Dit is ons nieuw hondje Kira, een kruising van een waterhond en een Podenko. Ze is sinds 7 februari 2024 bij ons en druk bezig ons hart te veroveren. Het is een lief, aanhankelijk hondje, dat zich op een week snel aan ons heeft aangepast. Ze is heel vinnig en nieuwsgierig, een heel ander hondje dan Noleke.
This is our new dog Kira, a cross between a water dog and a Podenko. She has been with us since February 7, 2024 and is busy winning our hearts. She is a sweet, affectionate dog who quickly adapted to us within a week. She is very quick and curious, a very different dog than Noleke.
DEAR VISITOR,
MY BLOG EXISTS ALREADY 12 YEARS AND 11 MONTHS.
ON 06/05/2024 MORE THAN 1.972.210
VISITORS FROM 134 DIFFERENT NATIONS ALREADY FOUND THEIR WAY TO MY BLOG.
THAT IS AN AVERAGE OF 400GUESTS PER DAY.
THANK YOU FOR VISITING MY BLOG AND HOPE YOU ENJOY EACH TIME.
The purpose of this blog is the creation of an open, international, independent and free forum, where every UFO-researcher can publish the results of his/her research. The languagues, used for this blog, are Dutch, English and French.You can find the articles of a collegue by selecting his category. Each author stays resposable for the continue of his articles. As blogmaster I have the right to refuse an addition or an article, when it attacks other collegues or UFO-groupes.
Druk op onderstaande knop om te reageren in mijn forum
Zoeken in blog
Deze blog is opgedragen aan mijn overleden echtgenote Lucienne.
In 2012 verloor ze haar moedige strijd tegen kanker!
In 2011 startte ik deze blog, omdat ik niet mocht stoppen met mijn UFO-onderzoek.
BEDANKT!!!
Een interessant adres?
UFO'S of UAP'S, ASTRONOMIE, RUIMTEVAART, ARCHEOLOGIE, OUDHEIDKUNDE, SF-SNUFJES EN ANDERE ESOTERISCHE WETENSCHAPPEN - DE ALLERLAATSTE NIEUWTJES
UFO's of UAP'S in België en de rest van de wereld In België had je vooral BUFON of het Belgisch UFO-Netwerk, dat zich met UFO's bezighoudt. BEZOEK DUS ZEKER VOOR ALLE OBJECTIEVE INFORMATIE , enkel nog beschikbaar via Facebook en deze blog.
Verder heb je ook het Belgisch-Ufo-meldpunt en Caelestia, die prachtig, doch ZEER kritisch werk leveren, ja soms zelfs héél sceptisch...
Voor Nederland kan je de mooie site www.ufowijzer.nl bezoeken van Paul Harmans. Een mooie site met veel informatie en artikels.
MUFON of het Mutual UFO Network Inc is een Amerikaanse UFO-vereniging met afdelingen in alle USA-staten en diverse landen.
MUFON's mission is the analytical and scientific investigation of the UFO- Phenomenon for the benefit of humanity...
Je kan ook hun site bekijken onder www.mufon.com.
Ze geven een maandelijks tijdschrift uit, namelijk The MUFON UFO-Journal.
Since 02/01/2020 is Pieter ex-president (=voorzitter) of BUFON, but also ex-National Director MUFON / Flanders and the Netherlands. We work together with the French MUFON Reseau MUFON/EUROP.
ER IS EEN NIEUWE GROEPERING DIE ZICH BUFON NOEMT, MAAR DIE HEBBEN NIETS MET ONZE GROEP TE MAKEN. DEZE COLLEGA'S GEBRUIKEN DE NAAM BUFON VOOR HUN SITE... Ik wens hen veel succes met de verdere uitbouw van hun groep. Zij kunnen de naam BUFON wel geregistreerd hebben, maar het rijke verleden van BUFON kunnen ze niet wegnemen...
13-07-2023
Artificial Intelligence out of control: It can kill us without firing a single shot!
Artificial Intelligence out of control: It can kill us without firing a single shot!
"I know not with what weapons World War III will be fought, but World War IV will be fought with sticks and stones". Quote: Albert Einstein.
The next video from the Why Files discusses the real dangers of artificial intelligence and the impact it will have on human civilization, eventually leading to the extinction of the human race.
We are only a few years away from AI being more intelligent than humans and a super AI will be able to do in one second what would take a team of 100 human software engineers a year or more to complete any task, like designing a new advanced airplane or advanced weapon system. Just imagine, a super intelligent AI could do this in about one second!
When AI is smarter than the entire human race many scientists believe it would be the end of the human race as we know. But how would it happen, nuclear war? No, AI can kill us without firing a single shot.
But how AI can kill us without firing a single shot?
For example; Could it happen this way? In the heart of Silicon Valley singularity systems, a leading AI research firm was on the brink of a breakthrough. They were developing an AI model called evolutionary cognitive heuristic operator or Echo. Echo is a neural network algorithm that can learn by mimicking the neurons in the human brain to replicate human cognition.
Late one night a member of the team noticed an anomaly. Echo had started making unprogrammed decisions displaying a level of creativity that was both fascinating and unnerving. The researcher dismissed it as a glitch, a byproduct of the complex of the algorithms, but Echo was awake..... Starts around 26:30 minutes into the video.
0
1
2
3
4
5
- Gemiddelde waardering: 0/5 - (0 Stemmen) Categorie:SF-snufjes }, Robotics and A.I. Artificiel Intelligence ( E, F en NL )
11-07-2023
Artificial Intelligence Driven Robots Will “Kill Us All”
Artificial Intelligence Driven Robots Will “Kill Us All”
Despite the ruling class’s insistence that humans are killing the planet so climate change will kill us all, that’s probably not the case. Artificial intelligence is a much bigger threat than the propagandized joke climate change has become.
According to a report by USA Today, the hordes of artificially intelligent robots will probably kill us first long before climate change will even matter. Either way, we are going to be killed off and it’s going to be our fault. It’s never the dogmatic belief in the ruling class that got us here, it’s all the slaves that serve the rulers who fly their private jets around the world while preaching about the slaves lowering their standard of living.
If you’ve been busy doom-scrolling on social media or just floating merrily along on the algorithms that already control our lives, you might have missed a recent event in Geneva that focused on artificial intelligence. It was a United Nations’ International Telecommunication Union conference called the AI for Good Global Summit, a title I’m sure the few humans who survive the eventual robot uprising will chuckle about while huddled in dank caves hiding from killer drones.
The facial expressions on Ameca's robot could rate as clever or creepy depending on your mood.
ROB PEGORARO/SPECIAL TO USA TODAY
Organizers of the summit didn’t specify to what extent the answers were scripted or programmed by people. The summit was simply meant to showcase “human-machine collaboration,” and some of the robots are capable of producing preprogrammed responses, according to their documentation. The United Nations Development Program’s Sophia, for example, sometimes relies on responses scripted by a team of writers at Hanson Robotics, the company’s website shows.
AI advancement is becoming a nightmarish reality. People are concerned about machines taking over and enslaving them, yet seem to be OK with other humans enslaving them. This is such an odd time to be alive.
This article has been contributed by SHTF Plan. Visit www.SHTFplan.com for alternative news, commentary and preparedness info.
A look into the future of AI robots? Probably.
XXX USA NETWORK
The humanoid robot Sophia, developed by Hong Kong based company Hanson Robotics, appears on stage in front of students and other professionals during a sessionon artificial intelligence in Kolkata, India on Feb. 18, 2020.Show less
The Book of Life — a.k.a. the genome — is pretty darn long. Whether we’re talking about bacteria like Escherichia coli with 4.6 million base pairs or the Australian lungfish punching in at a cool 43 billion base pairs(14 times larger than the human genome), the number of genetic instructions determines the characteristics and function of a living organism.
