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One week after Elon Musk unveiled the Tesla Model 3, the company’s first mass-market car, hundreds of thousands of people have paid $1,000 to reserve the car despite its expected late-2017 launch.

That reservation figure totals to $14 billion (theoretical dollars) in sales, or 325,000 cars, with one big caveat: With only $1,000 down, some — perhaps many — of these orders will inevitably be adjusted or canceled over the next few years. In any event, that’s $325 million paid in preorders to date for a car that basically doesn’t exist yet.

Over 325k cars or ~$14B in preorders in first week. Only 5% ordered max of two, suggesting low levels of speculation.

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Three years have passed since the publication of the volume of essays “The Singularity Hypotheses” — a publication that was marked at the time by a London Futurists discussion event. During these three years, public awareness of the concepts of an intelligence explosion has grown sharply — fuelled, in part, by statements from luminaries such as Stephen Hawking and Elon Musk.

In this event, Amnon Eden, lead editor of Singularity Hypotheses, returns to London Futurists to provide an update on the controversies about the Singularity. Topics to be covered will include:

• Luddites, Philistines, and Starry-Eyed: The War over Killer Robots.
• AI (Artificial Intelligence) vs. IA (Intelligence Augmentation)
• “Technological Singularity”: A Definition, Sufficient and Necessary Conditions.
• Perennial Fallacies, Debunked and Re-debunked.
• Learning from the media storm.

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SpaceX started with a plan to send mice to Mars. It got crazier from there.

In late October 2001, Elon Musk went to Moscow to buy an intercontinental ballistic missile. He brought along Jim Cantrell, a kind of international aerospace supplies fixer, and Adeo Ressi, his best friend from Penn. Although Musk had tens of millions in the bank, he was trying to get a rocket on the cheap. They flew coach, and they were planning to buy a refurbished missile, not a new one. Musk figured it would be a good vehicle for sending a plant or some mice to Mars.

Ressi, a gangly eccentric, had been thinking a lot about whether his best friend had started to lose his mind, and he’d been doing his best to discourage the project. He peppered Musk with links to video montages of Russian, European, and American rockets exploding. He staged interventions, bringing Musk’s friends together to talk him out of wasting his money. None of it worked. Musk remained committed to funding a grand, inspirational spectacle in space and would spend all of his fortune to do it. And so Ressi went to Russia to contain Musk as best as he could. “Adeo would call me to the side and say, ‘What Elon is doing is insane. A philanthropic gesture? That’s crazy,’” said Cantrell. “He was seriously worried.”

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Three days ago, when Global Equities Research projected more than 300,000 reservations for the Tesla Model 3 electric car by the start of this week, that number seemed outlandish.

And yet, by the end of Saturday, the global total had reached 276,000, according to a tweet by Tesla CEO Elon Musk.

When the Model 3 was first unveiled in California on Thursday evening, the number of deposits that day alone had already crossed 100,000.

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After ten years of waiting, Tesla has revealed the Model 3, the vehicle that CEO Elon Musk hopes will take the electric car to the masses.

At the unveiling of the Model 3 this evening at the company’s design studio in Hawthorne, California, Tesla CEO Elon Musk said the car will deliver at least 215 miles of range beginning at just $35,000 — that’s a bold claim, and an important one for Tesla to meet. Musk is “fairly confident” that deliveries will begin by the end of 2017, and “you will not be able to buy a better car for $35,000, even with no options.”

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“He is not here; He has risen,” — Matthew 28:6

As billions of Christians around the world are getting ready to celebrate the Easter festival and holiday, we take pause to appreciate the awe inspiring phenomena of resurrection.

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In religious and mythological contexts, in both Western and Eastern societies, well known and less common names appear, such as Attis, Dionysus, Ganesha, Krishna, Lemminkainen, Odin, Osiris, Persephone, Quetzalcoatl, and Tammuz, all of whom were reborn again in the spark of the divine.

In the natural world, other names emerge, which are more ancient and less familiar, but equally fascinating, such as Deinococcus radiodurans, Turritopsis nutricula, and Milnesium tardigradum, all of whose abilities to rise from the ashes of death, or turn back time to start life again, are only beginning to be fully appreciated by the scientific world.

deinoccous

In the current era, from an information technology centric angle, proponents of a technological singularity and transhumanism, are placing bets on artificial intelligence, virtual reality, wearable devices, and other non-biological methods to create a future connecting humans to the digital world.

This Silicon Valley, “electronic resurrection” model has caused extensive deliberation, and various factions to form, from those minds that feel we should slow down and understand the deeper implications of a post-biologic state (Elon Musk, Steven Hawking, Bill Gates, the Vatican), to those that are steaming full speed ahead (Ray Kurzweil / Google) betting that humans will shortly be able to “transcend the limitations of biology”.

