https://singularityhub.com/2017/05/30/7-big-tech-trends-that-are-changing-the-way-we-make-things/
Moore’s law and its children… great read.
How AI Can Keep Accelerating After Moore’s Law – MIT Technology Review https://apple.news/A4Rxkgl8lN-WmsspWrttgtQ
The sudden thirst for new power to drive AI comes at a time when the computing industry is adjusting to the loss of two things it has relied on for 50 years to keep chips getting more powerful. One is Moore’s Law, which forecast that the number of transistors that could be fitted into a given area of a chip would double every two years. The other is a phenomenon called Dennard scaling, which describes how the amount of power that transistors use scales down as they shrink.
In the longer term, more radical changes in how computer chips work will be required to keep AI getting more powerful. Creating chips that don’t add accurately is one option. Prototypes have shown that they can make computers more efficient without undermining the accuracy of results from machine-learning software (see “Why a Chip That’s Bad at Math Could Help Computers Tackle Harder Problems”).
Chip designs that directly copy from biology could also be crucial. IBM and others have built prototype chips that compute using spikes of current, similar to how our neurons fire (see “Thinking in Silicon”). Even simple animals, Burger points out, use little energy to do things beyond what today’s robots and software can accomplish—evidence that computers have much further to go.
“Look at the computation a cockroach does,” he says. “There are existence proofs that show many more orders of magnitude of performance and efficiency are available. We can have decades of scaling left in AI.”
Position update
System back to full sail (max risk) as of Friday. But nq is so over bought short term I’m fully expecting some drawdown. So I’ve added max static hedging. So currently that means I’m long a zn contract for every nq contract. That may(should) buffer short term drawdown… but trading is humbling and I’ve had a very good run. Whenever one has enjoyed fortune one should prepare for sorrows. Regression applies to all mortals.
Miracle material…
“It’s unbelievable. A miracle material,” says Z. Valy Vardeny, distinguished professor in the Department of Physics & Astronomy and co-author of the study, whose lab studies perovskite solar cells. “In just a few years, solar cells based on this material are at 22 percent efficiency. And now it has this spin lifetime property. It’s fantastic.”
Read more at: https://phys.org/news/2017-05-electronics-miracle-material-field-spintronics.html#jCp
Battery tech
However, well over a dozen potential battery technologies are vying for the title of the Next Big Thing. Some of these technologies, such as the urine battery and the portabella mushroom battery, aren’t reaching for the mass market. But the one (or more) have the potential to be used by those who need to spark up their cell phone, laptop computer, or electric car—in short, almost everyone.
Suffice to say, whoever captures even a sliver of this market will be printing money. Real money, like pounds before Brexit, instead of watered-down money, like pounds after Brexit.
Want to see what’s coming? These potential energy solutions aren’t ready for production systems yet, but they show lots of promise.
https://insights.hpe.com/articles/three-batteries-that-could-power-our-future-1705.html
Should we fear AI?
Great read!
https://www.vox.com/conversations/2017/3/8/14712286/artificial-intelligence-science-technology-robots-singularity-automation
AI has the special property that it’s easy to imagine scary science fiction scenarios in which artificial minds grab control of all the machines on Earth, and enslave its pitiful human population. That’s not very likely, but there is a real concern that AI’s will gain the ability to perform certain tasks without we humans having any real idea how they are doing them. … That raises the prospect of unintended consequences in a serious way.
It is absolutely right to think very carefully and thoroughly about what those consequences might be, and how we might guard against them, without preventing real progress on improved artificial intelligence. — Sean Carroll, cosmology and physics professor, the California Institute of Technology
AI will likely get rid of a lot of jobs
I am worried about the impact on employment as more and more niches are filled by technology. (I don’t see AI as fundamentally different from so many other technologies — the borders are arbitrary.) Will we be able to adapt by inventing new jobs, particularly in the service sector and in the human face of bureaucracy? Or will we have to pay people to not work? — Julian Togelius, computer science professor, New York University
AI is not going to kill us or enslave us. It will eliminate some jobs rather more rapidly than we know how to deal with. Some of the pinch will be coming to white-collar workers too. Eventually we’ll adjust, but the transitions resulting from major technological changes are typically not as easy as we would like. — Tyler Cowen, economics professor, George Mason University
How to get ready for AI
There are issues society needs to prepare for. One key issue is how to prepare for significantly reduced employment due to future AI technology being able to handle much of routine work. In addition, instead of concerns about AI being “too smart” for us, the initial rollout of AI technologies more likely poses a concern in terms of not being as smart as people think such technology will be.
