Lifeboat Foundation

https://youtube.com/watch?v=MAMuNUixKJ8

Dr. Demis Hassabis is the Co-Founder and CEO of DeepMind, the world’s leading General Artificial Intelligence (AI) company, which was acquired by Google in 2014 in their largest ever European acquisition. Demis will draw on his eclectic experiences as an AI researcher, neuroscientist and video games designer to discuss what is happening at the cutting edge of AI research, including the recent historic AlphaGo match, and its future potential impact on fields such as science and healthcare, and how developing AI may help us better understand the human mind.

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On the path towards Singularity — I believe that this is an individual choice. However, to remain relevant and competitive in industry we may see a day when folks will require this type of enhancement to compete, perform in military operations, etc.

The researchers carried out a survey of more than 4,700 US adults.

Continue reading “Most people are too scared to use brain chips and synthetic blood to improve performance” »

As I and others have shared for a while, Bio/ DNA Computing will be a major key piece of the Singularity picture.

MIT has taken a big step toward the ability to use engineered life-forms as a means of sensing, tracking, and even doing basic computing of information.

Perfecting Synthetic biology — this definitely is advancement forward in the larger Singularity story.

In both higher organisms and bacteria, DNA must be segregated when cells divide, ensuring that the requisite share of duplicated DNA goes into each new cell. While previous studies indicated that bacteria and higher organisms use quite different systems to perform this task, A*STAR researchers have now found a bacterium that uses filaments with key similarities to those in multicellular organisms, including humans.

Robert Robinson from the A*STAR Institute of Molecular and Cell Biology has a long-standing interest in what he calls the “biological machines” that move DNA around when cells divide. He and his co-workers had gleaned from gene sequencing analysis that there was something distinctive about the DNA-moving machinery in the bacterium Bacillus thuringiensis.

Continue reading “Proteins that move DNA around in a bacterium are surprisingly similar to those in our own cells” »

Transhuman Terminology.

ADHOCRACY
AEONOMICS
A-LIFE
AGORIC SYSTEM

AI-COMPLETE ALEPH ALGERNON AMORTALIST ARACHNIOGRAPHY ARCH-ANARCHY ARCOLOGY ARROW IMPOSSIBILITY THEOREM ARTILECT ASEX ASIMORT ASIMOV ASSEMBLER ATHANASIA ATHANOPHY ATHEOSIS AUGMENT AUTOEVOLUTIONIST AUTOMATED ENGINEERING AUTOMORPHISM AUTOPOTENT AUTOSCIENT BABY UNIVERSE BASEMENT UNIVERSE BEAN DIP CATASTROPHE BEANSTALK BEKENSTEIN BOUND BERSERKER BETELGEUSE-BRAIN BIG CRUNCH BINERATOR BIOCHAUVINISM BIOLOGICAL FUNDAMENTALISM BIONICS BIONOMICS BIOPHILIAC BIOSTASIS B-LIFE BLIGHT BLIND UPLOADING BLUE GOO BOGOSITY FILTER BORGANISM BREAKEVEN POINT BROADCATCHING BRUTE FORCE UPLOADING BUSH ROBOT CALCUTTA SYNDROME CALM TECHNOLOGY CALORIE RESTRICTION CASIMIR EFFECT CEREBROSTHESIS CHINESE ROOM CHRONONAUTS CHURCH-TURING THESIS COBOTS COMPUFORM COMPUTRONIUM CONCENTRATED INTELLIGENCE CONSILIENCE CONNECTIONISM CONTELLIGENCE CONTINUITY IDENTITY THEORY COSMYTHOLOGY CRYOBIOLOGY CRYOCRASTINATE CRYOGENICS CRYONICS CRYONIC SUSPENSION CRYPTO ANARCHY CRYPTOCOSMOLOGY CYBERCIDE CYBERFICTION CYBERGNOSTICISM CYBERIAN CYBERNATE/CYBERNIZE CYBERSPACE/CYBERMATRIX CYBRARIAN CYPHERPUNK DEANIMALIZE DEATH FORWARD DEATHISM DEEP ANARCHY DEFLESH DIGITAL PSEUDONYM DIAMONDOID DISASSEMBLER DISASTERBATION DISTRIBUTED INTELLIGENCE DIVERGENT TRACK HYPOTHESIS DIVERSITY IQ DIVIDUALS DOOMSDAY ARGUMENT DOWNLOAD DRYWARE DUBIFIER DYSON SPHERE ECOCALYPSE ECTOGENESIS

