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Why we shouldnt want to be the pets of super-intelligent computers – ABC News

[You can hear Robert Sparrow discuss the dangers of Artificial Intelligence with Waleed Aly and Scott Stephens on The Minefield.]

When asked about humanitys future relationship with computers, Marvin Minsky, one of the founding fathers of the field of Artificial Intelligence (AI), famously replied, If were lucky, they might decide to keep us as pets.

While the view is not shared universally among computer scientists, serious, intelligent, people believe that there is a real danger that AIs will enslave perhaps even destroy humanity. Swedish philosopher Nick Bostrom has written an entire book, Superintelligence, discussing the threat posed to humanity by AI.

One might think that it would swiftly follow that we should abandon the pursuit of AI. Instead, most of those who purport to be concerned about the existential threat posed by AI default to worrying about what they call the Friendly AI problem. Roughly speaking, this is the question of how we might ensure that the AIs that will develop from the first AI that we create will remain sympathetic to humanity and continue to serve or at least, take account of our interests. More colloquially: How do we ensure that AI doesnt eat us?

Its hard to know how seriously to take this stuff. While one group of experts, often with doctorates in physics, mathematics, or philosophy, appear to be genuinely worried about superintelligence, many computer scientists, and other people working in artificial intelligence, seem to think that the whole discussion is stupid and that there is little prospect of machines becoming genuinely intelligent, let alone super-intelligent, for the foreseeable future.

What should be clear, however, is that, if there is some danger that superintelligence will emerge, solving the Friendly AI problem would not make the prospect of becoming AIs pet any more attractive.

To understand precisely why AIs pet is not a status to which humanity should aspire, we should turn to the neo-republican philosophy of Philip Pettit. Republicanism is well-suited to the examination of ethical issues around AI because it is centrally concerned with the relationship between power, liberty, reason, and status.

The core intuition of republicanism, as represented by Pettit, regards the nature of liberty. To be free, according to republicans, it is not enough that no-one prevents you from acting as you choose: ones freedom of action must be resilient or robust. In particular, one is not free if one can only act as one wishes at the sufferance of the powerful. To be free, one must not be dominated. A key feature of this account is that not all interference will count as dominating the interference must also be arbitrary. According to Pettit:

an act is perpetrated on an arbitrary basis if it is subject just to the arbitrium, the decision or judgement, of the agent; the agent was in a position to choose it or not to choose it, at their pleasure without reference to the interests, or the opinions, of those affected.

With the republican account of the relationship between power and liberty in mind, we can see clearly what would be wrong with becoming AIs pet. Humanity would become AIs toy, free only at the pleasure of intelligent machines. Even if a pets owner grants the pet the run of the house, to be a pet is to be enslaved.

It might be objected that a Friendly AI would only interfere in our lives in our interests and thus its exercise of power would not count as domination. However, a benevolent dictator is still a dictator. The exercise of power in accordance with our interests is only compatible with our freedom if we could resist it. Unfortunately, it is article of faith in the research on superintelligence that a super-intelligent AI would be able to thwart human attempts to limit its power. The only thing that will prevent a Friendly AI from eating us is if it doesnt want to.

Granted, some formulations of the Friendly AI problem imply that solving it requires guaranteeing that AI will never act against humanitys interests. Given the profound difficulties involved in constraining the activities of a superintelligence, this would require that it comes into existence with the desire to serve humanitys interests and that it never desires to change its own motivations.

Again, however, a guarantee that AI wont eat us is not sufficient to establish that co-existence with a superintelligence is compatible with human freedom. Insofar as it would remain true of such a machine that, if it wanted to eat us, it could, it seems that we would still be subject to its whims and thus unfree.

What would be required to preserve human freedom is that a Friendly AI couldnt act against humanitys interests presumably because its design renders it impossible for it to ever want to. Its unclear whether the existence of such hardwired limits on what an AI is capable of desiring is compatible with claiming it to be an agent and, therefore, genuinely intelligent. Regardless, it is doubtful that we could impose such limits on a superintelligence even if they are possible. Moreover, locking in the motivations of AI would also increase the risk that things will go wrong as result of the machines fixed sense of what our interests are deviating from our own. What a republican conception of liberty demonstrates, then, is that there is a profound tension between AIs freedom and our own.

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Pettits work provides us with one more tool to investigate the relationship between power and freedom, which also highlights the tension between the power of super-intelligent AI and human freedom. In a republic, citizens meet as equals of a certain sort. Knowing that they are secure from the arbitrary exercise of power by others, citizens do not need to bow and scrape to their superiors. Asking whether people look each other in the eye in their daily encounters with each other tells us whether people feel dominated and on the assumption that people tend to have an accurate sense of their relationships with others whether they are dominated.

AI is unlikely to have eyeballs. Looking in to its, no doubt ubiquitous, CCTV cameras is unlikely to reassure us either that we are its equals or that it thinks of us as such. We cannot have a relationship of equals with a superintelligence because we will not be its equals.

Solving the Friendly AI problem would not, therefore, change the fact that the advent of super-intelligent AI would be disastrous for humanity. The pets of kind owners are still pets. As long as AI has the power to interfere in humanitys choices and the capacity to do so without reference to our interests, then it will dominate us and thereby render us unfree.