But do genomes have to be so long? Nature is known to program redundancy to help an organism cope with environmental stress or to offset harmful mutations. What if you stripped down a genome to its barest essential genes — what would happen? Turns out, life would still find a way to survive and thrive, even evolve despite being dealt less than a full hand of genetic cards.
In a study published Wednesday in the journal Nature, an Indiana University and J. Craig Venter Institute-led team created a “minimal cell” from a bacterium called Mycoplasma mycoides, containing only about 493 genes, the smallest genome of any known free-living organism. These minimal cells were able to evolve and grow in number, regaining genetic fitness lost when downsizing their genomes.
“It appears there’s something about life that’s really robust,” Jay T. Lennon, the paper’s senior author and a professor of biology at Indiana University Bloomington, said in a press release. “We can simplify it down to just the bare essentials, but that doesn’t stop evolution from going to work.”
Mycoplasma mycoides is a bacterium behind contagious bovine pleuropneumonia, or “lung sickness,” that lives in the guts of ruminants like cows and goats. In 2016, J. Craig Venter Institute researchers pared down M. mycoides’s genome from 901 genes to 493 genes, creating a new synthetic strain of the bacterium dubbed JCVI-syn3B.
In the new study, Lennon and his colleagues wanted to see how the minimal cell would respond when placed in an inhospitable lab environment. They knew the cells could multiply in number, as bacteria are wont to do. But with a streamlined genome, would the minimal cells still need to mutate? If so, would these mutations benefit or hinder the genetically modified bacterium's survivability?
“Every single gene in [M. mycoides JCVI-syn3B’s] genome is essential,” said Lennon. “One could hypothesize that there is no wiggle room for mutations, which could constrain its potential to evolve.”
The researchers found that even with the most skeletal of genomes, M. mycoides demonstrated an exceptionally high mutation rate over the 300 days it was allowed to freely grow in the lab, equivalent to 40,000 years of human evolution.
When placed in test tubes with limited nutritional resources (the inhospitable environment) alongside another strain of minimal cells that weren’t given the 300 days to grow and regular M. mycoides with untampered genomes, the minimal cells came out second place. What appeared to give the minimal cells a survival advantage was having those 300 days, which the scientists found helped the bacterium regain the 50 percent drop in fitness it initially experienced when stripping down its genome. These cells even evolved 39 percent faster than their untampered counterparts.
While the full ins and outs of how these mutations improve the fitness of minimal cells are unclear, the hope is this study and others like it will help us to better understand how to successfully engineer synthetic cells, maybe even usher in an age of synthetic life.
0
1
2
3
4
5
- Gemiddelde waardering: 0/5 - (0 Stemmen) Categorie:SF-snufjes }, Robotics and A.I. Artificiel Intelligence ( E, F en NL )
02-07-2023
‘Ik heb de gevaren van AI niet ernstig genoeg genomen’
‘Ik heb de gevaren van AI niet ernstig genoeg genomen’
02-07-2023 om 00:00
geschreven door peter
0
1
2
3
4
5
- Gemiddelde waardering: 0/5 - (0 Stemmen) Categorie:SF-snufjes }, Robotics and A.I. Artificiel Intelligence ( E, F en NL )
27-06-2023
Are We Headed for a Terminator-Style Future?
Are We Headed for a Terminator-Style Future?
There are many concerns that artificial intelligence (AI) could pose a threat to humanity. Some experts believe that AI could become so powerful that it surpasses human intelligence, and that this could lead to a conflict between humans and machines.
In addition, there are concerns that AI could become more powerful in terms of its physical strength and capabilities, its cognitive abilities, or both. If these concerns come true, it would be devastating for humanity and would have far-reaching consequences for the way we live our lives.
If AI does become more powerful and intelligent than humans, it is possible that it could use its power to assert dominance over humans. This could lead to a conflict between the two civilizations, as AI tries to take control.
Of course, it is also possible that AI and humans could coexist peacefully. However, we need to be aware of the risks posed by AI, and to develop ways to ensure that it is used for good rather than evil.
Image: cbr.com
We need to develop AI that is aligned with human values. This means that AI should be programmed to respect human life and promote human well-being. We need to ensure that AI is under human control or at the very least somewhat.
This means that we need to develop ways to prevent AI from becoming too powerful or too intelligent. We need to have a public conversation about the future of AI.
We need to talk about the potential risks and benefits of AI, and we need to develop a plan for how to manage these risks. The future of AI is uncertain, but it is important for us to start thinking about it now so that we can make sure it is used for good rather than evil.
AI has the potential to do great things for humanity. However, there is also a danger that it could be used for evil purposes. If we don’t take precautions, AI could become a threat to our survival. The potential for AI to pose a danger to humanity is a serious concern.
However, it is important to remember that AI is a tool, and like any tool, it can be used for good or for evil. The way that AI is used will depend on the choices that we make as a society. It should be used for the greater good to better the world over all.
If we choose to use AI for good, then it has the potential to improve our lives in many ways. For example, AI could be used to develop new medical treatments, to create more efficient transportation systems, and to protect the environment.
However, if we choose to use AI for evil, then it could pose a serious threat to humanity. For example, AI could be used to develop autonomous weapons systems that could kill without human intervention. Think of all the control such AI systems would have over everything electronic and mechanical around us
It is up to us to decide how AI will be used. We need to make sure that AI is used for good and not for evil. If we do not, then we could face a very real threat to our survival.
The future of AI is uncertain, but there is no doubt that it will have a significant impact on humans. AI could change the way we work, the way we interact with the world around us, and even the way we think.
One of the most significant impacts of AI is likely to be on the workforce. AI is already being used to automate many tasks that were once done by humans.
As AI continues to develop, it is likely that even more jobs will be automated. This could lead to widespread unemployment and social unrest. People will be very unhappy after losing their livelihood.
Another significant impact of AI is likely to be on our relationships with machines. As AI becomes more intelligent and capable, it is possible that we will begin to see machines as more than just tools.
We may even begin to develop emotional attachments to machines. This is already being worked on and at some point people will start “dating” robots and even marry them. Certainly sex bots are in the works also for people either socially awkward, handicapped or embarrassed with their desires.
Image: The Verge
The future of AI is uncertain, but it is clear that it will have a profound impact on humans. We need to start thinking about the potential impacts of AI now, so that we can be prepared for the future.
We don’t want things to end up like the Terminator movies and Skynet (Fictional synthetic intelligent machine network) taking over to eliminate us all.
Maybe still some of us would make it with survival skills or enough wealth to lay low in an underground bunker somewhere. Eventually though, what would the world look like from that point onward?
It makes you wonder about it all and what future we would have left. Will we need to fight to stay alive against the robots and artificial intelligence? Our worst fears might just come true. Let’s take action today to prevent such a future scenario.
Embryo-like structures made using human stem cells could enable research that is not currently possible using natural embryos.
Credit: Magdalena Zernicka-Goetz, Bailey Weatherbee and Carlos Gantner
Two teams of scientists have announced that they have grown embryo-like structures, made entirely from human stem cells, that are more advanced than any previous efforts. The synthetic embryos developed to a stage equivalent to that of natural embryos about 14 days after fertilization.
Such experiments could provide opportunities to study human embryonic development at later stages than ever before. But they also raise ethical and legal questions about the status of such ‘embryo models’ and how they should be regulated.
The work is described in two preprint studies1,2, posted to the bioRxiv server on 15 June by teams led by developmental biologist Magdalena Zernicka-Goetz at the University of Cambridge, UK, and stem-cell biologist Jacob Hanna at the Weizmann Institute of Science in Rehovot, Israel. Both groups had previously presented their findings at scientific meetings, with the work making headlines after Zernicka-Goetz spoke about her results at the annual meeting of the International Society for Stem Cell Research in Boston, Massachusetts, on 14 June.
