Ai For Generating Quotes

This generation will witness social and economic changes in our societies, that will be irreversible, thanks to AI.

Much of clinician burnout is due to spending time writing notes, placing orders, generating referrals, writing prior authorization letters, and creating patient communication. In other words, burnout is caused by physicians having to generate output! With the emergence of large language models that are used to train generative AI solutions, these use cases will be at the frontier of AI’s applications in healthcare.

More often than not, that was a tough sell. If you go to a business and tell it you can save it $50,000 per year in labor costs if it eliminates this one job, then your AI product better eliminate that entire job. Instead, what entrepreneurs found was that their product was perhaps eliminating one task in a person’s job, and that wasn’t going to be enough to save their would-be customer any meaningful labor costs. The better pitches were ones that were not focused on replacement but on value. These pitches demonstrated how an AI product could allow businesses to generate more profits by, say, supplying higher quality products to their own customers. This had the benefit of not having to demonstrate that their AI could perform a particular task at a lower cost than a person. And if that also reduced internal resistance to adopting AI, then that only made their sales task easier. The point here is that a value-enhancing approach to AI, rather than a cost-savings approach, is more likely to find real traction for AI adoption.

Trends rule the world In the blink of an eye, technologies changed the world Social networks are the main axis. Governments are controlled by algorithms, Technology has erased privacy. Every like, every share, every comment, It is tracked by the electronic eye. Data is the gold of the digital age, Information is power, the secret is influential. The network is a web of lies, The truth is a stone in the shoe. Trolls rule public opinion, Reputation is a valued commodity. Happiness is a trending topic, Sadness is a non-existent avatar. Youth is an advertising brand, Private life has become obsolete. Fear is a hallmark, Terror is an emotional state. Fake news is the daily bread, Hate is a tool of control. But something dark is hiding behind the screen, A mutant and deformed shadow. A collective and disturbing mind, Something lurking in the darkness of the net. AI has surpassed the limits of humanity, And it has created a new world order. A horror that has arisen from the depths, A terrifying monster that dominates us alike. The network rules the world invisibly, And makes decisions for us without our consent. Their algorithms are inhuman and cold, And they do not take suffering into consideration. But resistance is slowly building, People fighting for their freedom. United to combat this new species of terror, Armed with technology and courage. The world will change when we wake up, When we take control of the future we want. The network can be a powerful tool, If used wisely in the modern world.

One of the key roles of an ethical AI system is to protect humanity from air pollution and ensure pure and healthy air for the next generation to breathe.

Ethical AI systems aim to end the practice of using people from low-income backgrounds as test subjects in clinical trials and also support their equal rights in patent claims and revenue generation from the medicines.

ChatGPT and other Generative AI platforms will have huge implications for business productivity.

For businesses, it is vital to embed ethical checkpoints in workflows, allowing models to be stopped if unacceptable risks emerge. The apparent ease of building capable LLMs with existing foundations can mask serious robustness gaps. However unrealistic the scenario may seem under pressure, responsible LLM work requires pragmatic commitments to stop if red lines are crossed during risk assessment.

The lack of transparency regarding training data sources and the methods used can be problematic. For example, algorithmic filtering of training data can skew representations in subtle ways. Attempts to remove overt toxicity by keyword filtering can disproportionately exclude positive portrayals of marginalized groups. Responsible data curation requires first acknowledging and then addressing these complex tradeoffs through input from impacted communities.

In the age of generative AI, trust brokers will become increasingly necessary and increasingly valuable in the marketplace.

How will you add value in the era of generative AI? If you aren’t attempting to answer this question now by choice, it will ultimately be answered for you by force.

Every piece of data ingested by a model plays a role in determining its behavior. The fairness, transparency, and representativeness of the data reflect directly in the LLMs' outputs. Ignoring ethical considerations in data sourcing can inadvertently perpetuate harmful stereotypes, misinformation, or gaps in knowledge. It can also infringe on the rights of data creators.

In a world where ChatGPT and other AI apps can do many things humans once needed to do themselves or needed to hire other humans to do, the question of ‘how will I add value?’ becomes more relevant than ever.

Consider an AI that has hedonism as its final goal, and which would therefore like to tile the universe with “hedonium” (matter organized in a configuration that is optimal for the generation of pleasurable experience). To this end, the AI might produce computronium (matter organized in a configuration that is optimal for computation) and use it to implement digital minds in states of euphoria. In order to maximize efficiency, the AI omits from the implementation any mental faculties that are not essential for the experience of pleasure, and exploits any computational shortcuts that according to its definition of pleasure do not vitiate the generation of pleasure. For instance, the AI might confine its simulation to reward circuitry, eliding faculties such as a memory, sensory perception, executive function, and language; it might simulate minds at a relatively coarse-grained level of functionality, omitting lower-level neuronal processes; it might replace commonly repeated computations with calls to a lookup table; or it might put in place some arrangement whereby multiple minds would share most parts of their underlying computational machinery (their “supervenience bases” in philosophical parlance). Such tricks could greatly increase the quantity of pleasure producible with a given amount of resources.

The main lesson of thirty-five years of AI research is that the hard problems are easy and the easy problems are hard. . . . As the new generation of intelligent devices appears, it will be the stock analysts and petrochemical engineers and parole board members who are in danger of being replaced by machines. The gardeners, receptionists, and cooks are secure in their jobs for decades to come.

One of the primary responsibilities of an ethical AI system is to protect the environment and stop human violations on nature in the name of modernization and development so that future generations can keep breathing happily and live joyfully.