Why has so much attention been paid to the Friendly AI problem and so little to the fact that the power relationship that would exist between us and super-intelligent AI would itself be enough to render us its slaves?

In part, one suspects, this because of the hold that a doctrine of negative liberty has over our culture. To be free according of advocates of negative liberty requires only that no-one prevents us from doing what we want not that no-one could do so if they wanted to. This doctrine is blind to indeed, arguably wilfully obscures the consequences that inequalities of power have on liberty.

However, one also suspects that adherence to a doctrine of negative liberty is also more than a little self-serving on the part of many of those writing about Friendly AI, who are funded by organisations that already have a vast amount of power over those who use their products. To admit that even a benevolent dictatorship is still a dictatorship would be to cast doubt on the business model of the institutions funding Friendly AI research.

Some of the cleverest people in the world are working to realise AI. Some of them declare that there is a non-trivial risk that this project will lead to the creation of entities that might in the best case relate to us in the way we relate to rats and mice. Given the difficulties of evaluating claims about progress in AI for the non-specialist, and the quality of the intellects on both sides of the debate about the likelihood this will occur, I struggle to form an opinion on the matter myself.

What I am confident of is that, even if it were available, a guarantee that our future robot overlords will be benevolent should be cold comfort. Worrying about how to create friendly AI is a distraction. If we really think that there is a risk that research on AI will lead to the emergence of a superintelligence, then we need to think again about the wisdom of researching AI at all.

Robert Sparrow is a Professor of Philosophy at Monash University, where he is also Associate Investigator at the ARC Centre of Excellence for Automated Decision-Making and Society. This article is adapted from research that appeared inAI & Society: Journal of Knowledge, Culture and Communication.

Posted11 Sep 202311 Sep 2023Mon 11 Sep 2023 at 7:48am, updated15 Sep 202315 Sep 2023Fri 15 Sep 2023 at 6:49am

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Artificial Intelligence May Be Humanity’s Most Ingenious Invention … – Vanity Fair

We invented wheels and compasses and chocolate chip cookie dough ice cream and the eames lounge chair and penicillin and e = mc2 and beer that comes in six-packs and guns and dildos and the Pet Rock and Doggles (eyewear for dogs) and square watermelons. One small step for man. We came up with the Lindy Hop and musical toothbrushes and mustard gas and glow-in-the-dark Band-Aids and paper and the microscope and baconfucking bacon!and Christmas. Ma-ma-se, ma-ma-sa, ma-ma-ko-ssa. We went to the bottom of the ocean and into orbit. We sucked energy from the sun and fertilizer from the air. Let there be light. We created the most amazing pink flamingo lawn ornaments that come in packs of two and only cost $9.99!

In a universe that stretches an estimated 93 billion light-years in diameter with 700 quintillion (7 followed by 20 zeros) planetshere, on this tiny little blue dot we call Earth, one of us created a tool called a spork. The most astounding part is that while that same universe is an estimated 26.7 billion years old, we did everything in just under 6,000 years.

All of this in less than 200 generations of human life.

Now weve just created a new machine that is made of billions of microscopic transistors and aluminum and copper wires that zigzag and twist and turn and are interconnected in incomprehensible ways. A machine that is only a few centimeters in width and length.

A little tiny machine that may end up being the last invention humans ever create.

This all stems from an idea conceptualized in the 1940s and finally figured out a few years ago. That could solve all of the worlds problems or destroy every single human on the planet in the snap of a fingeror both. Machines that will potentially answer all of our unanswerable questions: Are we alone in the universe? What is consciousness? Why are we here? Thinking machines that could cure cancer and allow us to live until were 150 years old. Maybe even 200. Machines that, some estimate, could take over up to 30 percent of all jobs within the next decade, from stock traders to truck drivers to accountants and telemarketers, lawyers, bookkeepers, and all things creative: actors, writers, musicians, painters. Something that will go to war for usand likely against us.

Artificial intelligence.

Thinking machines that are being built in a 50-square-mile speck of dirt we call Silicon Valley by a few hundred men (and a handful of women) who write in a language only they and computers can speak. And whether we understand what it is they are doing or not, we are largely left to the whims of their creation. We dont have a say in the ethics behind their invention. We dont have a say over whether it should even exist in the first place. Were creating God, one AI engineer working on large language models (LLMs) recently told me. Were creating conscious machines.

Already, weve seen creative AIs that can paint and draw in any style imaginable in mere seconds. LLMs can write stories in the style of Ernest Hemingway or Bugs Bunny or the King James Bible while youre drunk with peanut butter stuck in your mouth. Platforms that can construct haikus or help finish a novel or write a screenplay. Weve got customizable porn, where you can pick a womans breast size or sexual position in any settingincluding with you. Theres voice AI software that can take just a few seconds of anyones voice and completely re-create an almost indistinguishable replica of them saying something new. Theres AI that can re-create music by your favorite musician. Dont believe me? Go and listen to Not Johnny Cash singing Barbie Girl, Freddie Mercury intoning Thriller, or Frank Sinatra bellowing Livin on a Prayer to see just how terrifying all of this is.

