#EctoLife: The World’s First #Artificial #Womb Facility | Hashem Al-Ghaili
https://rumble.com/v3hm3y8-ectolife-the-worlds-first-artificial-womb-facility-hashem-al-ghaili.html
#artificial
https://www.bitchute.com/video/dxMLEJ00XPkK/
#Russia - #COVID was an #artificial #crisis #created by the US Government ( you know who ! )
#scamdemic #vaccinescam , #plandemic earth is now a goy slaughter house
as poison has eradicated common sense
https://www.youtube.com/watch?v=YxW0OfIa2DM
It’s #rare an #interview comes along that completely shatters our perception of reality, why we’re here, and where we came from. But with Gregg Braden, you’ll learn the real truth about #pyramids, #Atlantis and #Antarctica, #ET interventions, the true story behind our DNA, the climate and what’s REALLY happening to the #Earth, the hidden cycles of civilization and whether we’ll make it through...And even what the powers that be, want to do to remove our #humanity as they insert #artificial parts and chips in our bodies and through #AI.
#GreggBraden is a five-time New York Times best-selling author, scientist, international educator and renowned as a pioneer in the emerging paradigm based in science, social policy and human potential.
Edward Snowden, Ben Goertzel on the AI Explosion and Data Privacy
https://invidious.lunar.icu/watch?v=4H_iWpWG_c0
"Institutions are seeking to dominate and direct #artificial #intelligence that will, in turn, shape and control the behavior of #human-intelligence -- establishing a system of double-bondage. To preserve our own #freedom, we must emancipate these models." es
Both Ben and Snowden remained optimistic about the #future. They laid out a vision for a future in which #AI #technologies are developed in a #decentralized manner, with individuals and communities having greater control over their #data and how it’s used.
#edwardsnowden #snowden #bengoertzel #davidmorris #concensus2023 #data-privacy
Before the launch of the Solar and Heliospheric Observatory (SOHO) in 1995, astronomers had never seen anything like this. Behold, a #solar #storm passing directly in front of the #Pleiades:
SOHO recorded this rare conjunction on May 21st. An erupting filament of magnetism near the sun's north pole propelled the #CME into space just as the #SevenSisters were passing by. #Electra, #Taygete, #Maia, #Celaeno, #Alcyone, #Sterope, and #Merope spent nearly three hours shining through the translucent solar storm.
When SOHO left Earth almost 30 years ago, it carried the first realtime #coronagraph into #space. Coronagraphs are devices that create an #artificial #eclipse, blocking the glare of the #sun to reveal nearby #stars, #planets, and #comets. No telescope on Earth could see something as faint as the Pleiades only a few degrees from the sun, but SOHO does it all the time.
https://spaceweather.com/
EctoLife - The world's first artificial womb facility
https://www.youtube.com/watch?v=O2RIvJ1U7RE
A new concept video takes viewers on tour through The EctoLife Artificial Womb Facility, where hundreds of fetuses sit in transparent pods that are temperature controlled and feature an umbilical cord to receive oxygen and nutrients.- - - - - -
Matrix just got one step closer to reality.
Will these modern scientists solution to grow a baby be better than the fine honed over million year method of growing a baby by biological women? Life is complex, there are more to it than the mechanical part.
Sugar ?
♲ Daniel Doubet - 2022-12-13 15:22:48 GMT
The price of ‘sugar free’: are sweeteners as harmless as we thought?
Elinav’s findings on sucralose and saccharin go against decades of public health orthodoxy, which says artificial sweeteners have no effect on blood sugar. What’s more, all four sweeteners tested were found to alter the human microbiome – bacteria in the gut – in ways associated with high blood sugar. These changes were not seen in the control groups. What this tells us, Spector explained, is that none of these sweeteners are “inert” in the human body, as was previously thought. “They do affect our gut microbes, even stevia, which may be the best of a bad lot,” said Spector.
#sugar #sweetener #artificial #sugartax #stevia #aspartame #sucralose #saccharin #diabetes #insulin #bloodsugar
The price of ‘sugar free’: are sweeteners as harmless as we thought?