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However, deferring an in-depth Skynet / Matrix discussion for now, is this debate clouding other possibilities that we have forgotten about, or may not have even yet fully considered?

Today, we find ourselves at an interesting point in history where the disciplines of regenerative sciences, evolutionary medicine, and complex systems biology, are converging to give us an understanding of the cycle of life and death, orders of magnitude more complex than only a few years ago.

In addition to the aforementioned species that are capable of biologic reanimation and turning back time, we show no less respect for those who possess other superhuman capabilities, such as magnetoreception, electrosensing, infrared imaging, and ultrasound detection, all of which nature has been optimizing over hundreds of millions of years, and which provide important clues to the untapped possibilities that currently exist in direct biological interfaces with the physical fabric of the universe.

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The biologic information processing occurring in related aneural organisms and multicellular colony aggregators, is no less fascinating, and potentially challenges the notion of the brain as the sole repository of long-term encoded information.

Additionally, studies on memory following the destruction all, or significant parts of the brain, in regenerative organisms such as planarians, amphibians, metamorphic insects, and small hibernating mammals, have wide ranging implications for our understanding of consciousness, as well as to the centuries long debate between the materialists and dualists, as to whether we should focus our attention “in here”, or “out there”.

I am not opposed to studying either path, but I feel that we have the potential to learn a lot more about the topic of “out there” in the very near future.

coolbrain

The study of brain death in human beings, and the application of novel tools for neuro-regeneration and neuro-reanimation, for the first time offer us amazing opportunities to start from a clean slate, and answer questions that have long remained unanswered, as well as uncover a knowledge set previously thought unreachable.

Aside from a myriad of applications towards the range of degenerative CNS indications, as well as disorders of consciousness, such work will allow us to open a new chapter related to many other esoteric topics that have baffled the scientific community for years, and fallen into the realm of obscure curiosities.

connection

From the well documented phenomena of terminal lucidity in end stage Alzheimer’s patients, to the mysteries of induced savant syndrome, to more arcane topics, such as the thousands of cases of children who claim to remember previous lives, by studying death, and subsequently the “biotechnological resurrection” of life, we can for the first time peak through the window, and offer a whole new knowledge base related to our place, and our interaction, with the very structure of reality.

We are entering a very exciting era of discovery and exploration.

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About the author

Ira S. Pastor is the Chief Executive Officer of Bioquark Inc. (www.bioquark.com), an innovative life sciences company focusing on developing novel biologic solutions for human regeneration, repair, and rejuvenation. He is also on the board of the Reanima Project (www.reanima.tech)

Or not.


It was hailed as the most significant test of machine intelligence since Deep Blue defeated Garry Kasparov in chess nearly 20 years ago. Google’s AlphaGo has won two of the first three games against grandmaster Lee Sedol in a Go tournament, showing the dramatic extent to which AI has improved over the years. That fateful day when machines finally become smarter than humans has never appeared closer—yet we seem no closer in grasping the implications of this epochal event.

Indeed, we’re clinging to some serious—and even dangerous—misconceptions about artificial intelligence. Late last year, SpaceX co-founder Elon Musk warned that AI could take over the world, sparking a flurry of commentary both in condemnation and support. For such a monumental future event, there’s a startling amount of disagreement about whether or not it’ll even happen, or what form it will take. This is particularly troubling when we consider the tremendous benefits to be had from AI, and the possible risks. Unlike any other human invention, AI has the potential to reshape humanity, but it could also destroy us.

It’s hard to know what to believe. But thanks to the pioneering work of computational scientists, neuroscientists, and AI theorists, a clearer picture is starting to emerge. Here are the most common misconceptions and myths about AI.

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Google, AI, and Quantum — Google believes deep learning is not suitable on Quantum. Not so sure that I agree with this position because deep learning in principle is “a series of complex algorithms that attempt to model high-level abstractions in data by using multiple processing layers with complex structures” — the beauty around quantum is it’s performance in processing of vast sets of information and complex algorithms. Maybe they meant to say at this point they have not resolved that piece for AI.


Artificial intelligence is one of the hottest subjects these days, and recent advances in technology make AI even closer to reality than most of us can imagine.

The subject really got traction when Stephen Hawking, Elon Musk and more than 1,000 AI and robotics researchers signed an open letter issuing a warning regarding the use of AI in weapons development last year. The following month, BAE Systems unveiled Taranis, the most advanced autonomous UAV ever created; there are currently 40 countries working on the deployment of AI in weapons development.

Those in the defense industry are not the only ones engaging in an arms race to create advanced AI. Tech giants Facebook, Google, Microsoft and IBM are all engaging in various AI-initiatives, as well as competing on developing digital personal assistants like Facebook’s M, Cortana from Microsoft and Apple’ Siri.

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