Then theres the new drug discovery. People using AI therapists instead of humans. Others are uploading voicemails from loved ones who have died so they can continue to interact with them by talking to an AI replica of a dead parent or child. There are AI dating apps (yes, you date an AI partner). Its being used for misinformation in politics already, creating deepfake videos and fake audio recordings. The US military is exploring using AI in warfareand could eventually create autonomous killer robots. (Nothing to worry about here!) People are discussing using AI to create entirely new species of animals (yes, thats real) or viruses (also real). Or exploring human characteristics, such as creating a breed of super soldiers who are stronger and have less empathy, all through AI-based genetic engineering.

And weve adopted all of these technologies with staggering speedmost of which have been realized in just under six months.

It excites me and worries me in equal proportions. The upsides for this are enormous, maybe these systems find cures for diseases, and solutions to problems like poverty and climate change, and those are enormous upsides, said David Chalmers, a professor of philosophy and neural science at NYU. The downsides are humans that are displaced from leading the way, or in the worst case, extinguished entirely, [which] is terrifying. As one highly researched economist report circulated last month noted, There is a more than 50-50 chance AI will wipe out all of humanity by the middle of the century. Max Tegmark, a physicist at the Massachusetts Institute of Technology, predicts a 50 percent chance of demise within the next 100 years. Others dont put our chances so low. In July, a group of researchers, including experts in nuclear war, bioweapons, AI, and extinction, and a group of superforecastersgeneral-purpose prognosticatorsdid their own math. The experts deduced that there was a 20 percent chance of a catastrophe by 2100 and a 6 percent chance of an extinction-like event from AI, while the superforecasters had a more positive augury of a 9 percent chance of catastrophe and only 1 percent chance wed be wiped off the planet.

It feels a little like picking the extinction lottery numbersand even with a 1 percent chance, perhaps we should be asking ourselves if this new invention is worth the risk. Yet the question circulating around Silicon Valley isnt if such a scenario is worth it, even with a 1 percent chance of annihilation, but rather, if it is really such a bad thing if we build a machine that changes human life as we know it.

Larry Page is not an intimidating-looking man. When he speaks, his voice is so soft and raspy from a vocal cord injury, it sounds like a campfire that is trying to tell you something. The last time I shook his hand, many, many years ago, it felt as soft as a bar of soap. While his industry peers, like Mark Zuckerberg and Elon Musk, are often performing public somersaults with pom-poms for attention, Page, who cofounded Google and is on the board of Alphabet, hasnt done a single public interview since 2015, when he was onstage at a conference. In 2018, when Page was called before the Senate Intelligence Committee to address Russian election meddling, online privacy, and political bias on tech platforms, his chair sat empty as senators grilled his counterparts.

While Page stays out of the limelight, he still enjoys attending dinners and waxing poetic about technology and philosophy. A few years ago a friend found himself seated next to Page at one such dinner, and he relayed a story to me: Page was talking about the progression of technology and how it was inevitable that humans would eventually create superintelligent machines, also known as artificial general intelligence (AGI), which are computers that are smarter than humans, and in Pages view, once that happened, those machines would quickly find no use for us humans, and they would simply get rid of us.

What do you mean, get rid of us? my friend asked Page.

Like a sci-fi writer delivering a pitch for their new apocalyptic story idea, Page explained that these robots would become far superior to us very quickly, and if we were no longer needed on earth and thats the natural order of thingsand I quoteits just the next step in evolution. At first my friend assumed Page was joking. Im serious, said Page. When my friend argued that this was a really fucked up way of thinking about the world, Page grew annoyed and accused him of being specist.

Over the years, Ive heard a few other people relay stories like this about Page. While being interviewed on Fox News earlier this year, Musk was one of them. He explained that he used to be close with Page but they no longer talked after a debate in which Page called Musk specist too. My perception was that Larry was not taking AI safety seriously enough, Musk said. He really seems to want digital superintelligence, basically digital God, if you will, as soon as possible.

All of the people LEADING THE DEVELOPMENT OF AI right now are COMPLETELY DISINGENUOUS in public.

Lets just stop for a moment and unpack this. Larry Pagethe founder of one of the worlds biggest companiesa company that employs thousands of engineers that are building artificial intelligence machines right now, as you read thisbelieves that AI will, and should, become so smart and so powerful and so formidable andandthat one day it wont need us dumb pathetic little humans anymoreand it will, and it should, GET RID OF US!

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When regulating artificial intelligence, we must place race and gender at the center of the debate – EL PAS USA

One of the most recent research projects organized by 32-year-old Brazilian anthropologist Fernanda K. Martins found that platforms such as Spotify recommend more male artists to users than women, regardless of the musical genre being searched for. This is what academics call algorithmic discrimination.

It seems logical that this anthropologist would take her research on gender and race to the internet probably the most challenging universe of our time given that Brazil is one of the most hyper-connected countries in the world.

