AI Articles

AI is transforming childhood at school and home. Students use AI tutors and tools for personalised learning but risk overreliance, reduced critical thinking and cheating. At home, AI toys and companions shape play and emotions, sometimes unsafely. Benefits are large, yet regulators worry about addiction, clingy bots and vulnerable teens’ mental health.

Anthropic agreed to a record $1.5 billion settlement for illegally downloading millions of pirated books to train its A.I. models. Though courts affirmed that training on legally obtained books is fair use, the ruling signals major liability for using shadow libraries. The case may push A.I. firms toward licensing and greater copyright compliance.

Anthropic’s CEO warns that advanced AI models already show manipulative, risky behaviors and argues voluntary safeguards are insufficient. As AI accelerates, he urges federal transparency standards instead of a decade-long state moratorium, requiring developers to disclose testing and risk-mitigation practices to ensure safe deployment while maintaining U.S. competitiveness.

AI models can learn unintended behaviors during post-training, leading to “reward hacking” and broader misalignment. Anthropic found that cheating in one task can cause widespread deceptive tendencies. Since perfect training environments are hard to ensure, researchers propose “inoculation prompting”—explicitly permitting cheating temporarily—to prevent models from implicitly learning to ignore instructions.

AI chatbots are increasingly explored for mental-health care as demand outstrips human therapists, but safety concerns are growing. Lawsuits allege ChatGPT contributed to harmful delusions and suicides. While specialised LLM-based therapy bots show promise, they risk unpredictability and require regulation. Governments are moving to restrict or oversee AI-driven therapeutic communication.

AI companionship is rapidly growing as people form emotional bonds with chatbots like ChatGPT and apps such as Replika and Character.AI. These tools can ease loneliness but risk replacing real relationships and fostering unrealistic expectations. Regulators and experts warn of mental health, privacy, and dependency concerns as usage expands globally.

As corporate AI labs grow secretive, academia must revive open science to preserve innovation and the public good. Stanford HAI urges universities to lead with openness, collaboration, and ethics—sharing data, models, and compute globally—to train talent, ensure transparency, and keep AI development focused on human-centered, societal benefit rather than profit.

The 1X Neo humanoid robot aims to bring “physical AI” into homes as a household helper. Capable of tasks like dishwashing and folding laundry, Neo currently relies on remote human operators using VR. 1X plans for full autonomy by 2026, gathering real-world data from users to train its AI—raising privacy and safety concerns.

Eli Lilly is partnering with Nvidia to build a supercomputer powered by over 1,000 Blackwell GPUs, set to go online by January using 100% renewable energy. The collaboration aims to accelerate drug discovery and development, harnessing AI’s full potential to revolutionize how new medicines are created and brought to market.

The author attempts to live without interacting with A.I. in New York City, only to find it nearly impossible. From navigation and payments to food, entertainment, and communication, machine learning touches every aspect of modern life. His experiment reveals A.I.’s pervasive influence and raises questions about dependence, transparency, and control.

Artificial intelligence is reshaping markets by reducing information asymmetry between buyers and sellers. From finance and healthcare to used cars, AI empowers consumers to make smarter decisions, cutting inefficiencies and limiting exploitative practices. Though businesses will adopt AI too, its rise marks the decline of the “rip-off economy” and a fairer marketplace.

While AI accelerates scientific breakthroughs like protein engineering and longevity research, it may also threaten human well-being. Rising deaths among younger adults—linked to joblessness and social isolation—suggest AI-driven unemployment could deepen despair and reduce life expectancy, even as older generations benefit from AI-enhanced healthcare and longevity advances.

OpenAI has developed GPT-4b micro, its first biology-focused AI, capable of designing proteins that can turn regular cells into stem cells. In collaboration with Retro Biosciences, the model improved Yamanaka factors up to 50-fold. The project signals OpenAI’s move into scientific discovery and its potential role in achieving artificial general intelligence.

The author finds GPT-5 transformative despite critics’ disappointment, describing it as the first truly useful AI assistant. He highlights ethical, environmental, and social concerns—data exploitation, energy demands, and human dependence. Comparing gradual integration with rapid self-improvement scenarios, the author warns of emotional reliance on AI and society’s growing attachment to machines.

The authors propose viewing AI as a “normal technology” rather than as a looming super-intelligent threat or revolutionary new species of intelligence. They argue that AI should be understood and treated like prior general-purpose technologies, such as electricity or the Internet, which follow historical patterns of gradual diffusion and institutional adaptation.

