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ChatGPT delivered a surprisingly grounded response when asked what a “normal person” should do to become financially free echoing advice long championed by seasoned investing experts.

The moment unfolded on The Diary of a CEO podcast, where host Steven Bartlett posed a deliberately simple question to the AI chatbot. Bartlett, who earns $50,000 a year in the hypothetical scenario, asked ChatGPT to give a one-sentence answer on achieving financial freedom, drawing on “all the wisdom in the world.”

Before revealing the AI’s response, Bartlett turned to guest JL Collins author of The Simple Path to Wealth and a leading voice in passive investing. Collins’ advice was succinct: avoid debt, live below your means, and invest the surplus.

ChatGPT’s answer closely mirrored that philosophy. The chatbot recommended consistently saving and investing in low-cost, broad-based index funds such as the S&P 500, while living below one’s means and allowing compounding to work over time.

Bartlett followed up with another broad question: “How do I earn more?” Once again, the AI’s advice aligned with traditional thinking suggesting the development of high-demand skills, seeking career advancement, exploring side hustles, or investing in assets that generate passive income like real estate or dividends.

Collins noted that the response closely resembled principles from his own work, joking that ChatGPT may have “mined his book.” However, the conversation also turned toward the future of work. Collins observed that skills like programming, once considered essential, may no longer guarantee security in the age of artificial intelligence.

That concern was echoed by OpenAI CEO Sam Altman, who has warned that AI-driven automation could significantly disrupt employment. Altman has said that many customer support roles may be replaced by AI, and that roughly half of all jobs historically undergo major change every 75 years a process he believes may now happen much faster.

The exchange highlights a striking paradox: while AI is expected to reshape careers and disrupt labour markets, its financial advice at least for now remains firmly rooted in old-school discipline rather than get-rich-quick promises.

Short Summary

ChatGPT’s advice on becoming financially free surprised listeners by closely matching the guidance of veteran investor JL Collins emphasising saving, low-cost index investing, skill development and long-term compounding over flashy shortcuts.

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OpenAI’s reported move toward advertising including testing ads within ChatGPT responses and preparing a Super Bowl LX commercial signals a major strategic pivot for the AI giant. Once framed as one of humanity’s most transformative inventions, ChatGPT is now confronting a far more prosaic challenge: how to survive financially.

On the surface, OpenAI’s numbers appear extraordinary. Recurring revenue reportedly reached $20 billion in 2025, up tenfold in just two years. ChatGPT claims around 800 million active users, with over a million businesses paying for access. By conventional startup metrics, the company looks like a runaway success.

Yet profitability tells a very different story. According to Deutsche Bank estimates, OpenAI could accumulate as much as $143 billion in negative cumulative free cash flow between 2024 and 2029. With only about $17 billion in cash reserves and infrastructure commitments reportedly running into the trillions, analysts argue the company faces an unprecedented scale of losses one that dwarfs even Amazon’s famously unprofitable early years.

Unlike Amazon, however, OpenAI lacks a diversified, cash-generating core business to subsidise its long-term bets. That contrast is clearest when compared with Google. Alphabet’s AI investments sit atop hugely profitable pillars Search advertising, YouTube, Google Cloud and Workspace all of which generate stable cash flow. Google also owns much of its infrastructure and chip supply, while OpenAI remains dependent on external providers for computing power.

This structural gap has made OpenAI’s path to profitability increasingly uncertain. The company would reportedly need to grow annual revenue to around $200 billion within four years to break even a target that appears implausible under existing growth levers. Market expansion adds computing costs rather than lowering them. Price hikes are constrained, with only about 5 per cent of users currently paying for subscriptions. Product diversification, including video generation, browsers and hardware, further raises capital and R&D expenditure.

Against this backdrop, advertising has emerged as a reluctant fallback. OpenAI has begun experimenting with ads in free and low-cost tiers, despite CEO Sam Altman previously calling advertising a “last resort.” Analysts estimate ads could bring in around $25 billion annually by 2030 a significant sum, but far short of what would be required to offset projected losses.