Martins is the director of the Internet Lab: a respected interdisciplinary research center, which examines the space where law and the internet meet. Shes also an active participant on the subject of artificial intelligence (AI) and its effects on society. The daughter of a Black and Indigenous woman and a white man, Martins was nine-years-old when drought and inequality led her entire family to emigrate to So Paulo. She lived in the Brasilandia favela until the family moved to the exclusive Jardins district, where her father works as a doorman.

She clearly remembers the moment when she discovered her Blackness. It was the day I uttered the phrase you blacks and a teacher answered me: And what about you?

Question. Each Brazilian surfs the internet for an average of nine hours and 32 minutes each day only behind South Africa and three hours above the world average. What drives this hyperconnectivity?

Answer. Vanity [and] image are very present in Brazilian popular culture. Due to our Indigenous ancestry, the body is very important we are very used to affection. The internet plays a role [in supporting this] connection among historically marginalized populations.

We wanted to understand how Native Americans and Black people who got into colleges through quota systems (affirmative action) view the internet. They told us that it was important at a time when they were often the only [minorities] among a white majority. [In Brazil], we access the internet a lot, but in a very uneven and highly-concentrated way. The providers offer free internet in Brazil for certain applications, such as WhatsApp. And, among the most vulnerable populations, theres the conviction that the internet solely consists of those free applications. Theres no space for people to determine what kind of internet they want to build. For this reason, the more we strengthen the big platforms, the less space we find for innovation and creativity.

Q. How is your personal relationship with the online world? Constructive? Improvable? Do you set limits on screen time?

A. Its intense. Coming from a public school, I wasnt taught about computers in class, I was self-taught. I started surfing the web at the age of 10-11, on a computer my older brother bought. I had peers who didnt know how to plug a computer in or how to use it.

Do I set limits? I have taught myself how. When I take the dog for a walk, I go without my phone. The internet produces that feeling of always being accompanied, but it also aggravates loneliness. Youre present, but youre not.

Q. Tell us more about your research on the algorithms that reinforce inequality.

A. The research was born in an interdisciplinary team, when the debate on algorithmic discrimination was very intense. Some say that the internet is a reflection of an unequal society. I think it goes further. I believe that the internet and technology produce other inequalities. Our research shows that, when you ask streaming music platforms for recommendations, women are less recommended than men, regardless of musical genre. And there the question arises about whats the social role of the tech platform to try to balance that out. We need the platforms to show that theyre making every effort not to create and perpetuate inequalities.

We were able to analyze the gender [of users], but not the ethnic-racial profiles, because theres no data on either the artists or the users. Perhaps in parts of the Global North that isnt important, but in Brazil, its crucial.

Q. Brazil is considered to be a good laboratory for analyzing internet problems in general and social media in particular but also for shedding light on possible solutions.

A. Brazil is interesting for several reasons. While were a country from the Global South, were so hyper-connected that most of the big tech companies have offices here. This allows us to build a dialogue with multiple actors involved in the debates and the research investigations, in an attempt to solve problems. Furthermore, were going through a wave of growth in conservatism. In the last four years with [President Jair] Bolsonaro, weve seen the potential for disinformation, which isnt limited to the internet. And we now have a progressive government that is intensely considering how to regulate digital platforms. This wont solve all the problems, but maybe it can solve some.

Q. There are different models of regulating the internet and technology. This is a super broad and technical matter, but what do you think must be included in that Brazilian governments law? And what should be left out?

A. The main challenge when we think about the regulation of digital platforms not only in Brazil, but in our Latin American neighbors is not to import the European model. We need to find out what our way is. Transparency the possibility of auditing the data provided by the platforms is essential to addressing disinformation, political violence, or hate speech. We mustnt lose sight of the fact that Brazil like other Latin American countries is a very fragile democracy. In Brazil, we need an autonomous body with financial independence to carry out these audits, without the risk of being hijacked by politicians, the public sector. or the private sector. Civil society and academia must participate in this debate. The ultimate goal is to offer a healthy ecosystem to Brazilians, where they can create policies and make connections. We must flee from extreme polarization and silence.

Q. You mention polarization and disinformation. Today, we have access to more information than ever before, but much of it is of very poor quality. How do you propose we deal with this? What should be the priority?

A. When we talk about disinformation, we cannot only think about social media platforms. We need to address the Brazilian media model. For instance, how the television channels are in the hands of a few families.

Q. Do you think its possible to fight against misinformation when hate is more lucrative than sober and quality information?

A. Disinformation will continue to be a phenomenon that requires a search for solutions by different sectors and social actors. We must think about alternative, independent, local and regional media about public policies that support Indigenous media, produced in the peripheries, by Blacks, by traditional communities. And then, theres education. People need to know how to check if a news story is fake or not, but they differ on what they consider to be a reliable source. For some, its a YouTube channel. For others, its a trusted person. We need [media] literacy across society in general, as well as a commitment to journalism. We have to think about broad pacts, because the problem isnt concentrated in a single actor. In the Bolsonaro government (2018-2022), many consensuses that we were building around human rights, women and Black people were weakened. Violent discourse and attacks were normalized. We need to believe again in a future built from new consensus. We must actively listen to historically marginalized populations, but the rest [of the population] must also look inward and ask, who were my ancestors?