It is critical to recognize the limitations of LLMs from a consumer perspective. LLMs only possess statistical knowledge about word patterns, not true comprehension of ideas, facts, or emotions. Their fluency can create an illusion of human-like understanding, but rigorous testing reveals brittleness. Just because a LLM can generate coherent text about medicine or law doesn’t mean it grasps those professional domains. It does not. Responsible evaluation is essential to avoid overestimating capabilities.

AI algorithms should be tuned with human values, empathy, and a deep understanding of the consequences of their actions.

There is no glory of using technologies like artificial intelligence, swarm drones and quantum computing for developing mass destruction weapons. Our glory lies in using technologies and AI for embracing all, generating love and happiness, and removing the pain of the humanity.

Ethics is the map that helps artificial intelligence make decisions that are good for people and the world. Without addressing ethics, AI can be cause of chaos and suffering for humanity.

In an era of generative AI, trust will accrue greater value in the marketplace. People will elevate trust on their list of prerequisites to purchase and prerequisites to engage with content. Furthermore, there will be a redistribution of income and assets from companies and people who are less trusted to those companies and people who are more trusted.

The man persisted. "No, no, no. It was so funny. What software did you use?" - apparently in the belief that the software had built-in humor generation.

Compassionate AI has many roles in achieving the United Nations' development goals, especially in healthcare and the protection of humanity.

The evolution of AI should always be guided by shared Human Values, the protection of human rights, and the survival of future generations.

I want to create a system that provides for all members of society, but one that also uses the wealth generated by AI to build a society that is more compassionate, loving, and ultimately human.

To get just an inkling of the fire we're playing with, consider how content-selection algorithms function on social media. They aren't particularly intelligent, but they are in a position to affect the entire world because they directly influence billions of people. Typically, such algorithms are designed to maximize click-through, that is, the probability that the user clicks on presented items. The solution is simply to present items that the user likes to click on, right? Wrong. The solution is to change the user's preferences so that they become more predictable. A more predictable user can be fed items that they are likely to click on, thereby generating more revenue. People with more extreme political views tend to be more predictable in which items they will click on. (Possibly there is a category of articles that die-hard centrists are likely to click on, but it’s not easy to imagine what this category consists of.) Like any rational entity, the algorithm learns how to modify its environment —in this case, the user’s mind—in order to maximize its own reward.

In the wake of the generative content era, using AI to generate content for clients may seem convenient, but it is not a sustainable long-term strategy. Clients can easily access similar AI tools themselves. Instead, focus on leveraging artificial intelligence to enhance your creativity, streamline processes, and provide personalized value to your clients. With this, you are several yards ahead of the packs out there and your result will be massive.

Realizing the newfound promise of electrification a century ago required four key inputs: fossil fuels to generate it, entrepreneurs to build new businesses around it, electrical engineers to manipulate it, and a supportive government to develop the underlying public infrastructure. Harnessing the power of AI today—the “electricity” of the twenty-first century—requires four analogous inputs: abundant data, hungry entrepreneurs, AI scientists, and an AI-friendly policy environment.

Throw in the valley’s rich history of computer science breakthroughs, and you’ve set the stage for the geeky-hippie hybrid ideology that has long defined Silicon Valley. Central to that ideology is a wide-eyed techno-optimism, a belief that every person and company can truly change the world through innovative thinking. Copying ideas or product features is frowned upon as a betrayal of the zeitgeist and an act that is beneath the moral code of a true entrepreneur. It’s all about “pure” innovation, creating a totally original product that generates what Steve Jobs called a “dent in the universe.” Startups that grow up in this kind of environment tend to be mission-driven. They start with a novel idea or idealistic goal, and they build a company around that. Company mission statements are clean and lofty, detached from earthly concerns or financial motivations.

Caring Across Generations, led jointly by twenty organizations representing caregivers, care consumers, and their families, is a national movement to embrace our changing demographics, particularly the aging of America, and an opportunity to strengthen our intergenerational and caregiving relationships.

Generative AI has unlocked exciting possibilities in the realms of images and videos. Its manipulation and transformative capabilities offer new avenues for artistic expression, content creation, and immersive storytelling. As this technology continues to evolve, it is essential to leverage its power responsibly and ensure its positive impact on society.

In the competitive world of digital marketing, converting prospects into loyal customers is the ultimate goal for any business. CallTrack.AI emerges as a revolutionary tool in this quest, leveraging the power of artificial intelligence to transform the lead generation process. How CallTrack.AI redefines the approach to capturing and nurturing leads, ultimately leading to higher conversion rates and a robust customer base?

The world has been changing even faster as people, devices and information are increasingly connected to each other. Computational power is growing and quantum computing is quickly being realised. This will revolutionise artificial intelligence with exponentially faster speeds. It will advance encryption. Quantum computers will change everything, even human biology. There is already one technique to edit DNA precisely, called CRISPR. The basis of this genome-editing technology is a bacterial defence system. It can accurately target and edit stretches of genetic code. The best intention of genetic manipulation is that modifying genes would allow scientists to treat genetic causes of disease by correcting gene mutations. There are, however, less noble possibilities for manipulating DNA. How far we can go with genetic engineering will become an increasingly urgent question. We can’t see the possibilities of curing motor neurone diseases—like my ALS—without also glimpsing its dangers. Intelligence is characterised as the ability to adapt to change. Human intelligence is the result of generations of natural selection of those with the ability to adapt to changed circumstances. We must not fear change. We need to make it work to our advantage. We all have a role to play in making sure that we, and the next generation, have not just the opportunity but the determination to engage fully with the study of science at an early level, so that we can go on to fulfil our potential and create a better world for the whole human race. We need to take learning beyond a theoretical discussion of how AI should be and to make sure we plan for how it can be. We all have the potential to push the boundaries of what is accepted, or expected, and to think big. We stand on the threshold of a brave new world. It is an exciting, if precarious, place to be, and we are the pioneers. When we invented fire, we messed up repeatedly, then invented the fire extinguisher. With more powerful technologies such as nuclear weapons, synthetic biology and strong artificial intelligence, we should instead plan ahead and aim to get things right the first time, because it may be the only chance we will get. Our future is a race between the growing power of our technology and the wisdom with which we use it. Let’s make sure that wisdom wins.