EMBRYOMEME
EMULATION
ENHANCED REALITY
ENVIROCAPITALISM
EPHEMERALISTS
E-PRIME
ESCALATORLOGY
THE ETERNAL LIFE POSTULATE
EUPSYCHIA
EUTHENICS
EVOLUTIONARILY STABLE STRATEGY (ESS)
EVOLUTURE
EXCONOMICS
EXES
EXFORMATION
EXISTENTIAL TECHNOLOGY
EXOPHOBIA
EXOSELF
EXTROPIAN
EXTROPIATE
EXTROPIC
EXTROPOLIS
EXTROPY
FACULTATIVE ANAGOROBE
FAR EDGE PARTY
THE FERMI PARADOX
FEMTOTECHNOLOGY
FLATLANDER
FLUIDENTITY
FOGLET
FORK
FREDKIN’S PARADOX
FUNCTIONAL SOUP
FUTIQUE
FUTURE SHOCK
GALAXY BRAIN
GAUSSIAN
GENEGENEERING
GENETIC ALGORITHM
GENIE
GREEN GOO
GÖDEL’S THEOREM
GOLDEN GOO
GREAT FILTER, THE
GREY GOO
GUY FAWKES SCENARIO
HALLUCINOMEMIC
HIVE COMPUTING
HOMORPH
HPLD
HYPERTEXT
HYPONEIRIA
HYPOTECH

Continue reading “Transhumanist Terminology” »

Ray Kurzweil is a celebrity technologist, well known both for his work as an inventor and for his relatively accurate predictions of technological change. Among his predictions is that of an imminent biotech revolution, which may enable people to restore and maintain healthy life for much longer periods of time than those humans have enjoyed historically. In the meantime, Ray says he takes 250 dietary supplements each day, in addition to receiving half a dozen intravenous therapies each week.

“Although my program may seem extreme, it is actually conservative – and optimal (based on my current knowledge). [My doctor] and I have extensively researched each of the several hundred therapies that I use for safety and efficacy. I stay away from ideas that are unproven or appear to be risky (the use of human-growth hormone, for example).” – Ray Kurzweil in The Singularity Is Near (pages 211–212)

Some of Ray’s dietary supplements are nootropics, intended to maintain and improve brain health. He lists them in his book, Transcend (pages 15 and 22). I’ve compared the nootropics he recommends to reviews on Examine.com, an independent and unbiased encyclopedia on supplementation and nutrition that is not affiliated in any way with any supplement company. Below is a table that summarizes what I found, followed by some observations.

Continue reading “Ray Kurzweil’s Nootropic Dietary Supplement Stack” »

To truly reach a fully connected world/ singularity we have to move tech into more and more bio-computing world. I do believe QC will assist us in getting the fundamental infrastructure we need for singularity.

We already must deal with computers too much rather than too little, and there is already lots of advanced computing done also for example in materials science and nanotechnology, for example molecular dynamics (MD) and Monte Carlo simulations.[2] The molecular biologist’s programs for predicting protein folding can also count as nanotechnology. Nevertheless, all of our previous articles concluded that we need more computing, and several mentioned statistics. This would sound predictable if coming from a statistical physicist with a background in computing, advertising his skills. However, we mean a more efficient computing rather than simply more.

We started the type of computing we do only recently and for reasons not yet mentioned: Given complex nano-micro compounds, materials’ characterization is difficult due to the three-dimensional complexity of the structures. We originally integrated image analysis with simulation in order to derive 3D structure from 2D images (SEM) and projections (TEM).[3,4] The most fruitful result was however the insight into how easy it is to create adaptable software that analyzes images and keeps track of all the data, calculating anything desired such as comparisons with numerical simulations, all in one integrated system.[5,6] Many of the previously discussed issues, for example error reporting, are thereby basically already automatically solved!

Adapting software sounds prohibitively difficult: Who in my lab can modify software? Nowadays everybody! Today, programming is done partially graphically, for example with LabView™, where no programming language appears anymore. We work with Mathematica and therefore with programming code, but we mostly just download parts of code and adapt them playfully until they behave as desired. To whomever such does not count as the ability to program, we cannot program!

Continue reading “A Flexible Evolving Approach To Computing” »