Q. You mean that the historically favored should reflect on white privilege and masculine privilege, but dont they have an advantage merely for being who they are?

A. I wouldnt use the term privilege, because it causes many people to react negatively, trying to protect themselves. Its time that the anger which has been important for the traditionally marginalized to harness be shared a little. The people who benefited from the system should be angry with their past. We must build anti-racist people.

Women, Blacks and Indigenous people arent going to be able to conquer their rights alone. We need a broad coalition, so that people understand that its important that society deals with that anger. When we think about the regulation of artificial intelligence, social media platforms, or the remuneration of journalism, we must place race and gender at the center of the debate.

Q. Lets talk about gender. Female parliamentarians only make up 18% of the Congress of Brazil, but whether theyre on the left or right of the political spectrum theyre the main target of online hate. Why is this?

A. When they get into politics, they occupy spaces where they were never present before. We see that anger translates into attacks on women, but not for what they do politically. Rather, its for what they represent. When we compare the attacks on social media, we see that straight white men are questioned for their political positions, while women are critiqued for their hair, their clothes, their morals.

Q. In recent months, the Supreme Court of Brazil issued a series of rulings which some consider to be controversial against the disinformation that led to the coup attempt on January 8. Do you consider this action to be proportional to the risk?

A. We were very afraid about what could happen to Brazilian democracy. The Supreme Court had a strong presence in the elections and, on January 8, in the effort to protect democratic institutions. The problem is the drift towards personalism.

Q. Are you referring to the role of Judge Alexandre de Moraes, who has been accused of imposing censorship by certain individuals?

A. Yes. But how do we protect Brazilian democratic institutions without this being considered a problem? We need all the powers and every Brazilian to assume their responsibility.

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Making AI smarter with an artificial, multisensory integrated neuron – Science Daily

The feel of a cat's fur can reveal some information, but seeing the feline provides critical details: is it a housecat or a lion? While the sound of fire crackling may be ambiguous, its scent confirms the burning wood. Our senses synergize to give a comprehensive understanding, particularly when individual signals are subtle. The collective sum of biological inputs can be greater than their individual contributions. Robots tend to follow more straightforward addition, but Penn State researchers have now harnessed the biological concept for application in artificial intelligence (AI) to develop the first artificial, multisensory integrated neuron.

Led by Saptarshi Das, associate professor of engineering science and mechanics at Penn State, the team published their work on September 15 in Nature Communication.

"Robots make decisions based on the environment they are in, but their sensors do not generally talk to each other," said Das, who also has joint appointments in electrical engineering and in materials science and engineering. "A collective decision can be made through a sensor processing unit, but is that the most efficient or effective method? In the human brain, one sense can influence another and allow the person to better judge a situation."

For instance, a car might have one sensor scanning for obstacles, while another senses darkness to modulate the intensity of the headlights. Individually, these sensors relay information to a central unit which then instructs the car to brake or adjust the headlights. According to Das, this process consumes more energy. Allowing sensors to communicate directly with each other can be more efficient in terms of energy and speed -- particularly when the inputs from both are faint.

"Biology enables small organisms to thrive in environments with limited resources, minimizing energy consumption in the process," said Das, who is also affiliated with the Materials Research Institute. "The requirements for different sensors are based on the context -- in a dark forest, you'd rely more on listening than seeing, but we don't make decisions based on just one sense. We have a complete sense of our surroundings, and our decision making is based on the integration of what we're seeing, hearing, touching, smelling, etcetera. The senses evolved together in biology, but separately in AI. In this work, we're looking to combine sensors and mimic how our brains actually work."

The team focused on integrating a tactile sensor and a visual sensor so that the output of one sensor modifies the other, with the help of visual memory. According to Muhtasim Ul Karim Sadaf, a third-year doctoral student in engineering science and mechanics, even a short-lived flash of light can significantly enhance the chance of successful movement through a dark room.

"This is because visual memory can subsequently influence and aid the tactile responses for navigation," Sadaf said. "This would not be possible if our visual and tactile cortex were to respond to their respective unimodal cues alone. We have a photo memory effect, where light shines and we can remember. We incorporated that ability into a device through a transistor that provides the same response."

The researchers fabricated the multisensory neuron by connecting a tactile sensor to a phototransistor based on a monolayer of molybdenum disulfide, a compound that exhibits unique electrical and optical characteristics useful for detecting light and supporting transistors. The sensor generates electrical spikes in a manner reminiscent of neurons processing information, allowing it to integrate both visual and tactile cues.

It's the equivalent of seeing an "on" light on the stove and feeling heat coming off of a burner -- seeing the light on doesn't necessarily mean the burner is hot yet, but a hand only needs to feel a nanosecond of heat before the body reacts and pulls the hand away from the potential danger. The input of light and heat triggered signals that induced the hand's response. In this case, the researchers measured the artificial neuron's version of this by seeing signaling outputs resulted from visual and tactile input cues.