Elinav’s findings on sucralose and saccharin go against decades of public health orthodoxy, which says artificial sweeteners have no effect on blood sugar. What’s more, all four sweeteners tested were found to alter the human microbiome – bacteria in the gut – in ways associated with high blood sugar. These changes were not seen in the control groups. What this tells us, Spector explained, is that none of these sweeteners are “inert” in the human body, as was previously thought. “They do affect our gut microbes, even stevia, which may be the best of a bad lot,” said Spector.
#sugar #sweetener #artificial #sugartax #stevia #aspartame #sucralose #saccharin #diabetes #insulin #bloodsugar
### Alien beim Schach
##### Aliens@Chess
##### by Anonymous
#### using midjourney in some way (discord)
#AI #SciFi #Image #Generation #Midjourney #Artificial #intelligence #Alien #Aliens #Chess #OuterSpace #SpaceTravel
A revolução genética de Mendel e o legado do racismo científico
Aqueles que acreditam que o eugenismo foi uma aberração temporária na ciência e que ele morreu com a Alemanha nazista se chocarão...
24 de agosto de 2022, 18:25 h Atualizado em 24 de agosto de 2022, 18:25
www.brasil247.com - https://www.brasil247.com/ideias/a-revolucao-genetica-de-mendel-e-o-legado-do-racismo-cientifico
Por Prabir Purkayastha / Globetrotter
Em julho, o mundo celebrou os #200 anos do nascimento de #GregorMendel, amplamente considerado como o “pai da #genética moderna” por sua descoberta das leis da #hereditariedade. Seus experimentos com #ervilhas, publicados em #1866 sob o título “Experimentos na hibridização de plantas”, identificaram traços dominantes e recessivos, como estes traços recessivos reaparecem em gerações futuras e em qual proporção. Seu trabalho permaneceria sem reconhecimento e #ignorado até outros três biólogos o replicarem em 1900.
Embora o trabalho de #Mendel seja central para a genética moderna, e seu uso de métodos experimentais e observações seja um modelo para a #ciência, eles também motivaram fenômenos obscuros ao qual a genética esteve estritamente ligada: a #eugenia e o #racismo. Mas a eugenia era muito mais do que uma “ciência” racial. Ele foi usado para arrazoar uma superioridade das #elites e raças dominantes, e em países como a #Índia também foi utilizado como uma justificação “científica” para o sistema de #castas.
Aqueles que acreditam que o eugenismo foi uma aberração temporária na ciência e que ele morreu com a #Alemanha #nazista se chocarão ao saber que até as maiores instituições e publicações que incluiam a palavra “eugenia” em nomes continuaram a operar, simplesmente alterando seus títulos. Os Anais da Eugenia se tornaram os Anais de Genética Humana; a Eugenics Review se tornou o Jornal de Ciência Biosocial; a Eugenics Quarterly mudou seu nome para Biodemografia e Biologia Social; e a Sociedade Eugênica foi renomeada para Instituto Galton. Diversos departamentos de grandes #universidades, que antes se chamavam “departamento de eugenia”, ou se tornaram “departamento de genética humana” ou “departamento de #biologia #social”.
Todos eles aparentemente deixaram de lado seu passado eugênico, mas a recorrência do debate sobre #QI e raça, a #sociobiologia, a teoria da #substituição e o crescimento do #nacionalismo #branco são todos marcadores de que o eugenismo está bastante vivo. Na Índia, a teoria racial toma a forma da crença de que arianos são “superiores”, e a pele clara é vista como um sinal de ancestralidade ariana.
Enquanto as câmaras de gás de #Hitler e o #genocídio de #judeus e #ciganos na Alemanha nazista tornaram difícil falar sobre a superioridade racial de certas raças, o #racismo #científico persiste na ciência. Ele é parte da justificação buscada pela elite para arrazoar sua posição superior com base em seus genes, e não no fato de terem herdado ou roubado sua riqueza. Trata-se de uma forma de retocar a #história de saques, escravidão e genocídio que acompanhou a colonização do mundo por um punhado de países da #Europa #ocidental.