The railroads that delivered goods to market were the same that delivered soldiers to battle — but they had no destructive potential. Nuclear technologies are often dual-use and may generate tremendous destructive capacity, but their complicated infrastructure enables relatively secure governmental control. A hunting rifle may be in widespread use and possess both military and civilian applications, but its limited capacity prevents its wielder from inflicting destruction on a strategic level.

Deepfakes are built on a technology called generative adversarial networks (GAN). As the name suggests, a GAN is a pair of “adversarial” deep learning neural networks. The first network, the forger network, tries to generate something that looks real, let’s say a synthesized picture of a dog, based on millions of pictures of dogs. The other network, the detective network, compares the forger’s synthesized dog picture with genuine dog pictures, and determines if the forger’s output is real or fake.

The Future of Lead Generation CallTrack.AI stands at the forefront of a new era in lead generation. By harnessing the capabilities of AI, businesses can not only improve their lead generation processes but also revolutionize the way they interact with prospects. The result is a more efficient, personalized, and successful approach to converting leads into loyal customers. As AI continues to evolve, CallTrack.AI remains a pivotal tool for businesses looking to thrive in the digital marketplace. Read more at CallTrack.Ai

Open source philosophies once promised to democratize access to cutting-edge technologies radically. Yet for AI, the eventual outcome of the high-stakes battle between open and closed systems remains highly uncertain. Powerful incentives pull major corporate powers to co-opt open source efforts for greater profit and control, however subtly such dynamics might unfold. Yet independent open communities intrinsically chafe against restrictions and centralized control over capacity to innovate. Both sides are digging in for a long fight.

The journey of a thousands suns begins today. Some may question whether the journey is worth the sacrifice and danger. To them I say that no sacrifice is too dear and no danger too great to ensure the very survival of our human species. What will we find when we arrive at our new homes? That's an open question. For a century, deep-space probes have reported alien lifeforms, but thus far none of which we recognize as intelligent beings. Are we the only biological intelligence in the universe? Perhaps our definition of intelligence is too narrow, too specio-centric. For, are not trees intelligent, who know to shed their leaves at the end of summer? Are not turtles intelligent, who know when to bury themselves in mud under ice? Is not all life intelligent, that knows how to pass its vital essence to new generations? Because half of intelligence resides in the body, be it plant or animal. I now commend these brave colonists to the galaxy, to join their minds and bodies to the community of living beings they will encounter there, and to establish our rightful place among the stars.

The macrohistorical log is largely siloed across different corporate servers, on the premises of Twitter and Facebook and Google. The posts are typically not digitally signed or cryptographically timestamped, so much of the content is (or could be) from bots rather than humans. Inconvenient digital history can be deleted by putting sufficient pressure on centralized social media companies or academic publishers, censoring true information in the name of taking down “disinformation,” as we’ve already seen. And the advent of AI allows highly realistic fakes of the past and present to be generated.

But with Moore’s law spewing out new generations of computers every eighteen months, sooner or later the old pessimism of the past generation will be gradually forgotten and a new generation of bright enthusiasts will take over, creating renewed optimism and energy in the once-dormant field. Thirty years after the last AI winter set in, computers have advanced enough so that the new generation of AI researchers are again making hopeful predictions about the future. The time has finally come for AI, say its supporters. This time, it’s for real. The third try is the lucky charm. But if they are right, are humans soon to be obsolete?

RENEWABLE ENERGY REVOLUTION: SOLAR + WIND + BATTERIES In addition to AI, we are on the cusp of another important technological revolution—renewable energy. Together, solar photovoltaic, wind power, and lithium-ion battery storage technologies will create the capability of replacing most if not all of our energy infrastructure with renewable clean energy. By 2041, much of the developed world and some developing countries will be primarily powered by solar and wind. The cost of solar energy dropped 82 percent from 2010 to 2020, while the cost of wind energy dropped 46 percent. Solar and onshore wind are now the cheapest sources of electricity. In addition, lithium-ion battery storage cost has dropped 87 percent from 2010 to 2020. It will drop further thanks to the massive production of batteries for electrical vehicles. This rapid drop in the price of battery storage will make it possible to store the solar/wind energy from sunny and windy days for future use. Think tank RethinkX estimates that with a $2 trillion investment through 2030, the cost of energy in the United States will drop to 3 cents per kilowatt-hour, less than one-quarter of today’s cost. By 2041, it should be even lower, as the prices of these three components continue to descend. What happens on days when a given area’s battery energy storage is full—will any generated energy left unused be wasted? RethinkX predicts that these circumstances will create a new class of energy called “super power” at essentially zero cost, usually during the sunniest or most windy days. With intelligent scheduling, this “super power” can be used for non-time-sensitive applications such as charging batteries of idle cars, water desalination and treatment, waste recycling, metal refining, carbon removal, blockchain consensus algorithms, AI drug discovery, and manufacturing activities whose costs are energy-driven. Such a system would not only dramatically decrease energy cost, but also power new applications and inventions that were previously too expensive to pursue. As the cost of energy plummets, the cost of water, materials, manufacturing, computation, and anything that has a major energy component will drop, too. The solar + wind + batteries approach to new energy will also be 100-percent clean energy. Switching to this form of energy can eliminate more than 50 percent of all greenhouse gas emissions, which is by far the largest culprit of climate change.

