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Category: robotics/AI

Imagine the perfect personal assistant.

This partner would understand your needs — often before you’ve even expressed them — and know exactly how to deliver what you’re asking for. They would make helpful suggestions without becoming intrusive, and keep you from missing appointments and opportunities. Most importantly, this personal assistant would be someone you can trust implicitly.

Now, how do you embody those traits in an artificial intelligence-powered service? Our experience creating our travel assistant app, Mezi, illustrates key principles of AI regarding the ongoing role of human involvement and how to draw the dividing line between valued assistance and unwelcome intrusion. Here’s what we’ve learned recently.

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See also: Elon Musk Says Robots Will Help Tesla Catch Up to Apple in Value

So why won’t other auto manufacturers follow suit and overtake Tesla? First, their products, as well as their factories, are bogged down by legacy. Tesla’s electric cars are significantly easier to manufacture than internal combustion (IC) vehicles. Tesla’s Model S has fewer than 20 moving parts, compared with almost 1,500 moving parts in an IC-engine car. This means that there are fewer steps in the assembly process, fewer suppliers to deal with, and lower inventory of components and parts. Further, Tesla doesn’t have to deal with a unionized workforce, a complex supply chain, or a legacy dealer network. Free from this legacy, Tesla can embrace disruptive innovation without worrying about the backlash from workers, suppliers, and dealers.

To become as big as Apple one day, Tesla will need more than the “Henry Ford” approach to manufacturing. It will also need the “Steve Jobs” approach to marketing by creating a vast global appetite for its products. The Apple iPhone is a global product that can be sold from New York to Mumbai to Beijing with very little incremental investment. However, Tesla’s cars require the creation of infrastructure for charging and a distribution network from scratch—a very expensive and time-consuming process. Tesla will need to build out its charging network and distribution reach, country by country. China is an important overseas market for Tesla, as is Scandinavia; it also has a rollout plan for India with its Model 3.

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I’m speaking at Moogfest at 4:30PM a week from today. Can’t Wait! KurzweilAI doing a write-up on the festival below (including a bit on my talk):

The Moogfest four-day festival in Durham, North Carolina next weekend (May 18 — 21) explores the future of technology, art, and music. Here are some of the sessions that may be especially interesting to KurzweilAI readers. Full #Moogfest2017 Program Lineup.

(credit: Google)

The Magenta by Google Brain team will bring its work to life through an interactive demo plus workshops on the creation of art and music through artificial intelligence.

Magenta is a Google Brain project to ask and answer the questions, “Can we use machine learning to create compelling art and music? If so, how? If not, why not?” It’s first a research project to advance the state-of-the art and creativity in music, video, image and text generation and secondly, Magenta is building a community of artists, coders, and machine learning researchers.

The interactive demo will go through a improvisation along with the machine learning models, much like the Al Jam Session. The workshop will cover how to use the open source library to build and train models and interact with them via MIDI.

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Amanda Feilding, a well-known researcher from the Beckley Foundation in Oxford, has long been an advocate for LSD microdosing.

Before it was made illegal in 1968, Ms Feilding would take LSD to boost her creativity, and even found that her performace in the ancient Chinese game of Go, improved.

Speaking to Motherboard, Ms Feilding said: ‘I found that if I was on LSD and my opponent wasn’t, I won more games.

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Neurala today announced a major advance in deep learning with software that can learn with or without the cloud and eliminates the risk of forgetting its previous knowledge…

Lifelong-DNN™ (Lifelong-Deep Neural Networks), Neurala’s Patent-Pending Software, Overcomes Catastrophic Forgetting—the #1 Problem Limiting the Growth of Deep Learning Neural Networks for Real-Time Use

SAN JOSE, CA —May 8, 2017— Neurala today announced a major advance in deep learning with software that can learn with or without the cloud and eliminates the risk of forgetting its previous knowledge. The new patent-pending approach means that for the first time a self-driving car can be personalized by each owner or dealer to a specific neighborhood; a parent can teach a toy to recognize a child, without infringing on privacy; and industrial machines can be updated in the field for specific tasks.

Until now, if an AI system had learned a certain number of objects and needed to learn one more, it would have to be retrained on all of the objects. This traditional method requires using powerful servers that are often located in the cloud. Neurala Lifelong Deep Neural Networks (L-DNN) enable learning of the incremental object on the edge.

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A new story out on #transhumanism:

In the Basic Income America Facebook group, Zoltan Istvan, a transhumanist who recently ran for president, shared his Wired article, Capitalism 2.0: the economy of the future will be powered by neural lace. He (along with many others) argues Wall Street, law offices, engineering firms, and more will soon be mostly void of humans.

I think I mostly agree with him. Algorithms will far surpass human ability to achieve the best possible outcomes (Nash equilibrium). Having read Super Intelligence, the Master Algorithm, The Age of Em, books on evolution, lectures, interviews, etc… I think we’re approaching an important moment in human history where we have to figure out morality so we can build it into the proto-AI children we are giving birth to. I’ve even toyed around with a fun idea related to the simulation hypothesis. Maybe we exist as a simulation, repeating the birth of AI over and over again until we figure out a way to do it without destroying ourselves or turning the universe into computonium.

I’ve argued the world may need a Universal Basic Income and Steem Power might power it. I’ve also discussed the morality of artificial intelligence. I’m a big fan of Ray Kurzweil and love hearing him lecture about the future longevity we might enjoy, but I also recognize how fragile biological life is compared to exponentially growing super intelligence. I’ve heard the concerns by Elon Musk, Stephen Hawking, and others, and to me, they are convincing.

So where does this leave us? What do you think of Zoltan’s article? Are we approaching the “If you can’t beat them, join them” moment in our evolution as a species? Will we one day all become transhumanists?

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IN AN effort to mine precious metals potentially worth trillions of dollars and aid interstellar travel, China has unveiled plans to build a base on an asteroid, likely to happen “in the near future”.

Ye Peijian, the chief commander and designer of the Chinese Lunar Exploration Program, revealed details that could potentially put an unmanned craft on an asteroid and mine the rock for metals like palladium, platinum and others that are used in items such as smartphones and cars.

“In the near future, we will study ways to send robots or astronauts to mine suitable asteroids and transport the resources back to Earth,” Peijian said in comments reported by China Daily.

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