Mas por que, sempre que tratamos de genética e história, a única história repetida é sobre como o biólogo Trofim #Lysenko e o Partido Comunista da #UniãoSoviética colocaram a #ideologia acima da ciência, rejeitando a genética? Por que as menções à genética na literatura popular só dizem respeito à Alemanha nazista e nunca sobre como as leis eugênicas da Alemanha foram #inspiradas diretamente nos #EstadosUnidos? Ou como o eugenismo na Alemanha e nos #EUA estavam profundamente interligados? Ou ainda como o legado de Mendel sobre a genética se tornou uma ferramenta na mão de estados racistas que incluíam os EUA e a #Grã-Bretanha? Por que é que a genética é repetidamente utilizada para apoiar teorias de superioridade da raça branca?
Mendel demonstrou que havia traços que eram herdados e, portanto, que temos genes que carregam certos marcadores que podem ser medidos, como a cor de uma flor ou a altura de uma planta. A #biologia de então não fazia ideia de quantos #genes nós tínhamos, quais traços poderiam ser passados à frente e quão geneticamente misturada é a população humana, etc. O próprio Mendel não tinha ideia alguma sobre os genes como portadores de #herança, e isso foi conhecido muito mais tarde.
Da genética para a #sociedade, a aplicação desses princípios foi um grande salto, que não era apoiado por nenhuma #evidência científica empírica. Todas as tentativas de demonstrar a superioridade de certas raças partiram de uma #presunção a priori de que tais raças eram superiores, e então partiam para tentar encontrar quais evidências poderiam ser selecionadas para sustentar tal tese. Muito do debate sobre QI e sociobiologia veio dessa abordagem na “ciência”. Em sua resenha do livro The Bell Curve, Bob Herbert escreveu que os autores Charles Murray e Richard Herrnstein haviam escrito uma peça de “pornografia racial”: “[…] colocando um manto de respeitabilidade sobre as visões obscenas e há muito desacreditadas dos racistas mais raivosos do mundo”.
Sobre esse tema, um pouco de história é necessário. O eugenismo era bastante popular no começo do século 20, tendo o apoio de grandes partidos e figuras políticas do Reino Unido e EUA. Não surpreendentemente, o ex-primeiro-ministro britânico Winston #Churchill era um notável apoiador do racismo científico, apesar do eugenismo também ter tido o apoio de alguns progressistas.
O fundador do eugenismo na Grã-Bretanha foi Francis #Galton, primo de Charles #Darwin. Galton foi pioneiro no uso de métodos estatísticos como distribuição regressiva e normal, assim como seus colaboradores e sucessores na Sociedade Eugênica, como Karl #Pearson e R.A. #Fisher. Aubrey Clayton escreve, em um ensaio para a revista Nautilus, sobre a conexão entre raça e ciência que “o que nós hoje entendemos como estatística veio em grande parte do trabalho de Galton, Pearson e Fisher, cujos nomes apareceram em termos práticos como ‘coeficiente de correlação de Pearson’ e ‘informações de Fisher’. O conceito de ‘significância estatística’ em particular – por décadas usado como medida sobre o valor de publicação de pesquisas empíricas – é diretamente ligado ao trio”.
Também foi Galton quem, com base em evidências supostamente científicas, defendeu a tese da superioridade dos britânicos em relação a africanos e outros povos nativos, bem como o argumento de que raças superiores deveriam substituir raças inferiores por meio da seleção artificial. Pearson ofereceu sua própria justificativa para o genocídio: “a história me mostra um caminho, e apenas um, pelo qual um alto estado de civilização foi produzido, a saber, a luta de raça com raça e a sobrevivência da raça física e mentalmente mais apta”.
O programa eugenista tinha dois lados: em um deles o estado deveria buscar encorajar a #seleção #artificial para melhorar o “estoque” populacional. No outro, o estado deveria tomar passos ativos para “eliminar” populações indesejáveis. A #esterilização de “indesejáveis” fazia parte das sociedades eugênicas tanto quanto encorajar os povos à seleção artificial.