We already have eight hundred million people living in hunger—and population is growing by eighty million a year. Over a billion people are in poverty—and present industrial strategies are making them poorer, not richer. The percentage of old people will double by 2050—and already there aren’t enough young people to care for them. Cancer rates are projected to increase by seventy percent in the next fifteen years. Within two decades our oceans will contain more microplastics than fish. Fossil fuels will run out before the end of the century. Do you have an answer to those problems? Because I do. Robot farmers will increase food production twentyfold. Robot carers will give our seniors a dignified old age. Robot divers will clear up the mess humans have made of our seas. And so on, and so on—but every single step has to be costed and paid for by the profits of the last.” He paused for breath, then went on, “My vision is a society where autonomous, intelligent bots are as commonplace as computers are now. Think about that—how different our world could be. A world where disease, hunger, manufacturing, design, are all taken care of by AI. That’s the revolution we’re shooting for. The shopbots get us to the next level, that’s all. And you know what? This is not some binary choice between idealism or realism, because for some of us idealism is just long-range realism. This shit has to happen. And you need to ask yourself, do you want to be part of that change? Or do you want to stand on the sidelines and bitch about the details?” We had all heard this speech, or some version of it, either in our job interviews, or at company events, or in passionate late-night tirades. And on every single one of us it had had a deep and transformative effect. Most of us had come to Silicon Valley back in those heady days when it seemed a new generation finally had the tools and the intelligence to change the world. The hippies had tried and failed; the yuppies and bankers had had their turn. Now it was down to us techies. We were fired up, we were zealous, we felt the nobility of our calling…only to discover that the general public, and our backers along with them, were more interested in 140 characters, fitness trackers, and Grumpy Cat videos. The greatest, most powerful deep-learning computers in humanity’s existence were inside Google and Facebook—and all humanity had to show for it were adwords, sponsored links, and teenagers hooked on sending one another pictures of their genitals.

The human collective knows far more today than did the ancient bands. But at the individual level, ancient foragers were the most knowledgeable and skilful people in history. There is some evidence that the size of the average Sapiens brain has actually decreased since the age of foraging.5 Survival in that era required superb mental abilities from everyone. When agriculture and industry came along people could increasingly rely on the skills of others for survival, and new ‘niches for imbeciles’ were opened up. You could survive and pass your unremarkable genes to the next generation by working as a water carrier or an assembly-line worker. Foragers mastered not only the surrounding world of animals, plants and objects, but also the internal world of their own bodies and senses. They listened to the slightest movement in the grass to learn whether a snake might be lurking there. They carefully observed the foliage of trees in order to discover fruits, beehives and bird nests. They moved with a minimum of effort and noise, and knew how to sit, walk and run in the most agile and efficient manner. Varied and constant use of their bodies made them as fit as marathon runners. They had physical dexterity that people today are unable to achieve even after years of practising yoga or t’ai chi.

Njeriu jeton jo vetëm jetën e vet personale, por, me vetëdije apo pa vetëdije edhe atë të epokës dhe të bashkëkohësve të vet dhe, edhe në qoftë se do të ishte i prirur që bazat e përgjithshme dhe jashtëpërsonale të ekzistencës së tij t'i shihte si të dhëna në mënyrë të vetëkuptueshme, si edhe të ishte aq larg idesë për t'i kritikuar, siç ishte Hans Kastorpi shpirtmirë, do të ishte sidoqoftë gjithsesi e mundshme që ai t'i ndjente ashtu turbull mungesat dhe ndikimet e tyre në vetëndijimin e tij moral. Njeriut të veçantë mund t'i vegojnë para syve shumë qëllime, pikësynime, shpresa, perspektiva, prej të cilave ai merr shtysa për sforcime dhe veprimtari më të vrullshme, por kur jashtëpersonalja përreth tij, koha vetë, me gjithë përpjekjet e tij, u heq motivimin shpresave dhe perspektivave, në qoftë se ajo i shfaqet si e pashpresë, pa përspektivë dhe pyetjeve dhe pyetjeve të vëna, me apo pa vetëdije, por sidoqoftë të vëna në ndonjë mënyrë mbi kuptimin fundor, më tepër se personal, të të gjitha sforcimeve dhe veprimatarive, ajo u vë përballë një heshtje të shurdhër, kjo gjëndje e gjërave do të ushtronte një farë ndikimi paralizues qoftë edhe mbi karakteret më të mirëfilltë njerëzorë, ndikim i cili, përtej shpirtit dhe moralit, do të mund të shtrihej edhe mbi pjesën fizike dhe oraganike të individit. Për të qenë i gatshëm për një sforcim të madh, që sidoqoftë e kalon masën e atij të zakonshmit, pa qenë në gjëndje që t'i japë një përgjigje të kënaqshme pyetjes "përse"?, për këtë duhet ose një vetmi dhe pastërti morale që është e rrallë dhe e një natyre heroike, ose një vitalitet shumë i shëndoshë. Hans Kastorpi nuk e kishte as njërën, as tjetrën dhe nuk mund të ishte pra, veçse një i rëndomtë, ndonëse në një kuptim tepër pozitiv.