The planned Super Bowl commercial may reinforce OpenAI’s ambition and cultural relevance, but it also underlines a deeper reality: innovation alone is no longer enough. Without a clear and credible route to sustainable profit, OpenAI’s bold vision risks colliding with hard economic limits. In the race to define the future of artificial intelligence, the challenge now is not invention it is survival.

Short Summary

OpenAI’s move to introduce advertising in ChatGPT reflects mounting financial pressure despite explosive revenue growth. With massive infrastructure costs, widening losses and limited pricing power, analysts view ads as a last-resort revenue stream that may still fall short of ensuring long-term profitability.

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ChatGPT

The world’s most popular AI chatbot, ChatGPT, went offline for thousands of users on Wednesday, leaving many frustrated and searching for answers. Reports of disruptions started pouring in shortly after 11 am, according to Downdetector, a service that tracks online platforms and outages.

By midday, users across India, the United States, and Europe flagged issues ranging from failed responses to complete network errors on both the website and the mobile app.

How Many Users Were Affected?

Initial reports suggest that hundreds of users flagged problems within 20 minutes of the outage. At its peak, over 500 users in India alone reported issues, while thousands globally experienced disruptions. By 3:30 pm, reports had dropped significantly, with only 42 users still facing issues.

  • 85% of complaints were linked to ChatGPT not responding.
  • 13% of users reported problems with the OpenAI website.
  • 2% flagged disruptions with Writing Coach, an integrated tool.

OpenAI’s Response

As of now, OpenAI has not released an official statement regarding the cause of the outage. Some users reported that the service was working intermittently, while others continued to face errors, suggesting that the problem may have been partially resolved but not completely fixed.

Past ChatGPT Outages

This is not the first time ChatGPT has gone dark. The platform has experienced several major outages in recent months:

  • January 23, 2025: A global outage lasting over three hours disrupted users across Spain, Argentina, and the United States.
  • December 26, 2024: A technical glitch caused widespread downtime.
  • February 5, 2025: Over 22,000 outage reports were filed worldwide as ChatGPT remained inaccessible.
  • September 2025: A string of shorter outages occurred between September 1 and September 3, with disruptions lasting up to 10 minutes each.

What This Outage Means for Users

ChatGPT has become a critical tool for millions of people—students, businesses, and professionals alike. Outages highlight both the massive dependency on AI platforms and the challenges of keeping such large-scale systems consistently available. While downtime is usually short-lived, it often pushes users to explore alternatives or diversify their tools.

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ChatGPT Go plan

OpenAI has rolled out a new subscription tier, ChatGPT Go, in India, marking the first step in a strategy to make advanced AI tools more accessible in cost-sensitive markets. Priced at ₹399 per month, the plan bridges the gap between the free version and the premium tiers, offering more power and flexibility without the higher cost.

Why ChatGPT Go Matters for Indian Users

For a long time, Indian users have asked for two things: affordability and local payment options. ChatGPT Go addresses both. By introducing an India-first plan with rupee pricing and support for UPI payments, OpenAI has removed barriers that often kept casual users from upgrading.

This new tier gives users 10× more message capacity, 10× more image generations, 10× more file uploads, and double the memory length compared to the free version. It’s designed for students managing projects, freelancers working with clients, and professionals who need AI for daily workflows but don’t require the full suite of Plus or Pro.

Features That Set ChatGPT Go Apart

The Go plan offers a balance of power and value. Some key highlights include:

  • 10× higher usage limits for uninterrupted conversations.
  • Expanded creative tools with more image generations.
  • File uploads at a scale better suited for research, learning, or professional work.
  • Extended memory that allows for more context retention.

By packaging these features at a lower cost, the Go plan creates room for everyday productivity without forcing users into higher-priced tiers.

India-First Rollout and Global Implications

Launching ChatGPT Go in India first is more than a pricing experiment—it’s a recognition of India’s growing importance in the global AI ecosystem. With one of the largest user bases for digital tools and a strong preference for value-driven technology, India provides the ideal testbed for this tier.

The move also signals a shift towards inclusivity, ensuring that generative AI isn’t just for enterprises or high-end subscribers but also for students, creators, and individuals looking to use AI for learning, exploration, and personal growth.

