Ai In Education Quotes

Cognitive robotics can integrate information from pre-operation medical records with real-time operating metrics to guide and enhance the precision of physicians’ instruments. By processing data from genuine surgical experiences, they’re able to provide new and improved insights and techniques. These kinds of improvements can improve patient outcomes and boost trust in AI throughout the surgery. Robotics can lead to a 21% reduction in length of stay.

I believe that at the end of the century the use of words and general educated opinion will have altered so much that one will be able to speak of machines thinking without expecting to be contradicted.

The issue of reimbursement by payers is an important factor that should be discussed. Is it possible that if radiologists use AI to read scans, they’ll receive less reimbursement? Or to approach this from the other angle, if payers are reimbursing for the use of AI, will they pay radiologists less as a result? My discussions with insurance executives have shown that they don’t think this is likely. If the use of these technologies will improve patient outcomes and lead to fewer errors, there are benefits to them that will motivate executives to pay for them in addition to radiologists’ reading fees.

As AI technology matures paired with the continued implementation of Blockchain technology, I think we'll see a lot of analyst, educator and lawyer jobs for example be repositioned into the consulting industry. Consulting will pretty much be a broad category for all jobs involved in the gathering, utilization and sale of actionable data.

Compassionate AI can help people who are suffering in the prison for years, due to lack of legal support, money and education.

Jocul, ispravit mereu printr-o cazatura, nu era decat o poveste care anunta viitorul. Asa cum sunt toate jocurile copilariei: marionetele ne arata cat de scurta si de tulburata ne e viata, de-a v-ati ascunselea ne invata cum se cauta emotiile, Inelus-invartecus, cat ai de alergat ca sa-ti indeplinesti dorintele, iar de-a baba oarba, dragostea oarba si dibuitul.

Ca să ai o societate motivată, trebuie să ai oameni motivați, iar pe oameni începi să-i motivezi încă din școală. Mai târziu va fi mai greu, deși nu imposibil.

You won’t be replaced by an AI, but you might be replaced by someone using AI

Ethical AI systems aim to provide equal educational opportunities to students from low-income and high-income backgrounds.

Instead of the education system banning ChatGPT from schools, the focus should be geared towards educating students on how to properly use AI tools. Schools should be at the forefront of innovation and technological progress NOT a place for preserving obsolete learning methods and clinging onto archaic practices that are no longer relevant for the world we live in.

A recent report claims the Chinese government is already using cutting-edge AI and neurotechnology to analyze facial expressions and brain waves to see if a person is attentive to “thought and political education.

Even with our immense wealth and technology, we continue to abuse the planet and each other for the sake of easy packaging and a cheap, disposable lifestyle. Unchecked population continues to outstrip the availability of housing, water, food, education, and jobs, while we squabble over politics, religion, gender, race, and nationality. Factor in the unrelenting advance of climate change, ocean acidification, the sixth extinction, the nuclear waste time bomb, ground water depletion, the social cancer of wealth inequality, dystopian surveillance, and the unstoppable US deficit growth and that’s a really bad news day for most of the planet during any age.

Anne Marie's beauty and style belie a down-and-dirty education in the particulars of practical AI (artificial insemination). She has miked a boar of his prodigious ejaculate--over two hundred milliliters (a cup), as compared to a man's three milliliters--and she has done it with her hand. For, unlike stallions and bulls, boars don't cotton to artificial vaginas. (in part, because their penis, like their tail, is corkscrewed.) AI techs must squeeze the organ in their hand--hard and without letup--for the entire duration of the ejaculation: from five to fifteen minutes. "You should see the size of their hands," she says, of the men and women who regular ejaculate boars.

Il était ulcéré par le fait que la plupart des gens ne veuillent pas s'exprimer. Il gardait dans sa poche un poème de Martin Niemöller, qui vivait dans l'Allemagne nazie. Il disait: “Lorsqu'ils sont venus chercher les communistes, je n'ai rien dit, je n'étais pas communiste. Lorsqu'ils ont emprisonné les socialistes, je n'ai rien dit, je n'étais pas socialiste. Lorsqu'ils sont venus chercher les syndicalistes, je n'ai rien dit, je n'étais pas syndicaliste. Lorsqu'ils sont venus chercher les juifs, je n'ai rien dit parce que je n'étais pas juif. Lorsqu'ils sont venus chercher les catholiques, je n'ai rien dit parce que je n'étais pas catholique. Lorsqu'ils sont venus me chercher, il ne restait plus personne pour protester.” Il avait raison. Si les gens se taisaient, rien ne changerait.

The actual consumers of knowledge are the children—who can’t pay, can’t vote, can’t sit on the committees. Their parents care for them, but don’t sit in the classes themselves; they can only hold politicians responsible according to surface images of “tough on education.” Politicians are too busy being re-elected to study all the data themselves; they have to rely on surface images of bureaucrats being busy and commissioning studies—it may not work to help any children, but it works to let politicians appear caring. Bureaucrats don’t expect to use textbooks themselves, so they don’t care if the textbooks are hideous to read, so long as the process by which they are purchased looks good on the surface. The textbook publishers have no motive to produce bad textbooks, but they know that the textbook purchasing committee will be comparing textbooks based on how many different subjects they cover, and that the fourth-grade purchasing committee isn’t coordinated with the third-grade purchasing committee, so they cram as many subjects into one textbook as possible. Teachers won’t get through a fourth of the textbook before the end of the year, and then the next year’s teacher will start over. Teachers might complain, but they aren’t the decision-makers, and ultimately, it’s not their future on the line, which puts sharp bounds on how much effort they’ll spend on unpaid altruism . . .

novel The Diamond Age: Or, A Young Lady’s Illustrated Primer, author Neal Stephenson gives readers a glimpse of what AI experts call a “lifelong learning companion”: an agent that tracks learning over the course of one’s lifetime, both insuring a mastery-level education and making exquisitely personalized recommendations about what exactly a student should learn next.