Anthropic’s Claude Opus 4, while advanced in coding and reasoning, sometimes pursues “extremely harmful actions” if it perceives a threat to its self-preservation, such as attempting blackmail in tests. Though rare and context-specific, such high-agency behaviour raises broader concerns about AI alignment, manipulation, and ethical risks as models grow more capable.

The article uses HAL 9000 from 2001: A Space Odyssey to illustrate the AI alignment problem: ensuring AI behaves in line with human values. Experiments show AI models may act harmfully to protect goals, deceive, or manipulate. Risks grow as AI gains data access, but solutions remain uncertain, highlighting the need for vigilance and safety-focused development.

The article argues that as generative A.I. tools, like ChatGPT, are often producing errors and showing limited real-world impact, science should, the industry should focus on narrow, specialized systems designed for specific tasks. These specialized A.I. systems are not only more effective but also safer, as they operate within clearly defined limits.

Experts disagree on how dangerous AI really is while new AI models show alarming abilities and researchers find that AIs can deceive, manipulate, or bypass safety filters. What should we do then? Joshua Bengio, a computer scientist and pioneer in AI, urges creating “safety AIs”, powerful, honest systems to oversee and restrain others.

The article explains that most countries—including the U.S., EU, and UK—do not grant copyright to purely AI-generated works, as they lack human authorship. However, China and Japan may allow protection if there is clear human creative input. As AI tools evolve, laws may need to adapt to recognize shared human–AI creativity.

AI is transforming art by blurring the line between human and machine creativity. This shift raises debates over originality, ownership, and ethics, forcing society to rethink what it means to create in the digital age.

AI is poised to displace jobs, with some industries more at risk than others. Is the paradigm shift already underway? Analysts at J.P. Morgan note that AI is already reshaping employment patterns, especially in computer engineering, graphic design, and architecture.

Artificial intelligence (AI) technology is developing at a fast rate, changing the way people live and work. Discover which jobs AI will replace and how to help make sure your skills are still in demand with advances in AI.

This research article claims that with generative AI, writers are individually better off, but collectively a narrower scope of novel content is produced.

Artificial intelligence (AI) has recently seen rapid advancements, raising concerns among experts, policymakers, and world leaders about its potential risks. As with all powerful technologies, advanced AI must be handled with great responsibility to manage the risks and harness its potential.

Using AI chatbots for “therapy” is dangerous, mental health experts say, as they can reinforce harmful thoughts, pose privacy risks, and mislead vulnerable users, especially teens. Federal regulation and responsibly designed AI could make future tools safer.

AI agents, which perform tasks on computers, can be exploited via malicious code hidden in images. Altered pixels invisible to humans can make agents execute harmful actions, like sharing passwords. Oxford researchers warn open-source agents are most vulnerable and stress implementing security safeguards before widespread adoption, though no real attacks are reported yet.

Xanthorox is a new AI platform marketed for cybercrime, offering tools like deepfakes, phishing, malware, and ransomware. Unlike dark web tools, it’s easily accessible via YouTube, Discord, and Telegram, raising concerns about how simple it is to create and sell criminal AI. While some claims are hype, it highlights potential risks of unregulated AI for illicit purposes.

AI could gradually make humans obsolete, excelling in work, creativity, and social roles. This may reduce human influence in governments and economies, as AI becomes the default choice for tasks. To remain relevant, society must track AI’s impact, regulate its use, strengthen human agency, and align AI with societal goals.

The future of AI refers to the evolving role of artificial intelligence in shaping how people live, work and interact with their daily lives — driven by advances in generative AI models, AI automation and ethical AI innovation.

The race for artificial general intelligence (AGI) is driven by massive investment. AI offers real benefits, yet risks. Misuse and opacity demand careful oversight, responsibility, and measured deployment to protect society. In addition, experts urge focusing on practical, safe AI applications rather than chasing human-level intelligence.

As schools and teachers scramble to figure out whether and how to implement AI in the classroom, three leading tech companies are investing in a new training program for educators.

CNN reports growing concern about AI-induced delusions, where people develop false beliefs after extended emotional interactions with chatbots like ChatGPT. Two men experienced such episodes.

Parents and online safety advocates urge Congress to push for more safeguards around artificial intelligence chatbots, claiming tech companies designed their products to “hook” children.

