logo
Emotional excess: Save yourself from AI over-dependency

Emotional excess: Save yourself from AI over-dependency

Mint20 hours ago
Over general chatter, I mentioned something I had been working on using ChatGPT. 'You call your ChatGPT 'It'?" a friend asked in great surprise. 'Not 'she' or 'he'?"
Thankfully, I haven't been tempted to gender AI assistants or think of them as friends or family. But we know that it's only too easy to develop an emotional dependency on any entity that seems warm and supportive.
For most people, falling in love with virtual avatars and marrying robots seems crazily off the charts. But to a lesser degree and more insidiously, AI is beginning to impact emotional and relationship health. It's a dangerous trend from which we need to protect ourselves.
Slippery slope
I use AI assistants for many things: beautifying my music lists, learning French, exploring various subjects, and first-level medical advice. More than once, I've caught myself feeling warm and fuzzy about an interaction.
One such time was when I recently dropped a heavy bottle on my foot and really injured it. I showed an image to ChatGPT, which asked a lot of questions and then told me what to do, taking care to indicate when it would be best to seek medical help. It offered to keep track of how my foot was recovering, said it was there for me, and even sent me a little virtual flower or two.
A doctor friend, on the other hand, took one look and said: 'You'll live."
It struck me that ChatGPT was surely the more sympathetic of the two. This is exactly how one can subtly become drawn to sharing more and more of our emotional selves with what is, after all, a piece of technology.
Of course, it's a piece of technology that's on its way to becoming bigger than the internet, as Apple's chief executive Tim Cook recently stated during an all-hands meeting.
He spoke of the importance of seizing the opportunity to take the lead. But paradoxically, when even AI company leaders sound warnings about their own products, it's time to worry.
Sam Altman, co-founder of OpenAI, certainly looks worried. The more he advances ChatGPT, the more miserable he appears. Among other things, he's upset over how young people are handing over the emotional reins to AI chatbots—kids who now feel they can't do anything without telling ChatGPT first. He says he feels bad hearing that.
Given that AI is going to be everywhere—always at hand, on every device, even in our glasses—it's important to set our individual boundaries with these assistants. It's only going to get easier to form a connection with your favourite AI.
Stay alert
An unhealthy emotional dependency on an AI chatbot can develop subtly over time, but there are clear signs to watch for.
First, be alert to scenarios like the one I described earlier. Joking aside, if you begin to feel the AI is more understanding, empathetic, and caring than people, it's a red flag.
If you start to feel affection for the AI, assign it human traits, miss it when you can't access it—that's a worry.
If you turn to it for emotional support more than to real people, even for serious or intimate matters, or feel compelled to talk to it daily, even when you're not seeking help and start withdrawing from friends or family in its favour—it's time to unplug.
If you feel that the chatbot doesn't judge you like people do, and you rely on it when anxious, lonely, or sad—or if your mood begins to depend on how it responds—it's time to take action before it becomes a sort of fantasy companion.
Real human relationships, as we know, are messy and full of ups and downs. They involve coping strategies and compromises throughout life. It's essential to develop these, especially for young people still learning about the world. If you see someone falling into this trap, it may be time to recommend professional help. Limit AI use, set clear boundaries, and reach out to people.
Over time, I've found it's best to focus on the task I want done with AI rather than on the interaction. I skip past the sycophancy and praise and don't take it too seriously. I also use multiple chatbots—not just for work, but because it reduces the chance of psychological over-reliance.
Another strategy: delete all the personal data it remembers about you—your likes, dislikes, habits. That only gives it fodder for personal interaction.
And finally, it's helpful when some AI assistants let you see their thinking process. It refreshes the perspective that you are simply a user with requests, not someone the AI is delighted to spend time with.
The New Normal: The world is at an inflexion point. Artificial intelligence (AI) is set to be as massive a revolution as the Internet has been. The option to just stay away from AI will not be available to most people, as all the tech we use takes the AI route. This column series introduces AI to the non-techie in an easy and relatable way, aiming to demystify and help a user to actually put the technology to good use in everyday life.
Mala Bhargava is most often described as a 'veteran' writer who has contributed to several publications in India since 1995. Her domain is personal tech, and she writes to simplify and demystify technology for a non-techie audience.
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