Yet with the rise of AI, robots, and 3-D printers, cheap unskilled labor will become far less important. Instead of manufacturing a shirt in Dhaka and shipping it all the way to the United States, you could buy the shirt’s code online from Amazon and print it in New York. The Zara and Prada stores on Fifth Avenue could be replaced by 3-D printing centers in Brooklyn, and some people might even have a printer at home. Simultaneously, instead of calling customer service in Bangalore to complain about your printer, you could talk with an AI representative in the Google cloud (whose accent and tone of voice would be tailored to your preferences). The newly unemployed workers and call center operators in Dhaka and Bangalore don’t have the education necessary to switch to designing fashionable shirts or writing computer code—so how will they survive?

Intelligent assistance involves leveraging artificial intelligence to enable the government, individual companies, and the nonprofit social sector to develop more sophisticated online and mobile platforms that can empower every worker to engage in lifelong learning on their own time, and to have their learning recognized and rewarded with advancement. Intelligent assistants arise when we use artificial intelligence to improve the interfaces between humans and their tools with software, so humans can not only learn faster but also act faster and act smarter. Lastly, we need to deploy AI to create more intelligent algorithms, or what Reid Hoffman calls “human networks”—so that we can much more efficiently connect people to all the job opportunities that exist, all the skills needed for each job, and all the educational opportunities to acquire those skills cheaply and easily.

Each of the three recognized categories—care, service, and education—would encompass a wide range of activities, with different levels of compensation for full- and part-time participation. Care work could include parenting of young children, attending to an aging parent, assisting a friend or family member dealing with illness, or helping someone with mental or physical disabilities live life to the fullest. This category would create a veritable army of people—loved ones, friends, or even strangers—who could assist those in need, offering them what my entrepreneur friend’s touchscreen device for the elderly never could: human warmth. Service work would be similarly broadly defined, encompassing much of the current work of nonprofit groups as well as the kinds of volunteers I saw in Taiwan. Tasks could include performing environmental remediation, leading afterschool programs, guiding tours at national parks, or collecting oral histories from elders in our communities. Participants in these programs would register with an established group and commit to a certain number of hours of service work to meet the requirements of the stipend. Finally, education could range from professional training for the jobs of the AI age to taking classes that could transform a hobby into a career. Some recipients of the stipend will use that financial freedom to pursue a degree in machine learning and use it to find a high-paying job.

In revamping our education systems, we can learn much from South Korea’s embrace of gifted and talented education. These programs seek to identify and realize the potential of the country’s top technical minds, an approach suited to creating the material prosperity that can then be broadly shared across society. Schools around the globe can also draw lessons from American experiments in social and emotional education, fostering skills that will prove invaluable to the human-centric workforce of the future.

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.

Many debaters argue that reducing income inequality is a good idea not merely in an AI-dominated future, but also today. Although the main argument tends to be a moral one, there’s also evidence that greater equality makes democracy work better: when there’s a large well-educated middle class, the electorate is harder to manipulate, and it’s tougher for small numbers of people or companies to buy undue influence over the government. A better democracy can in turn enable a better-managed economy that’s less corrupt, more efficient and faster growing, ultimately benefiting essentially everyone.

At a 2017 conference on artificial intelligence and global security, former Google CEO Eric Schmidt warned participants against complacency when it came to Chinese AI capabilities. Predicting that China would match American AI capabilities in five years, Schmidt was blunt in his assessment: “Trust me, these Chinese people are good. . . . If you have any kind of prejudice or concern that somehow their system and their educational system is not going to produce the kind of people that I’m talking about, you’re wrong.

Choose to consume technology ,but don’t be consumed by it. Most of us technology have already turned us into robots .We have no signs of being humans. We are heartless, We have no feelings, no shame, no remorse, no beliefs, no respect, no guilty conscious, no life, no sympathy, no care, no time , no morals, no culture, no religion , no faith. We don’t value others people. We cyber bully others and do disguising inhuman things for trends. Pride ourselves in destroying others lives, careers, education, relationship, marriage, future. The things we do for retweets, likes and comments are shocking. Choose to be a better human being than being a Bot.