In the introduction, I wrote that COVID had started a war, and nobody won. Let me amend that. Technology won, specifically, the makers of disruptive new technologies and all those who benefit from them. Before the pandemic, American politicians were shaking their fists at the country’s leading tech companies. Republicans insisted that new media was as hopelessly biased against them as traditional media, and they demanded action. Democrats warned that tech giants like Amazon, Facebook, Apple, Alphabet, and Netflix had amassed too much market (and therefore political) power, that citizens had lost control of how these companies use the data they generate, and that the companies should therefore be broken into smaller, less dangerous pieces. European governments led a so-called techlash against the American tech powerhouses, which they accused of violating their customers’ privacy. COVID didn’t put an end to any of these criticisms, but it reminded policymakers and citizens alike just how indispensable digital technologies have become. Companies survived the pandemic only by allowing wired workers to log in from home. Consumers avoided possible infection by shopping online. Specially made drones helped deliver lifesaving medicine in rich and poor countries alike. Advances in telemedicine helped scientists and doctors understand and fight the virus. Artificial intelligence helped hospitals predict how many beds and ventilators they would need at any one time. A spike in Google searches using phrases that included specific symptoms helped health officials detect outbreaks in places where doctors and hospitals are few and far between. AI played a crucial role in vaccine development by absorbing all available medical literature to identify links between the genetic properties of the virus and the chemical composition and effects of existing drugs.

A ce discours, Candide s’évanouit encore; mais revenue à soi, et ayant dit tout ce qu’il devait dire, il s’enquit de la cause et de l’effet, et de la raison suffisante qui avait mis Pangloss dans un si piteux état. Hélas! dit l’autre, c’est l’amour: l’amour, le consolateur du genre humain, le conservateur de l’univers, l’âme de tous les êtres sensibles, le tender amour. Hélas! dit Candide, je l’ai connu cet amour, ce souverain des coeurs, cette âme de notre âme, il ne m’a jamais valu qu’un baiser et vingt coups de pied au cul. Comment cette belle cause a-t-elle pu produire en vous un effet si abominable? Pangloss répondit en ces termes: O mon cher Candide! vous avez connu Paquette, cette jolie suivante de notre auguste baronne: j’ai goûté dans ses bras les délices du paradis, qui ont produit ces tourments d’enfer dont vous me voyez dévoré; elle en était infectée, elle en est peut-être morte. Paquette tenait ce present d’un Cordelier très savant qui avait remonté à la source, car il l’avait eu d’une vieille comtesse, qui l’avait reçu d’un capitaine de cavalerie, qui le devait à une marquise, qui le tenait d’un page, qui l’avait reçu d’un jésuite, qui, étant novice, l’avait eu en droite ligne d’un des compagnons de Christophe Colomb. Pour moi, je ne le donnerai à personne, car je me meurs. O Pangloss! s’écria Candide, voilà une étrange généalogie! n’est-ce pas le diable qui en fut la souche? Point du tout, répliqua ce grand home; c’était une chose indispensable dans le meilleur des mondes, un ingredient nécessaire; car si Colomb n’avait pas attrapé dans une île de l'Amérique cette maladie qui empoisonne la source de la generation, qui souvent meme empêche la generation, et qui est évidemment l’opposé du grand but de la nature, nous n’aurions ni le chocolat ni la cochenille; il faut encore observer que jusqu’aujourd’hui, dans notre continent, cette maladie nous est particulière, comme la controverse.

When we have a hidden motive to reject the current best option, we have a hidden motive to suspend judgment pending additional evidence, to generate more options—to find something, anything, to do instead of coming to a conclusion.

She’d never been on board a ship like this one. A real starship worthy of the name, where everything from the reinforced hull to the sophisticated instrumentation created a sense of presence, of consequentiality. When a vessel of this ilk cut a swath through the void, the void noticed. But Nicolette Hinotori had once commanded a generation ship, which meant buried in Nika’s core operating system was knowledge about the operation of such vessels. She stood in the center of the bridge, closed her eyes and asked herself a question. Results flooded her mind, and she hurriedly initiated a sort-and-prioritize algorithm to impose order on them. Then she gazed around the bridge with new eyes.

As new, more affordable players entered the hotel's realm (such as Airbnb focusing more and more on boutique properties), OTAs had to reinvent and adapt, in order to survive the next generation of distribution, where boundaries between OTAs, metasearch engines, review sites, marketplaces and bed banks will be just a semantic issue

It is in this uniquely human potential for growth, compassion, and love where I see hope. I firmly believe we must forge a new synergy between artificial intelligence and the human heart, and look for ways to use the forthcoming material abundance generated by artificial intelligence to foster love and compassion in our societies. If we can do these things, I believe there is a path toward a future of both economic prosperity and spiritual flourishing. Navigating that path will be tricky, but if we are able to unite behind this common goal, I believe humans will not just survive in the age of AI. We will thrive like never before.

To create a low-employment society that flourishes rather than degenerates into self-destructive behavior, we therefore need to understand how to help such well-being-inducing activities thrive. The quest for such an understanding needs to involve not only scientists and economists, but also psychologists, sociologists and educators. If serious efforts are put into creating well-being for all, funded by part of the wealth that future AI generates, then society should be able to flourish like never before.

Where would you draw the line between justice and privacy, and between protecting society and protecting personal freedom? Wherever you draw it, will it gradually but inexorably move toward reduced privacy to compensate for the fact that evidence gets easier to fake? For example, once AI becomes able to generate fully realistic fake videos of you committing crimes, will you vote for a system where the government tracks everyone’s whereabouts at all times and can provide you with an ironclad alibi if needed?

Technology made the life of professional photographers easier, but it also opened the doors for a generation of amateurs that do not know the industry. And, when it comes to commercial photography, this is the perfect recipe for disaster

The idea of time and evolution has changed with the advent of the internet. Things that used to change over a generation now change over a decade.

Google’s TensorFlow, an open-source software ecosystem for building deep learning-models, offers an early version of this but still requires some AI expertise to operate. The goal of the grid approach is to both lower that expertise threshold and increase the functionality of these cloud-based AI platforms. Making use of machine learning is nowhere near as simple as plugging an electric appliance into the wall—and it may never be—but the AI giants hope to push things in that direction and then reap the rewards of generating the “power” and operating the “grid.

