DeepMind AI Cracks Protein Folding

Incredible advancement in very important science…

“With its latest AI program, AlphaFold, the company and research laboratory showed it can predict how proteins fold into 3D shapes, a fiendishly complex process that is fundamental to understanding the biological machinery of life.

Independent scientists said the breakthrough would help researchers tease apart the mechanisms that drive some diseases and pave the way for designer medicines, more nutritious crops and “green enzymes” that can break down plastic pollution.”

apple.news/A2R762pmKQm-u_eRyAQnmZg

YouTube and “Reinforcing” Psychologies

“The new A.I., known as Reinforce, was a kind of long-term addiction machine. It was designed to maximize users’ engagement over time by predicting which recommendations would expand their tastes and get them to watch not just one more video but many more.

Reinforce was a huge success. In a talk at an A.I. conference in February, Minmin Chen, a Google Brain researcher, said it was YouTube’s most successful launch in two years. Sitewide views increased by nearly 1 percent, she said — a gain that, at YouTube’s scale, could amount to millions more hours of daily watch time and millions more dollars in advertising revenue per year. She added that the new algorithm was already starting to alter users’ behavior.

“We can really lead the users toward a different state, versus recommending content that is familiar,” Ms. Chen said.”

via “The Making of a YouTube Radical” by Kevin Roose in the New York Times

Tackling Tech Bias for People with Disabilities

Fantastic post… every organization, nonprofit, and church could gain valuable insight from the takeaways here:

The best path ahead is to seek out the affected stakeholders and work with them towards a fair and equitable system. If we can identify and remove bias against people with disabilities from our technologies, we will be taking an important step towards creating a society that respects and upholds the human rights of us all.

Via Venturebeat

Harrelson Agency and Google’s New Responsive Search Ads

At Harrelson Agency, we manage a number of Google Ads campaigns (formerly AdWords as of July 24, 2018) for clients. Simply put, there’s really no better way to drive web traffic to a site or a landing page regardless of your budget, size, or goal. Whether you’re selling stuff, raising awareness, or trying to get more people into the door of your business or church, there’s a clear return on investment for a well-run Google Ads campaign.

We’ve been writing, tweaking, and managing these ads for years. I often tell clients its part science and part art to make everything work correctly. That may change a little after today…

Consumers today are more curious, more demanding, and they expect to get things done faster because of mobile. As a result, they expect your ads to be helpful and personalized. Doing this isn’t easy, especially at scale. That’s why we’re introducing responsive search ads. Responsive search ads combine your creativity with the power of Google’s machine learning to help you deliver relevant, valuable ads.

Simply provide up to 15 headlines and 4 description lines, and Google will do the rest. By testing different combinations, Google learns which ad creative performs best for any search query. So people searching for the same thing might see different ads based on context.

Via Google Ads Blog

Google is rolling out its new “responsive search ads” from beta today, and it does have the potential to reshape a number of processes that marketers like us use for ad campaigns. I doubt that we’ll give up on the fun whiteboard sessions where we throw ideas into the open that produce the basis for most of our managed campaigns, and I’m sure I’ll still have those “shower moment” epiphanies where the perfect headline text pops into my mind as I’m applying shampoo, but I am excited about what this could mean for our clients.

There’s no doubt in my mind that a great deal of the processes we use to build websites or manage Ads campaigns on Google and Facebook or to create memorable billboard taglines or to even write strategic plan documents will be automated and “responsive” as Google says in the coming decade. That’s why I’m betting Harrelson Agency’s future on the future and making sure that I’m staying on top of everything AI and blockchain and machine learning and augmented reality that I can.

We’ve already seen the decimation of the website development industry at the hands of democratizing creative tools like Squarespace and Weebly and Wix (as much as I dislike their pedestrian designs…). We’ll continue to see the same in other areas of marketing and advertising.

It’s worth my time to think ahead both for my clients’ bottom lines as well as Harrelson Agency’s future.

Faster horses

I don’t know… this feels a little like Henry Ford’s “if I had asked what people wanted, they would have said a faster horse” approach to utilizing tech to save humans time…

Like Google, we envision a future that’s based on collaboration between humans and machines. Where we seem to differ is that we believe a human handoff is essential when initiating a conversation between an AI assistant and a human. This human acknowledgement of AI preserves the human to human relationships and makes resuming the non transactional parts of the conversation much more natural. With their policy reversal, it sounds like Google has realized that you need to at least let people know they’re interacting with AI.

Siri and Incarnation

The theological lens through which we might view these questions is incarnation. In an age of increased engagement with disembodied digital assistants, what might it mean for the church to counterweight this with insisting on and facilitating in-person fellowship? In an era of disembodied conversation, my prayer is that the church might be a contrast society to model a more excellent way of fully-embodied community and in-person presence.

Source: Thanks for your help, Siri. But what about that human connection? – Baptist News Global

I fundamentally disagree with John Chandler here regarding the notion that smart assistants (such as Siri or Alexa or Google Assistant or Cortana or Bixby or M or… well, there are many more) lead to more antisocial behavior or the dangers of people not interacting with other people.

