Mostrando entradas con la etiqueta la vida misma. Mostrar todas las entradas
Mostrando entradas con la etiqueta la vida misma. Mostrar todas las entradas

domingo, 26 de agosto de 2018

With Greed and Cynicism, Big Tech is Fueling Inequalities in America (by @filloux)

With Greed and Cynicism, Big Tech is Fueling Inequalities in America – Monday Note, Frederic Filloux

…In the end, local taxpayers will subsidize Amazon shareholders…

Hi-tech firms are prominent among recent tax-break “megadeals” awarded by cities and states. Tesla’s battery factory ($1.3bn from Nevada), Foxconn’s display-screen plant in Wisconsin ($4.8bn) and Apple’s data centre in Iowa ($214m) are typical. The Apple centre, a cloud computing facility, will have only 50 permanent jobs, so the cost per job exceeds $4.2m. The Foxconn deal, even by the state’s own official estimate, won’t break even for taxpayers for 25 years — an extremely risky time horizon given the likelihood of new technologies leapfrogging the company’s product much sooner. The Tesla deal was 14 times costlier than anything Nevada had done before.

domingo, 4 de marzo de 2018

How To Become A Centaur (by @ncasenmare)

 AIs are best at choosing answers. Humans are best at choosing questions.
via @mit_jods How To Become A Centaur by Nicky Case

…we’ve told ourselves that our relationship between ourselves and our AI is like a chess game: 
Zero-sum — one player’s win is another player’s loss.

They invited all kinds of contestants — supercomputers, human grandmasters, mixed teams of humans and AIs — to compete for a grand prize.2
Not surprisingly, a Human+AI Centaur beats the solo human. But — amazingly — a Human+AI Centaur also beats the solo computer.

This is because, contrary to unscientific internet IQ tests on clickbait websites, intelligence is not a single dimension. (The “g factor”, also known as “general intelligence”, only accounts for 30-50% of an individual’s performance on different cognitive tasks.3 So while it is an important dimension, it’s not the only dimension.) For example, human grandmasters are good at long-term chess strategy, but poor at seeing ahead for millions of possible moves — while the reverse is true for chess-playing AIs. And because humans & AIs are strong on different dimensions, together, as a centaur, they can beat out solo humans and computers alike.

Now, not only does pairing humans with AIs solve a technical problem — how to overcome the weaknesses of humans/AI with the strengths of AI/humans — it also solves that moral problem: how do we make sure AIs share our human goals and values?
And it’s simple: if you can’t beat ‘em, join ‘em!

The rest of this essay will be about AI’s forgotten cousin, IA: Intelligence Augmentation. The old story of AI is about human brains working against silicon brains. The new story of IA will be about human brains working with silicon brains. As it turns out, most of the world is the opposite of a chess game:
Non-zero-sum — both players can win.

…I’ll show how humans are already working with AIs in various fields, from art to engineering. And finally, I’ll give some rough ideas on how you can design a good partnership with an AI — how to become a centaur. 
Together, humans and AI can go from “checkmate”, to “teammate”.

Over the next few decades, the wonders in The Mother of All Demos slowly reached the public. The personal computer gave ordinary people the power of computing, something only governments and big corporations could afford previously. A particle physics lab in Switzerland released a little thing called the “World Wide Web”, which let people share knowledge using things called “web pages”, and people could even create connections between pieces of knowledge using something called a “hyperlink”.

Steve Jobs once called the computer a bicycle for the mind. Note the metaphor of a bicycle, instead of a something like a car —a bicycle lets you go faster than the human body ever can, and yet, unlike the car, the bicycle is human-powered. (Also, the bicycle is healthier for you.) The strength of metal, with a human at its heart. A collaboration — a centaur.




Doug Engelbart envisioned that the computer would be a tool for intellectual and artistic creativity; now, our devices are designed less around creation, and more around consumption. Forget AI not sharing our values — even non-AI technology stopped supporting our values, and in some cases, actively subverts them.7
We hoped for a bicycle for the mind; we got a Lazy Boy recliner for the mind.