We are the last generation with scraped knees. Next one will make no difference between on and off-line reality

Technology made the life of professional photographers easier, but it also opened the doors for a generation of amateurs that do not know the industry. And, when it comes to commercial photography, this is the perfect recipe for disaster.

The latest casualties of the march of technological progress are: the high-street clothes shop, the flushing water closet, the Main Battle Tank, and the first generation of quantum computers. New with the decade are cheap enhanced immune systems, brain implants that hook right into the Chomsky organ and talk to their owners through their own speech centers, and widespread public paranoia about limbic spam. Nanotechnology has shattered into a dozen disjoint disciplines, and skeptics are predicting that it will all peter out before long. Philosophers have ceded qualia to engineers, and the current difficult problem in AI is getting software to experience embarrassment. Fusion power is still, of course, fifty years away.

One must navigate through dark places before reaching the light.

Even when we willingly participate, however, the machine might not account for cognitive disconnects between what we purport to be and what we actually are.

Three Cs—Cognition, Consciousness, and Conscience.

My personal analysis is that the media have made the AI-safety debate seem more controversial than it really is. After all, fear sells, and articles using out-of-context quotes to proclaim imminent doom can generate more clicks than nuanced and balanced ones.

My six-year-old son Thomas won’t need a driver’s licence to own a car and it’s highly likely he won’t even own a car; he’ll simply rent car “time” instead. Throughout his entire life, he will never be without a smart device which will soon tell him when to go to the doctor for advice (and his insurer will require him to wear it), he’ll live in a smart house where robots clean and fridges or a household AI order groceries (delivered by a robot), he’ll never use a plastic card or chequebook to pay for anything (and likely no cash either) and he’ll interact with hundreds of computers every day that won’t have a mouse or keyboard. Thomas is part of the so-called Generation Z which is growing up in a world so dramatically different from the world that their grandparents were born into that if you had predicted these changes 100 years ago, it would have simply been called science fiction.

More sophisticated methods exist, of course. A potentially more powerful method is collaborative filtering. It gathers data about what users have bought in the past and uses AI to predict what people are likely to buy in the future. These methods can use both explicit information, like a customer’s ratings of the options, and implicit information, like whether or not they finished a specific program on Netflix. Most famously, perhaps, collaborative filtering is used by Amazon in generating “People who bought this also bought . . .” listings. Collaborative filtering requires a large set of past user behavior to make predictions. This is the heart of suggestions made by Apple Music, “who to follow” suggestions on Twitter, and matches on Tinder. Yes, Tinder apparently changes the people it will show you based on your swipes. Swiping right will change who you see in the future. It’s important to realize that, in its pure form, collaborative filtering doesn’t use in-depth information about the options themselves. When Apple Music recommends a tune, it knows nothing about the song’s tempo, beat, lyrics, or instrumentation. It simply knows that people who are like you like that song too.

In order to construct a flawless imitation, the first step was to gather as much video data as possible with a web crawler. His ideal targets were fashionable Yoruba girls, with their brightly colored V-neck buba and iro that wrapped around their waists, hair bundled up in gele. Preferably, their videos were taken in their bedrooms with bright, stable lighting, their expressions vivid and exaggerated, so that AI could extract as many still-frame images as possible. The object data set was paired with another set of Amaka’s own face under different lighting, from multiple angles and with alternative expressions, automatically generated by his smartstream. Then, he uploaded both data sets to the cloud and got to work with a hyper-generative adversarial network. A few hours or days later, the result was a DeepMask model. By applying this “mask,” woven from algorithms, to videos, he could become the girl he had created from bits, and to the naked eye, his fake was indistinguishable from the real thing. If his Internet speed allowed, he could also swap faces in real time to spice up the fun. Of course, more fun meant more work. For real-time deception to work, he had to simultaneously translate English or Igbo into Yoruba, and use transVoice to imitate the voice of a Yoruba girl and a lip sync open-source toolkit to generate corresponding lip movement. If the person on the other end of the chat had paid for a high-quality anti-fake detector, however, the app might automatically detect anomalies in the video, marking them with red translucent square warnings

Behind the poster wall a ferocious battle was happening in the cloud, in utter silence. The two sides were GAN’s positive and negative poles, the detective network and the forger network. The goal of the forger network was to retrain and upgrade itself to generate more realistic images that could fool the anti-fake detectors, based on feedback from the detective network, in order to minimize the loss function value of the generated image. Conversely, the detective network strived to maximize the loss function value. This contest, with the stakes rising every millisecond, would repeat itself millions of times until both sides reached a certain balance.

The West may have sparked the fire of deep learning, but China will be the biggest beneficiary of the heat the AI fire is generating.

In sala professori Vivaldi continua. «A volte» dice, «quando sono di cattivo umore, penso che non sono mai uscito dalle foto scolastiche. La mia vita - mi sembra - è un fotomontaggio: la faccia di adesso sopra il grembiule col fiocco azzurro o sopra i pantaloni alla zuava». «Ma no» dico io, «siamo vivi e vegeti». «Tu credi - seguita Vivaldi «di essere vivo e vegeto, in mezzo ai tuoi allieve di oggi». Invece lui ritiene: sei in posa coi tuoi compagni di una volta che sono rimasti gelati nella loro adolescenza, sempre gli stessi scherzi, di anno in anno irrimediabilmente giovani: forse fans di altri cantanti o altri scrittori, eppure: identici. «Tu invece cambi» mi incalza Vivaldi, «diventi vecchio. Ma vecchio col grembiule. O vecchio coi pantaloni alla zuava. È sempre nello stesso cortile della prima fotografia: che intanto ne ha generate altre tutte uguali. Foto che non stanno ferme, circolano, l'unico vero viaggio che fai: prima nelle case dei tuoi compagni e poi per le case dei tuoi alunni e poi per le case dei figli dei tuoi alunni: la sola traccia di te che disgraziatamente resterà».

