“In a sense, we’re all meat robots.” Chief Scientist at Hanson Robotics blurs the lines between biological and engineered robotics in this short yet fascinating excerpt.
Posted in biological, robotics/AI
Transhumanists will know that the science fiction author Zoltan Istvan has unilaterally leveraged the movement into a political party contesting the 2016 US presidential election. To be sure, many transhumanists have contested Istvan’s own legitimacy, but there is no denying that he has generated enormous publicity for many key transhumanist ideas. Interestingly, his lead idea is that the state should do everything possible to uphold people’s right to live forever. Of course, he means to live forever in a healthy state, fit of mind and body. Istvan cleverly couches this policy as simply an extension of what voters already expect from medical research and welfare provision. And while he may be correct, the policy is fraught with hazards – especially if, as many transhumanists believe, we are on the verge of revealing the secrets to biological immortality.
In June, Istvan and I debated this matter at Brain Bar Budapest. Let me say, for the record, that I think that we are sufficiently close to this prospect that it is not too early to discuss its political and economic implications.
Two months before my encounter with Istvan, I was on a panel at the Edinburgh Science Festival with the great theorist of radical life extension Aubrey de Grey, where he declared that people who live indefinitely will seem like renovated vintage cars. Whatever else, he is suggesting that they would be frozen in time. He may actually be right about this. But is such a state desirable, given that throughout history radical change has been facilitated generational change? Specifically, two simple facts make the young open to doing things differently: The young have no memory of past practices working to anyone else’s benefit, and they have not had the time to invest in those practices to reap their benefits. Whatever good is to be found in the past is hearsay, as far as the young are concerned, which they are being asked to trust as they enter a world that they know is bound to change.
Questions have been already raised about whether tomorrow’s Methuselahs will wish to procreate at all, given the time available to them to realize dreams that in the past would have been transferred to their offspring. After all, as human life expectancy has increased 50% over the past century, the birth rate has correspondingly dropped. One can only imagine what will happen once ageing can be arrested, if not outright reversed!
So, where will the new ideas of the future come from? The worry here is that society may end up being ruled by people with overlong memories who value stability over change: Think China and Japan. But perhaps the old Soviet Union is the most telling example, as its self-consciously revolutionary image gradually morphed into a ritualistic veneration of the original 1917 revolutionary moment. To these gerontocratic indicators, the recent UK vote to leave the European Union (‘Brexit’) adds a new twist. There were some clear age-related patterns in the outcome: The older the voter, the more likely to vote to leave – and the more likely to vote at all. To be sure, given the closeness of the vote (52% to leave vs. 48% to remain), had the young voted in comparable numbers to their elders, Brexit would have lost.
One might think that the simple solution is to encourage, if not force, the young to vote in larger numbers. However, this does not take into account the liabilities of their elders when it comes to dictating the terms for living in the future. Whatever benefits might accrue to people living longer, the clarity of the memories of such people may not be an unmitigated good, as it might incline them to perpetuate what they regard as the best of their own pasts. One way around this situation is to weight votes inversely to age. In other words, the youngest voters would effectively get the most votes and the oldest voters the least. This would continually force the elders to make their case in terms that their juniors can appreciate. The exercise would serve to destabilize any sense of nostalgia that members of the same generation might experience simply by virtue of having experienced the same events at the same age.
However, two technologically based solutions also come to mind. One is for the elderly to be subject to the strategic memory loss procedure described in the film, The Eternal Sunshine of the Spotless Mind, which might be understood as a the cognitive correlate of an inheritance tax – or even a high-class lobotomy! In other words, the elders would lose their personal attachment to events which would nevertheless remain available in the historical record for more detached scrutiny vis-à-vis their lessons for the future. The other, more drastic solution involves incentivizing the elders to exchange biological for digital immortality. This would enable them to enjoy a virtual existence in perpetuity. They might be resurrected (‘downloaded’) on a regular or simply a need-to-remember basis, depending on prior contractual arrangements. The former might be seen as more ‘religious’, as in a Roman Catholic feast day, and the latter more ‘secular’, as in an ‘on tap’ consultant. But in either virtual form, the elders could retain their attachment to certain past events with impunity while at the same time not inflicting their memories needlessly on present generations.
David Wood, the head of the main UK transhumanist organization, London Futurists, has recently published a summa of anti-ageing arguments, which makes a cumulatively persuasive case for indefinite life extension being within our grasp. But most assuredly, this would create as many social problems as it solves biological ones. Under most direct threat would be the sorts of values historically associated with generational change, namely, those related to new thinking and fresh starts. Of course, as I have suggested, there are ways around this, but they will invariably revive in a new high-tech key classic debates concerning the desirability of brainwashing and suicide.
Over the past several years, Northwestern Engineering’s Michael Jewett did the seemingly impossible. He overcame the critical barrier to making mutant ribosomes, the core catalyst in cells that are responsible for life.
Now, with funding from the Department of Defense’s Multidisciplinary University Research Initiatives (MURI) program, Jewett is ready to take this research to the next level. Along with a multi-school team, he plans to use engineer and repurpose the ribosome to make new kinds of polymers for flow batteries.