To simulate touch input, the tactile sensor used triboelectric effect, in which two layers slide against one another to produce electricity, meaning the touch stimuli was encoded into electrical impulses. To simulate visual input, the researchers shined a light into the monolayer molybdenum disulfide photo memtransistor -- or a transistor that can remember visual input, like how a person can hold onto the general layout of a room after a quick flash illuminates it.

They found that the sensory response of the neuron -- simulated as electrical output -- increased when both visual and tactile signals were weak.

"Interestingly, this effect resonates remarkably well with its biological counterpart -- a visual memory naturally enhances the sensitivity to tactile stimulus," said co-first author Najam U Sakib, a third-year doctoral student in engineering science and mechanics. "When cues are weak, you need to combine them to better understand the information, and that's what we saw in the results."

Das explained that an artificial multisensory neuron system could enhance sensor technology's efficiency, paving the way for more eco-friendly AI uses. As a result, robots, drones and self-driving vehicles could navigate their environment more effectively while using less energy.

"The super additive summation of weak visual and tactile cues is the key accomplishment of our research," said co-author Andrew Pannone, a fourth-year doctoral student in engineering science and mechanics. "For this work, we only looked into two senses. We're working to identify the proper scenario to incorporate more senses and see what benefits they may offer."

Harikrishnan Ravichandran, a fourth-year doctoral student in engineering science and mechanics at Penn State, also co-authored this paper.

The Army Research Office and the National Science Foundation supported this work.

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Why The Human Touch Is Still Vital in AI Marketing – Entrepreneur

Opinions expressed by Entrepreneur contributors are their own.

There's no denying it: A fast-changing and often dizzying component of any digital marketing program is now artificial Intelligence. In assessing this reality, I've found it possible, and empowering, to keep my traditional marketing boots laced up I just equip them with AI-powered rocket boosters. Because, though breakthrough tech might be altering aspects of this work, let's be clear: the heart and soul of the marketing mission that's still all human.

Imagine you've been working out in an old-school gym. Simple weights, classic routines and sweat. Now, imagine you're handed this super-cool sci-fi exoskeleton, and are suddenly bench-pressing buses and doing squats with elephants on your back. That's akin to the difference AI brought to my digital marketing workout it supercharged everything but (and this is key), it's still me deciding where and when to flex those abilities. The exoskeleton might add muscle, but the workout itself is still a personal effort.

Remember the days of content creation when it felt like playing darts in the dark? Sometimes you hit, sometimes you missed and sometimes you just heard a cat screech in the distance. Then AI strutted onto the scene, and with its right nudge and prompt, it was like turning on the lights: The board's the same, as are the darts, but you're suddenly hitting bullseyes more often than not.

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Eight things we learned from the Elon Musk biography – The Guardian

Elon Musk

Widespread access to worlds richest man allowed biographer Walter Isaacson to detail a number of illuminating anecdotes

Tue 12 Sep 2023 08.26 EDT

A new biography of Elon Musk was published on Tuesday and contains colourful details of the life of the worlds richest man.

Musk afforded widespread access to his biographer, Walter Isaacson, the author of the bestselling biography of the Apple co-founder Steve Jobs, and the book contains a series of illuminating anecdotes about Musk. Here are eight things we learned from the book.

Musk, 52, was born and raised in South Africa and endured a fraught relationship with his father, Errol, an engineer. Isaacson writes that Errol bedevils Elon.

Musks brother, Kimbal, says the worst memory of his life was watching Errol berate Musk after he was hospitalised after a fight at school (the book says Musk was still getting corrective surgery for the injuries decades later). My father just lost it, says Kimbal.

Musk and Kimbal, who are estranged from their father, describe Errol as a volatile fabulist. Interviewed by Isaacson, Errol admits he encouraged a physical and emotional toughness in his sons.

Grimes, the artist who is mother to three of his 10 children, says PTSD from Musks childhood shaped an aversion to contentment: I just dont think he knows how to savor success and smell the flowers. Musk tells Isaacson he agrees: Adversity shaped me. My pain threshold became very high.

Shortly before taking over Twitter, or X as it is now called, Musk told Isaacson that the woke mind virus a derogatory term for progressive politics and culture would prevent extraplanetary settlement (one of Musks fixations).

Unless the woke mind virus, which is fundamentally anti-science, anti-merit, and anti-human in general, is stopped, civilization will never become multiplanetary, said Musk.

Musk fired Twitters executive team as soon as he completed the takeover of Twitter in October last year and it had been coming. When Musk bought a significant stake in Twitter months before, he agreed to meet the CEO, Parag Agrawal. After the meeting, Musk said: What Twitter needs is a fire-breathing dragon and Parag is not that.

They soon fell out. Agrawal texted Musk to say his tweet asking if Twitter was dying was not helpful. Musk, on a break in Hawaii, replied: What did you get done this week? He added: Im not joining the board. This is a waste of time. Will make an offer to take Twitter private.

This was during discussions about Musk joining the board. Agrawals reply underlined the power imbalance, and Twitters fear of Musk. He texted: Can we talk? Musk soon lodged an official bid for Twitter, which he tried unsuccessfully to wriggle out of, but the die was cast for Agrawal and his colleagues.