When you create a Human+AI team, the hard part isn’t the “AI”. It isn’t even the “Human”. 
It’s the “+”.
Human nature, for better or worse, doesn’t change much from millennia to millennia. If you want to see the strengths that are unique and universal to all humans, don’t look at the world-famous award-winners — look at children. Children, even at a young age, are already proficient at: intuition, analogy, creativity, empathy, social skills. Some may scoff at these for being “soft skills”, but the fact that we can make an AI that plays chess but not hold a normal five-minute conversation, is proof that these skills only seem “soft” to us because evolution’s already put in the 3.5 billion years of hard work for us.

And if you want to see the weaknesses of humans, go to school. This is the stuff that’s hard for human intelligences, and requires years of training to gain even a basic competency: arithmetic, computation, memory, logic, numeracy. Note that these are all things your phone can do better and faster than the smartest human alive. (And we wonder why kids feel school is meaningless…)

AIs choose answers. Humans choose questions. And given all the possibilities, the promises and pitfalls of technology in the coming decades, the next question for us humans to choose is:
What’s next?

Meanwhile, the story of IA has been one of a tragic fall. Starting out strong with Doug Engelbart’s Mother of All Demos, the idea of IA has slowly been forgotten, as technology shifted from tools for creation and more towards tools for consumption. Someone stole the wheels off the bicycle for our mind.

But now, these two story threads may be starting to wrap together, forming a new braid in history: AIA — Artificial Intelligence Augmentation.8 IA can give AI the human partnership it needs in order to remain aligned with our deepest goals and values. And in return, AI can give IA some new replacement wheels for the bicycle of our mind.

I’d like to tell you what the future holds. But if you tell someone something good is inevitable, it can cause self-defeating complacency — and if you tell someone something bad is inevitable, it can cause self-fulfilling despair.
Besides, answers are for AIs. As a human, you deserve questions.

Symbiosis shows us you can have fruitful collaborations even if you have different skills, or different goals, or are even different species.  Symbiosis shows us that the world often isn’t zero-sum — it doesn’t have to be humans versus AI, or humans versus centaurs, or humans versus other humans. Symbiosis is two individuals succeeding together not despite, but because of, their differences. Symbiosis is the “+”. 
A new chapter in humanity’s story is beginning, and we — living together — get to write what happens next.

lunes, 25 de diciembre de 2017

Carlos Barrabés entrevistado por Iñaki Gabilondo

 Gracias a @raulmartincalvo por la recomendación de esta interesante entrevista (en 4 partes) de Iñaki Gabilondo a Carlos Barrabés en 2010… ¡2010! hace más de siete años; sorprende ver algunos temas sobre la mesa ya entonces.

Me ha servido para encontrar de paso la "continuación", con una primera parte muy centrada sobre China, y una segunda parte más global.
Muy interesante también.

Marzo, 2010!









Abril, 2017


sábado, 28 de octubre de 2017

7 Types of Companies You Should Never Work For

 @glassdoor "And just say no to places who define “hard work” as 15-hour days and long weekend email threads."

 7 Types of Companies You Should Never Work For


1. The High Turnover Outfit
Red flags: Key roles pop up consistently on a company’s job site.

2. The Culture Clash Corp
Red flags: Negative employee reviews, lack of focus on a true employee experience, recruiters evading your questions.

3. The Curb Appealer
Red flags: Pristine and ideal image in marketing materials and publicity, however, the day-to-day operation is far from glamorous. Only the leaders have what can pass as offices, staff is dispersed amongst shoddy cubicles, lighting is awful, technology is from the ’90s, and let’s not get started on the break room.

4. The Top Heavy Business
Red flags: Too many executives brainstorming, too few employees tasked with executing.

5. The Perpetual Promisor
Red flags: Unfulfilled corporate expectations, employees report a lack of trust in CEO, inability to live up to brand promises.