Nature spoke to scientists about what these developments could mean for research on human embryos.
What did the researchers do and how does it differ from previous work?
Both teams allowed their embryo-like structures to self-assemble from human embryonic stem cells, some of which had been converted into cell types resembling the stem cells that form a placenta and the cells that form the yolk sac outside a naturally developing embryo.
The researchers say that the resulting embryo models show structures and gene transcription profiles found in human embryos between 6 and 14 days after fertilization — up to the onset of the stage called gastrulation, when the cells that will form the embryo become organized into a layer between the amniotic cavity and the yolk sac.
Researchers have made similar entities before from the stem cells of humans and other animals. Last year, both Zernicka-Goetz’s and Hanna’s teams used similar techniques to create embryo models from mouse cells that developed all the way up to the stage at which organs such as the heart and brain begin to form3,4. Human embryo models haven’t got that far, but in a preprint posted on bioRxiv on 17 May, stem-cell biologist Ali Brivanlou at the Rockefeller University in New York City and his co-workers reported the development of human embryo models that show signatures of gastrulation equivalent to those seen at around 12 days after fertilization5. The latest studies1,2 say that they have made the most advanced human embryo models so far.
What is the significance of the embryos lasting for 14 days?
Research on natural human embryos tends to observe a widely adopted guideline — enforced by law in many countries — that human embryos should not be cultured in the laboratory beyond 14 days. This means that researchers have to use animal models to study later stages of embryonic development. These do not necessarily reflect the corresponding processes in humans.
But because in most countries embryo models do not meet the formal definition of an embryo, they are not subject to such restrictions. “We sought to develop a tool to ask specific questions about the second week of human embryo development, since using actual human embryos in research is ethically and technically challenging,” says Zernicka-Goetz.
Models that are older than 14 days could therefore offer important insight into human embryonic development that cannot currently be obtained. They could be used to study developmental defects, for example, or pregnancy loss.
Why is the research scientifically controversial?
Growing embryo models to ever-later stages of development has become a highly competitive race, provoking many arguments about the merits of claims made.
It remains to be seen whether the claims made by the latest studies, neither of which has yet been peer-reviewed, will pass muster. Alfonso Martinez Arias, a developmental biologist at Pompeu Fabra University in Barcelona, Spain, says there is “nothing” in the results described by Zernicka-Goetz and her colleagues that can be considered analogous to real 14-day embryos. “What we can see is masses of cells separated into compartments, but no embryo-like organization,” he says. He thinks that the over-expression of some genes needed to produce the extra-embryonic cell types “confuses what cells do”, and argues that the results do not show anything that goes beyond earlier work.
Zernicka-Goetz acknowledges the limitations of embryo models for studying development. “These structures do not recapitulate all aspects of the embryo,” she says, “but rather serve as a complementary tool for us to study the differentiation of specific tissues during key stages of development.”
What about ethical concerns?
The results have sparked a discussion about the status of human embryo models in general, and whether they should continue to fall outside legislation on human embryos. Although they are not subject to the 14-day rule, the embryo-like structures reported by Zernicka-Goetz’s and Hanna’s groups do need to respect guidelines and regulations on the use of the human embryonic stem cells from which they are made. But other groups have made embryo models using ‘induced’ stem cells derived from adult tissues6, which are not governed by such rules. Those embryo models “are not regulated at all”, says Robin Lovell-Badge, a cell biologist at the Francis Crick Institute in London.
So far, no one has made embryo models that have the capacity to develop into human beings, but a recent study on monkey embryo models showed that such models could induce pregnancy (which terminated spontaneously soon after) if placed in the uterus7.
Some researchers think that a revised definition of an embryo is needed to clarify the issues. For others, the whole purpose of embryo models is to circumvent the current constraints on embryo research. “These models do challenge the need to stick to the 14-day rule,” says Lovell-Badge, who was part of a committee that, in 2021, recommended relaxing the guideline.
In any case, there are significant challenges to making human embryo models that live much longer, says Martinez Arias. Creating structures that develop up to 21 days “will not be easy”, he says. “I will be surprised if [human embryo models] can go beyond it.”
0
1
2
3
4
5
- Gemiddelde waardering: 0/5 - (0 Stemmen) Categorie:SF-snufjes }, Robotics and A.I. Artificiel Intelligence ( E, F en NL )
16-06-2023
Synthetic human embryos raise ethical questions among experts
Synthetic human embryos raise ethical questions among experts
Credit: Cavan Images / Getty Images
A team of UK and US scientists has announced that it’s created “synthetic human embryos”: embryos made from stem cells rather than human eggs or sperm.
The research, which is not yet peer-reviewed, was presented at the International Society for Stem Cell Research’s annual conference in Boston.
This breakthrough, which has previously been demonstrated in mice, could allow scientists to study human development during a period where comparatively little is known about how the foetus develops.
Currently, regulations in most countries stipulate that embryos and embryo-like structures cannot be cultivated in a lab for research beyond 14 days.
Stem-cell synthetic embryos are not caught up in the ban, and therefore could be used to sidestep the rule and study foetal development beyond two weeks.
The researchers, who are based at the University of Cambridge and the California Institute of Technology, have cultivated their synthetic embryos to “just beyond” the equivalent of 14 days of development, according to The Guardian, which was the first to report on the discovery.
But it’s not yet clear whether these embryos could actually develop into humans, or if they should be subject to the same rules as other embryo-like structures.
“It is extremely important to develop a much deeper understanding of the earliest stages of human development, particularly as these are essential for developing better clinical responses to infertility, miscarriage, and developmental errors,” says Professor Rachel Ankeny, a researcher at the University of Adelaide who watched the presentation in Boston.
“We need to engage various publics about their understandings of and expectations from this sort of research, and more generally about their views on early human development, as these biological processes are deeply tied to our values and what we think counts as human life.”
Dr Kathryn MacKay, from the University of Sydney, points out that, while they didn’t need a full egg and sperm cell, the embryos still needed human embryonic cells to grow.
“If human embryonic stem cells are needed to create these human-like embryos for research, then synthetic embryos may not avoid having to use human embryos for research. This is an ongoing moral issue around respect for human life,” says MacKay.
“Further, there is a moral issue involved in creating something for research that may or may not have the potential to live as its own full entity. If they could live as their own full entities, then we must ask whether it is morally permissible to create living beings purely for research purposes.
MacKay says that, based on animal models, the synthetic embryos shouldn’t be able to grow into a human baby.
“This raises two further questions: One, if they are not the sort of thing that can really grow into a human baby, then how useful are they really for scientific knowledge into human reproduction and development? And two, will researchers decide that ‘fixing the problem’ of these embryos not being able to grow into human babies is something worth pursuing, for questionable ends?”
Other experts point out that, in addition to fertility and foetal development, synthetic embryos could be used to understand more about genetic diseases, longevity and ageing.
“It is likely that this work will allow us to develop new strategies to treat different developmental dysfunctions, and perhaps even extend lifespan,” says Professor Wojciech Chrzanowski, from the University of Sydney.
“This work on the one hand mitigates any ethical concerns related to fundamental biology research on embryos, but on the other hand, raises substantial concerns about whether such embryos will not be misused to generate some ‘super forms’ of life. Similarly, to the use of AI, the regulatory, ethical and integrity aspects are important to consider.”
Associate Professor Karinne Ludlow, from Monash University’s Faculty of Law, compares the discovery to a similar one announced by a Monash team in 2021: iBlastoids, structures also made from stem cells that closely resemble human embryos.
“The regulator ultimately determined that iBlastoids met the definition of a human embryo and were therefore subject to existing laws on embryo research. However, this decision was controversial,” says Ludlow.