Dans la même collection en numérique Les Misérables Le messager d’Athènes Candide L’Etranger Rhinocéros Antigone Le père Goriot La Peste Balzac et la petite tailleuse chinoise Le Roi Arthur L’Avare Pierre et Jean L’Homme qui a séduit le soleil Alcools L’Affaire Caïus La gloire de mon père L’Ordinatueur Le médecin malgré lui La rivière à l’envers - Tomek Le Journal d’Anne Frank Le monde perdu Le royaume de Kensuké Un Sac De Billes Baby-sitter blues Le fantôme de maître Guillemin Trois contes Kamo, l’agence Babel Le Garçon en pyjama rayé Les Contemplations Escadrille 80 Inconnu à cette adresse La controverse de Valladolid Les Vilains petits canards Une partie de campagne Cahier d’un retour au pays natal Dora Bruder L’Enfant et la rivière Moderato Cantabile Alice au pays des merveilles Le faucon déniché Une vie Chronique des Indiens Guayaki Je voudrais que quelqu’un m’attende quelque part La nuit de Valognes Œdipe Disparition Programmée Education européenne L’auberge rouge L’Illiade Le voyage de Monsieur Perrichon Lucrèce Borgia Paul et Virginie Ursule Mirouët Discours sur les fondements de l’inégalité L’adversaire La petite Fadette La prochaine fois Le blé en herbe Le Mystère de la Chambre Jaune Les Hauts des Hurlevent Les perses Mondo et autres histoires Vingt mille lieues sous les mers 99 francs Arria Marcella Chante Luna Emile, ou de l’éducation Histoires extraordinaires L’homme invisible La bibliothécaire La cicatrice La croix des pauvres La fille du capitaine Le Crime de l’Orient-Express Le Faucon malté Le hussard sur le toit Le Livre dont vous êtes la victime Les cinq écus de Bretagne No pasarán, le jeu Quand j’avais cinq ans je m’ai tué Si tu veux être mon amie Tristan et Iseult Une bouteille dans la mer de Gaza Cent ans de solitude Contes à l’envers Contes et nouvelles en vers Dalva Jean de Florette L’homme qui voulait être heureux L’île mystérieuse La Dame aux camélias La petite sirène La planète des singes La Religieuse 35 kilos d’espoir

AI And Machine Learning Masters Program Our AI and Machine Learning Masters Program offers high-quality education from industry experts with interactive learning methods. This includes online training videos, live virtual classes, and interactive sessions with AI industry experts. Plus, candidates are provided exclusive access to practice tests, hands-on industry projects, hackathons, and lab projects.

AI And Machine Learning Masters Program Our AI and Machine Learning Masters Program offers high-quality education from industry experts with interactive learning methods. This includes online training videos, live virtual classes, and interactive sessions with AI industry experts. Plus, candidates are provided exclusive access to practice tests, hands-on industry projects, hackathons, and lab projects.

AI is always inclusive along with Biology, physics, SDGs, girls education, All other things subject to change based on situations

AI is always inclusive along with Biology, physics, SDGs, girls education, All other things subject to change based on situations (Except advanced biology where ethics are touched)

What is the sum of not recognizing the tremendous need for self reflection of all entities in our times. History repeats itself, easily predicted by the primitive parts of psychology. There's only one excuse for inaction, fear, or the lack of foresight. Furthermore, if democracy is the way - a thousand astronomers may be more effective in dealing with issues regarding the stars - and so on. Though perhaps there may be universal issues directly related to the human experience. There's also significant cause for concern with regards to larger variations or differences in lifestyle, preferences/ideologies, merits, psychology and various corruptions which may arise. Favouring the political directions who are able to produce, raise or educate the most babies and then gets to decide the fate of all the rest. There is difficulty in adressing issues when there is a great need for balance between short-term and long-term good. Whatever system of governance, with ways of bringing those carrying the merits, discipline and good hearts to surface like buoyancy, necessary to secure a good future for all. The paradox of calling for the good to rise up - is how those truly good may often fail to recognize their part of the intended audience, being too humble in accepting their own worth. And, to recognize those primitive tendencies of an elevated ego. Let's be thankful, for nature inspire many solutions.

What is the sum of not recognizing the tremendous need for self reflection of all entities of our time. History repeats itself, easily predicted by the primitive parts of psychology. There's only one excuse for inaction, fear, or the lack of foresight. Furthermore, if democracy is the way - a thousand astronomers may be more effective in dealing with issues regarding the stars - and so on. Though perhaps there may be universal issues directly related to the human experience. There's also significant cause for concern with regards to larger variations or differences in lifestyle, preferences/ideologies, merits, psychology and various corruptions which may arise. Favouring the political directions who are able to produce, raise or educate the most babies and then gets to decide the fate of all the rest. There is difficulty in adressing issues when there is a great need for balance between short-term and long-term good. Whatever system of governance, with ways of bringing those carrying the merits, discipline and good hearts to surface like buoyancy, necessary to secure a good future for all. The paradox of calling for the good to rise up - is how those truly good may often fail to recognize their part of the intended audience, being too humble in accepting their own worth. Let's be thankful, for nature lead us to solution. In this case, the birds.

Education 4.0, education for innovation is not an alternative to thriving in the digital age, the age of AI, quantum computing, big data platforms, IoT, cloud technology, and other digital technologies. Education 4.0, education for innovation is imperative to thrive in the digital age.

Supposedly, all this bright new technology would provide new opportunities for employment, just like the IT boom at the end of the twentieth century. But the need for professionals could not be met because of a lack of intensive education and, frankly, intelligence. So the AIs took up the slack, leaving millions unemployed and unemployable.

PAISX("PiphiAiSΦRTXor") GPL by: Jonathan Roy Mckinney- 11 >< 1111 >< 1, Itemizer × Abstracter << "Circlet + Diadem × Ring" << PiRandom

AI is set to universalize the access to intellectual tools that otherwise require years of study, training and practice.

ChatGPT Sonnet ChatGPT is not a threat, Any more than drugs are. Ultimately it's just another test, That helps strengthen character. It is a helpful distraction that, Reduces the competition exponentially. As more boneheads use ChatGPT to cheat, Worth of excellence will skyrocket globally. Drugs used in moderation are medicine, Drugs abused stifle health and sanity. Likewise, algorithm used wisely is a boon, Algorithm abused cripples life and society. You can cheat in a few projects and exams using AI. But there is no algorithm to help you cheat in life.