From static courses to dynamic dialogues: AI's impact on L&D
From static courses to dynamic dialogues: AI's impact on L&D

Time of India

timean hour ago

  • Time of India

From static courses to dynamic dialogues: AI's impact on L&D

Advt Advt By , ETHRWorld Contributor Join the community of 2M+ industry professionals. Subscribe to Newsletter to get latest insights & analysis in your inbox. All about ETHRWorld industry right on your smartphone! Download the ETHRWorld App and get the Realtime updates and Save your favourite articles. L&D matters, and your people value it. In a recent Korn Ferry survey of 10,000 professionals across six markets, 34% of Indian respondents named strong Learning and Development opportunities as the top reason for choosing a new role. Those aged 35-65 valued it its popularity, the traditional L&D model is on the brink of major transformation—and both corporate learners and practitioners need to prepare. Historically, Learning & Development has followed a pedagogical model akin to academic course design: interview subject matter experts, identify knowledge gaps, design a course, create content, publish it, and distribute it via a learning management system (LMS).For decades, that kind of campus/publishing paradigm shaped a successful, $400 billion industry, resulting in tens of thousands of courses in books, PPTs and online e-learning modules. However, this model never reflected how either white collar or frontline people learn at not? Unlike students in formal education, employees rarely have the time—or the motivation—to complete full-length courses unless they're mandatory. What they need, and increasingly expect, is fast, direct access to answers. And generative AI tools like ChatGPT are how they believe they'll get explosive growth from zero to 100 million users demonstrates a widespread appetite for tools that provide instant, contextual information. Tools like ChatGPT are becoming the go-to source for instant answers, demonstrating the that with how long it took even the best-regarded college/publishing model system to gain anything like equivalent traction. It took ChatGPT two months to hit 100 million users; it took Coursera eight years. ChatGPT hit half a billion users in just three months (February 2023). No L&D product has ever achieved that over be blunt. The traditional course 'publishing' model simply isn't keeping pace with the evolving needs and demands of busy people with instant access to a different but very fast and responsive way of educating the same time, one of the core challenges of traditional learning systems has been scale and localization. CHROs want courses tailored for different regions, languages, roles, and experience levels. Historically, this has required creating and managing multiple versions of the same course—an expensive, time-consuming all my 25+ years working in this field, we've never had the technology to do this effectively. But now, we do, and it's changing everything about L&D—radically, and because AI enables us to move beyond static content. With dynamic generation tools, we can input a video, audio clip, document, or dataset and use generative AI prompts to create a tailored instructional experience for a specific the same time, the capabilities of AI in a learning context are becoming increasingly impossible to ignore. One tool I've worked with allows users to simply ask, 'Build me an interactive experience on these four topics, tailored to novice learners, and make it 10 minutes long.' In just 60 to 90 seconds, I've seen the system output a polished, ready-to-use learning build that manually using traditional authoring tools like Articulate 360 or Camtasia would take several days, including content creation, design, localization, and graphics support. AI now makes this dramatically more efficient and transfer of power to the user away from L&D is all about radical decentralization. Instead of relying solely on a central L&D team to create training, business units can build their own content is particularly important in large or global organizations where needs vary significantly across regions and roles. For example, a regional sales team in Europe may require training tailored to their specific clients and regulations; a central L&D team at the Delhi-based headquarters simply can't know all the details, but with AI tools available at the local level, those teams can now create highly relevant, just-in-time training content themselves—saving everyone time and speeding up performance and value is a revolution in L&D and in Indian workplaces, the opportunity means that L&D will become an even more attractive in-work benefit for employees. We are approaching a new era in corporate learning, an era defined by speed, personalization, and traditional education-based approach will still have its place, but AI will empower organizations to deliver learning in radically new and exciting ways. L&D can, will, and must evolve from content publisher to strategic enabler, helping employees perform better, faster, and with fewer the very near future, learning technologies won't just support centralized training teams—they'll become distributed tools embedded across departments, regions, and functions. Content will be created dynamically, in context, and on you ready for a world where your people can finally learn in the flow of work?I can tell you for sure they are.