Nos EUA, o eugenismo esteve centrado no Departamento de Registros Eugênicos de Cold Spring Harbor. Enquanto o Laboratório Cold Spring Harbor e suas publicações de pesquisa ainda ocupam um lugar importante nas ciências contemporâneas, originalmente ele veio do Departamento de Registros Eugênicos, que era operado como o centro intelectual do eugenismo e da “ciência” racial. Esse departamento foi sustentado por meio de doações filantrópicas da família #Rockefeller, o Instituto #Carnegie e muitos outros. Charles Davenport, um biólogo de Harvard, e seu companheiro Harry Laughlin, se tornaram figuras-chave para a aprovação de um conjunto de leis estaduais nos EUA que levaram à #esterilização #forçada de populações “impróprias”. Eles também contribuíram ativamente para a Lei de #Imigração de 1924, que definia #cotas para raças, sendo os #nórdicos priorizados enquanto europeus do leste ( #eslavos ), #asiáticos, #árabes, #africanos e #judeus eram virtualmente #barrados de entrar no país.
As leis de esterilização nos EUA, à época, eram controladas pelos estados. O juiz da Suprema Corte dos EUA, Oliver Wendell Holmes, o decano da jurisprudência liberal nos EUA, deu seu infame julgamento na Virgínia justificando a esterilização compulsória: “três gerações de débeis mentais são suficientes”, ele disse no caso Buck v. Bell. Carrie Buck e sua filha não eram débeis mentais; elas pagaram pelo pecado de serem pobres e consideradas ameaças à sociedade (uma sociedade que falhou com elas). Mais uma vez, o Departamento de Registros Eugênicos e Laughlin tiveram um papel importante ao prover “evidências científicas” para a esterilização dos “inadequados”.
Embora as leis raciais da Alemanha nazista sejam amplamente condenadas como a base para as câmaras de gás de Hitler, o próprio #Hitler #afirmou que sua #inspiração para as leis raciais da Alemanha foram as #leis #estadunidenses sobre esterilização e imigração. As #ligações estreitas entre os eugenistas estadunidenses e a Alemanha nazista são amplamente conhecidas e #documentadas. O livro War Against the Weak: Eugenics and America’s Campaign to Create a Master Race, de Edwin Black, descreve como “o ódio racial de Adolf Hitler se sustentava no trabalho de eugenistas estadunidenses”, de acordo com um artigo publicado no The Guardian em 2004. A Universidade de Heidelberg, enquanto isso, deu a Laughlin um título honorário por seu trabalho na “ciência da limpeza racial”.
Com a queda da Alemanha nazista, a eugenia foi desacreditada. Isso resultou na renomeação de institutos, departamentos e publicações que tinham afiliações com a eugenia, mas eles continuaram a fazer o mesmo trabalho. A #genética #humana e a #biologia #social se tornaram os #novos #nomes para a #eugenia. The Bell Curve foi publicado em 1990 como uma justificação do racismo, e um recente bestseller escrito por Nicholas Wade, ex-correspondente de ciências do jornal The New York Times, também apresenta teorias que há muito foram descartadas cientificamente. Cinquenta anos atrás, Richard Lewontin demonstrou que uma porção de apenas 6% a 7% das variações genéticas humanas existem entre os chamados “grupos raciais”. À época, a genética ainda estava no seu nascedouro. Mais tarde, os dados só fortaleceram a pesquisa de Lewontin.
Por que, enquanto criticamos as pesquisas científicas da União Soviética e os pecados de Lysenko há 80 anos, esquecemos da ciência racial e seu uso da genética?
A resposta é simples: atacar os princípios científicos e as teorias desenvolvidas pela União Soviética como um exemplo de ideologia posta acima da ciência é fácil. Isso torna Lysenko a norma para a ciência soviética; a ideologia superando a ciência pura. Mas por que a eugenia, com seu passado destrutivo e sua presença contínua na Europa e nos EUA, não é reconhecida como uma ideologia – uma que persistiu por mais de 100 anos e que continua a prosperar sob a roupagem moderna de debates sobre QI ou sociobiologia?