The founder and CEO of the fallen cryptocurrency exchange FTX, Sam Bankman-Fried, offered via his banker to put $5bn (4.1bn) into the Twitter takeover, the book claims. Bankman-Friedalso wanted to discuss putting Twitter on a blockchain the technological underpinning for cryptocurrencies such as bitcoin.

A subsequent call between Musk and Bankman-Fried in May 2022 went badly, Isaacson wrote. My bullshit detector went off like red alert on a Geiger counter, Musk is quoted as saying.

Bankman-Frieds offer to invest or to roll over $100m of Twitter stock that he claimed he had invested, came to nothing.

In his early tycoon career, Musk pondered recruiting the then mayor of New York as a political fixer to help him turn his PayPal business into a bank in 2001. Musk sought a meeting with Giuliani, then coming to the end of his tenure in office, because he wanted to turn PayPal an online payments company into a social network that would disrupt the whole banking industry.

In 2001, Musk and an investor, Michael Moritz, went to New York to see if they could hire Giuliani to guide them through the process of turning PayPal into a bank. It didnt go well.

It was like walking into a mob scene, Moritz says in the book. Giuliani was surrounded by goonish confidantes. He didnt have any idea whatsoever about Silicon Valley, but he and his henchmen were eager to line their pockets.

This guy occupies a different planet, Musk told Moritz.

One of Musks reasons for founding a new artificial intelligence company, xAI, is addressing the threat of population collapse. In one face-to-face conversation with Isaacson, the multi-billionaire said human intelligence was in danger of being surmounted by digital intelligence.

The amount of human intelligence, he noted, was levelling off because people were not having enough children. Meanwhile, the amount of computer intelligence was going up exponentially, like Moores law on steroids. At some point, biological brainpower would be dwarfed by digital brainpower.

This conversation was conducted at the Austin, Texas house of Shivon Zilis, an executive at Musks Neuralink business who is the mother of two of his children. Zilis told Isaacson she agreed to have children with Musk via IVF after listening to his arguments about having children as a kind of social duty. She said: He really wants smart people to have kids, so he encouraged me to, she said.

He tells Isaacson that human consciousness is under threat from the prospect of super-intelligent, and uncontrollable, AI systems.

Musk says: What can be done to make AI safe? I keep wrestling with that. What actions can we take to minimize AI danger and assure that human consciousness survives?

Musks satellite communications unit, Starlink, has a key role in Ukraines defence against the Russian invasion. When a Russian cyber-attack crippled Ukraines satellite comms network an hour before the invasion, Musk stepped in following an appeal for help from Ukrainian officials and the countrys deputy prime minister.

However, the book alleges that Musk told his engineers to turn off Starlink coverage that would have facilitated an attack by drone submarines on Russias navy at the Sevastopol base in Crimea.

However, Isaacson has subsequently clarified this excerpt after Musk used his X platform to state that there was no Starlink coverage in that area and he refused a Ukrainian request to activate it. Musk posted: If I had agreed to their request, then SpaceX would be explicitly complicit in a major act of war and conflict escalation.

Elon Musk by Walter Isaacson is published by Simon & Schuster. To support the Guardian and Observer order your copy at guardianbookshop.com. Delivery charges may apply.

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Scorpion Casino Token, Litecoin, and Polygon: Achieve x100 … – Tekedia

This article explores how Scorpion Casino Token (SCORP), Litecoin, and Polygon are revolutionizing their platforms through blockchain technology. All of these platforms embrace blockchain to provide transparent, secure, and decentralized betting experiences!

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Gadkari bats for small units, new technology and construction methods to reduce prices of houses – Moneycontrol

A miniscule percentage of the country's people can afford houses with price tags of Rs 1 crore or more and the country's masses should be at the centre of approach to housing construction, a release quoted Gadkari as saying.

Union Minister Nitin Gadkari on Friday said shifting focus from large size homes to small units, use of new technologies and construction methods as well as application of innovative construction material will significantly help in reducing the cost of homes.

Addressing the 40th Annual General Meeting of the Confederation of Real Estate Developers of India (Credai) Pune Metro, he said there was need for decentralization from 'smart cities' to 'smart villages' that can be connected to cities with an efficient road network.

A miniscule percentage of the country's people can afford houses with price tags of Rs 1 crore or more and the country's masses should be at the centre of approach to housing construction, a release quoted Gadkari as saying.

He cited examples of how cost of construction for infrastructure projects was reduced by his ministry by applying innovative construction technology and materials, adding the same concepts can be extended to housing construction to reduce prices of homes.

Demand pressure is making it possible to sell high priced homes easily, but developers should shed this complacency and look to build homes for common people, the Union Minister for Road Transport and Highways said.

Gadkari announced his ministry will in three months start flyover projects for Pune with an investment of Rs 55,000 crore.

It is important to think about the idea of New Pune with good road connectivity and reduce pressure on city infrastructure, he added.

Discover the latest business news, Sensex, and Nifty updates. Obtain Personal Finance insights, tax queries, and expert opinions on Moneycontrol or download the Moneycontrol App to stay updated!

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When data becomes dangerous, and what to do about it – SiliconANGLE News

Cloud storage has grown massively in the past few years. Simultaneous to that, organizations have been routinely targeted with ransomware, sometimes on a daily basis.