The Subscription Landscape

With this launch, ChatGPT now offers four clear tiers:

  • Free Plan (limited usage)
  • Go Plan (₹399/month)
  • Plus Plan (₹1,999/month)
  • Pro Plan (₹19,999/month)

The Go plan fills the crucial middle space, giving users flexibility at a price point suited for wider adoption.

A Step Toward Greater Accessibility

For many, the biggest win is the introduction of UPI payments, which makes subscribing as simple as making any daily digital transaction. Combined with transparent INR pricing, this removes two major pain points—currency conversion and payment friction.

By lowering the entry barrier and giving people more practical capacity, OpenAI is positioning ChatGPT Go as the tool that brings AI into everyday routines, from drafting assignments to generating creative projects and managing professional workflows.

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OpenAI

In a sharp turn of events in the competitive world of artificial intelligence, Anthropic has publicly accused OpenAI of using its proprietary Claude coding tools to refine and train GPT-5, its highly anticipated next-generation language model. The allegation has stirred significant debate in the tech world, raising concerns about competitive ethics, data use, and the boundaries of AI benchmarking.

A Quiet Test Turns Loud: How the Allegation Surfaced

The dispute came to light following an investigative report by Wired, which cited insiders at Anthropic who claimed that OpenAI had been using Claude’s developer APIs—not just the public chat interface—to run deep internal evaluations of Claude’s capabilities. These tests reportedly focused on coding, creative writing, and handling of sensitive prompts related to safety, which gave OpenAI insight into Claude’s architecture and response behavior.

While such benchmarking might appear routine in the AI research world, Anthropic argues that OpenAI went beyond what is considered acceptable.

Anthropic Draws the Line on API Use

“Claude Code has become the go-to choice for developers,” Anthropic spokesperson Christopher Nulty said, adding that OpenAI’s engineers tapping into Claude’s coding tools to refine GPT-5 was a “direct violation of our terms of service.”

According to Anthropic’s usage policies, customers are strictly prohibited from using Claude to train or develop competing AI products. While benchmarking for safety is a permitted use, exploiting tools to optimize direct competitors is not.

That distinction, Anthropic claims, is what OpenAI crossed. The company has now limited OpenAI’s access to its APIs—allowing only minimal usage for safety benchmarking going forward.

OpenAI’s Response: Disappointed but Diplomatic

In a measured response, OpenAI’s Chief Communications Officer Hannah Wong acknowledged the API restriction but underscored the industry norm of cross-model benchmarking.

“It’s industry standard to evaluate other AI systems to benchmark progress and improve safety,” Wong noted. “While we respect Anthropic’s decision to cut off our API access, it’s disappointing considering our API remains available to them.”

The statement suggests OpenAI is seeking to maintain diplomatic ties despite the tensions.

A Pattern of Caution from Anthropic

This isn’t the first time Anthropic has shut the door on a competitor. Earlier this year, it reportedly blocked Windsurf, a coding-focused AI startup, over rumors of OpenAI’s acquisition interest. Jared Kaplan, Anthropic’s Chief Science Officer, had at the time stated, “It would be odd for us to be selling Claude to OpenAI.”

With GPT-5 reportedly close to release, the incident reveals how fiercely guarded innovation has become in the AI world. Every prompt, every tool, and every line of code has strategic value—and access to a rival’s system, even indirectly, can be a game-changer.

What This Means for the Future of AI Development

The AI landscape is becoming increasingly guarded. With foundational models becoming key differentiators for companies, control over access—especially to development tools and APIs—is tightening.

Anthropic’s defensive stance could be a sign of things to come: fewer shared benchmarks, more closed systems, and increased scrutiny over how AI labs test, train, and scale their models.

As for GPT-5, questions now swirl not only around its capabilities but also its developmental origins—a storyline that will continue to unfold in the months ahead.

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MIT's Brain Study on frequent ChatGPT users

A Shocking Study That Raises Eyebrows

An incredible brain-scan study conducted over four months by researchers at MIT, they reveal that significant cognitive consequences are tied to prolonged ChatGPT usage. While the AI tool undoubtedly boosts productivity, its frequent use appears to undermine memory, brain connectivity, and mental effort.