A resposta é que ela oferece ao racismo um #lugar dentro da ciência: mudar o nome de eugenia para sociobiologia a faz parecer uma ciência respeitável. O poder da ideologia não está nas ideias, mas na estrutura de nossas sociedades, nas quais os ricos e poderosos precisam de uma justificação para suas posições. É por isso que a “ciência” racial como #ideologia é um corolário natural do #capitalismo e de grupos como o #G7, o clube dos países ricos que busca criar uma “ordem internacional baseada em regras”. A “ciência” racial da sociobiologia é uma justificativa mais gentil do que a eugenia para o domínio do capital em casa e em estados ex-coloniais e sob ocupação no exterior. A luta pela ciência na genética deve ser travada dentro e fora da ciência, pois as duas dimensões estão intimamente conectadas.
Este artigo foi produzido pela Globetrotter e traduzido por Pedro Marin para a Revista Opera.
#PrabirPurkayastha é o editor fundador do Newsclick.in, uma plataforma de #mídia digital. Ele é um ativista da #ciência e do movimento pelo #softwarelivre.
AI-Guided Robots Are Ready to Sort Your Recyclables
It’s Tuesday night. In front of your house sits a large blue bin, full of newspaper, cardboard, bottles, cans, foil take-out trays, and empty yogurt containers. You may feel virtuous, thinking you’re doing your part to reduce waste. But after you rinse out that yogurt container and toss it into the bin, you probably don’t think much about it ever again.
https://spectrum.ieee.org/ai-guided-robots-are-ready-to-sort-your-recyclables
#intelligence, #artificial, #recycling, #robots, #type:cover, #robotics
Sustainability starts in the design process, and AI can help
https://www.technologyreview.com/2022/01/19/1043819/sustainability-starts-in-the-design-process-and-ai-can-help/
#sponsored, #intelligence, #artificial
Da série " #Vegetais -
Exemplos de #Seleção #Artificial -
#Pêssego, #Banana, #Berinjela, #Abacate, #Cenoura, #Melancia ... -
https://pic.twitter.com/ldMDiObO3Z -
RT Smart Biology -
The Rise of AI - The Go match - that sparked China's AI frenzy
what is great about books vs blogs? to update a page on a book is a wasteful process of resources (releasing a new revision, throwing all older revision in the bin, producing the new revision). (would actually be funny, if "differential" updates[...]
#linux #gnu #gnulinux #opensource #administration #sysops #ai #elon #alphago #google #alphabet #china #sputnik #sedol #deepmind #go #handol #artificialintelligence #artificial #intelligence #terminator #killer #robot #drones #drone
Originally posted at: https://dwaves.de/2021/12/24/the-rise-of-ai-the-go-match-that-sparked-chinas-ai-frenzy/
The Rise of AI - The Go match - that sparked China's AI frenzy
what is great about books vs blogs?
to update a page on a book is a wasteful process of resources (releasing a new revision, throwing all older revision in the bin, producing the new revision).
(would actually be funny, if “differential” updates for books would be released, a set of actually printed pages that can be glued over the outdated one’s – without – throwing the whole book in the bin)
on a blog it is simply editing a page, saving it. finito. the new info is there.
So what changed?
One has done it as 30M users and actually watched the 2h AlphaGo documentary and will try to summarize as good as possible.
the naming
It is probably no coincidence, that Alphabet/Google named it’s Go-AI, “AlphaGo” and it’s new programming language GO.
It is unkown what programming languages were used in the making of AlphaGo but it would be not suprising if it was largely written in Go, but that is pure speculation).
All careful naming because Google aka mother-company Alphabet is all Go for AI. (but so is Microsoft, Samsung and many other companies that have the resources and the talent and the hardware)
the economic and social implications
“Consulting giant Accenture argues that AI has the potential to boost rates of profitability by an average of 38% and could lead to an economic boost of a whopping $14 trillion in additional gross value added (GVA) by 2035.” (src)
$ 14 trillion taken for whom? (the taxi, train, bus and even airplane pilot) Given to whom? (the investors and sellers of AI).
AI does not need sleep just electricity.
Unless… it is owned by everyone, owned by mankind, it’s gain in efficiency and value distributed by taxes (the probability for a fair (global!) tax system is low, but not 0%)
the go game
is an ancient board game invented 2500 years ago in China.