Still, theres so much more to go when it comes to the amount of data that needs to be moved to the cloud, according to Ed Casmer (pictured), founder and chief technology officer of Cloud Storage Security, a company dedicated to solving the security and compliance challenges surrounding data storage in the cloud. So when does data become dangerous?

I would just start by considering all data dangerous, Casmer said. But there are three particular cases to that. One is when the data is unknown, another is when its riddled with issues, payloads, you know, malware, and another is when it falls into the wrong hands.

Casmer spoke with theCUBE industry analyst Lisa Martin at the Cybersecurity AWS Startup Showcase event, during an exclusive broadcast on theCUBE, SiliconANGLE Medias livestreaming studio. They dove deep into how data becomes dangerous and discussed how to ensure data is safe to use. (* Disclosure below.)

When it comes to challenges around data being unknown, sometimes it means that organizations really dont have a clue about what data they have in their environment, according to Casmer. There may be certain data paths, but outside of those paths, the organization really doesnt know what data they have.

If we talk about the second piece there, being riddled with payloads, the notion there is the stats prove to us and show to us that one in two organizations are being attacked by ransomware on a daily, weekly or monthly basis, he said. That is really frequent.

The third piece, involving data falling into the wrong hands, is typically a configuration issue. Its not as though someone has compromised a system and isnt always just a brute entry into the environment, Casmer noted.

It proves to us by saying, what data is being compromised? What data is being lost to customers? And it was really interesting findings that we worked with [Enterprise Strategy Group] on, and its about a third of the customers losing it from file stores, he said. Whether these are network file shares or these are block storage attached to computers, 34% of organizations are losing information from data lakes.

The number that might not be as surprising is that 42% of organizations are losing information from their software-as-a-service applications, according to Casmer. Thats whether its the SaaS application being compromised or how its been configured.

Theyre losing data. So, its a wide array of where people are losing their data, he said.

When it comes to the three classifications of data becoming dangerous, there are various business and security challenges at play. The first involves the notion of how people have adjusted to the cloud in general, according to Casmer.

We focused on compute in the early days, but now we have to focus on storage as well. When we look at the business challenges, were looking at areas where data proliferates massively, he said. Whether thats backups now that are being pushed to the cloud, its the notion of having infinite resources versus finite resources on-prem, where you couldnt just make tons of copies of data and put it in places because you didnt have the places to put it. Now you can.

The security team is now focused on data as much as they were on compute, according to Casmer. Where there was shadow IT before, now there is shadow data.

Its easy to make a copy of a production database and put it someplace to start running reports against and doing more activity against, Casmer said. But its very hard for the security team to understand whos done what with that data and how youre securing it.

In the end, much of this comes down to how business and security teams work together to push back against the dangerous nature of data. What that means is the company is seeking ways to empower both the business side and the security side, Casmer explained.

The business side wants visibility; the security side wants control. So, how is Cloud Storage Security helping with that? Well, we provide a tool that locates the unknown data, he said. You get that notion of, there is no more unknown data because you can find everything across all of your infrastructure.

The company makes sure that the data is safe to use but is also classifying it and ensuring it is not too sensitive. Of course, there are multiple ways to lose data, including the configuration aspect.

Were giving you a best-practices review of all of your data stores to say, Are you doing the right things with that data? he said. With a little bit of visibility, a bunch of control and a bunch of scanning or touching of that data to really tell you what you have, we can help those organizations solve both the business requirements, as well as the security requirements.

Heres the complete video interview with Ed Casmer, part of SiliconANGLEs and theCUBEs coverage of the Cybersecurity AWS Startup Showcase event:

(* Disclosure: Cloud Storage Security sponsored this segment of theCUBE. Neither Cloud Storage Security nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

TheCUBEis an important partner to the industry. You guys really are a part of our events and we really appreciate you coming and I know people appreciate thecontent you create as well Andy Jassy

THANK YOU

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Storage and Data Protection News for the Week of September 15 … – Solutions Review

Solutions Review editors curated this list of the most noteworthy storage and data protection news items for the week of September 15, 2023.

Keeping tabs on all the most relevant storage and data protection news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy storage and data protection news items.

Watch this space each week as Solutions Review editors will use it to share new Expert Insights Series articles, Contributed Shorts videos, Expert Roundtable and event replays, and other curated content to help you gain a forward-thinking analysis and remain on-trend. All to meet the demand for what its editors do best: bring industry experts together to publish the webs leading insights for enterprise technology practitioners.

With the next Solutions Spotlight event, the team at Solutions Review has partnered with network solutions provider Cloudflare. Join this webinar to understand the profound impact DDoS attacks can have on an organizations bottom line and how investing in proactive defenses can yield substantial returns.

Read on for more.

For consideration in future storageand data protection news roundups, send your announcements to the editor: tking@solutionsreview.com.

Tim is Solutions Review's Executive Editor and leads coverage on data management and analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in Data Management, Tim is a recognized industry thought leader and changemaker. Story? Reach him via email at tking@solutionsreview dot com.

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