6. The “Stagnator”
Red flags: Lack of learning opportunities, fails to promote mentorship, offers little more than the role you’ve applied for.

7. The Directionless Ship
Red flags: No clear plan for the future, employees don’t know long-term goals, senior leadership fails to adequately communicate.


sábado, 2 de septiembre de 2017

Cuando la carrera cobra más importancia que el destino

~Antoine de Saint-Exupéry; Tierra de los hombres, 1939

"El uso de una herramienta inteligente no te ha convertido en un aburrido técnico. Me parece que esos que tanto se espantan de nuestros progresos confunden el fin con los medios. En efecto, quien siembra con la única esperanza de lograr bienes materiales no logra nada por lo que valga la pena vivir.
La máquina no es un fin.
El avión no es un fin: es una herramienta. Una herramienta como el arado.



Si creemos que la máquina echa a perder al hombre es, tal vez, porque
nos falta un poco de perspectiva para poder emitir un juicio sobre las consecuencias de cambios tan rápidos como los que nos ha tocado vivir.
¿Qué son cien años de historia de la máquina frente a los doscientos mil años de historia del hombre? Acabamos de instalarnos en este paisaje de minas y centrales nucleares. Acabamos de mudarnos a esta nueva casa, que todavía no hemos ni siquiera terminado de edificar. A nuestro alrededor todo ha cambiado muy deprisa: relaciones humanas, condiciones de trabajo, costumbres. Hasta los fundamentos de nuestra psicología se han visto sacudidos. Las palabras separación, ausencia, distancia, regreso, aunque son las mismas, ya no remiten a las mismas realidades. Para aprehender el mundo de hoy usamos un lenguaje creado para el mundo de ayer, y nos parece que la vida del pasado se adecúa mejor a nuestra naturaleza porque responde mejor a nuestro lenguaje.



Cada progreso nos ha alejado un poco mas de unas costumbres que todavía no habíamos tenido tiempo de adquirir,
por lo que somos auténticos emigrantes que aun no han podido fundar su patria.



Todos somos como jóvenes ingenuos que se siguen asombrando frente a juguetes nuevos. Por eso competimos con los aviones: éste sube más alto, ése vuela más rápido. Olvidamos el motivo por el que los hacemos volar. 
La carrera cobra más importancia que el destino,
y siempre ocurre lo mismo. Para el infante del ejército colonizador que funda un imperio, el sentido de la vida es conquistar. El soldado desprecia al colono, pero ¿acaso esa conquista no se lleva a cabo para que el colono pueda afincarse? Del mismo modo, al exaltar nuestros progresos, nos servimos de los hombres para trazar vías férreas, para erigir fábricas, para perforar pozos de petróleo. Casi habíamos olvidado que hacíamos esas obras para que sirvieran a los hombres. Durante la conquista nuestra moral fue una moral de soldados, pero ahora tenemos que colonizar, tenemos que llenar de vida esta casa nueva, que todavía no tiene rostro. La verdad fue, para uno, edificar; la verdad es, para otro, habitar.



Así, poco a poco, nuestra casa se hará más humana. Incluso la máquina, cuanto más se perfecciona, más se difumina detrás de su función. Parece que todo el esfuerzo industrial del hombre, todos sus cálculos, todas las noches en vela encima de los planos, sólo conduzcan de modo visible a la sencillez. Parece que se necesite toda la experiencia de varias generaciones para perfilar lentamente la curva de una columna, de un casco de barco, de un fuselaje de avión, para lograr la pureza primigenia de un seno o de un hombro. Parece que el trabajo de los ingenieros, de los delineantes, de los analistas del centro de estudios, consiste, aparentemente, en borrar y pulir, en aligerar aquel empalme, equilibrar esta ala hasta que ya no se la note, hasta que ya no sea un ala incrustada en un fuselaje, sino una sola forma que, perfectamente lograda, se ha desprendido de su ganga; una forma que sea como un conjunto misteriosamente ensamblado, espontáneo como un poema.
Parece que la perfección se alcanza no ya cuando no queda nada por añadir, sino cuando no queda nada por suprimir. Al término de su evolución, la máquina se disimula.

