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Archivos mensuales:marzo 2019

Wildlife gets wilder than ever in new National Geographic Hostile Planet series – CNET

See how animals adapt and survive in the world’s most extreme habitats, in a new National Geographic series hosted by Bear Grylls, airing on April 1.
Source: CNET

Google adds Snake game to Maps apps for April Fool's Day gag – CNET

The reimagined Snake game will be playable in Android and iOS Google Maps apps for around a week.
Source: CNET

Galaxy S10 Plus vs iPhone XS Max: photo samples from our comparison – CNET

A side by side comparison of the pictures taken on Samsung’s new S10 Plus alongside Apple’s iPhone XS Max.
Source: CNET

We don’t need no education?

I’ve been doing a lot of interviews lately, and I’ve been watching the rise of Lambda School — which I think is fantastic, incidentally — and the combination has me wondering two things:

  1. how educated do software engineers need to be?
  2. And how well does that map to what they actually learn from formal education?

Let’s step back and define some terms before we try to answer those. First, by “formal” education I generally mean a four-year accredited university, whereas people with eg Lambda School or boot camps behind them are “informally” educated, and in turn distinguished from autodidacts. This is not universal. Early Google didn’t seem to consider anyone with less than a masters “formally” educated.

Second, of course there’s no absolute need. Since the dawn of the first vacuum tube, and very much including hardcore grotty stuff like compilers and cryptography, software has been a field in which people with no formal training whatsoever have thrived and succeeded wildly. Obviously neither a formal nor an informal education is actually necessary. What we’re actually asking is: in general, is there reason to believe software engineers with formal educations are better hires?

Note that, speaking as an employer, I don’t actually care whether this is due to selection bias, i.e. whether it’s because capable people are more likely to be formally educated or because they actually learned from it. I’m happy to accept that the entire university system in any country, especially yours, is deeply and increasingly pathological, unfairly and jealously hierarchical, terrifyingly high-priced, and deeply flawed at credentialing and capability signaling.

That’s a big deal to me personally … but when wearing my hiring hat, I don’t care about how that credentialing sausage is made. All I’m interested in, when I’m interviewing, is: are those signals meaningful? Are those people more or less likely to succeed, or make a mess I will subsequently have to clean up?

It’s awfully hard to find applicable statistics here, let alone any whose compilers didn’t have some implicit axe to grind. And of course I have my own biases: I have a four-year degree, from a (Canadian) school outside the hierarchy of the (American) nation in which I live, but with a strong international reputation (Waterloo), in a field (electrical engineering) only somewhat associated with software development.

I used to ask an interview question or few about theory. One of my go-to questions used to be: “Do you have a favorite algorithm, and why?” I’ve stopped asking it, because the answer is almost always some variant of “no.” Even those who have formally studied algorithms rarely care about them. Sometimes I get some variant of “I know what an algorithm is, but I’ve never actually written one.”

That’s not surprising. A whole lot of modern software engineering consists of connecting pre-existing components in slightly new ways. “Algorithms,” as we usually understand them, come baked into our tools and libraries. Does a formal education in big-O notation and Turing machines help at all? Short answer: no. Is prior experience with matrix multiplication and eigenvectors useful? Actually yes, in the rarefied case that you want to understand modern machine learning … but, as the tooling improves, not so much if you just want to use it.

Modern software engineering often — but not always — has much more in common with plumbing or carpentry than with hacking art, architecture, or computer science. It’s more like cranking out aggregative blog posts, or writing business nonfiction, than it is like crafting a novel, much less writing poetry.

Of course, this comes with the important caveat that the analogy only stands if every few years the tools which plumbers and carpenters used changed completely, along with the occasional rise of whole new approaches to their fields. But still, the need for constant re-education is probably an argument against formal training; why spend four years learning how to use tools which will probably be obsolete two years after you graduate?

So it seems reasonable to argue that if — if — you strip out theory and history, then the pedagogical content of “formal” education, vs. “informal” education plus a year or two of experience, is roughly equivalent. Autodidacts? …They’re a difficult edge case. They tend to be highly intelligent, and both hard and fast workers, but they haven’t spent as much time implicitly learning from others’ mistakes, so if still anywhere near their larval stage, they’re more likely to make them anew. An autodidact with an extensive history / portfolio, though, has no strikes against them.