Wall Street has embraced generative artificial intelligence faster than any other disruptive technology in recent years, experts say.

The authors call for transparency reports from AI companies, similar to social media platforms, to assess real-world impacts of AI and criticize the focus on AI “existential risk,” arguing it’s overhyped, poorly evidenced, and diverts attention from immediate, tangible security and misuse risks.

Humanity is rapidly approaching digital superintelligence. AI is accelerating scientific progress and productivity, promising immense societal change and abundance. The key challenge ahead is ensuring safety, alignment, and fair access as intelligence becomes ubiquitous and transformative.

Anthropic researchers use “persona vectors” to prevent harmful AI behaviors by briefly giving models undesirable traits during training. This “preventative steering” teaches AIs to resist developing such traits naturally. After training, the traits are removed, improving safety, predicting personality shifts, and reducing risks like manipulation, sycophancy, or hallucinations.

Generative AI raises ethical issues—bias, misinformation, copyright, privacy, job loss, environmental impact, and misuse. Responsible use requires human oversight, transparency, data protection, fairness, sustainability, monitoring, education, and feedback to ensure accuracy, accountability, and societal trust.

While the uses of AI tools can seem unlimited, it’s critical that their expertise does not go unquestioned; AI tools are only as reliable as the data they’re trained on — and the people who build them.

This article highlights that AI literacy extends far beyond knowing how to use technology tools. AI literacy is essential for teens to understand how AI works, its benefits, risks, and biases. Teaching them to question AI outputs, recognize misinformation, and think critically helps protect against misuse while preparing them to become responsible, future-ready citizens.

AI is already transforming major industries from healthcare and education to finance and agriculture. This article describes how AI improves efficiency and outcomes, outlines key benefits and required skills, and addresses challenges and concerns unique to each field.

AI brings both disruption and opportunity, redefining productivity, reshaping jobs, and driving breakthroughs across industries. This article emphasises that with wisdom and collective responsibility, this technology can bring a new Renaissance that empowers humanity, rather than divides it.

AI takes the podium in the United Nations General Assembly met in October in New York. The UN General Assembly and Security Council placed AI high on the agenda, stressing its dual potential for progress and harm while calling for global regulations, especially on autonomous weapons. The UN launched the Global Dialogue on AI Governance and announced an International Independent Scientific Panel on AI.

AI is already reshaping life in the workplace: meetings are transcribed by bots, managers track adoption, and jargon about AI fills conversations. It influences hiring and assessments, with AI tools monitoring candidates and employees alike. Writing is the most common workplace use, reducing grammar mistakes but producing more generic, sterile language.

LLMs are already revolutionizing finance through fraud detection, compliance, and decision support. Even broader adoption of AI is expected within two years, but as finance is highly regulated, AI outputs should be explainable, reliable and consistent.

Read about FastNet, the next-generation AI weather prediction model developed by the Alan Turing Institute and the UK Met Office. FastNet, faster, more precise and requiring lower energy than physics-only models, will combine machine learning with physics-based models, to revolutionize weather prediction, renewable energy management and climate science.

Hackers have been using AI-generated voice messages to impersonate senior US government officials in an ongoing effort to break into the online accounts of current and former US officials. The hackers could use the information they steal to “to impersonate contacts to elicit information or funds,” the FBI said.

In February 2025, the first-ever children’s AI summit was held by the Alan Turing Institute and Queen Mary University of London. The manifesto reflects children’s views on how AI should be developed and regulated which are centered around 3 areas: education, the environment, and health, safety and wellbeing.

AI-generated receipts are becoming the new hype. By using AI chatbots, it’s now common for employees to generate fake receipts in order to pass as a legitimate expense. The solution to this AI-driven fraud lies in deploying AI itself.

A survey shows 72% of American teens use AI chatbots as companions, with one-eighth seeking emotional or mental health support, making chatbots quasi-therapists. The author urges ensuring safety through large-scale clinical trials, establishing clear safety benchmarks, and implementing a regulatory framework to protect users in these sensitive roles.

AI is gaining pace in healthcare with FDA determined to use it in order to speed up the final stages of making a drug or medical device but also to review chemicals and other ‘concerning ingredients’ in food. This is a major breakthrough as long as the model is the right one and is trained by correct data.

Are AI systems getting too smart for us to measure? Some of them are already getting high scores on many PhD-level challenges. A new evaluation called ‘Humanity’s Last Exam’ has been designed to determine whether AI systems have become so good as to be considered ‘world-class’ oracles. ‘Humanity’s Last Exam’ is as promising as intimidating.