De esta forma, la perfección del invento reside en la ausencia de invención. Y así como en el instrumento se ha ido borrando cualquier mecánica visible, por lo que disponemos de un objeto tan natural como un guijarro pulido por el mar, el manejo de la máquina, admirablemente, consigue que nos olvidemos de ella.




En otro tiempo teníamos que trabajar con un artefacto complicado. Actualmente nos olvidamos de que un motor gira. A fin de cuentas cumple con su función, la de girar, así como un corazón palpita y no por ello nos fijamos en el nuestro. 
La herramienta ya no absorbe nuestra atención, más allá de sí misma, y gracias a ella encontramos nuestra auténtica naturaleza,
la del jardinero, la del navegante o la del poeta."






domingo, 20 de agosto de 2017

5 ways to get out of your own way and communicate clearly

by @saralindberg13
I still find some trouble listening to the intent behind the words and not making assumptions.

Headspace blog – 5 ways to get out of your own way and communicate clearly B
Be impeccable with your word.Avoid taking things personally.Avoid making assumptions. The problem with making assumptions is that they’re really only a version of our own observations and feelings.Always do your best.Be skeptical, but learn to listen. “Listen to the intent behind the words, and you will understand the real message.”


miércoles, 2 de agosto de 2017

How To Spot and Spark Flow

by @uicynthia Track and Facilitate Your Engineers’ Flow States In This Simple Way | First Round Review

‘The more a job inherently resembles a game — with variety, appropriate and flexible challenges, clear goals, and immediate feedback — the more enjoyable it will be regardless of the worker’s level of development.’ ~ Csikszentmihalyi


Perhaps more important than recognizing flow, then, is recognizing its absence. Typically, engineers who fall out of flow will land in one of three common ruts:
Apathy — Low Skill and Low Challenge
Maxwell looks for one big red flag to spot this one: a consistent failure to chime into the conversation. An apathetic team member offers no suggestions about product features or team processes. They don’t share an opinion of job candidates, and try to avoid weighing in on ideas when asked. “It's almost as though they're hoping they don't get called on,” she says. “They're not being challenged, and they don't care.”
Managers at larger companies in particular may need to look out for one specific type of apathetic employee: “Rester Vesters” or people who just phone it in until their stock options fully vest.

Anxiety — Low Skill and High Challenge

When someone is pushed to tackle challenges their skill set can’t accommodate — or at a pace that isn’t feasible — anxiety is an understandable outcome. Maxwell urges leaders to keep an ear out for telltale anxiety-based phrases, and know how to translate them.
“Listen for things like, ‘Oh, this is a speculative fix,’ or ‘I wouldn't normally do things this way, but given the time constraints…,’” she says. “People who are feeling anxiety might also start blaming others for not meeting a deadline. Or they may say, ‘I have too much on my plate right now.’"

Boredom — High Skill and Low Challenge
“Usually people will fall into boredom because their skillset has increased. They've taken a leap forward, they’ve learned a lot. Maybe they just shipped something or conquered an obstacle, and now they don't feel like they're being challenged,” says Maxwell.
A bored engineer is usually executing the same tasks again and again, finishing them quickly and then spinning their wheels waiting for a new assignment. “Boredom might manifest as resentment over how projects are being assigned across the team,” says Maxwell. Keep an eye out, too, for anyone who creates unnecessary projects, or over-engineers simple problems, just to flex underused muscles. “If you see an increase in exotic, latest-and-greatest libraries entering your codebase, you might have a bored team.”