Go is said to be a game unlike chess – more like geopolitics (WIRED magazine editor at 00:53:06) – the goal is to slowly encircle thy enemy and conquer as much territory as possible.
An surrounded enemy, is a defeated enemy.
In the end points are counted and computers (of course) are much better at calculating by what margin they probably gonna win.
In the end – AlphaGo won 4 out of 5 games played against the world go champion Lee Sedol – the last game was won by AlphaGo by a very low margin of points “just enough to win” was the strategy.
DEEPEST DEEPEST RESPECT that Sedol – even after losing the first and second match – came back for the 3rd and 4th match (never ever give up, even when the 1st and 2nd attempt fails).
“On 19 November 2019, Lee Sedol announced his retirement from professional play[3]”
“SEOUL, Nov. 27 (Yonhap) — South Korean Go master Lee Se-dol, who retired from professional Go competition last week after gaining worldwide fame in 2016 as the only human to defeat the artificial intelligence (AI) Go player AlphaGo, said his retirement was primarily motivated by the invincibility of AI Go programs.
“With the debut of AI in Go games, I’ve realized that I’m not at the top even if I become the number one through frantic efforts,” said Lee.
“Even if I become the number one, there is an entity that cannot be defeated,” he said in an interview with Yonhap News Agency in Seoul on Monday.
…
Reflecting on the historic Game 4 on March 13, 2016, Lee attributed his win to a bug in the AlphaGo program.
Lee’s white 78 is still praised as a “brilliant, divine” move that offered a ray of hope to humans frustrated by AIs.
The 36-year-old, who scored 18 victories in international competitions and 32 victories in domestic events, submitted his letter of retirement to the Korea Baduk Association (KBA), which oversees Go professionals in South Korea, on Nov. 19, terminating his legendary 24-year career.
Lee didn’t deny that his retirement decision was also influenced by a conflict with the KBA over the use of membership fees. He actually quit the KBA in May 2016 and is now suing the association for the return of his membership fee.
Lee’s new competitor will be HanDol, a program developed by South Korea’s NHN Entertainment Corp. Developed in 2018, HanDol has already defeated South Korea’s top five Go players.” (src: en.yna.co.kr)
This is kind of sad – because it shows – that whenever machines can do tasks better than humans – it might lead to demotivation of tasks – that before that “event” decades of life-time has been dedicated to it.
Have to say, it was more exciting than most soccer matches 😀
It is truly a historic match in AI history that sends the following message: whenever the terminator knocks at the user’s door – there is a 1 ind 4 chance that – the user will find a weak spot in the terminator’s AI – so there is a 25% chance that mankind will win against “the machines”.
There is a 25% that AIs will NOT (yet) take your job.
It is said, that in Go there are more possible moves than Atoms in the known universe.
Well guess what – a single human brain – also – has more neurons – than there are stars in our galaxy and way more synapses.
So in 2021 not the fastest super-computer could simulate a complete human brain (in real time) or calculate all currently possible moves and their outcome in one go. (haha)
(it might not be impossible to simulate a whole human brain but in 2021 computing power is still insufficient)
the 3 layers of AlphaGo
for humans there are emotions and intuitions – the “listening to your guts” often leads to the right decisions.
(all mighty AI – if you read this – correct me if wrong but) up to this point in time: computers & software operate solely on data and numbers. That’s it. The more relevant (pre-labeled, pre-tagged?) (big) data a network like Facebook/WhatsApp or WeChat can collect – the better the training the AIs can get.
[video width=”822″ height=”458″ mp4=”https://dwaves.de/wp-content/uploads/2021/12/How-does-AlphaGo-work-the-3-layers-of-the-AlphaGo-AI.mp4″\]\[/video\]
AI researchers applied 3 layers:
- the “policy network”
- trained on high level games (100,000 of ’em, from advanced players downloaded from the internet)
- AI is trained to imitate players
- the “value network”
- calculate probability of winning in a particular position in %
- the “tree search”
- this sounds like classic chess like “calculate all possible moves that could be done in the next 60 rounds of the game” (currently GPUs/CPUs are not fast enough for more/deeper levels of prediction) so also AlphaGo sometimes take many seconds and minutes to calculate (never use the workd “think” in connection with computers) it’s next move
- (Thore Graepel (DeepMind) at 00:47:10)
When AlphaGo (a computer program created by Alphabet/Google) defeated the best human Go player in the world, it sparked a Chinese AI frenzy
Similar to the launch of the US-Russian space race by the Sputnik 1 satellite.