“We are in a new era of biomaterial design,” Jewett said. “So far, the ribosome has been this untouchable biomolecular machine — one that we couldn’t engineer or modify. Now, armed with recent advances in our ability to construct new versions, new applications may only be limited by our imagination.”
The MURI grant joins researchers from Northwestern, University of Illinois at Urbana-Champaign, University of Texas at Austin, and Georgia Institute of Technology who will work together to develop new types of electrical materials for battery storage. By using biological catalysts, the team aims to produce materials for sustainable, rechargeable batteries that are currently impossible to make chemically.
Researchers at the Max Planck Institute of Molecular Physiology in Dortmund have now found a way to pinpoint the positions of individual molecules while at the same time measuring their activity and interactions in the same living cell. A dedicated cooling protocol on a microscope allows to pause cellular life at subzero temperatures, to let it continue to live again after warming. From the series of individual snapshots obtained, the researchers are able to form a precise spatial-temporal picture of the activity patterns of individual molecules within individual cells.
Fluorescence microscopy allows seeing where biological molecules are in cells. However, what Werner Heisenberg formulated for quantum physics to a certain extent has its analogy in biology: In the living state one can observe the collective movement of molecules in cells, which makes it however difficult to determine their exact positions. Paradoxically, the molecular dynamics that sustain life have to be halted to record the position of molecules using high-resolution fluorescence microscopy.
Living matter maintains its structure by energy consumption, which results in dynamic molecular patterns in cells that are difficult to observe by fluorescence microscopy, because the molecules are too numerous and their movements too fast. To tackle this problem a choice needs to be made: to precisely record the position of the molecules in a ‘dead’ state or to follow their collective behaviour in the living state. Although researchers have been able to stop movements in cells by chemical fixation, such methods lead to irreversible cell death and the acquired images of molecular patterns are not representative of a living system.
Posted in bioengineering, biological, food
In part 2 of our plant synthetic biology series we teamed up with Cameron Tout of the Legume Laboratory blog to introduce some of the tools of plant synbio and how these are being applied to agriculture.
Over 9000 years ago the first domesticated varieties of wheat were created in South West Asia. What was remarkable about these plants is that they were selected by humans to retain their seeds rather than dispersing them by wind. This meant that wheat became dependent on farmers for propagation, but allowed people to harvest grain without the pods shattering in their hands.
Since then, humans have been modifying plants in ever more sophisticated ways, the 20th century saw the introduction of mutation breeding and hybrid technology, resulting in massive gains in crop yields.
A new “nano scalpel” enables scientists at DESY to prepare samples or materials with nanometre precision while following the process with a scanning electron microscope. The Focused Ion Beam, or FIB, microscope which has now gone into service also allows a detailed view of the inner structure of materials. The device was purchased by the University of Bayreuth, as part of a joint research project on the DESY campus funded by the Federal Ministry of Research. The FIB will be operated at the DESY NanoLab jointly with the University of Bayreuth.
“The microscope is not only able to examine microscopic defects, cracks or point-like corrosion sites underneath the surfaces of materials, but also to machine the surface of samples with extremely high precision, on a nanometre scale,” explains Maxim Bykov, project scientist from the University of Bayreuth. A nanometre is a millionth of a millimetre. The ion beam can be used to remove material as though it were a microscopic milling machine; as a result, the combined ion beam and electron microscope is particularly interesting for a wide range of applications in nanotechnology, materials science and biology.
“Apart from examining the structure of materials, the ability of the ion beam to remove material also leads to a wide range of different applications,” says Natalia Dubrovinskaia who is a professor at the University of Bayreuth and in charge of the joint research project (No. 05K13WC3). One example is the preparation of tiny diamond anvils, which are used to hold samples during ultra high-pressure experiments. The diamonds used for this are so small that there is no other way of preparing them. The ion beam microscope allows so-called double-staged diamond anvil cells to be prepared with nanometre precision. The ultra high-pressure experiments are carried out at DESY’s Extreme Conditions Beamline (ECB) P02.2, headed by DESY scientist Hanns-Peter Liermann.
Nice.
Networks are mathematical representations to explore and understand diverse, complex systems—everything from military logistics and global finance to air traffic, social media, and the biological processes within our bodies. In each of those systems, a hierarchy of recurring, meaningful internal patterns—such as molecules and proteins interacting inside cells, and capacitors and resistors operating within integrated circuits—determines the functions or behaviors of those systems. The larger and more intricate a system is, however, the harder it is for current network modeling techniques to uncover these patterns and represent them in organized, easy-to-understand ways.
Researchers at Stanford University, funded by DARPA’s Simplifying Complexity in Scientific Discovery (SIMPLEX) program, have made progress in overcoming these challenges through a framework they have developed for identifying and clustering what mathematicians call “motifs”: essential but often obscure patterns within systems that are the building blocks of mathematical modeling and that facilitate the computational representation of complex systems.
A research paper describing the team’s achievement was published in Science (“Higher-order organization of complex networks”). At the heart of the team’s success was the creation of algorithms that can automatically explore and prioritize the hidden patterns in data that are fundamental to explaining network structure and function.