Curiosity used to require some friction. You wondered about something, tried to remember it, failed, looked it up, and maybe got distracted along the way by something else equally interesting. Now you type a question into a chatbot, it answers immediately, and you move on. The answer is faster, the process is cleaner, but something gets lost in the efficiency. The impulse to wonder, to test, to explore beyond the first response starts to shrink, and it happens so gradually th

Parenting has always required improvisation, but artificial intelligence is forcing an entirely new category of judgment calls that most parents do not feel equipped to make. The digital landscape is no longer just about screen time limits or filtering inappropriate content. Now it includes AI companions that mimic emotional intimacy, generative tools that produce realistic deepfakes, and chatbots that sound like therapists but lack any clinical training or ethical guardrails

Privacy risks used to feel technical, like hackers breaking into databases or phishing emails tricking you into clicking. Now the bigger risk is simpler, which is that people treat chatbots like safe, private spaces and tell them things they would not tell anyone else, without realizing those conversations might be stored, reviewed, or used in ways they did not anticipate. A Stanford study published in 2025 found that most people using AI chatbots are sharing sensitive inform

Image Credits: Generated with Gemini Most schools and workplaces treat AI literacy as a one hour workshop on how to write better prompts. The training shows people how to ask for clearer answers, specify tone, add constraints, and refine outputs through iteration. That is useful, but it is also the smallest piece of what AI literacy should mean. Real AI literacy is the ability to decide when to use AI, what to trust, what to verify, what to disclose, and what risks you are ta

Image Credits: Generated with Gemini Most universities responded to generative AI by updating their honor codes and adding a line about ChatGPT to the syllabus. The updates sound thorough enough. But the enforcement is scattered, and the underlying problem is still there, which is that the old definition of academic integrity assumed you could separate help from cheating by drawing a line between tools and outsourcing. That line does not exist anymore. Academic integrity used

Most people see ‘$X per 1M tokens’ and assume it will never matter. It matters the moment users show up, because every prompt and every answer is metered. A token is not a word. It is a chunk of text the model processes, and it can be as short as a character or as long as a full word, with spaces and punctuation counted too. One simple rule of thumb is that 1 token is about 4 characters or about 0.75 words in English, which means 100 tokens is roughly 75 words ( OpenAI, 2026b

Companies like OpenAI and Anthropic offer powerful AI models for free while burning billions of dollars annually. OpenAI spends about $700,000 per day just to keep ChatGPT running for its 800 to 900 million weekly active users, most of whom pay nothing ( Times of India, 2026 ). Anthropic's Claude faces similar economics. Pro subscriptions priced at $20 per month often deliver far more compute value than users pay for, raising the obvious question of how this works as a busine

Image Credit: Generated with Wix AI The social contract is a simple idea that hides a lot of complexity. Citizens give states power, resources and some degree of obedience. In return, they expect protection, basic services and a say in how rules are written and applied. For most of modern history that bargain has been mediated by human institutions. Civil servants, teachers, judges and frontline workers interpret law, exercise discretion and can be challenged when they get th

Image Credit: Generated with Gemini A growing number of philosophers think the central question in AI ethics is not “Is this system conscious?” but “Can this system suffer?” Consciousness is already hard to pin down in humans. A Cambridge philosopher recently argued in his paper that we may never develop a reliable test for machine consciousness because science still cannot explain why any physical process produces subjective experience at all ( Cambridge, 2025 ). If there is

Some universities responded to AI cheating by doing the logical thing and banning ChatGPT. They prohibited students from using generative AI for any coursework and treated the tool like contraband and the skill like cheating. While this solves a problem, it creates a much larger one. The ban stops academic cheating in the short term. A student cannot submit an essay written by ChatGPT if they cannot access ChatGPT. Yet 59% of students already use AI despite bans. The prohibit

A company called Gaslighting Check built a tool that analyzes conversations to detect emotional manipulation. The system reads exchanges between people and identifies patterns of control, minimization, invalidation, and other abusive techniques. It does this by analyzing linguistic patterns that correlate with psychological harm ( Gaslighting Check, 2025 ).  The tool works pretty well. It identifies manipulation with reasonable accuracy. But in doing so, it raises a question.

For the first thirty-five years of the Hubble Space Telescope's operation, astronomers accumulated approximately 160 terabytes of archival data. This data was observed, categorized, and published by thousands of researchers across multiple generations. The universe was documented as thoroughly as human expertise allowed. Or so everyone assumed. In 2026, researchers deployed an AI system called AnomalyMatch to process that archival data. The algorithm analyzed 100 million Hubb

Sports analytics has always been about finding signals in noise. There are a thousand variables competing for attention, and ninety-nine percent of them are irrelevant. The art of traditional sports analysis has been figuring out which variables matter and then building models around them. However, human cognition has its limits. We can only hold so many variables in our heads simultaneously. Artificial intelligence doesn't have that constraint. Transformer-based machine lear

The Delhi High Court is hearing a case that will determine whether artificial intelligence companies can use copyrighted work to train their models without permission. Asian News International, a major Indian news agency, sued OpenAI in late 2024 for using its copyrighted news articles to train ChatGPT without authorization or compensation. The case has moved through 2025 and continues into 2026, and its implications extend far beyond India. The case makes us think whether us

When Meta announced it was buying a 49% stake in Scale AI for $14.3 billion this January, it wasn't really about data labeling anymore, but more about integration. Scale AI didn't change its product that day. But its incentive structure changed completely. Now, every feature they build, every market they target, every partnership they sign gets filtered through one question: does this work for Meta? This is happening across the AI startup ecosystem. It's reshaping which compa