Early autonomous AI systems will likely make mistakes that most humans would not make. It’s therefore important for society to be educated about the limits and implicit hidden biases of AI and machine learning methods. — Bart Selman, computer science professor, Cornell University
Humanized monoclonal antibodies…
Robotics and developing countries job loss
http://leadership.ng/2017/05/28/nigeria-nations-lose-50-jobs-automation/
There is a lot of work being done on this right now. Undoubtedly our economic future will be changed by robotics and AI. Jobs will be lost and created. My question is this: The google AI that recently won the Go tournament, while an apparent genius at the ancient game, did it know it was playing a game called Go?
Sentience is what it does not have. A chainsaw is much better at cutting things than a human –but does the chainsaw know it is cutting anything? It is my contention that until AI are sentient they will create more jobs than they destroy.
Big read. Huge implications.
This is fantastic work. It is worth reading because it’s wrestling with issues that most of the economics profession is too vain/conservative to acknowledge. I fear the author makes $100 worth of arguments out of $80 worth of theory and $50 worth of data. But we know that technology is deflationary, we just do not know to what extent.
http://atom.singularity2050.com/
The accelerating pace and diffusion of technological change has taken control of an ever-growing fraction of the world economy. This fraction is being assimilated into a different set of economic fundamentals, such as the rapid and exponential price deflation inherent to technology. The effect of this was insignificant until recently, but is now beginning to create conspicuous distortions in many economic metrics, and is just years from being the dominant force across the entire economy.
In response to technological deflation, the central banks of the world will have to create new money in perpetuity, increasing the stream at an exponentially rising rate much higher than is currently assumed. This now-permanent need for monetary expansion, if embraced, can fund government spending more directly. This in turn creates a very robust, dynamic, and efficient safety net for citizens, while simultaneously reducing and even eliminating most forms of taxation by 2025.
Failure to recognize that technological deflation mandates permanent and ever-rising central bank monetary expansion that can and should gradually become the primary source of government spending will precipitate a major financial crisis starting as soon as 2017.
The nature of current worldwide technology is to link various disruptions with each other, consume monetary liquidity to generate deflation, and lower the effective prices of most goods and services over time. Therefore, the entirety of worldwide technology has to be seen as a holistic economic entity, and can be defined as the ‘Accelerating TechnOnomic Medium’, or ‘ATOM’.
13. Conclusion
We can easily forgive a child who is afraid of the dark; the real tragedy of life is when men are afraid of the light.
– Plato
When a wise man points to the stars, an imbecile criticizes the finger.
– Confucius (modified)
This book is the culmination of years of observations in combination with some proprietary research across different fields. The process of shaping these ideas involved deep immersion on both ends of the political spectrum, as well as in many alternative ideologies across fragmented parts of the Internet. I have had to adopt various online personas and wade through swamps of fanatics and mentally ill people, pretending for years to have views that I actually do not hold in real life, to find the occasional genius who delivers one profound sentence after another. Then the same had to be done in the opposing ideological camp. The process of creating transformative new knowledge is a messy one, full of many dead ends, distractions, and dances with lunatics. From this process, I hope this research has given rise to material that starts a trickle that grows into a stream, and later into a mighty river.
Summary–
The accelerating rate of technological change, while previously a topic of interest only to futurists and related technophiles, is now at a stage where insufficient awareness has tangible costs to individuals.
Economic growth, which has always been closely pegged to technological progress, has similarly been accelerating through centuries of data, and we are now entering a steep trajectory for the trendline, indeed the ‘knee of the curve’.
The world economy has been underperforming for years, with growth rates continuing to register well below the aforementioned trendline rates. This is due to the silent suppressive effect of some outdated policies and macroeconomic assumptions.
Technological deflation, while easily accepted when one is a shopper for a new computer, is almost entirely ignored by macroeconomists, even as effects of this deflation on economic data are pervasive and rising.
Technological disruptions across disparate areas are all interconnected with each other, and mutually reinforcing. There is a fixed but rising amount of aggregate disruption that is underway at any given time, in accordance with the accelerating rate of technological change. These first five bullet points effectively describe what we define as the ‘ATOM’.
Monetary expansion by central banks has served to merely offset the accelerating deflation that technology is generating across the economy. This deflation is international in nature, and so is most monetary expansion, no matter which country originates a particular expansion program.
Artificial Intelligence (AI) will be able to move many types of productive output into tax-free locations, eroding the tax base of high-tax locations. The borderless and untaxable nature of AI will effectively tighten the screws on nations and jurisdictions that tax productive output excessively.