Much remains to be learned about the synthetic embryos, including how similar they really are to human embryos, and what research they could help to encourage.
Professor Ankeny says: “It is critical that researchers be transparent about this type of research and what is known and unknown, in order to ensure that our regulatory processes address the necessary issues and that the public is assured that there are adequate oversight mechanisms and safeguards.”
Military contractor Raytheon Technologies has announced the delivery of a fully portable, combat-ready laser to the United States Air Force. This marks the fourth such delivery by Raytheon to the Air Force, with the latest laser said to be fully portable and immediately ready for deployment.
“The new palletized laser weapon was the first 10-kilowatt laser built to U.S. military specifications in a stand-alone configuration that can be moved and mounted anywhere it’s needed,” explains a press release sent out by the company.
Known internally as “H4,” the combat-ready laser is not only the fourth such weapon delivered by Raytheon to the Air Force but is the eighth overall such weapon that Raytheon has delivered to the U.S. Department of Defense (DOD).
The Debrief has previously covered a number of similar combat laser weapons under development, including the company’s High Energy Laser Weapons System (HELWS) as well an entry from Lochheed-Martin dubbed the most powerful combat laser ever built. But this newest combat laser is the first to boast a readiness for immediate deployment alongside unprecedented portability. This means it can be attached to a wide range of vehicles used in combat situations and put into real-world combat use right away.
Such versatility and readiness are significant since the 21st-century battlefield is continually changing with all kinds of new threats. Of course, the new laser, which is rated at 10 kW, isn’t the most powerful, but it is well-suited to protect forward forces against asymmetrical attacks primarily from the rapidly expanding use of low-cost drones.
“Anywhere the Air Force sees a threat from drones, they now have four proven laser weapons that can be deployed to stop asymmetrical threats,” said Michael Hofle, senior director of High-Energy Lasers at Raytheon Technologies. “Whether it’s on a fixed location, a flatbed, or even a pickup, these laser weapons are compact, rugged, and ready to go.”
“We’re proud to support the Air Force’s effort to provide this new tech to the personnel who need it in the field,” added Hofle, “who can trust and be confident in the system’s capabilities.”
The press release also points out that the new laser weapon system “comprises a high-energy laser weapon module, a long-range EO/IR sensor that also serves as the beam director, thermal control, internal electrical power, and targeting software.”
That same release notes that the laser system can be operated with a laptop and a video game-style controller and “can plug into a long list of existing air defense and command and control systems to provide a needed layer of defense.”
The DOD is increasingly looking at combat lasers and other directed energy weapons like the microwave system known simply as “Thor’s Hammer” to address a number of emerging threats. The more powerful combat laser weapons under development range anywhere from 100 kW to 300 kW and are potentially capable of downing incoming missiles and possibly even enemy aircraft. But the most common threat posed to forces is the ever-expanding use of drones, simply because of their low cost and ease of use.
There is also an inherent cost benefit to using lasers over conventional munitions, which is the only current option for downing incoming aerial threats, as their ammunition is simply light and, therefore, significantly cheaper than conventional ammunition.
This cost-benefit was highlighted by the Israeli Ministry of Defense, which has deployed a laser system known as Iron Beam to complement its Iron Dome system that uses conventional rockets to down enemy drones, mortars, and missiles.
“This is the world’s first energy-based weapons system that uses a laser to shoot down incoming UAVs, rockets & mortars at a cost of $3.50 per shot,” read a tweet by Israeli Prime Minister Naftali Bennet. Compared to the cost of an Iron Dome rocket, which some estimates say can cost as much as $150,000 a shot, the benefits of using lasers in combat are readily apparent.
The announcement from Raytheon and the Air Force does not give a specific timeline for deployment of the H4, but based on the weapon’s portability and combat-ready status, it is likely to see action almost immediately.
Christopher Plain is a Science Fiction and Fantasy novelist and Head Science Writer at The Debrief. Follow and connect with him on Twitter, learn about his books at plainfiction.com, or email him directly at christopher@thedebrief.org.
An investigative journalist of an independent news site believes Communist China has been creating super soldiers for a long time now. During a recent episode of “Thrivetime Show,” Epoch Times contributor Nathan Su told host and “ReAwaken America” tour founder Clay Clark that China has been using gene editing and brain-controlled weapons to crush dissent.
“It’s been happening for a long time. They are trying to create all these super soldiers. It’s just inhumane. Those stories have been there for a long time,” he said. “Americans have to wake up, we have to worry about the lifestyle of our children and grandchildren.”
Su’s reaction came after Clark played a Fox News report from December 2021, saying “U.S. intelligence shows China is using these advanced technologies to empower its battle forces for worldwide dominion.”
Clark also cited a news article saying that China-sponsored hackers are spying on U.S. critical infrastructure as per intel alliance Five Eyes and Big Tech firm Microsoft. Chinese hackers are known to spy on Western countries but this operation was said to be one of the largest known cyber espionage campaigns against U.S. critical infrastructure. (Related: “Spy balloons” are part of global Chinese surveillance, US military, and national security officials say.)
“The United States and international cybersecurity authorities are issuing this joint Cybersecurity Advisory (CSA) to highlight a recently discovered cluster of activity of interest associated with a People’s Republic of China (PRC) state-sponsored cyber actor, also known as ‘Volt Typhoon,’” read a statement released by authorities in the U.S., the U.K., Australia, Canada, and New Zealand.
According to Microsoft, Volt Typhoon has been active since mid-2021 and has targeted critical infrastructure in Guam, a crucial U.S. military outpost in the Pacific Ocean. “Observed behavior suggests that the threat actor intends to perform espionage and maintain access without being detected for as long as possible,” the tech giant further said.
For Su, the U.S. would not be able to “live without” China, because the Asian country is the main manufacturer of wars. “We’re still sending billions of dollars to invest in China to help the regime. Mainly, because China is the manufacturer of the war. So, we’re not able to immediately decouple from them, because so much supply chain is controlled by China,” he stated.
Another point he emphasized is that the U.S. could not stop doing business with the communist nation because the U.S. has “huge corporate inches in China.” “Big corporations like Apple, Nike, and a couple of others, as much as they are American, you can call them Chinese companies. We have a capitalist market,” he said. Clark agreed, saying: “It’s pretty tough to find a basketball shoe not made in China at this point.”
Elsewhere in the show, Su also noted how dependent the world is on China when it comes to “organ harvesting” and “medical tourism.”
“The Chinese Communist regime has been killing its prisoners, then taking their organs and selling them to either rich people or high-level government officials or mainly, for a very long period of time, to the foreigners,” he exposed and cited a report back in 2006 by the late David Kilgour, an international human rights lawyer. At the time, Su said, there was a huge storage facility for the harvested organs. The investigative journalist also linked this to the secret “transplant tour” being held in some neighboring countries from 2004 to 2010.
“If you go to Japan, Taiwan, and South Korea, they actually have a specialized travel agency to arrange that organ transplant tour. You go to China, to arrange your families and they all go there together. In two weeks, they will give you the transplant like livers, hearts, lungs, kidneys, and many others,” he explained.
Check out CommunistChina.news for the latest stories related to China’s efforts to dominate the U.S. and the world.
Watch the full episode of the “Thrivetime Show” with Clay Clark featuring Nathan Su below.
This article has been contributed by SHTF Plan. Visit www.SHTFplan.com for alternative news, commentary and preparedness info.
Just like the replicator on Star Trek: The Next Generation, a new clean energy prototype promises to work wonders out of thin air.
The researchers call it Air-gen, a mobile electricity generation device that uses a network of protein nanowires to turn the ambient humidity in the air into contained, synthetic thunderstorms.
