Podcast with “Andreessen Horowitz Distinguished Visiting Professor of Computer Science … Fei-Fei Li [who publishes under Li Fei-Fei], associate professor at Stanford University.”
“So there came a time in which the ideas, although accumulated very slowly, were all accumulations not only of practical and useful things, but great accumulations of all types of prejudices, and strange and odd beliefs.
Then a way of avoiding the disease was discovered. This is to doubt that what is being passed from the past is in fact true, and to try to find out ab initio again from experience what the situation is, rather than trusting the experience of the past in the form in which it is passed down. And that is what science is: the result of the discovery that it is worthwhile rechecking by new direct experience, and not necessarily trusting the [human] race[’s] experience from the past. I see it that way. That is my best definition…Science is the belief in the ignorance of experts.“
–Richard P Feynman, What is Science? (1968)[1]
TruthSift.com is a platform designed to support and guide individuals or crowds to rationality, and make them smarter collectively than any unaided individual or group. (Free) Members use TruthSift to establish what can be established, refute what can’t be, and to transparently publish the demonstrations. Anyone can browse the demonstrations and learn what is actually known and how it was established. If they have a rational objection, they can post it and have it answered.
Whether in scientific fields such as climate change or medical practice, or within the corporate world or political or government debate, or on day to day factual questions, humanity hasn’t had a good method for establishing rational truth. You can see this from consequences we often fail to perceive:
Peer reviewed surveys agree: A landslide majority of medical practice is *not* supported by science [2,3,4]. Scientists are often confused about the established facts in their own field [5]. Within fields like climate science and vaccines, that badly desire consensus, no true consensus can be reached because skeptics raise issues that the majority brush aside without an established answer (exactly what Le Bon warned of more than 100 years ago[6]). Widely consulted sources like Wikipedia are reported to be largely paid propaganda on many important subjects [7], or the most popular answer rather than an established one [8]. Quora shows you the most popular individual answer, generated with little or no collaboration, and often there is little documentation of why you should believe it. Existing systems for crowd sourced wisdom largely compound group think, rather than addressing it. Existing websites for fact checking give you someone’s point of view.
Corporate or government planning is no better. Within large organizations, where there is inevitably systemic motivation to not pass bad news up, leadership needs active measures to avoid becoming clueless as to the real problems [9]. Corporate or government plans are subject to group think, or takeover by employee or other interests competing with the mission. Individuals who perceive mistakes have no recourse capable of rationally pursuading the majority, and may anyway be discouraged from speaking up by various consequences[6].
Continue reading “TruthSift: A Platform for Collective Rationality” »
Fox 29 — Good Day Philadelphia
http://www.fox29.com/140735577-video
NBC TV 10
Continue reading “Bringing The Dead Back To Life — Reanima Project / Bioquark Inc. Media Coverage” »
If you’ve ever seen a “recommended item” on eBay or Amazon that was just what you were looking for (or maybe didn’t know you were looking for), it’s likely the suggestion was powered by a recommendation engine. In a recent interview, Co-founder of machine learning startup Delvv, Inc., Raefer Gabriel, said these applications for recommendation engines and collaborative filtering algorithms are just the beginning of a powerful and broad-reaching technology.
Raefer Gabriel, Delvv, Inc.
Gabriel noted that content discovery on services like Netflix, Pandora, and Spotify are most familiar to people because of the way they seem to “speak” to one’s preferences in movies, games, and music. Their relatively narrow focus of entertainment is a common thread that has made them successful as constrained domains. The challenge lies in developing recommendation engines for unbounded domains, like the internet, where there is more or less unlimited information.
“Some of the more unbounded domains, like web content, have struggled a little bit more to make good use of the technology that’s out there. Because there is so much unbounded information, it is hard to represent well, and to match well with other kinds of things people are considering,” Gabriel said. “Most of the collaborative filtering algorithms are built around some kind of matrix factorization technique and they definitely tend to work better if you bound the domain.”
Continue reading “Recommendation Engines Yielding Stronger Predictions into Our Wants and Needs” »
How could global economic inequality survive the onslaught of synthetic organisms, micromanufacturing devices, additive manufacturing machines, nano-factories?