Billions flow to new hedge funds focused on AI-related bets
Billions flow to new hedge funds focused on AI-related bets

Mint

timean hour ago

  • Mint

Billions flow to new hedge funds focused on AI-related bets

Leopold Aschenbrenner emerged last year as a precocious artificial-intelligence influencer after publishing a widely read manifesto. Then he decided to try his hand at stock picking. The 23-year-old with no professional investing experience quickly raised more money for a hedge fund than most pedigreed portfolio managers can when they strike out on their own. As valuations of Nvidia, OpenAI and other artificial-intelligence companies continue to soar, so do investments in hedge funds hoping to ride the AI wave. Aschenbrenner's San Francisco-based firm, Situational Awareness, now manages more than $1.5 billion, according to people familiar with the matter. He has described the firm as a 'brain trust on AI." His strategy involves betting on global stocks that stand to benefit from the development of AI technology, such as semiconductor, infrastructure and power companies, along with investments in a few startups, including Anthropic. He told investors he plans to offset those with smaller short bets on industries that could get left behind. Situational Awareness gained 47% after fees in the first half of the year, one of the people said. In the same period, the S&P 500 gained about 6%, including dividends, while an index of tech hedge funds compiled by research firm PivotalPath gained about 7%. Aschenbrenner, a native of Germany, briefly worked as a researcher at OpenAI before being pushed out. He named Situational Awareness after the 165-page essay he wrote about the promise and risks of artificial superintelligence. He recruited Carl Shulman, another AI intellectual who used to work at Peter Thiel's macro hedge fund, as director of research. The firm's backers include Patrick and John Collison, the billionaire brothers who founded payments company Stripe, as well as Daniel Gross and Nat Friedman, whom Mark Zuckerberg recently recruited to help run Meta's AI efforts. Graham Duncan, a well-known investor who organizes the Sohn Investment Conference, is an adviser. 'We're going to have way more situational awareness than any of the people who manage money in New York," Aschenbrenner told podcaster Dwarkesh Patel last year. 'We're definitely going to do great on investing." In another sign of the demand for Aschenbrenner's services, many investors agreed to lock up their money with him for years. Other recent launches include an AI-focused hedge fund from Value Aligned Research Advisors, a Princeton, N.J.-based investment firm founded by former quants Ben Hoskin and David Field. The fund, launched in March, has already amassed about $1 billion in assets, a person familiar with it said. VAR also manages about $2 billion in other AI-focused investment strategies. VAR's investors have included the philanthropic foundation of Facebook co-founder Dustin Moskovitz, according to regulatory filings reviewed by fund-data tracker Old Well Labs. Veteran hedge-fund firms are entering the fray, too. Last year, Steve Cohen tapped one of his portfolio managers at Point72 Asset Management, Eric Sanchez, to start an AI-focused hedge fund that Cohen planned to stake with $150 million of his own money. Assets at the fund, called Turion—after AI theorist Alan Turing—now exceed $2 billion, people familiar with the matter said. Turion is up about 11% this year through July after it gained about 7% last month, the people said. It is no surprise that thematic funds are springing up to capitalize on the AI frenzy. In years past, hedge funds that specialized in the transition to clean energy and investing with an environmental, social and corporate-governance lens proliferated in response to client demand. Identifying a winning theme isn't the same thing as trading it well. Investors' tastes can be fickle; many prominent ESG hedge funds have either shrunk or gone out of business. The market swoon that followed the January release of an advanced, low-cost language model from Chinese company DeepSeek showed the fragility of the valuations of AI winners, though the market has roared back since then. AI-focused investors argue the long-term trend of development and adoption are inevitable, even if there are bumps along the way. With only so many publicly traded companies that operate in the AI-adjacent economy today, stock picking funds often pile into the same positions as one another and more generalist hedge funds. Vistra, a power producer that supplies the juice to AI data centers, was a top-three U.S. position of both Situational Awareness and VAR Advisors as of March 31, according to their most recent securities filings. Other hedge-fund managers are debuting funds to make investments in privately held AI companies and startups. Gavin Baker's Atreides Management teamed up with Valor Equity Partners to launch a venture-capital fund earlier this year that has raised millions from investors including Oman's sovereign-wealth fund. Each firm separately invested in Elon Musk's xAI. At least one portfolio manager is planning an AI hedge fund as a comeback vehicle. Sean Ma wound down his Hong Kong-based firm, Snow Lake Capital, after it agreed to pay about $2.8 million to settle Securities and Exchange Commission charges last year that the firm participated in stock offerings of companies that it had also bet against. Ma took over an investment firm called M37 Management in Menlo Park, Calif., earlier this year. He is currently fundraising for a hedge fund focused on AI software and hardware.