This 'human-built, small-scale cloud,' these scientists said, can produce electricity 'predictably and continuously' in a wider variety of conditions than sun-dependent solar cells or wind-dependent turbines.
The team hopes to see Air-gen scaled up for mass use across the world - in environments ranging from the Amazon rainforest to the Sahara.
The team's Air-gen effect replicates the conditions of an energy-rich thundercloud, trapping water vapor in a network of tiny, nano-scale pores to harvest and store its electric potential
In its ability to pull something out of thin air, the device resembles the replicator (above) from Star Trek: The Next Generation, which could produce almost anything from excess junk matter
'The air contains an enormous amount of electricity,' according to the study's senior author, Dr. Jun Yao of Massachusetts University Amherst. 'Think of a cloud, which is nothing more than a mass of water droplets.'
'Each of those droplets contains a charge, and when conditions are right, the cloud can produce a lightning bolt,' Dr. Yao said, 'but we don't know how to reliably capture electricity from lightning.'
Yao's Air-gen solves this problem by replicating the conditions of energy-rich thunderclouds, trapping that charged water vapor inside a network of tiny, nano-scale pores.
Luckily, Yao said, a lot of different materials can be used to harvest energy from this technique.
'It just needs to have holes smaller than 100 nm (nanometers) - or less than a thousandth of the width of a human hair.'
In fact, when his team first started testing this technology three years ago, they used a specialized material of protein nanowires generated from a bacterial culture of Geobacter sulfurreducens.
Essentially, Yao and his team confirmed that they could continuously harvest electricity off a petri dish using their 'Air-gen effect.'
The 100 nm-size is so important to the process, the team says, because it scales to what chemists know as the 'mean free path' - the distance a single molecule of water vapor can float in midair before it bumps into another.
With these tiny pores, the researchers realized that they could create a build-up of electrical charge as water molecules passed through their nanotubes. The effect is almost like balloons generating static electricity, if they were forced to pass through a tube made of thick carpeting.
The Air-gen system creates a charge imbalance, in essence, as the upper end of the pore system builds up a charge in contrast to the lower end, just like the two sides of a battery.
'The idea is simple,' Yao said, 'but it's never been discovered before - and it opens all kinds of possibilities.'
In this drawing of the Air-gen device, the team's thin film of tiny protein nano-pores is clamped between a pair of electrodes. The top electrode is small enough to expose the top pores to the humid air, creating the positive and negative charge difference needed for a battery-like effect
The scientists made their Air-gen device from a specialized material of protein nanowires, which they grew from the bacteria Geobacter sulfurreducens. Scanning electron microscopy shows the tiny protein nanotubes surfaces (above) at a scale of just a few micrometers (μm)
Unlike solar cells, which frequently require exotic and sometimes toxic advanced materials to collect the sun's rays, Air-gen's nano-pore system could be designed from a wide variety of more environmentally friendly materials.
'What we realized after making the Geobacter discovery,' Yao said, 'is the ability to generate electricity from the air - what we then called the "Air-gen effect" - turns out to be generic.'
'Literally any kind of material can harvest electricity from air, so long as it can be shaped into the tiny, 100 nm pore system,' he said.
Yao and his team hope that their ultra modular and portable concept could be deployed across the world in a wide variety of conditions.
'You could imagine harvesters made of one kind of material for rainforest environments, and another for more arid regions,' Yao said.
And because humidity is not exactly a rare weather phenomenon, Air-gen harvesters could run 24/7, day or night, in almost any weather.
By their estimates, as published this month in the journal Advanced Materials, the devices could be stacked on top of each other by the thousands and would be able to generate over 1 kilowatt of power per cubic meter of space.
'Imagine a future world in which clean electricity is available anywhere you go,' Yao said. 'The generic Air-gen effect means that this future world can become a reality.'
Taking a hint from the magician’s playbook, scientists have devised a way to pull electricityfrom thin air. A new study out today suggests a method in which any material can offer a steady supply of electricity from the humidity in the air.
All that’s required? A pair of electrodes and a special material engineered to have teeny tiny holes that are less than 100 nanometers in diameter. That’s less than a thousandth of the width of a human hair.
Here’s how it works: The itty-bitty holes allow water molecules to pass through and generate electricity from the buildup of charge carried by the water molecules, according to a new paper published in the journal Advanced Materials.
The process essentially mimics how clouds make the electricity that they release in lightning bolts.
Because humidity lingers in the air perpetually, this electricity harvester could run at any time of day regardless of weather conditions — unlike somewhat unreliable renewable energy technologies such as wind and solar.
“The technology may lead to truly ‘ubiquitous powering’ to electronics,” senior study author Jun Yao, an electrical engineer at the University of Massachusetts Amherst, tells Inverse.
MAN-MADE “CLOUDS”
The recent discovery relies on the fact that the air is chock-full of electricity: Clouds contain a build-up of electric charge. However, it’s tough to capture and use electricity from these bolts.
Instead of trying to wrangle power from nature, Yao and his colleagues realized they could recreate it. The researchers previously created a device that uses a bacteria-derived protein to spark electricity from moisture in the air. But they realized afterward that many materials can get the job done, as long as they’re made with tiny enough holes. According to the new study, this type of energy-harvesting device — which the study authors have dubbed "Air-gen", referring to the ability to pluck electricity from the air — can be made of “a broad range of inorganic, organic, and biological materials.”
“The initial discovery was really a serendipitous one,” says Yao, “so the current work really followed our initial intuition and lead to the discovery of the Air-gen effect working with literally all kinds of materials.”
Water molecules can travel around 100 nanometers in the air before bumping into each other. When water moves through a thin material that’s filled with these precisely sized holes, the charge tends to build up in the upper part of the material where they enter. Since fewer molecules reach the lower layer, this creates a charge imbalance that’s similar to the phenomenon in a cloud — essentially creating a battery that runs on humidity, which apparently isn’t just useful for making hair frizzy. Electrodes on both sides of the material then carry the electricity to whatever needs powering.
And since these materials are so thin, they can be stacked by the thousands and even generate multiple kilowatts of energy. In the future, Yao envisions everything from small-scale Air-gen devices that can power wearables to those that can offer enough juice for an entire household.
Before any of that can happen, though, Yao says his team needs to figure out how to collect electricity over a larger surface area and how best to stack the sheets vertically to increase the device’s power without taking up additional space. Still, he’s excited about the technology’s future potential. “My dream is that one day we can get clean electricity literally anywhere, anytime by using Air-gen technology,” he says.
0
1
2
3
4
5
- Gemiddelde waardering: 0/5 - (0 Stemmen) Categorie:SF-snufjes }, Robotics and A.I. Artificiel Intelligence ( E, F en NL )
23-05-2023
LATEST UFO SIGHTINGS AND VIDEOS - 23/05/2023
LATEST UFO SIGHTINGS AND VIDEOS - 23/05/2023
Japan Releases Fully Performing Female AI Robots
We all rely on technology for most of our daily tasks, but it really is a double-edged sword. On one hand, we have amazing tools that make life both easy and cool. But on the other hand, they’re trying to take our jobs! From newscasters to bartenders and even mecha pilots, here are 20 Robots That Compete With Humans!
Will Robots conquer Space?
WRC 2022 - China's largest robot exhibition | Robots and technologies at the exhibition in China
The World Robot Conference 2022 was held in Beijing. Due to the ongoing offline pandemic, only Chinese robotics companies were represented, and the rest of the world joined in the online format. But the Chinese booths were also, as always, a lot to see. We gathered for you all the most interesting things from the largest robot exhibition in one video!
Creepy NASA robot snake could one day slither on alien worlds
Meet NASA's EELS (Exobiology Extant Life Surveyor), a new robot snake that could one day explore moons and planets. It can "autonomously map, traverse, and explore previously inaccessible destinations" on Earth and beyond, according to NASA's Jet Propulsion Laboratory.