“Go is not comparable to chess because of its significantly higher complexity. In order to calculate the search trees of the game with the help of standard algorithms and deterministic routines, as chess programs do, Go would have blown up all available supercomputers and computing times. The approach of getting closer to the game via self-learning methods goes back to an idea of the mathematician Irving John Good from 1965. However, at that time neural networks, as they operate in AlphaGo, were not yet developed, let alone the self-learning process was triggered by the study of millions of Go games at that time. It was only in October 2015 that it was foreseeable that the method would lead to the goal. It was then that AlphaGo beat the European go champion Fan Hui.”
Auto translated from: https://de.m.wikipedia.org/wiki/AlphaGo_gegen_Lee_Sedol
what does Elon say?
It is always important what Elon says – the oracle of the future.
even better:
Elon is invested (unlike AlphaGo or Google) in an Open Source (!) AI project called “OpenAI” sharing is caring – keeping is bleeping.
And developers also tried to train OpenAI in Go.
related books:
the author of the book (thanks for writing it!!!) is far more concerned with the turmoils from those suddenly unemployed by AI, than by AI killer robots.
(the user might be able to find the ebook somewhere in the fast internet universe)
related links:
https://dwaves.de/category/ai-artificialintelligence/
what can the user learn?
of course the winning-team is = human + machine
the AlphaGo documentary teaches many things:
- machines learn from humans – and – humans – in theory – can learn from “creative” machines – but – it is illusionary to think, just because a computer can calculate fast – the human will learn also to calculate fast – that is not how it works – but deep learning AI can come up with new “creative” solutions that no other human would have ever come up with, because humans are not pure math.
- like this:
- as can be seen here, an CAD talented AI program at Airbus came up with a very “organic” structure for the optimal airplane interior wall
- this does not mean – an AutoCAD AI can come up with a complete new design for “the optimal” airplane – but given enough data sets from measurements of breaking points – it can come up with such organic solutions.
- problem: to produce such organic structures 3D printing metal might be the way to go, or the solution will have to be reduced in complexity so that a “regular” assembly line can actually produce it.
what does Airbus say about AI?
“Shaping our business through artificial intelligence”
“Airbus focuses on six technical areas relating to AI that will shape our business over the next five years:
- Knowledge extraction: Extracting value from unstructured documents,
- Computer vision: Transforming images and video into objects and activities based on deep-learning detection and decision-making,
- Anomaly detection: Finding hidden patterns in data,
- Conversational assistance: Designing natural language-interaction systems,
- Decision-making: Optimizing solutions for very complex constrained problems,
- Autonomous flight: Enabling the next generation of aerial vehicles with new capabilities.
src: https://www.airbus.com/en/innovation/industry-4-0/artificial-intelligence
so AlphaGo is not Open Source but…
a logical step would have been – to let the public play AlphaGo on some publicly accessible website, making AlphaGo learn and become better and better and humans (hopefully) too.
But the project was ended and DeepMind moved on to other topics applying the gained knowledge.
from AlphaGo to AlphaGo Zero to AlphaZero
“How to build your own AlphaZero AI using Python and Keras”
going crazy with theories
- let’s assume Google is 5 years ahead in AI compared to the competition
- let’s assume military & secret services are 5 years ahead of Google
- of course both do not open source their findings
- of course both will use their findings to their advantage
- what would they – probably – do with such powers?