Between The Extremes

Of course, human emotion — like human workplaces — is complex, and people will likely spend some portion of their time moving between states. Those periods of transition, as someone moves out of flow in one direction or another, can be particularly impactful times to guide employees back toward flow:

Doubt — From Flow Toward Anxiety
When someone takes on greater challenges, without expanding their skill set to meet them, it’s logical that they would begin to experience self-doubt. In these cases the person suspects they’re lacking the skills to achieve the task. They might start to take offense to otherwise harmless code reviews. Or get stuck in analysis paralysis. They might spend a lot of time seeking advice from senior developers.
Left unchecked, the danger is that doubt becomes infectious. Engineers in this state may begin to not only doubt the value of the project but their leadership team, too. “They may begin to think, ‘Are they making good decisions? Have they put us in an unreasonable timeline? Are they asking us to do something that's just not possible?’" says Maxwell.
When you see reports plotting themselves on the graph in this direction, encourage them to speak up about any concerns they’re having. Simply acknowledging those feelings of doubt can be the fastest way to move back into flow. “One good rule of thumb is think smaller. That means breaking a task into smaller parts to build up confidence. Or celebrating smaller wins than you would otherwise,” says Maxwell. “If that fails, they may need some scaffolding. Get the person in a pair-programming situation so the world doesn’t feel like it’s resting only on their shoulders. As the person regains confidence, introduce more independent work.”

Nostalgia — From Flow Toward Boredom
The move toward boredom typically follows a period of skill-building; the engineer no longer feels challenged because they’ve grown. Falling out of flow in that direction is often marked by feelings of nostalgia. “They want to recreate what it felt like to be in flow, and they don't know exactly how,” says Maxwell.
There’s a hopefulness to this moment, though. A person experiencing nostalgia doesn’t want to be bored; they want to recapture the feeling of learning and growing. And that’s prime material for a manager looking to coax that engineer back into a productive state. “Help them identify what they’re nostalgic for. For example, is it the size of the team, or the ambition of the project?” Work with them to recreate the conditions they’re missing, while they’re still fresh in their mind.
The best managers will use every tool at their disposal to understand what’s going on within their teams, including, of course, their own observations. But while looks are famously deceiving, quantitative assessments are more concrete. In many cases, giving your team an objective way to articulate dissatisfaction is the only way to uncover important trends.

domingo, 16 de julio de 2017

How to Unlock Insightful Conversation

6 Tips from IDEO Designers on How to Unlock Insightful Conversation - IDEO U

1. Always say yes to an offer. Whether the other person offers you a glass of water, snacks, or even a tour of their home, you should always accept.

2. Wear generic clothing. Oftentimes, clothing can communicate social status, or reflect personal taste that others may disagree with.

3. Treat people like partners in research. The people you interview aren’t just research subjects or data points.

4. Leave comfortable silences. When it seems like the other person is done speaking … you should create some space by just nodding and writing things down —it gives the other person room to continue speaking beyond…

5. Take the spotlight off the other person. …we like to bring provocations into research sessions. …sketch out rough concepts to show the other person, and ask them for feedback.

6. Try very intentionally to fall in love with each person (even if it’s just a little bit). Even if you don’t naturally click with someone, you can always find something you truly appreciate about them, whether it’s their voice or their passion for the topic at hand.


miércoles, 28 de junio de 2017

Sobre la buena vida

Dos entradas para pensar… soy de los toca pelotas de "tenemos suerte".
O de los que dicen que la cosa va bien, que podría ir mejor… pero que podría ir peor y por tanto prefiero no quejarme.

Dos artículos que reflejan mi manera de pensar.


If you’re reading this, you probably don’t do hard work

It may be challenging work. It may be creative work. It may be skilled work. It may require multiple tries to get it right. You may have to learn new things. You may be rejected a bunch. You may get hung up on. You may not know how to get from A to B. You may have to persuade. You may have to deal with people you don’t like. You may have to sell something someone doesn’t know they want. You may have to be creative. You may have to build something that hasn’t been built before. You may have to battle entrenched interests. You may have to put in a few days or weeks in a row to figure something out you’re stuck on. You may have to make tradeoffs. But that’s the work. Not achieving the outcome you wanted doesn’t make it hard, it means you have more work to do.