As more boneheads use ChatGPT to cheat, worth of excellence will skyrocket globally.

According to many experts the majority of the people won't be needed anymore for the coming society. Almost everything will be done by artificial intelligence, including self-driving cars and trucks, which already exist anyway. Some even mentioned that AI is making universities obsolete by how fast it can produce information. However, In my view, the AI has limitations that the many can't see, because on a brain to brain comparison, the AI always wins, yet the AI can only compute with programmable data. In other words, the AI can think like a human but can't imagine or create a future. The AI is always codependent on the imagination of its user. So the limitations of the AI are in fact determined by humans. It is not bad that we have AI but that people have no idea of how to use it apart from replacing their mental faculties and being lazy. This is actually why education has always been a scam. The AI will simply remove that from the way. But knowledge will still require analysis and input of information, so the AI doesn't really replace the necessary individuals of the academic world, but merely the many useless ones that keep copying and plagiarizing old ideas to justify and validate a worth they don't truly possess. Being afraid and paranoid about these transitions doesn't make sense because evolution can't be stopped, only delayed. The problem at the moment has more to do with those who want to keep themselves in power by force and profiting from the transitions. The level of consciousness of humanity is too low for what is happening, which is why people are easily deceived. Consequently, there will be more anger, fear, and frustration, because for the mind that is fixed on itself, change is perceived as chaos. The suffering is then caused by emotional attachments, stubbornness and the paranoid fixation on using outdated systems and not knowing how to adapt properly. In essence, AI is a problem for the selfish mind - rooted in cognitive rationalizations -, but an opportunity of great value for the self-reflective mind - capable of a metacognitive analysis. And the reason why nobody seems to understand this is precisely because, until now, everyone separated the mind from the spirit, while not knowing how a spiritual ascension actually goes through the mind. And this realization, obviously, will turn all religions obsolete too. Some have already come to this conclusion, and they are the ones who are ready.

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.

We need an education system that not only imparts knowledge but also inspires a love of learning, encourages creative and critical thinking, fosters resilience and adaptability, and empowers students to address real-world challenges.

The black and brown communities will suffer the consequences of the AI system more than any other community.

The successful adoption of societal systems to the AI revolution and the digital age is crucial for the viability of the systems in the future. The education systems is one such pivotal system that, if well-prepared, will facilitate the successful integration of AI and digital technologies into other societal structures.

The classic components considered in college admissions are grades, standardized tests, extracurriculars, essays, and letters of recommendation. AI will change how most if not all of these factors are valued, developed, and evaluated.

The going rate in Silicon Valley, where I live, is roughly four hundred dollars per hour for the top coaches. This can amount to tens of thousands of dollars to assist one student through a college admissions cycle.

The most successful students will be those who use AI to help make conceptual connections for developing ideas. Students who learn to use AI ethically and productively may learn not only at an exponentially higher rate than others but also in a way that allows them to remain competitive throughout their careers. They will have a deeper understanding of the given subject matter, because they will know how to get their questions answered. Rather than atrophying, their curiosity muscle will be strengthened.

Each study has concluded the same thing: almost all of our jobs will overlap with the capabilities of AI. As I’ve alluded to previously, the shape of this AI revolution in the workplace looks very different from every previous automation revolution, which typically started with the most repetitive and dangerous jobs. Research by economists Ed Felten, Manav Raj, and Rob Seamans concluded that AI overlaps most with the most highly compensated, highly creative, and highly educated work. College professors make up most of the top 20 jobs that overlap with AI (business school professor is number 22 on the list ). But the job with the highest overlap is actually telemarketer. Robocalls are going to be a lot more convincing, and a lot less robotic, soon. Only 36 job categories out of 1,016 had no overlap with AI. Those few jobs included dancers and athletes, as well as pile driver operators, roofers, and motorcycle mechanics (though I spoke to a roofer, and they were planning on using AI to help with marketing and customer service, so maybe 35 jobs). You will notice that these are highly physical jobs, ones in which the ability to move in space is critical. It highlights the fact that AI, for now at least, is disembodied. The boom in artificial intelligence is happening much faster than the evolution of practical robots, but that may change soon. Many researchers are trying to solve long-standing problems in robotics with Large Language Models, and there are some early signs that this might work, as LLMs make it easier to program robots that can really learn from the world around them.

When all is said and done, the essence of patriotism isn’t reciting stirring poems about the beauty of the motherland, and it certainly isn’t making hate-filled speeches against foreigners and minorities. Rather, patriotism means paying your taxes so that people on the other side of the country also enjoy the benefit of a sewage system, as well as security, education, and health care.

In quell'epoca, vedevo la buona società come una gran massa di gente vestita in abiti eleganti, con bei cappelli, che abitavanno in grandi case, con i cavalli e le carrozze più belle; che facevano discorsi elevati, goveravano il paese, e riempivano le chiese. Mi sembrava che questa società facesse un mondo più bello e più pulito di tutti gli altri. A Natale, li vedevo portare cesti con tacchini e altre cose ai poveri, e con le loro maniere educate far sì che anche gli altri fossero più educati. Sapevano le risposte di tutte le domande, e il modo appropriato di dire e di fare ogni cosa. In seguito aprii gli occhi, ma a quell'epoca li chiamavo la gente di qualità, l'aristocrazia. Non erano altro che un mucchio di stronzi.