Chandler also invokes the (in)famous Nicholas Carr article Is Google Making Us Stupid? from 2008. One of my favorite rebukes to that article comes from a review of Carr’s subsequent book on the topic, The Shallows: How the Internet is Changing the Way We Think, Read, and Remember:

Perhaps what he needs are better strategies of self-control. Has he considered disconnecting his modem and Fedexing it to himself overnight, as some digital addicts say they have done? After all, as Steven Pinker noted a few months ago in the New York Times, ‘distraction is not a new phenomenon.’ Pinker scorns the notion that digital technologies pose a hazard to our intelligence or wellbeing. Aren’t the sciences doing well in the digital age, he asks? Aren’t philosophy, history and cultural criticism flourishing too? There is a reason the new media have caught on, Pinker observes: ‘Knowledge is increasing exponentially; human brainpower and waking hours are not.’ Without the internet, how can we possibly keep up with humanity’s ballooning intellectual output?

Socrates feared the same fears of antisocial behavior and intellectual laziness that we project onto television, music, and now the internet in regards to books and admonished Plato to stop writing them.

Smart assistants such as Siri or Alexa do pose a whole new world of possibilities for developers and companies and groups to interact with the connected world. In just a few short years, many of us (our household included) now use these assistants to do everything from schedule events on our cloud-based calendars to turn the lights off before bed. I also stream music, play audio books, ask questions, and crack riddles with Alexa, Siri, and Google Assistant on a daily basis.

While we fear the inevitability of a bleak future as depicted in the movie Her from 2013 in which human beings are completely subsumed into relationships and reality driven by their own personal digital assistants and rarely interact with others, I don’t think that’s the reality we’ll see. There’s a simple reason for that… antisocial behavior is a part of our own internal psychologies and neuropathies. Projecting these fears onto tools such as Siri is misplaced. I’d argue that positioning the church to be anti-tool to encourage incarnational relationships is misplaced as well.

This isn’t the same as arguing that “Guns don’t kill people; People kill people” although that’s an easy leap to make. But no, what I’m arguing here has to do with coming to terms with the ongoing revelation we are making and receiving about the very nature of human thought and how our brain and nervous systems work in tandem with our concept of consciousness. Understanding that newspapers, books, radio, TV, internet, and now Siri don’t make us any more or less lazy or antisocial is an important step in understanding that the core issue of incarnation relies on relationality between humans and the universe.

I do agree with Chandler that the church should be anti-cultural in the sense that it provides a way for exploration into the concept of incarnation. But positing that experience as anti-tool or anti-specific-technology seems to undercut the very notion of the incarnation’s theological and ongoing event in history (call that the kerygma or the Christ event or God Consciousness etc).

Yes, technology can be addictive or exacerbate issues. But let’s address the fundamental issues of culture and personal psychologies that the church is led to do with a healthy and holy notion of inter-personal and inner-personal relationships.

Artificial Intelligence Opens the Vatican Secret Archives

Like all artificial intelligence, the software will improve over time, as it digests more text. Even more exciting, the general strategy of In Codice Ratio—jigsaw segmentation, plus crowdsourced training of the software—could easily be adapted to read texts in other languages. This could potentially do for handwritten documents what Google Books did for printed matter: open up letters, journals, diaries, and other papers to researchers around the world, making it far easier to both read these documents and search for relevant material.

— Read on www.theatlantic.com/technology/archive/2018/04/vatican-secret-archives-artificial-intelligence/559205/

One Step Closer to Quantum Computing

20 qubits have been entangled together and put into one network. Huge… computing is about to get “spooky” as Einstein would have said.

In high school physics, electrons bounce between two layers, like a car changing lanes. But in reality, electrons don’t exist in one place or one layer — they exist in many at the same time, a phenomenon known as quantum superposition. This odd quantum behavior offers a chance for devising a new computer language — one that uses infinite possibilities. Whereas classic computing uses bits, these calcium ions in superposition become quantum bits, or qubits. While past work had created such qubits before, the trick to making a computer is to get these qubits to talk to one another.

Via Space.com

Computational Explosion

Sergey Brin, President of Alphabet (Google’s parent company), on the computational explosion over the last few years and near-future possibilities of quantum computing in the annual Founders Letter:

The power and potential of computation to tackle important problems has never been greater. In the last few years, the cost of computation has continued to plummet. The Pentium IIs we used in the first year of Google performed about 100 million floating point operations per second. The GPUs we use today perform about 20 trillion such operations — a factor of about 200,000 difference — and our very own TPUs are now capable of 180 trillion (180,000,000,000,000) floating point operations per second.

Even these startling gains may look small if the promise of quantum computing comes to fruition. For a specialized class of problems, quantum computers can solve them exponentially faster. For instance, if we are successful with our 72 qubit prototype, it would take millions of conventional computers to be able to emulate it. A 333 qubit error-corrected quantum computer would live up to our name, offering a 10,000,000,000,000,000, 000,000,000,000,000,000,000,000,000,000, 000,000,000,000,000,000,000,000,000,000, 000,000,000,000,000,000,000,000x speedup.

TPUs refers to Google’s “Tensor Processing Units” as discussed here last year.

The common notion that computers, phones, tablets etc have peaked and now we have tech that is “good enough” and has reached a nice plateau is a false lull in the upward trajectory of computing power. We’ll see tech innovations that “trickle down” to the general global population in the next decade that will cause disruption and rapid change in all parts of our lives from medicine to education to finance to government to interacting with our daily environments (and other people there).