Stop Pretending You’re Not Rich - NYTimes.com
The rhetoric of “We are the 99 percent” has in fact been dangerously self-serving, allowing people with healthy six-figure incomes to convince themselves that they are somehow in the same economic boat as ordinary Americans, and that it is just the so-called super rich who are to blame for inequality.
“Rather than a poverty trap, there seems instead to be more stickiness at the other end: a ‘wealth trap,’ if you will.”

lunes, 26 de junio de 2017

The Scale Fallacy

The Scale Fallacy (And How I Learned the Value of Success That Was Steady, Not Spectacular)


Services businesses don’t scale because they are based on manpower: to double your revenue, you need to double the hours worked. Unless there is unused capacity, that means doubling the size of your team. And that’s just to achieve 2x growth. But in the tech world, scaling often means aiming for 10x or even 100x growth because the marginal cost for making extra copies of a digital product is insignificant.
VCs are looking for many multiples of growth to make a return on the multiple businesses they’ll invest in that fail. They’re not interested in slow but steady growth; they want boom, and they’ll risk bust (for the individual startup) to get it. (That’s just another reason why investor interest is not a good guide of the potential of your startup.)
So VCs won’t be interested if your startup doesn’t scale, and neither will the media and neither will the public. This is because the American dream isn’t a fantasy of steady, incremental growth—it’s a dream of celebrity, stardom, and riches.
If you’re prepared to put the dream on hold and take a cold look at your prospects, you’ll realize that there are significant advantages to creating a services business—one that doesn’t scale.
You’ll see money on day one, instead of working towards a future payday – which may never come.
You’ll learn about the cutting edge of what customers are demanding (and developing).
And this combination of revenue to play with and a sense of what is in demand can provide the perfect ingredients with which to subsequently create a successful scalable product business.

Jonathan Siegel is the founder of RightCart, RightSignature, and RightScale, the chairman and founder of Xenon Ventures, and the author of The San Francisco Fallacy.

martes, 9 de mayo de 2017

Ooooh...that founder narrative

 by @asanwal in CB insights newsletter.



The idea that tech startup founders take a bunch of financial risk when starting up is on average pretty BS. It's generally manufactured cuz it's great for PR.

Let's understand the risk.  

  1. Most are highly employable if their startup doesn't work out
  2. The reality is that many are middle-class or better
  3. If they raise money, they're taking a salary (even if modest) as well
  4. Many have families/spouses who bring insurance, paychecks, financial support, etc
This is not roughing it despite the stories they tell when trying to get press for their startup.

I'm not saying it's easy, but this whole "we burned the ships. There was no turning back" narrative is kinda horse-isht.



If you dig into the background of founders who say this, more often than not, they've got a safety net.

Heck, a lot of them raise from friends & family so it's clear their families have some discretionary dinero lying around. (BTW, I'm not talking about the 0.1% of people whose parents take a 2nd mortgage out to pay for their kid's startup. That's just dumb.)


Again, I'm not saying the startup life is easy or some folks don't struggle significantly financially. I'm talking on average.

The problem with this "woe is me, I took all this risk" narrative besides it being false for the purposes of PR is it makes people think their success is due to them and doesn't give credit to luck or other advantages. It's tiresome and dangerous.

If you're truly living hand-to-mouth, a tech startup is prob the last thing you build. You'd want a cash flow generating business. Not on-demand laundry.


BTW, tech startups are socioeconomically, a middle, upper-middle, and upper-class game. This should not come as a surprise to anyone.




viernes, 10 de marzo de 2017

Electronic Frontier Foundation – Digital Privacy at the U.S. Border: Protecting the Data On Your Devices and In the Cloud

Digital Privacy at the U.S. Border: Protecting the Data On Your Devices and In the Cloud | Electronic Frontier Foundation

Contents