).

To some extent, this is understandable: a typical undergrad CS curriculum is terrible preparation for ML research. I'd even say almost any analytical field: statistics, signal processing, physics, math, etc. is better preparation for working in ML than a conventional undergrad CS curriculum. But PhD in CS with specialization in ML/AI would be ideal for most employers, since exposure to more advanced stats, linear algebra, estimation theory, etc. becomes likely.

The other factor is that ML research is moving quickly and knowledge is being rapidly disseminated in academic conferences. A PhD has an advantage there over a typical undergrad, since they've already spent years learning to parse academic literature.

Throughout most of my career, my PhD has felt like a liability. Especially when I've sought out a non-research-oriented position. Employers seem skeptical that I might rather spend my day coding a product I believe in, rather than solving esoteric research problems.

In the case of many PhD degrees, you devote yourself to studying a niche topic in great depth for several years. In the end, employers might see that you wrote a paper like "Electron vortex beams with high quanta of orbital angular momentum" (picking some academic paper at random), and have a tough time connecting that to their day-to-day needs. So I understand why employers have been cautious.

Not to mention, a non-negligible number of PhDs are incompetent at doing anything hands-on. And even when it comes to research, many are experts at coming up with overcomplicated solutions to non-existent problems.

That's a tough situation. It's good that you tried.

I've often seen families get particularly hostile when an in-law involves him or herself with the death or illness of a parent. It doesn't matter whether you're right or what approach you use. They're likely in one of the worst times of their life, and they're not going to be receptive to negotiation tactics.

Why is your wife not having this conversation?

Right. Those are the best unlimited rates you can get, and Apple is matching that rate with their digital card.

The downside is that their physical card rate (1%) is not as competitive, but they're trying to nudge people/businesses towards digital payments.

Yes, and 1% isn’t the best rate available, but you could always fall back to another rewards card instead of using the physical card.

2% cash back on all purchases through the phone with no annual fees?

I’d wager this is much better than what the majority of Americans currently have.

I loved the promise of Apple News, but in my experience it’s been pretty bad. As much as I try to curate it, it’s full of clickbait and topics I’m not interested in (really, Kylie Jenner posted a photo of her butt on Instagram and we need a news headline about it?).

The morning/evening digests seem to be higher quality (may be hand curated) but doesn’t seem personalized.

You had me up till OpenAI.

“Vindictive” means an strong or unreasonable desire for revenge. I didn’t imply that I want that.

You’re creating a false dichotomy between not enforcing laws on one hand, and being vindictive on the other. If those are the only alternatives you can see, that’s on you.