Excessive fear of inflation, and assuming that even 3% inflation is high, has led to a chronic decline in Nominal GDP. This is a source of many types of malaise in the economies of wealthy countries that ‘Real’ GDP will not detect, and is constricting the rate of technological progress and productivity gains.
The ATOM will react to ensure technological progress reverts to the trendline rate, bypassing or toppling obstacles such as inadequate fiscal, monetary, and regulatory policies in the process. This will begin to happen in around 2017 or so, and may be at a speed far too rapid for many governments to react to.
Barring the pre-emptive adoption of the technology-friendly monetary policies recommended here, another major financial crisis and deep recession will commence by around 2017. Existing methods of monetary expansion will prove ineffective, causing great fear and doom-centric commentary. In reality, the solution to the problem is elegant, simple, and ushers in a new era of rapid growth.
Central bank monetary expansion has to be made permanent as a policy, and openly declared as such. There can no longer be one-off programs tied to an assumption that each one is the final round of Quantitative Easing. Assets stored on central bank balance sheets can never be sold back into the market, so the balance sheets themselves are moot.
Monetary expansion has to be of a direct, diffuse nature. Current methods of bond-buying used by the US Federal Reserve are well into the point of diminishing returns, and end up concentrating the QE in very few hands. The only real discussion and analysis should be about the rate of annual increases. The US Federal Reserve has not yet been granted this power by the US Congress, which restricts the Fed’s ability to do what is necessary.
Monetary expansion has to rise at a compounded rate of 16-24% a year, possibly higher, to offset technological deflation and keep the Wu-Xia Shadow Rate in step with the size of the deflationary force. Current patterns of monetary expansion and the absence of inflation already supply the data to support this conclusion.
Since most government spending in the US and similarly advanced nations constitutes direct payments to individuals, these payments should be formalized into a Direct Universal Exponential Stipend (DUES) that is paid equally to all citizens, and is funded by this central bank monetary expansion.
This DUES constitutes a dynamic and rapidly strengthening safety net, as well as a catalyst for entrepreneurship. Unlike negative interest rates, this does not punish savers, and is more scalable in accordance with accelerating technological deflation.
Federal income taxes can be phased out gradually and systematically, with all Federal government spending covered by monetary expansion, which itself is mostly the DUES.
This sort of reform taking current levels of technological progress and the associated deflation into account to create tax, monetary, and regulatory policies far more favorable to entrepreneurship transcends both socialism and capitalism. It is also the only way to harness disruptive technologies, such as AI, into a vehicle of broadly increased human prosperity.
The US is not going to be the first nation to transition to such a new policy era, and certainly not before the next crisis. Hong Kong, Singapore, Canada, and Switzerland are more suitable candidates to be the first countries to reform in favor of 21st century economic forces.
Few individuals, even if they work in the technology industry, have trained themselves to think like an active part of the ATOM. This mindset can be very profitable once adopted, and will become one of the core skillsets that an adult needs to have in order to prosper.
Retrospective 5/27/17
Retrospective–
Our trading style is to have market opinions, but not to trade directly upon them. We follow momentum. Price is truth. However, our hedging is discretionary. We hedge both dynamically (timing risk and taking positions) and statically (matching markets that usually move in opposition).
SPX finally broke above 2400. Took a lot of effort since all the momentum is in the NDX. As you can see below the breadth is acceptable. But we would rather see a broader market move. NYSE is our primary breadth watch. Nasdaq isn’t as good an insight into the broader market. AMEX is a waste of time.
NDX remains the place to be…
Yield curve is orderly with exception of shorter maturities clustering together.
Only a 45 basis point rise in the 2y to trigger an early recession warning.
As you can see below the market is all about technology stocks. Utilities comes in second. Which is an odd market structure. But certainly not unprecedented.
It is our current belief that Mr. Market is birthing an new technology bubble that will run multi-year. It is based upon the growing belief AI will change the world in a new industrial revolution affecting transportation, health, and everything else. Currently, one can buy the leaders of this potential future simply by buying FANG + MSFT + NVDA and the like.
We do not believe this is the Trump bump. If it were a Trump-bump it would be infrastructure and development and regulated-resource plays that were leading. This is the next tech bubble, maybe bigger than the first one. If you play it (and oh how we will! ) never believe the stories that the leaders sell. Pick a momentum filter, and with a heart like a stone, focus on that. The better the story gets, the bigger the name selling it, do not argue with them. Mutter to yourself, “Yes, please, take it higher! Bring in the true believers, Let them all buy!”