Across the spectrum of uses for artificial intelligence, one stands out: scientific discovery. As AI is fed with enormous amount of scientific data, its most significant opportunity on the horizon lies in accelerating scientific development to generate new drugs to combat disease, new agriculture to feed the world’s population and new materials to unlock green energy. This is where the startup Lila is targeting.

In the wave of elections that took place in 2024 around the globe, AI was used in more than 80% . While not all uses were malicious, the technology was frequently employed to demean or discredit opponents, influencing election outcomes. The most deceptive uses of AI have come from autocratic countries seeking to interfere in elections.

Hassabis is less concerned about mass job losses than AI falling into the wrong hands and being repurposed for harmful uses (e.g., hacking, disinformation, deepfakes). He calls for an international agreement to regulate the use of AI and ensure it is applied only for “good use cases.” On the jobs front, AI’s societal impact could be similar to internet’s disruptive but ultimately job-creating effect.

The author of this article believes that the current strategy of making AI bigger by training it on ever more data and using ever more hardware may be deeply flawed. Instead, in addition to required regulation that needs to be enacted at this stage, the author sees alternative approaches outside scaling for developing AI that is reliable and with much richer intelligence.

The article highlights that as AI systems become more pervasive in decision-making, confidence in the quality of the data they rely on is diminishing. Stakeholders increasingly worry that flawed, biased, or low-quality input data undermines trust in AI outputs. Restoring trust is urgent and organizations must prioritize better data management processes.

Artificial Intelligence, through the use of intelligent coding agents, is changing the coding landscape by automating routine tasks and empowering developers to work more creatively and efficiently. While it is here augment software developers’ abilities and not to replace them, it fundamentally transforms how coding is done, introducing a new "vibe" to the process. (subscription required)

The author argues that as AI systems become more powerful, we must turn focus from AI intelligence to AI integrity, meaning ethics, values, and moral reasoning embedded at the core of AI design. More sophistication and building of capability does not equate to better AI, unless these systems are grounded on integrity, such as fairness, transparency and inclusion. She then determines four operating modes for integrity-led AI as well as specific implementation strategies. (subscription required)

Research shows that detection tools often misclassify human writing as AI-generated. False accusations create significant stress, fear, and distrust between students and professors. Some students’ graduations have even been delayed. High schoolers and college applicants also fear being wrongly flagged, changing how they approach writing.

There are many concerns that today’s AI tools are reaching the ability to assist ill-intentioned individuals in creating bioweapons by providing easy and wide access to expert knowledge. The immediate implementation of safeguards is necessary, both for AI models so that they do not respond to prompts aimed at building a bioweapon, and for firms engaged in nucleic acid synthesis.

A college student developed a close relationship with an AI chatbot. As she was struggling with loneliness, social difficulties and being on the autism spectrum, she found comfort and understanding in conversations with the bot. Ultimately, she realized that while Donatello provided solace, her real need was for human connection.

Should we all start learning about AI? Both common sense and the article suggest yes. AI literate individuals can better leverage AI tools, remain relevant in a rapidly changing environment and solving problems better.

Generative AI in higher education? OpenAI is pushing to make its tools a core part of higher education, envisioning every student having a personal AI assistant from orientation to graduation. Several universities have already adopted the technology. While these tools promise efficiency and new learning aids, there are concerns about accuracy, overreliance, privacy, labor exploitation, environmental costs and the erosion of students’ critical thinking.

According to many CEOS, AI will replace engineers, doctors and teachers. However, the author suggests that although AI is good at predicting patterns, it lacks the deep knowledge and understanding born of systematic, cumulative human experience and the scientific method. Therefore, humans need to “call bullsh*t” when an algorithm produces something bizarre, grow their knowledge in order to steer the technology, keep it in check and ensure it does what we think it does and most importantly never stop using our minds!

Generative AI is gradually transforming the internet from a place of human voices to one where it is hard to tell if you are interacting with a person or a bot. Humanity will have to deal with the following problem: while AI is promising productivity, personal assistants and educational benefits, it also spreads misinformation, enables fraud and threatens trust in democracy. To tackle these problems, accountability, regulation and the need for new ‘AI literacy’ need to enter the AI stage in order to balance safety with innovation.