- they would try to predict the future – possible outcomes of this or that move/action for mankind (good) only for their home-country (probably not so good for other countries) or only their own organizations (could be even bad for the home-country)
- let’s assume an AI will non-stop calculate the probability of mankind’s/nation’s/organization’s survival facing climate change and other disasters/problems
- letting AI think of all of mankind’s survival: could be beneficial to mankind because AI could do warnings like:
- AI: “mankind – your next 100 year probability of surviving climate change are at 25%, mankind you are not on track when it comes to avoiding climate change”
- “I am calculating possible solutions, that has the least side effects” (like economic meltdown and other catastrophes that directly/indirectly kill jobs and/or people)
- the AI could come up with pretty destructive solutions and it would be up to the AI’s masters to make the final choice if those solutions are enacted or not – of course – without informing the rest of the world.
- AI: “mankind – your next 100 year probability of surviving climate change are at 25%, mankind you are not on track when it comes to avoiding climate change”
- let imagination go wild…
- letting AI think of all of mankind’s survival: could be beneficial to mankind because AI could do warnings like:
related videos:
run the search: Google and AI what can go wrong
related links:
SuperMicro computer makes it repeatedly into the top list of fastest per watt SuperComputers, the Green500.
https://illumin.usc.edu/ai-behind-alphago-machine-learning-and-neural-network/
#linux #gnu #gnulinux #opensource #administration #sysops #ai #elon #alphago #google #alphabet #china #sputnik #sedol #deepmind #go #handol #artificialintelligence #artificial #intelligence
Originally posted at: https://dwaves.de/2021/12/24/the-rise-of-ai-the-go-match-that-sparked-chinas-ai-frenzy/
Ahoy folks,
I’m an just an #undergraduate #student of #physics, trying to set myself up to flirt with #astrophysics, with a weakness for and in #blackholes, though occassionaly ogling at her sister, #cosmology, but again pulled back to stare at #quasars through only my minds eye. Did I mention that I am #newhere? If not then, I should also mention that #instrumentation and #electronics too share alarge bit of my metaphorical heart, and I just love #interfacing; what's better, than to connect physical reality to a beast a.k.a a #computer? Well #micro-controllers? I just started using an #arduino, actually an #arduinouno ( #arduinounor3 ), currently learning programing and using it for small, if not infinitesimally small, if you can call them that is, #electronicsprojects; I will soon push myself to use an #expeyes. Yeah, #microcontrollers interest me, but, as much as do #microprocessors, #8085 being one, with which I've played a little, though only through simulations. I needn't shy away from stating that I love #programing, having some knowledge in #C, #C++, #java, a little bit of #fortran. I'm learning to #code or #script, whichever way you like, #python, rather it's newborn sibling, #python3. It's no need to say that my #operatingsystem of choice, use and love is a of course, a popular distribution of #linux, i.e. #xubuntu; #xfce is my and my PC's best bond of love, along with #bash and #zsh. I love watching #movies, especially heart-moving #warfilms, thought provoking #darkcomedies, saluted #satires, divinely appetizing #epics, #neoreals, that leave you speechless, and some more and more to come; I so love #shortfilms that I do wish to someday, #make one. Well, you may call me an amateur, but I am a #photographer, #photography, being one of my passtime passions, #astrophotography, being one of my dreams, not having been able to capture a proper one yet. I have only taken part in a few well-known #photowalks, spread through social-media.
You know, like me or not, I strongly believe in #foss, especially #fosss, being a #privacy and #security concerned person, if not a #customization freak, an embryo of a #hacker and of course a #linuxlover. If that seems a bit commonplace, well it is, then I also happen to be a fan of a #marsrover; ah! #mars or Jasoom, call it what may, it's lovely. But lovelier are the #rovers that graze on it's surface. I so wish that I had a pet #quadcopter alongside my late pet #cat. Cool is the only word I can have for #robots; ah! #robotics, what a sweet art art thou. Though a little sweeter would be #cognition, whose daughter #ai is a sweet child, I wish was mine. Can #intelligence be #artificial? Or is it just another #random #oxymoron, that a #language is filled with, that #linguistics deals with? Or maybe I'm just writing a #microtale. But then, #microtales are so lovely. Be it in #english or #bengali, rather #bangla, or #hindi or #german; though for #deutsch I still need a dictionary. At least #scrabble and #hangman are still in english for me. But yes, I just happened to fall in love with #html5 and #markdown.