(http://www.beliefnet.com/columnists/lordre/2016/04/obsessed-…L36KMDo.99)
Narrated by Harry J. Bentham, author of Catalyst: A Techno-Liberation Thesis (2013), using the introduction from that book as a taster of the audio version of the book in production. (http://www.clubof.info/2016/04/liberation-technologies-to-come.html)
Continue reading “"Liberation technologies" and the ones who will gain” »
Bioquark, Inc., (http://www.bioquark.com) a company focused on the development of novel biologics for complex regeneration and disease reversion, and Revita Life Sciences, (http://revitalife.co.in) a biotechnology company focused on translational therapeutic applications of autologous stem cells, have announced that they have received IRB approval for a study focusing on a novel combinatorial approach to clinical intervention in the state of brain death in humans.
This first trial, within the portfolio of Bioquark’s Reanima Project (http://www.reanima.tech) is entitled “Non-randomized, Open-labeled, Interventional, Single Group, Proof of Concept Study With Multi-modality Approach in Cases of Brain Death Due to Traumatic Brain Injury Having Diffuse Axonal Injury” (https://clinicaltrials.gov/ct2/show/NCT02742857?term=bioquark&rank=1), will enroll an initial 20 subjects, and be conducted at Anupam Hospital in Rudrapur, Uttarakhand India.
“Virtually all new fossil fuel-burning power-generation capacity will end up “stranded”. This is the argument of a paper by academics at Oxford university. We have grown used to the idea that it will be impossible to burn a large portion of estimated reserves of fossil fuels if the likely rise in global mean temperatures is to be kept below 2C. But fuels are not the only assets that might be stranded. A similar logic can be applied to parts of the capital stock.”
“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.
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.
At least in public relations terms, transhumanism is a house divided against itself. On the one hand, there are the ingenious efforts of Zoltan Istvan – in the guise of an ongoing US presidential bid — to promote an upbeat image of the movement by focusing on human life extension and other tech-based forms of empowerment that might appeal to ordinary voters. On the other hand, there is transhumanism’s image in the ‘serious’ mainstream media, which is currently dominated by Nick Bostrom’s warnings of a superintelligence-based apocalypse. The smart machines will eat not only our jobs but eat us as well, if we don’t introduce enough security measures.
Of course, as a founder of contemporary transhumanism, Bostrom does not wish to stop artificial intelligence research, and he ultimately believes that we can prevent worst case scenarios if we act now. Thus, we see a growing trade in the management of ‘existential risks’, which focusses on how we might prevent if not predict any such tech-based species-annihilating prospects. Nevertheless, this turn of events has made some observers reasonably wonder whether indeed it might not be better simply to put a halt to artificial intelligence research altogether. As a result, the precautionary principle, previously invoked in the context of environmental and health policy, has been given a new lease on life as generalized world-view.
The idea of ‘existential risk’ capitalizes on the prospect of a very unlikely event that, were it to pass, would be extremely catastrophic for the human condition. Thus, the high value of the outcome psychologically counterbalances its low probability. It’s a bit like Pascal’s wager, whereby the potentially negative consequences of you not believing in God – to wit, eternal damnation — rationally compels you to believe in God, despite your instinctive doubts about the deity’s existence.
However, this line of reasoning underestimates both the weakness and the strength of human intelligence. On the one hand, we’re not so powerful as to create a ‘weapon of mass destruction’, however defined, that could annihilate all of humanity; on the other, we’re not so weak as to be unable to recover from whatever errors of design or judgement that might be committed in the normal advance of science and technology in the human life-world. I make this point not to counsel complacency but to question whether ‘existential risk’ is really the high concept that it is cracked up to be. I don’t believe it is.
In professional cycling, it’s well known that a pack of 40 or 50 riders can ride faster and more efficiently than a single rider or small group. As such, you’ll often see cycling teams with different goals in a race work together to chase down a breakaway before the finish line.
This analogy is one way to think about collaborative multi-agent intelligent systems, which are poised to change the technology landscape for individuals, businesses, and governments, says Dr. Mehdi Dastani, a computer scientist at Utrecht University. The proliferation of these multi-agent systems could lead to significant systemic changes across society in the next decade.
Image credit: ResearchGate
“Multi-agent systems are basically a kind of distributed system with sets of software. A set can be very large. They are autonomous, they make their own decisions, they can perceive their environment, “Dastani said. “They can perceive other agents and they can communicate, collaborate or compete to get certain resources. A multi-agent system can be conceived as a set of individual softwares that interact.”
Continue reading “The Many Uses of Multi-Agent Intelligent Systems” »