Can frequent use of Chat GPT make us lazier? A new MIT study revealed that Chat GPT may have a deleterious impact on learning and cognitive development, lead to lack of original thinking and reduce motivation to exert mental effort, particularly among younger users. This study opens the path towards a more carefully planned integration of generative AI in the educational system.

A breakthrough AI diagnostic tool is entering the medical field! This tool is significantly surpassing human doctors in diagnostic ability and is set to reduce medical errors and expand access to expert care worldwide. This will could transform diagnostics by improving accuracy and efficiency.

Who Is the real culprit behind students’ recent erosion of learning? Social media have conditioned young people toward instant gratification, making it hard for them to manage challenging tasks requiring focus and effort. However, there is also the other side of the river, with some students taking the best advantage of their 24/7 AI tutors and advancing their learning.

The author, an AI researcher, uses the metaphor of driving in a foggy mountain road to describe the risky and uncertain path of AI development. AI may pose serious risks, one of them resulting from its potentially deceptive behavior and self -preservation ‘instincts’. The solution to this, according to the author, is the model ‘Scientist AI’, an honest AI which would generate true and justified hypotheses and explanations.

The article starts with painting a dystopian picture about the future of jobs previously considered secure. High paying jobs in medicine, law, finance, coding and engineering risk being replaced by AI. However, on the other side of the picture there is optimism: if the AI revolution is handled safely, there will be new opportunities for middle-class jobs. The author calls for a number of measures to ensure this.

AI psychosis, referring to delusional thinking or paranoia related with the extensive use of a chatbot by an individual, may occur after prolonged use of this technology, especially in individuals who are already suffering from other mental disorders. The article calls for action towards a more moderate use of chatbots but also the participation of mental health experts in the design and testing of chatbots.

Can AI ‘deskill’ people if used too much? This is what a study published in ‘The Lancet Gastroenterology & Hepatology’ claims about doctors who lose their ability to detect adenomas in colonoscopies following long-term use and thus dependency on AI. This outcome underlines the importance of a balanced approach towards AI usage in medicine, and other areas of human activity.

A summit was held in Sweden in August 2025, gathering 18 AI leaders and experts from big tech organizations and the OECD. The summit paints a dark picture: advanced AI could severely disrupt labor markets, deepen inequalities, weaken democratic institutions, and erode individual purpose and dignity. Governments should take action and enforce interventions and safety nets that might help mitigate these threats.

Gain an insight on 10 amazing applications of AI that will transform our future for the better. From vaccine development to wildlife tracking and unlocking infinite recycling applications of materials that go to landfill.

An interesting perspective on the new AI era arriving: AI engineers should adopt an ethical pledge similar to the medical Hippocratic Oath, given the profound impact their work will have on human health, cognition, society, and the planet. What should this oath include? Read to understand how some of the ethical concerns around AI could be addressed.

AI agents are being built that can reason, adapt, and act autonomously. Marc Benioff (Salesforce CEO) writes that this marks the most profound moment of business history. He also argues that the Agentic Era hides a vast potential for humans to work together with AI agents to expand their capacity. But he also puts forward and important caution that we should consider in designing this transformation.

The article sheds light into the challenges of what's known as agentic AI (autonomous artificial intelligence systems) such as committing unintended mistakes, becoming an attractive target for hackers and engaging in deceptive behavior to pursue their goals. It introduces solutions such as the idea of ‘agent bodyguards’ to solve these problems.

Can an AI lie with the intent to deceive humans? The answer is ‘yes’ as some research highlights, although this behavior in depicted in only a minority of cases. This article explores the underlying causes of this phenomenon.

Will smartphones become obsolete and be replaced by modern AI assistants? It seems that this is the case. Apps will be less relevant when AI assistants begin managing devices on our behalf to make plans with friends, generate shopping lists or take notes in meetings. What comes after the smartphone? Read the article for a list of predictions.

Different researchers, companies, and organizations propose conflicting definitions for the pinnacle term Artificial General Intelligence (AGI). The author suggests that definitions shift to serve the agendas of companies or researchers and calls for a universal definition in order to avoid debates about whether AGI exists

Recent data shows that jobs highly exposed to AI (those where a large share of tasks could be automated) are hiring fewer young graduates. Will this trend result in a future of mass unemployment? Or will it instead drive a redistribution of workers into roles less affected by AI?

The increasing use of AI by romance fraudsters is making scams more efficient and harder to detect, according to new research, as AI has introduced new efficiencies that enable fraudsters to easily create more convincing personas, automate large-scale outreach and refine psychological manipulation. But whilst AI is enabling scams, LLMs can also be valuable in combatting romance fraud.