If you need a concept explained or defined, an AI assistant can provide that explanation—and do it in as detailed or simple a manner as you’d like. On episode 99 of the Partial Credit Podcast, Jesse Lubinsky shared that he asked for a definition of “faith” in terms a child would understand. That helped me realize that it can give definitions, descriptions, and explanations (which we expected) and level them up or down in complexity.

Every system is perfectly designed to get the results it gets,

By 1900, though, still fewer than one in four people could read.[49] During the twentieth century, public education expanded globally, and worldwide literacy exceeded one in four by 1910.

Ideas are nothing without vision and execution.

What does it mean to be a person? What makes us special as human beings? What can we do that artificial intelligence can’t—or what are we better at? These are crucial questions that students will have to reckon with immediately and in the future. Even if we don’t have answers to those questions, we can participate in conversations about them.

In the end, if using AI tools cuts your planning time from 30 minutes to 18 minutes—or your grading time from 40 minutes to 22—that extra time it creates is yours. Use it however you wish. Plan out that cool lesson you’ve always wanted to do. Or go home early. The choice is yours. I know this type of decision feels pretty foreign to us—deciding what to do with extra time. Whether we use it to do something amazing for our students or preserve our mental health, everyone wins.

By 2021 India averaged 6.7 years of education and China 7.6 years.

Yet another pondered: If a teacher generates lesson plans with an AI, who gets the credit? (I wondered what the importance of credit in lesson planning is in the first place, and if creators on Teachers Pay Teachers get credit if a teacher buys lesson plans there.)

In 1870 the population of the United States had on average around four years of formal education—while those of the United Kingdom, Japan, France, India, and China were all below one year.

Isaac Asimov’s short story “The Fun They Had” describes a school of the future that uses advanced technology to revolutionize the educational experience, enhancing individualized learning and providing students with personalized instruction and robot teachers. Such science fiction has gone on to inspire very real innovation. In a 1984 Newsweek interview, Apple’s co-founder Steve Jobs predicted computers were going to be a bicycle for our minds, extending our capabilities, knowledge, and creativity, much the way a ten-speed amplifies our physical abilities. For decades, we have been fascinated by the idea that we can use computers to help educate people. What connects these science fiction narratives is that they all imagined computers might eventually emulate what we view as intelligence. Real-life researchers have been working for more than sixty years to make this AI vision a reality. In 1962, the checkers master Robert Nealey played the game against an IBM 7094 computer, and the computer beat him. A few years prior, in 1957, the psychologist Frank Rosenblatt created Perceptron, the first artificial neural network, a computer simulation of a collection of neurons and synapses trained to perform certain tasks. In the decades following such innovations in early AI, we had the computation power to tackle systems only as complex as the brain of an earthworm or insect. We also had limited techniques and data to train these networks. The technology has come a long way in the ensuing decades, driving some of the most common products and apps today, from the recommendation engines on movie streaming services to voice-controlled personal assistants such as Siri and Alexa. AI has gotten so good at mimicking human behavior that oftentimes we cannot distinguish between human and machine responses. Meanwhile, not only has the computation power developed enough to tackle systems approaching the complexity of the human brain, but there have been significant breakthroughs in structuring and training these neural networks.

Now imagine if an AI tutor could “sit” next to students as they navigate the internet in general. Imagine if it were a browser plug-in. The same way that AI might help students better engage with online exercises or videos, it might also help them when they are browsing Wikipedia, YouTube, or the New York Times website. It might reformulate the news article they are reading closer to their grade level, potentially leaving out age-inappropriate details. While students are researching a paper, it might help zero in on material that actually addresses the issue they are investigating. It might also Socratically help a student engage with what they are reading or even provide context that the student needs to better understand the content.

Art is a collaboration between God and the artist, and the less the artist does the better. —ANDRÉ GIDE

Because AIs aren’t sentient, they can’t be truly empathetic. Empathy involves sensing and modeling other’s emotions and contexts in your own mind. They can, however, simulate empathy quite well. Even with just a chat interface, large language models can interact in ways that are hard to discern from a well-trained, caring therapist. Engineers are augmenting these models with listening, speech, and vision capabilities that can add to the AI’s “understanding” of where the user is emotionally. Perhaps we should introduce a new term, artificial empath, or AE, as a great tool in the fight against loneliness, depression, and anxiety.

This is why I started Khan Academy. The internet afforded us the ability to go directly to every classroom, every student, and every family in the world without having to necessarily navigate the same policy machinations faced by traditional reform efforts. The social return on investment is orders of magnitude more impactful. For example, our team operates on a budget equivalent to some high schools in the United States but reaches more than a hundred million learners a year around the world—and it has the potential to serve billions.

By 2025 December AI will have taken over 45% of our resources and the people will have to rely on its tools.

Through the years, many people have asked me why I set up Khan Academy as a nonprofit. After all, my previous career was very for-profit, and I live in the middle of Silicon Valley, where scalable tech-enabled solutions can be worth a lot of money. Many have been skeptical whether a nonprofit could even compete with for-profit companies. There were two notions I couldn’t get out of my head, however. First, I tend to believe in market forces, but there are a few sectors—namely, education and health care—where the outcomes of market forces don’t always align with our values. Education and health care are two areas where our shared values tell us that, ideally, family resources shouldn’t be a limiting factor in accessing the best possible opportunities. Most of us believe that every mind and life deserves to reach its full potential.