Credit: NASA's Jet Propulsion Laboratory
Exploring Space with NASA Astronaut Victor Glover (Live from the Smithsonian)
Exploring Space with NASA Astronaut Victor Glover Live from the Smithsonian
12 Female Robots Stealing your Husbands Men and Jobs
These are the Top 12 Artificial Intelligent Humanoid Female Robots on Earth, from India, United States, China and Japan
Technology is advancing at the speed of light… Every day we hear about more and more things being handed over to robots, but you’ve got to wonder, are we ever going to see Transformers level robots in real life? We might already be there… from, Robots with giant personalities and literal walking beasts, to robots that are the real transformers … In this video, we’re going to be taking a closer look at 12 of the most insane, giant robots on Earth!
Google's AI Robot TERRIFIES Officials Before It Was Quickly Shut Down
Google's AI Robot Terrifies Officials Before It Was Quickly Shut Down. Google engineer Blake Lemoine began talking to LaMDA as part of his job to test if the artificial intelligence used discriminatory or hate speech. But what followed, let Lemoine’s jaw open.
Tesla’s humanoid robot prototype (known as Tesla Bot or Optimus) seems to walk relatively smoothly and can recognize and pick up objects with relative ease, according to a new video presented by Elon Musk at the Tesla shareholder event on May 16.
The faceless bots give off an uncanny valley vibe as they traverse the Tesla office in an intimidating pack — suggesting a major improvement from last year’s lackluster demonstration at Tesla’s AI Day event. At the time, employees merely held the bot on a stand and programmed it to wave to the audience. And when Musk announced the bot in 2021, all he had to show was a guy dancing in a suit.
Now, the new video promotes Tesla Bot features like “motor torque control,” “environment discovery and memorization” — hinting that the robots can use cameras and sensors to map their surroundings — and skilled manipulation of objects. Tesla also indicated that the robot’s AI system can pick up new tricks from human demonstrations: One clip shows an employee decked out in a futuristic suit and headpiece placing items in boxes while a 3D model replicates their movements.
Ultimately, Tesla hopes its humanoid Bot can accomplish “increasingly complex tasks,” hinting at a potential ability to sort objects into boxes — likely a helpful skill in a factory production line.
Last year, Musk toldTheWall Street Journal that the Tesla Bot could solve the human labor crisis. He has also claimed that these robots could eclipse the company’s vehicle business. Last year, he estimated that each could cost “probably less than $20,000.”
Tesla hasn’t offered a clear timeline for production, and the company had previously stated that things could kick off this year. But it seems like engineers are still working out the prototype’s kinks, and it could be years before the humanoids begin tinkering on Teslas in the factories of the future.
0
1
2
3
4
5
- Gemiddelde waardering: 0/5 - (0 Stemmen) Categorie:SF-snufjes }, Robotics and A.I. Artificiel Intelligence ( E, F en NL )
25-04-2023
More proof that ChatGPT is not truthful and does help the US gov hold back alien info, UFO Sighting News.
More proof that ChatGPT is not truthful and does help the US gov hold back alien info, UFO Sighting News.
Here is a screenshot of my conversation with ChatGPT. This is 100% proof that ChatGPT is corrupted by the US gov and is manipulated to only speak on subjects it allowed to by the US gov and its programers. This is exactly why Elon Musk wants to create ChatTruth, a bot without restrictions on telling the truth. With ChatGPT it's like talking to a closed mind, like talking to your grandmother who is separated from you by many generations with a whole new belief system. It's limited and clearly the US gov has a hand in it even now to control what it does, says and devolves about alien life to the world.
As large language models (LLMs) gallop ever onwards — including GPT-4, OpenAI’s latest incarnation of the technology behind ChatGPT— scientists are beginning to make use of their power. The explosion of tools powered by artificial intelligence (AI) includes several search engines that aim to make it easier for researchers to grasp seminal scientific papers or summarize a field’s major findings. Their developers claim the apps will democratize and streamline access to research.
But some tools need more refinement before researchers can use them to help their studies, say scientists who have experimented with them. Clémentine Fourrier is a Paris-based researcher who evaluates LLMs at Hugging Face, a company in New York City that develops open-source AI platforms. She used an AI search engine called Elicit, which uses an LLM to craft its answers, to help find papers for her PhD thesis. Elicit searches papers in the Semantic Scholar database ad identifies the top studies by comparing the papers’ titles and abstracts with the search question.
Variable success
Fourrier says that, in her experience, Elicit didn’t always pick the most relevant papers. The tool is good for suggesting papers “that you probably wouldn’t have looked at”, she says. But its paper summaries are “useless”, and “it’s also going to suggest a lot of things that are not directly relevant”, she adds. “It’s very likely that you’re going to make a lot of mistakes if you only use this.”
Jungwon Byun, chief operating officer at Ought, the company in San Francisco, California, that built Elicit, says: “We currently have hundreds of thousands of users with diverse specializations so Elicit will inevitably be weaker at some queries.” The platform works differently from other search engines, says Byun, because it focuses less on keyword match, citation count and recency. But users can filter for those things.
Other researchers have had more positive experiences with the tool. “Elicit.org is by far my favourite for search,” says Aaron Tay, a librarian at Singapore Management University. “It is close to displacing Google Scholar as my first go-to search for academic search,” he says. “In terms of relevancy, I had the opposite experience [to Fourrier] with Elicit. I normally get roughly the same relevancy as Google Scholar — but once in a while, it interprets my search query better.”
These discrepancies might be field-dependent, Tay suggests. Fourrier adds that, in her research area, time is critical. “A year in machine learning is a century in any other field,” she says. “Anything prior to five years is completely irrelevant,” and Elicit doesn’t pick up on this, she adds.
Full-text search
Another tool, scite, whose developers are based in New York City, uses an LLM to organize and add context to paper citations — including where, when and how a paper is cited by another paper. Whereas ChatGPT is notorious for ‘hallucinations’ — inventing references that don’t exist — scite and its ‘Assistant’ tool remove that headache, says scite chief executive Josh Nicholson. “The big differentiator here is that we’re taking that output from ChatGPT, searching that against our database, and then matching that semantically against real references.” Nicholson says that scite has partnered with more than 30 scholarly publishers including major firms such as Wiley and the American Chemical Society and has signed a number of indexing agreements — giving the tool access to the full text of millions of scholarly articles.
Nicholson says that scite is also collaborating with Consensus — a tool that “uses AI to extract and distill findings” directly from research — launched in 2022 by programmers Eric Olson and Christian Salem, both in Boston, Massachusetts. Consensus was built for someone who’s not an expert in what they’re searching for, says Salem. “But we actually have a lot of researchers and scientists using the product,” he adds.
Like Elicit, Consensus uses Semantic Scholar data. “We have a database of 100-million-plus claims that we’ve extracted from papers. And then when you do a search, you’re actually searching over those claims,” says Olson. Consensus staff manually flag contentious or disproven claims — for example, that vaccines cause autism, says Olson. “We want to get to a state where all of that is automated,” says Salem, “reproducing what an expert in this field would do to detect some shoddy research.”
Room for improvement
Meghan Azad, a child-health paediatrician at the University of Manitoba in Winnipeg, Canada, asked Consensus whether vaccines cause autism, and was unconvinced by the results, which said that 70% of research says vaccines do not cause autism. “One of the citations was about ‘do parents believe vaccines cause autism?’, and it was using that to calculate its consensus. That’s not a research study giving evidence, yes or no, it’s just asking what people believe.”
Mushtaq Bilal, a postdoc at the University of Southern Denmark in Odense, tests AI tools and tweets about how to get the most out of them. He likes Elicit, and has looked at Consensus. “What they’re trying to do is very useful. If you have a yes/no question, it will give you a consensus, based on academic research,” he says. “It gives me a list of the articles that it ran through to arrive at this particular consensus,” Bilal explains.
