AI is turning us into de facto cyborgs

“Indeed, AI is showing up just about everywhere. In recent weeks, there have been stories of how AI is used to monitor the emotional state of cows and pigs, dodge space junk in orbit, teach American Sign Language, speed up assembly lines, win elite crossword puzzle tournaments, assist fry cooks with hamburgers, and enable “hyperautomation.” Soon there will be little left for humans to do beyond writing long-form journalism — until that, too, is replaced by AI. The text generation engine GPT-3 from OpenAI is potentially revolutionary in this regard, leading a New Yorker essay to claim: “Whatever field you are in, if it uses language, it is about to be transformed.””

AI is turning us into de facto cyborgs
https://venturebeat.com/2021/05/08/ai-is-turning-us-into-de-facto-cyborgs/
via Instapaper

How to Buy Happiness

“As economists have repeatedly shown, well-being rises with income at low socioeconomic levels because it alleviates the problems of poverty. People can erase calorie deficits, educate their kids, and go to the doctor—in other words, they can lower their unhappiness. Even if you live above the poverty line in a rich country, you might have experienced this sort of transition in early adulthood. When I could finally afford to see a dentist at age 25 after ignoring my cavities for six years, it was a huge relief. (My lack of dental care might also have been partly due to misplaced spending priorities, however—I don’t recall ever being without cigarettes during those lean years.)”

How to Buy Happiness
https://www.theatlantic.com/family/archive/2021/04/money-income-buy-happiness/618601/
via Instapaper

Algoritmos não podem aprender sentimentos, diz futurólogo Gerd Leonhard | Suplementos | Valor Econômico


Valor: A inteligência artificial faz frente à inteligência humana?

Gerd Leonhard: As máquinas, essencialmente, usam zeros e uns, encontrando padrões e respondendo a eles. Isso é chamado de “machine learning” ou “deep learning”. Os humanos, na verdade, não aprendem a partir de padrões, porque são inteligentes de dez diferentes formas. Há questões como felicidade e consciência que são difíceis de ser definidas. Quando se fala de inteligência humana, muitas vezes nos referimos a um só tipo de inteligência, mas há a inteligência criativa, musical e cinestésica, entre outras. As máquinas só têm uma inteligência, que é a computação, o processamento. Um computador pode ler todos os livros de filosofia em todos os idiomas em poucos minutos, mas isso não fará dele um filósofo. Os computadores têm os dados e nada mais.

Why You Should Never Use Google Chrome On Your iPhone, iPad Or Mac

“Apple is on the right side of this battle—it has no direct interest in fueling the ad industry, albeit it’s clearly not immune from data collection and advertising itself. But Apple has adopted privacy as a USP, and has gone toe to toe with Facebook and the ad industry with the crackdown on browser and app trackers and those privacy labels.”

Why You Should Never Use Google Chrome On Your iPhone, iPad Or Mac
https://www.forbes.com/sites/zakdoffman/2021/04/10/why-you-should-never-use-google-chrome-on-your-apple-iphone-ipad-imac-or-macbook/
via Instapaper

How New Leadership Succeeds In The Digital Age

“As management guru Bill Fischer said recently, “You've got to truly believe deep down that your workers can change, that they're good people when they come to work with good intentions, and that if you leave them alone or provide support or enable them, they'll be able to do more than you'd ever thought. It goes back to an admirable reaffirmation of the belief that the people that we work with are capable of doing much better things than the organization has allowed them to do. And so, it’s about giving up control. It's not abdicating responsibility, but it's setting a direction and stepping out of the way.””

How New Leadership Succeeds In The Digital Age
https://www.forbes.com/sites/stevedenning/2021/03/14/how-new-leadership-succeeds-in-the-digital-age/
via Instapaper

The year of divergence: Wall Street vs Main Street

“This helped exacerbate another divergence: between exuberant Wall Street, where stock indices rebounded from a crash in March to an all-time high, and Main Street, filled with rows of boarded-up businesses. The tech-fuelled stockmarket rally pushed Apple’s market capitalisation above $2trn and allowed Tesla’s market value to overtake one giant carmaking rival after another, ultimately leaving all of them in the dust.”

The year of divergence
https://www.economist.com/business/2020/12/29/the-year-of-divergence
via Instapaper

The Uncanny Valley Vertigo

“We experience vertigo in the uncanny valley because we’ve spent hundreds of thousands of years fine-tuning our nervous systems to read and respond to the subtlest cues in real faces. We perceive when someone’s eyes squint into a smile, or how their face flushes from the cheeks to the forehead, and we also — at least subconsciously — perceive the absence of these organic barometers. Simulations make us feel like we’re engaged with the nonliving, and that’s creepy.”

Some details on 'androrithms'

From my book www.techvshuman.com 

Algorithms vs. Androrithms

I think that being human is largely about those things that we cannot—for the foreseeable future—compute, measure, algorithmically define, simulate, or completely understand. What makes us human, in my view, is not mathematical or even just chemical or biological. It involves those things that are largely unnoticed, unsaid, subconscious, ephemeral, and unobjectifiable. These are the human essences that I like to call androrithms that we absolutely must keep even if they appear to be clumsy, complicated, slow, risky, or inefficient compared to nonbiological systems, computers, and robots.

We should not attempt to mend or upgrade, or otherwise eradicate what makes us human; rather, we should design technology to know and respect these differences—and protect them. Unfortunately, the slow but systematic reduction or even discarding of androrithms has already started all around us. For example, social networks allow us to create our own profiles as we see fit, and revel in our fabricated identities, rather than wrestle with the one we actually have in real life, aka in our meatspace.

The brilliant—if somewhat politically derailed —German philosopher Martin Heidegger stated in his book Sein und Zeit (Being and Time) that “a human being is the only entity which in its existence has this very Being as an issue.” The German word dasein (being there) really describes it best.

Dasein speaks to the core of the difference between (wo)man and machine and is an important theme throughout this book: It is the sentient being that is at the core of our human desires—the mind, the spirit, or the soul, that elusive part of us that we cannot seem to define or even locate, but that nevertheless runs our lives.