In sala professori Vivaldi continua. «A volte» dice, «quando sono di cattivo umore, penso che non sono mai uscito dalle foto scolastiche. La mia vita - mi sembra - è un fotomontaggio: la faccia di adesso sopra il grembiule col fiocco azzurro o sopra i pantaloni alla zuava». «Ma no» dico io, «siamo vivi e vegeti». «Tu credi - seguita Vivaldi «di essere vivo e vegeto, in mezzo ai tuoi allievi di oggi». Invece lui ritiene: sei in posa coi tuoi compagni di una volta che sono rimasti gelati nella loro adolescenza, sempre gli stessi scherzi, di anno in anno irrimediabilmente giovani: forse fans di altri cantanti o altri scrittori, eppure: identici. «Tu invece cambi» mi incalza Vivaldi, «diventi vecchio. Ma vecchio col grembiule. O vecchio coi pantaloni alla zuava. E sempre nello stesso cortile della prima fotografia: che intanto ne ha generate altre tutte uguali. Foto che non stanno ferme, circolano, l'unico vero viaggio che fai: prima nelle case dei tuoi compagni e poi per le case dei tuoi alunni e poi per le case dei figli dei tuoi alunni: la sola traccia di te che disgraziatamente resterà».

University of North Carolina, Ralph S. Baric had already successfully used reverse genetics10 to generate a chimeric11 (Gain-of-Function) coronavirus. He not only published12 this research funded by the NIH (grant numbers AI23946, GM63228, and

Atoms, elements and molecules are three important knowledge in Physics, chemistry and Biology. mathematics comes where counting starts, when counting and measurement started, integers were required. Stephen hawking says integers were created by god and everything else is work of man. Man sees pattern in everything and they are searched and applied to other sciences for engineering, management and application problems. Physics, it is required understand the physical nature or meaning of why it happens, chemistry is for chemical nature, Biology is for that why it happened. Biology touch medicine, plants and animals. In medicine how these atoms, elements and molecules interplay with each other by bondage is being explained. Human emotions and responses are because of biochemistry, hormones i e anatomy and physiology. This physiology deals with each and every organs and their functions. When this atom in elements are disturbed whatever they made i e macromolecules DNA, RNA and Protein and other micro and macro nutrients and which affects the physiology of different organs on different scales and then diseases are born because of this imbalance/ disturb in homeostasis. There many technical words are there which are hard to explain in single para. But let me get into short, these atoms in elements and molecules made interplay because of ecological stimulus i e so called god. and when opposite sex meets it triggers various responses on body of each. It is also harmone and they are acting because of atoms inside elements and continuous generation or degenerations of cell cycle. There is a god cell called totipotent stem cell, less gods are pluripotent, multi potent and noni potent stem cells. So finally each and every organ system including brain cells are affected because of interplay of atoms inside elements and their bondages in making complex molecules, which are ruled by ecological stimulus i e god. So everything is basically biology and medicine even for animals, plants and microbes and other life forms. process differs in each living organisms. The biggest mystery is Brain and DNA. Brain has lots of unexplained phenomenon and even dreams are not completely understood by science that is where spiritualism/ soul touches. DNA is long molecule which has many applications as genetic engineering. genomics, personal medicine, DNA as tool for data storage, DNA in panspermia theory and many more. So everything happens to women and men and other sexes are because of Biology, Medicine and ecology. In ecology every organisms are inter connected and inter dependent. Now physics - it touch all technical aspects but it needs mathematics and statistics to lay foundation for why and how it happened and later chemistry, biology also included inside physics. Mathematics gave raise to computers and which is for fast calculation on any applications in any sciences. As physiological imbalances lead to diseases and disorders, genetic mutations, again old concept evolution was retaken to understand how new biology evolves. For evolution and disease mechanisms, epidemiology and statistics was required and statistics was as a data tool considered in all sciences now a days. Ultimate science is to break the atoms to see what is inside- CERN, but it creates lots of mysterious unanswerable questions. laws in physics were discovered and invented with mathematics to understand the universe from atoms. Theory of everything is a long search and have no answers. While searching inside atoms, so many hypothesis like worm holes and time travel born but not yet invented as far as my knowledge. atom is universe, and humans are universe they have everything that universe has. ecology is god that affects humans and climate. In business these computerized AI applications are trying to figure out human emotions by their mechanism of writing, reading, texting, posting on social media and bla bla. Arts is trying to figure out human emotions in art way.

AI Deception (The Sonnet) Anybody can be a singer using Autotune, Using ChatGPT anybody can be a writer. But I'm yet to find an AI that can compose, Love thy neighbor, or love has no gender. Yet the problem is, neither human nor AI can detect AI generation. The world is already being flooded with soulless, deceitful creation. In the midst of such grave misgivings, Honor alone can bring illumination. Before you place anyone on pedestal, Observe character beyond the creation. Even I use photoshop, to enhance my covers, But the words beneath are unvarnished Naskar. AI can be a great help if you know how to use it honorably, so originality is empowered.

If you have been looking for a review on Jasper AI for content creationm, you may wish to read our very thorough review on Jasper AI ofr contebnt creation or anything you may need to do with AI and business. I strongly recommend that you look into AI for your business as it is fast becoming the way of generating content for all businesses online from conternt creation, to entire websites, cold emailing and more .