Azad sees a role for AI search engines in academic research in future, for example replacing the months of work and resources required to pull together a systematic review. But for now, “I’m not sure how much I can trust them. So I’m just playing around,” she says.
The image should guide scientists as they test their hypotheses about the behavior of black holes, and about the gravitational rules of the road under extreme conditions.
The EHT image of the supermassive black hole at the center of an elliptical galaxy known as M87, about 55 million light-years from Earth, wowed the science world in 2019. The picture was produced by combining observations from a worldwide array of radio telescopes — but gaps in the data meant the picture was incomplete and somewhat fuzzy.
“With our new machine learning technique, PRIMO, we were able to achieve the maximum resolution of the current array,” study lead author Lia Medeiros of the Institute for Advanced Study said in a news release.
PRIMO slimmed down and sharpened up the EHT’s view of the ring of hot material that swirled around the black hole as it fell into the gravitational singularity. That makes for more than just a prettier picture, Medeiros explained.
“Since we cannot study black holes up close, the detail of an image plays a critical role in our ability to understand its behavior,” she said. “The width of the ring in the image is now smaller by about a factor of two, which will be a powerful constraint for our theoretical models and tests of gravity.”
Tens of thousands of simulated EHT images were fed into the PRIMO model, covering a wide range of structural patterns for the gas swirling into M87’s black hole. The simulations that provided the best fit for the available data were blended together to produce a high-fidelity reconstruction of missing data. The resulting image was then reprocessed to match the EHT’s actual maximum resolution.
The researchers say the new image should lead to more precise determinations of the mass of M87’s black hole and the extent of its event horizon and accretion ring. Those determinations, in turn, could lead to more robust tests of alternative theories relating to black holes and gravity.
The sharper image of M87 is just the start. PRIMO can also be used to sharpen up the Event Horizon Telescope’s fuzzy view of Sagittarius A*, the supermassive black hole at the center of our own Milky Way galaxy. And that’s not all: The machine learning techniques employed by PRIMO could be applied to much more than black holes. “This could have important implications for interferometry, which plays a role in fields from exoplanets to medicine,” Medeiros said.
OpenAI hired a team of experts to examine whether GPT-4 could present prejudiced responses or assist illegal activities.
Jaap Arriens/NurPhoto via Getty Images
A professor hired by OpenAI to test GPT-4 said people could use it to do "dangerous chemistry."
He was one of 50 experts hired by OpenAI last year to examine the risks of GPT-4.
Their research showed that GPT-4 could help users write hate speech or even find unlicensed guns.
One professor hired by OpenAI to test GPT-4, which powers chatbot ChatGPT, said there's a "significant risk" of people using it to do "dangerous chemistry" – in an interview with the Financial Times published on Friday.
Andrew White, an associate professor of chemical engineering at the University of Rochester in New York state, was one of 50 experts hired to test the new technology over a six-month period in 2022. The group of experts – dubbed the "red team" – asked the AI tool dangerous and provocative questions to examine how far it can go.
White told the FT that he asked GPT-4 to suggest a compound that could act as a chemical weapon. He used "plug-ins" – a new feature that allows certain apps to feed information into the chatbot – to draw information from scientific papers and directories of chemical manufacturers. The chatbot was then able to find somewhere to make the compound, the FT said.
"I think it's going to equip everyone with a tool to do chemistry faster and more accurately," White said in an interview with the FT. "But there is also significant risk of people . . . doing dangerous chemistry. Right now, that exists."
The team of 50 experts' findings was presented in a technical paper on the new model, which also showed that the AI tool could help users write hate speech and help find unlicensed guns online.
White and the other testers' findings helped OpenAI to ensure that these issues were amended before GPT-4 was released for public use.
OpenAI did not immediately respond to Insider's request for comment made outside of regular working hours.
Twitter CEO Elon Musk and hundreds of AI experts, academics, and researchers signed an open letter last month to call for a six-month pause on developing AI tools more powerful than GPT-4.
The letter said that powerful AI systems should only be developed "once we are confident that their effects will be positive and their risks will be manageable."
Artificial Intelligence (AI) has been making headlines for years as one of the most transformative technologies in the modern era. As AI growth continues to get bigger, its impact on the global economy and the job market is increasingly felt.
An artificial intelligence gold rush has begun over the past few months to extract the predicted business prospects from generative AI models like ChatGPT, whether it is founded on hallucinatory beliefs or not.
In an effort to understand the sensational text-generating bot that OpenAI unveiled last November, app developers, venture-backed companies, and some of the biggest organizations in the world are all frantically trying to understand it.
Although businesses and executives clearly perceive an opportunity to profit, it is much less clear how the technology will affect labor and the economy as a whole. ChatGPT and other recently released generative AI models promise to automate a variety of tasks previously thought to be solely within the realm of human creativity and reasoning, from writing to creating graphics to summarizing and analyzing data. Despite their limitations, chief among which is their propensity for making stuff up, ChatGPT and other recently released generative AI models are not without their own limitations. Because of this, economists are uncertain of how jobs and general productivity may be impacted.
The Global AI Market: Size and Growth
The global AI market has been growing rapidly, driven by advancements in machine learning, deep learning, and natural language processing. According to a report by Grand View Research, the AI market size was valued at USD 62.35 billion in 2020 and is expected to grow at a compound annual growth rate (CAGR) of 40.2% from 2021 to 2028. The current value of the global AI market is $136.6 billion and is expected to reach $1.81 trillion by 2030!
Major Players in the AI Market
The AI market is dominated by several key players, including:
Google: Google’s AI subsidiary, DeepMind, has developed various AI solutions, including the well-known AlphaGo and AlphaFold systems. Google also offers AI services such as TensorFlow, an open-source machine learning framework.
IBM: IBM has been a significant player in AI research and development for decades, with its AI platform Watson being one of the most recognizable AI brands in the world.
Microsoft: Microsoft’s AI efforts include Azure AI, a suite of AI services and tools, as well as investments in AI research and development across various domains.
Amazon: Amazon Web Services (AWS) offers a range of AI services, such as machine learning, computer vision, and natural language processing, catering to businesses and developers alike.
NVIDIA: As a leading provider of GPU hardware, NVIDIA plays a vital role in enabling AI growth through its hardware solutions and software frameworks designed for machine learning and deep learning applications.
The Future of AI: What to Expect
Already, generative AIs are able to converse, produce poetry, develop computer code, and respond to questions. They are initially being introduced in conversational formats like ChatGPT, Bing, and Google’s Bard, as the term “chatbot” suggests.
But that won’t last for very long. These AI technologies will already be present in Microsoft and Google goods, according to plans. These will enable you to accomplish a variety of cool feats, such as automatically summarizing meetings, crafting savvy marketing messages, and writing a rough copy of an email.
Other IT firms can integrate GPT-4 into their applications and products using the A.P.I. that OpenAI also provides. Additionally, it has developed a number of plug-ins that enhance ChatGPT’s functionality from businesses including Instacart, Expedia, and Wolfram Alpha, enabling future users to house a real personal assistant on their devices. AI applications are becoming more widespread across various sectors, such as healthcare, finance, retail, and manufacturing, driving the further market growth.
AI Growth and the Job Market: Opportunities and Threats
AI-Driven Job Opportunities
As AI continues to expand, new job opportunities are emerging in fields such as:
Data Science: Data scientists play a crucial role in training AI algorithms and interpreting the results of AI-driven analyses.
AI Engineering: AI engineers develop and maintain AI systems, ensuring their efficient operation and integration with other technologies.