What about the credentialing and selection bias of smarter people being drawn to universities? I concede there’s something to that. If it’s a university I’ve heard of (again, I didn’t grow up here) then that biases me in favor of a candidate. But at the same time, America’s education system is so screwed up, giving such advantages to the already privileged, and the existence of “legacy” students (who don’t really happen in Canada), that at the same time I’m extra wary.

You might conclude that ultimately I don’t distinguish between formally and informally trained students. But you’d be wrong. Most of the time they actually are surprisingly equivalent. But software engineering isn’t always like plumbing — and because of that, I find myself pretty unwilling to strip out theory and history from the analysis after all.

Formal education, whether it be engineering or the liberal arts, is supposed to teach you how to think critically, how to analyze systematically and strategically, and how to educate yourself efficiently, more than it’s supposed to import any particular body of knowledge. It doesn’t always succeed at this. And most of the time you don’t need any of those skills (except the last, which you need forever.)

But on the occasions that you do need those other meta-skills, you need them badly — and it seems to me that you’re noticeably less likely to gain them from informal training or autodidacticism. You’re probably right to be suspicious of this view. I’m suspicious of it myself. It’s probably essentially impossible to measure and test.

It still seems to me, though, that what you gain from formal education is not so much an expansion of your mind as a specific and (somewhat) controlled expansion of your worldview, one which hasn’t yet been replicated elsewhere. That doesn’t mean it can’t be. But there’s more to it than just intensive training in technical skills … and maybe that kind of meta-skilling is the next step in nontraditional education.

Source: TechCrunch

Elon Musk, SoundCloud rapper

How’s your weekend going? Good, good. Now, here, have a billionaire’s super autotuned rap track about a famous deceased gorilla:

Tesla/Space X/Boring Company guy, Elon Musk has apparently uploaded a SoundCloud track titled “RIP Harambe,” about the 17-year-old Western lowland gorilla who was shot to death at a Cincinnati zoo in 2016 after a three-year-old boy climb into his enclosure. No word yet on precisely what role Musk played in the creation of the track, beyond releasing it on his “failed […] record label.”

“This might be my finest work,” the billionaire tweeted about the track, uploaded to his Emo G (emoji) Records SoundCloud account. The song, which includes lines like “RIP Harambe / Smoking on some strong hay” appears to be more meme-centric that serious musical pursuit. But as James Dolan can happily attest, you should never let a little thing like being an ultra-wealthy executive get in the way of your dreams.

So, happy early April Fool’s Day, I guess. Honestly, I don’t really know anymore. Now back to your regularly scheduled weekend plans.

Source: TechCrunch

Elon Musk drops an auto-tune rap about 2016 meme Harambe – CNET

You better lose yourself in the Musk tweets.
Source: CNET

La misión espacial europea que intenta protegernos del 'gran apagón'

Las tormentas solares extremas como el evento Carrington podrían destruir nuestros sistemas de comunicaciones, eléctricos y hasta el GPS. Aunque no podemos luchar contra ellos, la misión de Lagrange aspira a ofrecernos un sistema de alerta temprana para estar preparados
Source: MIT

Caso de éxito: la 'start-up' logística reduce tiempos y costes con IA

Gracias a su software de inteligencia artificial, Wise Systems redujo los retrasos de entrega en un 85 % y las distancias recorridas de la flota en un 13 %. Estos asombrosos resultados, además, le han ayudado a recaudar 6,2 millones de euros del fondo de IA de Google
Source: MIT

Sale a la luz una nueva forma de hackear la comunicación cuántica

Aunque la criptografía cuántica promete transmisiones de información 100 % seguras, las brechas del mundo físico siguen amenazando esta seguridad. Un equipo de investigación acaba de descubrir otra estrategia que los hackers pueden usar para interceptar los mensajes sin ser descubiertos
Source: MIT

Captain Marvel about to blast past $1 billion at box office – CNET

Live-action remake of Dumbo soared to the top of the weekend box office.
Source: CNET