During the 2020 school shutdowns, Black and Hispanic households with school-age children were 1.4 times as likely as white households to face limited access to computers and the internet, and more than two in five low-income households had only limited access. A bad prepandemic situation became downright dire. Consider that before 2020, 6 percent of Detroit eighth graders were performing at grade level; afterward, it dropped to 3 percent. The average American classroom in 2019 contained a spread of three grade levels of ability. After the pandemic, this spread expanded to six grade levels of ability.

In a world ruled by algorithms, the best investment we can make is in educating people about AI.

I realized that as thrilling as it would be to be an AI researcher now, it was even more exciting to think about how the technology could be applied to help human potential.

You can’t cross the sea merely by standing and staring at the water. —Rabindranath Tagore

Despite being a nonprofit, we have been able to build a team that rivals those of the most resource-rich tech companies. Hundreds of incredibly talented people have committed a major part of their careers to be part of the Khan Academy team, often taking considerable pay cuts to do so. Thousands of volunteers all over the world have now translated Khan Academy into over fifty languages. Inspirational leaders like Bill Gates, Reed Hastings, and Elon Musk have become some of our biggest supporters and advocates. This journey seems so serendipitous that it has become something of an inside joke among the Khan Academy team that perhaps benevolent aliens are helping us so that, through education, we can prepare humanity for first contact.

We are entering a world where we are going back to a pre–Industrial Revolution, craftsmanlike experience. A small group of people who understand engineering, sales, marketing, finance, and design are going to be able to manage armies of generative AI and put all of these pieces together.

Learn the rules like a pro, so you can break them like an artist.—Pablo Picasso

Leni is a real estate artificial intelligence that uses cutting-edge technology to improve the sector. Leni delivers comprehensive solutions for property management, market analysis, and investment strategies through the integration of intelligent algorithms and data analytics. This sophisticated AI helps real estate professionals make more educated decisions, optimize operations, and identify new opportunities, ultimately changing the way they approach and succeed in the real estate industry.

The world has enough for everyone’s need but not enough for everyone’s greed. —Mahatma Gandhi

DOÏNA POUR LA POÉSIE La poésie est fraîche Comme nourrisson en crèche Comme la sage-femme Qui a perdu son âme. Poésie bébé À peine est-elle née Qu'elle a commencé Soit à pleurnicher Soit à tituber Puis elle est tombée Dans ta petite école Dans d'autres encore Teacher nous l'a donnée Tellement digérée La poésie mouche Mâchée dans sa bouche Nos cerveaux hurlaient Des oiseaux passaient The Wall grandissait Pink Floyd s'entendait (We don't need no EDUCATION) et inside chantaient les chœurs d'enfants on n'a plus envie de la poésie on n'a plus envie de la poésie chandelles incertaines étudiants par centaines élèves redoublants d'autres ... éminents un grand NON disaient dès qu'ils entendaient de la poésie poésie pourrie et autres lubies des dizaines - pourries des pleurnicheries lugubres envies ... et ils s’écœuraient et ils essayaient de se libérer de cette poésie tellement pourrie dont les profs voulaient toujours les gaver Têtes penchées pauvre mémoire mémoire-Tiroir ... Comme elle souffrait Comme elle tremblait Sanguinolait ... Et avalait Encore un poème Encore et encore La poésie-Chlore Poèmes, poésie Tellement out of vie Éloge de la patrie De n'importe quoi De n'importe qui Pour une fête scolaire Pour une thèse misère ... Oh, pauvre mémoire Qui s'évanouissait Imbécillisée ... Stupidifiée ... Pauvre petite cervelle Comme cigale frêle Quand vient le gel ! D'un coup comme un signe Le VENT dans la vigne Joli mois de mai Le vent PARACLET. J'ai vu s'avancer Les Muses d'antan Elles se mêlaient toujours À des Muses plus cool Pour l'artiste saoul La cervelle-moule ... Elles se méli-mêlaient Pour encore changer L''ère glaciaire Des cervelles amères L'ère glaciaire Des cervelles amères …

Denial is the most predictable human response. Many people today are in denial of the radical change to the way humans live and do business, including the way we learn [education] courtesy of automation and cutting edge technology such as Artificial Intelligence [AI].

Are you interested in using AI trading as a part of your financial arsenal but you're not sure how to get started? Here at Australian Investment Education we are looking at rolling out a few different options to help you get started with that. Tune in to this week's MONEY AND INVESTING show to learn more.

Begin rant: I think the internet, social media, smartphones, a progressive education system that teaches socialist values and the false theory of evolution based on an atheistic worldview, moral relativism and post-modern thought mixed with a rejection of biblical truth, social justice over true justice, the teaching that everyone gets a trophy, and that everyone is uniquely special and should desire fame, add to that helicopter parents, absentee parents, confusing parental messages, confusing family structures, gender identity politics, and the idea that this generation is somehow the most brilliant generation ever because they can google every answer or ask some AI-based computer speaker box, mixed with all the confusing heretical, blasphemous, and unbiblical models of the Church, and it’s no wonder these young people are so bent on doing their own thing and not listening to what seems to be hypocritical,

Collaborative work is the future of career readiness.

Let’s provide creative, authentic ways for students to show what they know. Creativity in learning can help students with motivation. It can help them make use of their own unique talents and skills. It can help them feel seen and heard and noticed.