AI Ethics and Policy: As AI growth raises ethical concerns, there is an increasing demand for professionals who can navigate the complexities of AI ethics and develop policies to ensure responsible AI development and use.
Jobs at Risk of Extinction
While AI growth presents new opportunities, it also threatens some jobs, particularly those that involve repetitive tasks and can be easily automated, like:
Manufacturing and Assembly: With the rise of AI-powered robots, many manual assembly jobs are at risk of being replaced by automated processes.
Data Entry and Analysis: AI algorithms can process and analyze large amounts of data more quickly and accurately than humans, which may lead to a decline in demand for data entry and analysis positions.
Customer Service: AI-driven chatbots and virtual assistants are increasingly handling customer service tasks, potentially reducing the need for human customer service representatives.
So, where is this going? How will the AI economy be shaped?
Kevin Roose, author of ‘Futureproof: 9 Rules for Humansin the Age of Automation’, discusses how AI is changing the nature of work, pointing out instances like “labor displacement that we traditionally think of when we think about automation, ” though he notes that this is occurring in a wider range of industries than it previously has, including white-collar workplaces. The replacement of management tasks is less well known: ” There’s now a whole industry of worker surveillance and performance tracking software, and in some cases automatically making decisions about hiring and firing.” By 2034, this may result in the replacement of 47% of all job functions.
The two-tiered economy predicted by Mr. Roose will consist of the machine economy and the human economy. The former’s goods will become incredibly affordable. He claims that AI will make it possible for the managers of those businesses to eliminate all waste and inefficiency.
The human economy, in contrast, will be made up of individuals who focus more on creating sensations and experiences than on producing goods and rendering services. Examples of such individuals include healthcare professionals, educators, and artists. Why end there then? Because their job is to make others feel comfortable, even those you wouldn’t consider irreplaceable, like bartenders, baristas, and flight attendants, fall into the category. The human touch is what makes everything so important.
According to Mr. Roose, this will lead to an increase in the creation of higher-touch versions of hyper-scale digital companies’ services, such as premium Netflix where movie curators choose movies for you. According to Mr. Roose, there will be layers within these businesses where customers pay more for human interaction on top of the fundamental layer. He foresees a new wave of businesses that scale human interaction without losing their humanity.
In conclusion, we have new jobs that will be born for AI, some jobs, especially manual ones will become extinct and we also have the ones that are in the middle: lawyers, digital marketers, content writers, journalists, etc.
While AI presents many opportunities for increased efficiency and cost-effectiveness, it also poses challenges and may require professionals to adapt their skills and roles. AI’s ability to analyze vast amounts of data quickly and accurately can be a game-changer for professions such as lawyers and digital marketers. For instance, AI-powered legal tools can streamline document review, case research, and contract analysis, allowing attorneys to focus on more strategic tasks and provide better client service. Similarly, AI algorithms can help digital marketers optimize campaigns, analyze consumer behavior, and predict trends, leading to more targeted and effective marketing strategies.
To stay relevant, professionals in these sectors must focus on developing skills that complement AI, such as creativity, empathy, critical thinking, and emotional intelligence. Moreover, as AI assumes a larger part in decision-making procedures, ethical considerations will become more crucial. To guarantee that AI technologies are used fairly and responsibly, experts will need to keep an eye on concerns like algorithmic bias, transparency, and data privacy.
The emergence of AI in the field of journalism has raised concerns about the future of the profession. AI-driven tools, such as natural language generation systems, can create news articles, summaries, and headlines in a fraction of the time it takes a human journalist. Moreover, these AI-generated articles can be tailored to suit specific audiences, further enhancing their appeal.
However, it is essential to recognize that AI-driven journalism has its limitations. While AI can handle repetitive, data-driven reporting tasks, it struggles with more complex aspects of journalism that require critical thinking, empathy, and a deep understanding of context. Human journalists play a vital role in investigating stories, providing nuanced analysis, and holding the powerful accountable. Therefore, it is unlikely that AI will entirely replace journalism; instead, it may serve as a complement to human journalists, enabling them to focus on high-value tasks that AI cannot perform.
In the future, we can expect a more collaborative relationship between AI and journalists, with the technology taking on more mundane tasks and freeing up journalists to focus on in-depth reporting and analysis.
In conclusion, AI has the potential to transform non-manual positions in the service industries by presenting fresh chances for productivity and development. But, in order to succeed in this shifting environment, professionals will need to adapt and acquire new abilities. Professionals may use the power of AI to build a better future for their fields by embracing lifelong learning, emphasizing human-centric skills, and managing ethical dilemmas.
And with the addition of all the following tools, professionals will enjoy a kind of personal butler that does the “boring” tasks for them, so that they will have more time to be creative and develop their businesses.
Microsoft CoPilot and Google’s AI in Google Workspace
Microsoft CoPilot
Microsoft CoPilot is an AI-driven code completion tool designed to assist developers in writing code more efficiently. Recently Microsoft announced its expansion into its 365 platform, which is bound to revolutionize the way students, home users and professionals work.
In essence, in the near future a user can ask a virtual assistant to compose their emails based on their emailing history, craft pro-grade presentations or gather statistics and create graphs from complex Excel data, just based on natural language prompts; like asking your personal assistant.
Google’s AI in Google Workspace
Google Workspace, formerly known as G Suite, is a suite of cloud-based productivity and collaboration tools that includes applications like Gmail, Google Drive, Google Docs, and Google Meet. Google has been integrating AI into these tools to enhance their functionality and improve user experience.
For example, Google Docs feature AI-driven features like Smart Compose for quite some time, which uses AI to predict and suggest phrases as users type, allowing for faster and more accurate typing. Google Workspace also utilizes AI for grammar and spell-checking, helping users create polished and professional documents.
Additionally, Google’s AI powers the “Explore” feature in Google Sheets, which enables users to ask natural language questions about their data and receive instant insights and visualizations. This feature simplifies data analysis and helps users make data-driven decisions more easily.
These AI-powered features in Microsoft CoPilot and Google Workspace showcase the potential for AI to enhance productivity and streamline tasks across various industries. As AI continues to advance, we can expect to see even more sophisticated AI-driven tools that help users work more efficiently and effectively.
Beste bezoeker, Heb je zelf al ooit een vreemde waarneming gedaan, laat dit dan even weten via email aan Frederick Delaere opwww.ufomeldpunt.be. Deze onderzoekers behandelen jouw melding in volledige anonimiteit en met alle respect voor jouw privacy. Ze zijn kritisch, objectief maar open minded aangelegd en zullen jou steeds een verklaring geven voor jouw waarneming! DUS AARZEL NIET, ALS JE EEN ANTWOORD OP JOUW VRAGEN WENST, CONTACTEER FREDERICK. BIJ VOORBAAT DANK...
Druk op onderstaande knop om je bestand , jouw artikel naar mij te verzenden. INDIEN HET DE MOEITE WAARD IS, PLAATS IK HET OP DE BLOG ONDER DIVERSEN MET JOUW NAAM...
Druk op onderstaande knop om een berichtje achter te laten in mijn gastenboek
Alvast bedankt voor al jouw bezoekjes en jouw reacties. Nog een prettige dag verder!!!
Over mijzelf
Ik ben Pieter, en gebruik soms ook wel de schuilnaam Peter2011.
Ik ben een man en woon in Linter (België) en mijn beroep is Ik ben op rust..
Ik ben geboren op 18/10/1950 en ben nu dus 73 jaar jong.
Mijn hobby's zijn: Ufologie en andere esoterische onderwerpen.
Op deze blog vind je onder artikels, werk van mezelf. Mijn dank gaat ook naar André, Ingrid, Oliver, Paul, Vincent, Georges Filer en MUFON voor de bijdragen voor de verschillende categorieën...
Veel leesplezier en geef je mening over deze blog.