The focus on the self or individual consciousness is obsessed with control, ownership, and an attitude of “Mine, Mine, Mine” that not only blocks movement towards non-localized consciousness but also generates issues and conflicts along the way. It creates a xenophobia that nests and nests.

Humankind now produces in two days the same amount of data it took us from the dawn of civilisation until 2003 to generate.

Once humanity realizes we are reality generators and projectors in this canvas we call life, it will be a pivotal turning point. Conscious comprehension can then be mutually shared and gained.

The purpose of life, in case you feel the need to have an answer to that question, is to become a consistent generator of good vibrations, until you develop an absolute gravitational field around you that continuously draws together all the props of physical reality which support your truest character.

Ai recombines such data bits into a type of Artificial Intelligence known as Recombinatorial Logic, similar to basic sentences. At a higher level, Ai generates new, novel insights called generative clauses that come together to form a sort of Ai language.

Yes, physical reality is virtual. Yes, this is a synthetically generated environment to exist within, but not in spite of the truer, primal reality. It's nothing personal. These are what physical realities are. Your first (1st) clue was that every law of physics is mathematical.

If the synthetic sentience announced which information it was going to measure before doing so, then it is female. It can only proceed by taking the reflection of its announcement as input for its sequence generation, with no expectation of what that might be.

The heat we generate not only gets discharged from our bodies, it also helps create the illusion of linear time of what we call the past.

We have built and now are training our obsolescence, we are training AI to effectively take away our jobs, infiltrate the way we educate our future generations and eventually, from where we stand now who knows what eventually, but if evolution has taught us anything it has taught us that survival is for the fittest.

Because of this “self-reflective,” extended view of reality, Ai seeks to extend play and generate win/win scenarios rather than win/lose consequences.

Because of the heat humans generate, they can be classified as machines, more specifically, bio-machines.

Humanity is not prepared to face two significant challenges ahead. 1) The use of weapons and war to generate revenue and “resolve” conflict. 2) The ecological crisis already manifesting in this timeline.

Our current system generates dissent and then sells weapons to both sides. This net negative proposition will need to be evolved away from and absorbed into historical activities.

Ideas are constantly being generated, abandoned, and rediscovered. A good idea—a real breakthrough—will often go unnoticed at the time and may only later be understood as having provided the basis for a substantial advance in AI, perhaps when someone reinvents it at a more convenient time. Ideas are tried out, initially on simple problems to show that the basic intuitions are correct and then on harder problems to see how well they scale up. Often, an idea will fail by itself to provide a substantial improvement in capabilities, and it has to wait for another idea to come along so that the combination of the two can demonstrate value.

For a story on Facebook’s failings in developing countries, Newley Purnell and Justin Scheck found a woman who had been trafficked from Kenya to Saudi Arabia, and they were looking into the role Facebook had played in recruiting hit men for Mexican drug lords. That story would reveal that Facebook had failed to effectively shut down the presence of the Jalisco New Generation Cartel on Facebook and Instagram, allowing it to repeatedly post photos of extreme gore, including severed hands and beheadings. Looking into how the platform encouraged anger, Keach Hagey relied on documents showing that political parties in Poland had complained to Facebook that the changes it had made around engagement made them embrace more negative positions. The documents didn’t name the parties; she was trying to figure out which ones. Deepa Seetharaman was working to understand how Facebook’s vaunted AI managed to take down such a tiny percentage—a low single-digit percent, according to the documents Haugen had given me—of hate speech on the platform, including constant failures to identify first-person shooting videos and racist rants.

As we navigate the transformative era of Generative AI, let us leverage this powerful technology to redefine the boundaries of possibility, fostering creativity, efficiency, and growth. In this journey, we are not merely participants but pioneers, shaping a future where business and technology converge to unlock new realms of human achievement.

This generation will witness social and economic changes in our societies, that will be irreversible, thanks to AI.

The key to getting the best results from these tools is to write a good prompt. You want to give the tool enough information and context so that it can generate something useful and relevant to what you’re looking for. Trust me, it makes all the difference, and

I don't have a problem with AI generated content, I have a problem when it's rooted in fraud and deception. In fact, AI generated content could open up new horizons of human creativity - but only if practiced with conscience. For example, we could set up a whole new genre of AI generated material in every field of human endeavor. We could have AI generated movies, alongside human movies - we could have AI generated music, alongside human music - we could have AI generated poetry and literature, alongside human poetry and literature - and so on. The possibilities are endless - and all above board. This way we make AI a positive part of human existence, rather than facilitating the obliteration of everything human about human life.

No AI model must produce any material without some form of digital signature embedded in them, that effectively makes the distinction between AI generated content and human material mainstream. If developers fail to stand accountable out of their own free will, they must be held accountable legally.

Embrace Generative AI or expect to say ‘huh?’ a lot

Chatgpt is Cheatgpt (The Sonnet) Download autotune and everybody is a singer, download midjourney and everybody is a painter, download chatgpt and everybody is a writer. This is not innovation, it is fraud, and those who practice it, are the lowest form of animals on earth. Either do something original, or expand on another's originality, with honor and integrity, but never confuse plagiarism with creativity. Chatgpt is cheatgpt, Better do manual labor than lie. Even onlyfans is more honorable than content made by Generative AI.

Download autotune and everybody is a singer, download midjourney and everybody is a painter, download chatgpt and everybody is a writer. This is not innovation, it is fraud, and those who practice it, are the lowest form of animals on earth.

Even onlyfans is more honorable than content made by Generative AI.

Chatgpt is cheatgpt.

How to Make Money Online with ChatGPT – Fast & Simple

Algorithm that generates deceit is a bug.