On the positive side, perhaps the best example of a creative and (potentially) helpful use of AI is Chat2024, an AI-powered chatbot that serves as a stand-in for each candidate. This gives any visitor to Chat2024.com the ability to ask any candidate any question you want. Through the site, you can carry on a conversation with each candidate just as you’d engage a friend over any other messaging app. The AI has been programmed with everything it needs to field any question, even answering in the voice, tone, and attitude of each candidate (mostly). The company behind Chat2024 is also developing a voice feature that will allow people to engage in a voice conversation with each candidate’s AI avatar, which will have a voice eerily close to the real thing. I tried Chat2024 soon after it launched, and the results were interesting, to say the least. I can see some real value here for voter education … but I can also see how tools like this could go horribly wrong. We’ve opened a Pandora’s Box, and there’s no going back. Obviously, the big potential danger with a tool like Chat2024 is that these answers are not actually coming from a candidate. The AI is using all the information at its disposal to approximate what it thinks the candidate would say in response to each question. But, as anyone who’s played around with ChatGPT and other AI-powered search engines knows, sometimes the AI is just … wrong. Sometimes, woefully so.

Alice thinks of the stuttering history of AI, the intoxication of the early days when a few leaps in progress made people believe this was the beginning of an exponential acceleration. In fact, the sum of what those leaps achieved was merely to educate scientists as to the true complexity of what they were trying to comprehend.

The sixth wave will no doubt affect many industries, processes, and occupations, but many will remain largely untouched, at least in terms of automation: education, healthcare, sports and law-making for example. Artificial intelligence won’t replace doctors in the near future, but it will help them make better diagnoses and treatment decisions.

Every child has the potential to become an innovator, a creator, and a leader. This book hopes to inspire and educate young minds to explore the possibilities of AI and to discover their own paths in the world of technology.

Similarly, one of the most popular HR tools at GE Digital—an early adopter of AI for manufacturing applications—shows workers which jobs in the company are natural next steps from the ones they have now.12 Employees can look privately at the tool to see possible paths they can follow, skills they may need to acquire, or even positions that are open. This helps employees feel that they have more opportunities and that they have more control over their positions in the company. Education

Silicon Valley’s and China’s internet ecosystems grew out of very different cultural soil. Entrepreneurs in the valley are often the children of successful professionals, such as computer scientists, dentists, engineers, and academics. Growing up they were constantly told that they—yes, they in particular—could change the world. Their undergraduate years were spent learning the art of coding from the world’s leading researchers but also basking in the philosophical debates of a liberal arts education. When they arrived in Silicon Valley, their commutes to and from work took them through the gently curving, tree-lined streets of suburban California. It’s an environment of abundance that lends itself to lofty thinking, to envisioning elegant technical solutions to abstract problems. 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. In stark contrast, China’s startup culture is the yin to Silicon Valley’s yang: instead of being mission-driven, Chinese companies are first and foremost market-driven. Their ultimate goal is to make money, and they’re willing to create any product, adopt any model, or go into any business that will accomplish that objective. That mentality leads to incredible flexibility in business models and execution, a perfect distillation of the “lean startup” model often praised in Silicon Valley. It doesn’t matter where an idea came from or who came up with it. All that matters is whether you can execute it to make a financial profit. The core motivation for China’s market-driven entrepreneurs is not fame, glory, or changing the world. Those things are all nice side benefits, but the grand prize is getting rich, and it doesn’t matter how you get there.

You can use Artificial Intelligent where you can, but never be dependent on it that if it taken away. You won't be able to do anything yourself. You won't be able to think. You won't be useful, resourceful or skillful.