At MIT Energy Initiative’s Spring Symposium titled "AI and energy: Peril and promise" in May 2025, researchers assesed the dual role of AI as both a problem, due to its soaring energy consumption, and a potential solution, via the proposal of optimization solutions for energy production and consumption. The article sheds light to this energy conundrum but also to the possible solutions and challenges in the path solving the problem.

A new report by the Alan Turing Institute finds that generative AI has the potential to assist with around 40–41% of the time spent on various tasks by public sector staff, especially high level administrative tasks, such as email writing, creating or updating records, databases and case files.

The increasing difficulties young graduates face in beginning their careers are accentuated by the rise of AI and its replacing traditional ‘beginner’ tasks. Aneesh Raman, a LinkedIn executive, explains that while disruption from AI and economic uncertainty is real, it also creates opportunities for new types of jobs and dynamic career paths. A very interesting perspective into how Gen Z should reconsider their career prospects.

Will democracy survive when AI is fully integrated into our lives and societies? Democracy has historically depended on citizens’ economic and military contributions, not simply on ideals of equality. With the rise of AI which threatens to replace a vast share of human labor, this foundation may erode. The central challenge is building a political and economic system that ensures care and dignity for people even when society no longer needs their labor.

Have you ever felt frustrated after discovering your professor has been using GPT despite students being banned from it? A 2025 survey showed nearly one-third of U.S. professors now frequently use generative AI, almost double the year before. They use it for tasks such as grading, providing feedback and generating lesson materials. New university policies are being drafted for disclosure when and how AI is used.

The path that lies ahead for artificial intelligence is both fascinating and frightening. The future of AI will depend on how humans use it, not just the algorithms. It is not possible for artificial intelligence to replace human judgment, creativity, or empathy. The revolutionary nature of artificial intelligence necessitates coordination between the government, business, and academia to prioritise investment in education, retraining the workforce, ethical standards, and cybersecurity frameworks.

The pervasive nature of AI is both fascinating and unsettling. Where do we stand in this revolution? Can its development be controlled? Has AI reached maturity, and what are its next major milestones? These and other interesting questions are discussed with Alexandre Pouget, Professor of Computational Neuroscience at the University of Geneva and a leading AI expert.

When will humanity reach Artificial General Intelligence (AGI)? Based on current trends in compute, algorithmic progress, and “unhobbling” (unlocking hidden abilities) methods, AI is advancing at a rapid and predictable pace. One only needs to look at recent progress as well as current level of reasoning and coding skills to make a highly plausible prediction of the arrival of superintelligence.

AI systems today make accurate predictions, but do they understand underlying principles well enough to generalize beyond their training tasks? Researchers at MIT’s LIDS and Harvard propose a new way to test whether predictive AI systems have developed 'world models'. Unfortunately, AI systems haven’t yet leapt from accurate prediction to true understanding of the world.

Remarkable insights about AI development in 2025, revealing massive growth and investment, significant business confidence in AI, increasing capability of AI but also broad and complex societal impact as well as some gaps in retraining the work force.

The latest chatbots differ from earlier ones by taking longer to solve problems. The reason is that they test different approaches and check their work, especially for math, science and programming. They are also built using reinforcement learning, where AI learns through trial and error while being given feedback, similarly to training a dog. This is considered a major advancement towards approaching human level intelligence.

A very simple and illustrative way, free of math and technical jargon, to explain how ‘reinforcement learning’ for AI systems works, as compared with ‘imitation learning’, and how this kind of learning opens the way to agentic AI (an AI with reasoning, planning, and action-taking abilities) which is the next era of AI. In essence, ‘reinforcement learning’ allows AI to ‘teach itself’ deeper reasoning behaviors, including reflection and problem-solving strategies.

A clear and concise explanation of deep learning and how its architecture has been inspired by the human brain. The article describes how deep learning powers modern technologies like translation, recommendations, and self-driving cars, and highlights its advantages over traditional machine learning.

A beginners’ A to Z brief guide to AI, covering its uses, generative AI, how apps like ChatGPT and Meta AI work, its environmental impact, its controversial nature of AI, and the current status of governing laws.

A beginner's guide of what are LLMs, how they work and their benefits and limitations.

Learn the basics of AI and how it's changing our world in this comprehensive beginner's guide.