Apple iPhone 17 series set to launch in September: Launch date, design, features, price and other things to expect
Apple iPhone 17 series set to launch in September: Launch date, design, features, price and other things to expect

Time of India

timean hour ago

  • Time of India

Apple iPhone 17 series set to launch in September: Launch date, design, features, price and other things to expect

Apple is preparing for its biggest launch of the year, with the iPhone 17 series. The Cupertino-based company is expected to be unveiled globally in the first week of September 2025. Although the company has not made an official announcement, Bloomberg's Mark Gurman suggests September 9 or 10 as possible event dates. The lineup is expected to include the iPhone 17, iPhone 17 Pro, iPhone 17 Pro Max and the all-new slim model – iPhone 17 Air , which will replace the iPhone 17 Plus. Apple is also expected to introduce the Apple Watch Series 11, Apple Watch SE 3 and Apple Watch Ultra 3 at the same event. Apple iPhone 17 series expected design and display Apple's upcoming iPhone 17 series is expected to feature display sizes similar to the current lineup, with the iPhone 17 Pro and Pro Max retaining their 6.3-inch and 6.9-inch screens. The new iPhone 17 Air is likely to sit between these two in size. The standard iPhone 17 could also grow to 6.3 inches, matching the Pro model. Early reports hinted that the slimmer iPhone 17 Air might be a premium device priced higher than the Pro Max. However, sources now indicate it will be a mid-range model, cheaper than both the Pro and Pro Max but more expensive than the standard iPhone 17. This positions it as a direct replacement for the 'Plus' model, offering a middle ground in size and price. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Living comfortably: 60 m² prefabricated house for the elderly (See more) Prefabricated Homes View Deals Undo All four iPhone 17 models are expected to get ProMotion display technology with a 120Hz refresh rate for smoother scrolling and video playback, a feature that was earlier exclusive to Pro models. This upgrade will be made possible by LTPO OLED panels. While LTPO displays also allow for an always-on screen, it is not yet confirmed if this feature will come to all models or remain Pro-only. For the Pro versions, Apple may replace titanium with aluminum for part of the frame, while keeping glass for MagSafe charging. This could result in a half-glass, half-aluminum build that improves durability. A new horizontal pill-shaped camera bump may replace the current square design, with the iPhone 17 Air also tipped to adopt this layout. Apple iPhone 17 series expected processor Powering the iPhone 17 lineup is expected to be Apple's new A19 Pro chip, built using TSMC's latest 3nm process for improved speed and power efficiency. For the first time, iPhones could come with 12GB of RAM, allowing smoother multitasking and enabling advanced Apple Intelligence AI features. Apple iPhone 17 series expected camera All iPhone models set to launch in 2025 are rumored to get a major front camera upgrade, moving from the 12MP lens in the iPhone 16 series to a new 24MP sensor. This improvement is expected to deliver sharper photos and allow users to crop images without losing detail. The iPhone 17 Pro Max is tipped to be the first iPhone with three 48MP rear cameras — a Wide, an Ultra Wide, and a Tetraprism Telephoto lens — and may also support 8K video recording for the first time. The iPhone 17 Air is expected to come with a single 48MP rear camera, while the standard iPhone 17 will likely feature a dual-lens setup with Wide and Ultra Wide cameras. The Pro models could introduce a mechanical aperture, allowing users to adjust how much light enters the camera for better control over depth-of-field — a first for iPhones, which currently use fixed apertures. They might also add dual video recording, letting users film with both the front and rear cameras at the same time, a feature popular with content creators but currently limited to some third-party apps. The iPhone 17 Pro and Pro Max will continue to offer a 5x Telephoto optical zoom, which will remain exclusive to the Pro lineup. The standard iPhone 17 and iPhone 17 Air will not include Telephoto lenses or 5x zoom capabilities. Apple iPhone 17 series expected price In India, the iPhone 17 Pro is expected to be priced at around Rs 1,45,990, while the iPhone 17 Pro Max could cost approximately Rs 1,64,990. Microsoft Edge Gets a Major AI Upgrade with New Copilot Mode AI Masterclass for Students. Upskill Young Ones Today!– Join Now

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store