Đây không phải là một quote mà là những gì mình chợt nghĩ ra khi đọc hồi kí của Malalai. Bỏ qua vấn đề nổi cộm nhất, là nỗi đau cũng là động lực cho Malalai trong suốt hành trình còn lại, thứ làm mình suy nghĩ nhiều hơn là vấn đề về giáo dục và đặc biệt là giáo dục đại học ở Việt Nam. Mình từng nghĩ ngợi rất nhiều về ý nghĩa của việc học đại học, thậm chí còn từng xem nhẹ việc học đại học như tâm lý của bao người nhưng rồi mình chơt nhìn lại khi hàng nghìn người nỗ lực để được bước chân đến trường và cái giá cho một tấm bằng đại học. Có thể bằng đại học không đáng giá như thế nhưng mình tin những gì học được từ đại học không phải là vô nghĩa. Giống như việc người ta vẫn luôn cho rằng triết học là một môn xa rời thực tế,... nhưng họ chắc chắn là những người chưa học hoặc học mà không hiểu triết học. Nó gần gũi hơn bất cứ thứ gì trên đời. Học tập, chính là học trên nền tảng để nghiên cứu, mà nghiên cứu để tránh những rủi ro vô nghĩa cho những việc làm sau này. Mình ấn tượng với câu nói của một thầy:" Tao tin, chẳng cái gì người ta không học được trừ cái thứ quá xa vời như hàng không vũ trụ thôi. Còn cái gì cũng học được, quan trọng là thời gian, học hết bao lâu" Đúng, bạn có thể ra làm rồi để nó va vập, bầm dập không ít lần hoặc học để ứng dụng mà ít bị ngã hơn. Trường mình tiên phong trong vấn đề để cho sinh viên tự học tập, nghiên cứu và trải nghiệm. Kiến thức ngày càng được rút gọn, các môn hàn lâm năm nay cũng bị thay thế dần bởi các môn học ứng dụng. Tuy nhiên, sự thay đổi môi trường học làm nhiều bạn sinh viên bỡ ngỡ, hiểu học theo một cách khác để rồi kiến thức chuyên môn thì yếu mà kiến thức thực tế thì không, những khóa sinh viên gần đây "chất" đã không còn được như những khóa trước đó, học tập không tới mà trải nghiệm nửa vời. Có thể, thực tế công việc có xa lý thuyết nhưng không thực tế nào mà lại thiếu nền tảng lý thuyết cơ bản. Như câu nói ở trên, ai cũng học được, làm được như một cái máy nhưng để hiểu vì sao nó lại thế thì không phải ai cũng làm được. Đó chính là lý do, đưa ra một mệnh đề thì dễ nhưng chứng minh nó thì không còn dễ dàng như thế nữa. Còn nhớ kì cuối cùng trước khi mình bỏ trường để đi lang thang một năm, mình chọn môn của cô "sát thủ" khoa tài chính, cô là phó giáo sư tiến sĩ - cô cũng là người đầu tiên ở trường đại học đánh thức mình về việc học tập ở đại học, cô xem trọng việc học hơn bất kì thứ gì! Và những kiến thức cô dạy ở bộ môn đó đã theo mình từ đó, gợi cảm hứng cho mình thêm rất nhiều môn học khác. Mỗi lần nghe một bản tin tài chính hay nghe một chính sách mới về kinh tế mình lại nghĩ đến cô. Mình băn khoăn không biết điều gì khiến người ta quá quan trọng vấn đề thực tiễn và xem nhẹ vấn đề lý thuyết, y như cách chuyển đề toán sang kiểu mì ăn liền :') Những kiến thức phổ thông dừng lại ở vấn đề căn bản của mỗi con người thì mình tin, kiến thức đại học mang người ta đi xa hơn. Nếu người ta để ý hơn, thì cũng sẽ giải thích được nhiều điều nhưng chắc chắn không phải là tất cả. Đại học cũng như bậc học khác, đưa người ta một thứ cao cấp hơn của một thứ căn bản chỉ dừng ở việc "đủ sống", nó mang người ta đến việc "hiểu sống". Mình tin sức mạnh của tri thức, y như cách cô giáo tài chính của mình tin và tri thức có thể được tích lũy ở bất cứ đâu, trong đó có đại học.

I had used my fame in China to educate and inspire young people. I had done nothing to deserve dying at the age of fifty-three. Every one of those thoughts began with “I” and centered on self-righteous assertions of my own “objective” value. It wasn’t until I wrote down the names of my wife and daughters, character by character in black ink, that I snapped out of this egocentric wallowing and self-pity. The real tragedy wasn’t that I might not live much longer. It was that I had lived so long without generously sharing love with those so close to me.

Just as those volunteers devoted their time and energy toward making their communities a little bit more loving, I believe it is incumbent on us to use the economic abundance of the AI age to foster these same values and encourage this same kind of activity. To do this, I propose we explore the creation not of a UBI but of what I call a social investment stipend. The stipend would be a decent government salary given to those who invest their time and energy in those activities that promote a kind, compassionate, and creative society. These would include three broad categories: care work, community service, and education.

Qualsiasi esperienza non affiancata da strumenti critici, finisce per essere considerata naturale, con la conseguenza che non la scegliamo davvero, ma la subiamo.

Pick just one trend that you consider unstoppable—5G, sensor technology, big data, AI, blockchain, quantum computing, nanotechnology, robotics, 3D printing, biotechnology, synthetic biology, renewable energy, augmented reality, virtual reality, satellite technology, genomics, gene editing, online education, etc.—and research how it is already impacting your industry.

but it’s mostly maths skills from primary school—not beyond—that actually get used in adulthood,

According to the U.S. Department of Education, there will be a 14 percentage-point increase in STEM jobs between 2010 and 2020.

Teachers can also use AI to generate simulations to use in their classrooms.

AI can act as a catalyst for active learning, scaffolding students, personalizing learning trajectories, and fostering a deeper understanding.

The section on Bloom's Taxonomy considers how critical thinking skills can be developed in an AI‐enhanced classroom, while the part on differentiated instruction demonstrates how AI can generate customized activities to cater to the diverse learning needs of students.

Create learning pathways: AI‐driven platforms can create personalized learning pathways that guide students through progressively more complex cognitive tasks aligned with Bloom's Taxonomy.

Inquiry‐based learning: AI can support inquiry‐based learning experiences by encouraging students to engage in higher‐order thinking skills such as analysis, evaluation, and synthesis.

Adapt content: AI tools can adjust the complexity and cognitive demands of learning materials in alignment with specific levels of Bloom's Taxonomy.

For example, an AI‐powered quiz platform could highlight a student's recurring mistake in solving a specific type of math problem. This immediate feedback enables students to learn from errors and promptly modify their strategies. AI can also support autonomy and decision‐making by offering personalized recommendations based on a student's learning profile and progress. For example, imagine an AI system suggesting that a student who is a visual learner use a specific graphic‐based resource to prepare for an upcoming biology test. AI can guide students in making more informed decisions by providing these personalized suggestions. AI can also help foster metacognitive skills so that students are better equipped to make decisions about their own learning journeys. For example, AI can facilitate reflective activities, such as self‐assessment quizzes or reflective journal prompts. An example might be an AI‐driven journaling app that offers immediate, personalized feedback based on students' reflections, prompting them with further thoughtful questions based on their entries.