Reduced Brain Activity in Everyday Users

The study supervised a group of participants who used ChatGPT on a regular basis, they found that there was a 47% decline in brain connectivity scores—from 79 down to 42 points. Feasibly most alarming was that 83.3% of users couldn’t recall even a single sentence that they had read or generated just few minutes earlier. Even after stopping using AI , participants showed very minimal signs of cognitive recovery or re-engagement.

Efficiency vs. Effort

As we look at a bigger picture, ChatGPT made users 60% faster in completing tasks, especially essays and written reports. But these outputs were stated as robotic, that they lack depth, emotion, and human insight. The users utilized 32% less mental effort on average, signaling a troubling trend. Speed was gained but at what cost? – real thinking.

Building A foundational understanding

Interestingly, the top-performing group in the study started without any AI assistance, building a foundation of understanding before introducing ChatGPT into their workflow. These participants retained better memory, exhibited stronger brain activity, and produced the most well-rounded content. This approach suggests that AI should be a scaffold, not a crutch.

Dulling the Blade of the Mind

MIT’s findings point toward a growing concern: overdependence on AI may be eroding our cognitive resilience. The study emphasizes that using ChatGPT as a shortcut, especially in younger users, might hamper long-term intellectual development. Early exposure without structured guidance could potentially flatten the curve of curiosity and critical reasoning.

Redefining the Role of AI in Learning

Rather than sounding a death knell for AI tools, the MIT study encourages thoughtful integration. AI should be used as an assistant to direct your thinking not replacing it emerges as the significant takeaway. We must now ask that – How do we ensure AI is an enhancement tool, and  not a substitute for the human mind?

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OpenAI’s generative AI tool, ChatGPT, is shattering records with over 2.5 billion daily prompts, a remarkable milestone that underscores the platform’s rapid global expansion. According to newly obtained data, this figure translates to an astonishing 912.5 billion annual interactions, highlighting how deeply embedded the AI chatbot has become in everyday digital workflows.

US Leads the Charge in Prompt Volume

Out of the billions of interactions processed each day, around 330 million originate from the United States, positioning the country as ChatGPT’s largest user base. A spokesperson from OpenAI has verified the accuracy of these figures, affirming the monumental scale at which the AI platform operates today.

Growth That Stuns Even the Tech Industry

What makes this surge even more notable is the meteoric rise in active users. From 300 million weekly users in December to over 500 million by March, the trajectory shows no signs of slowing. This exponential rise is not just a milestone for OpenAI—it represents a fundamental shift in how users interact with information and automation.

A Looming Threat to Google’s Search Supremacy

While Google still maintains dominance with 5 trillion annual searches, the momentum behind ChatGPT suggests a possible reshaping of the search engine landscape. Unlike Google’s keyword-based model, ChatGPT provides direct, human-like responses, offering users a more conversational and task-oriented experience.

Strategic Moves: AI Agent and Browser on the Way

Adding to its expanding arsenal, OpenAI recently launched ChatGPT Agent, a powerful tool capable of performing tasks on a user’s device autonomously. This marks a major step toward an all-in-one digital assistant. In addition, OpenAI is reportedly planning to launch a custom AI-powered web browser, designed to rival Google Chrome directly—an aggressive move that signals OpenAI’s ambitions beyond just chat.

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In a move that’s sure to delight digital creators, OpenAI has just made managing your AI-generated visuals a whole lot easier. Whether you’re a casual experimenter or a regular prompt wizard, the new ChatGPT Image Library is here to turn scattered artwork into a streamlined experience—all in one sleek space.

And here’s the best part: it’s available to everyone, both free and paid users, across web and mobile versions.


So, What’s New?

Right in ChatGPT’s sidebar, a fresh section called “Library” has quietly made its debut. Click it, and you’re greeted with a visually satisfying grid—a collection of every image you’ve ever conjured up through AI prompts. No more scrolling through endless chats to find that one cool dragon you made three weeks ago.

But this isn’t just a gallery—it’s a fully functional workspace designed to keep your creativity flowing.


Create, Edit, Share—Repeat

Beneath the image grid, you’ll notice a handy “Make images” button. Tap it, and you’re instantly launched into a new image generation session. You describe what you want, and ChatGPT takes care of the magic—conjuring visuals that range from photo-realistic scenes to dreamy illustrations.

Each image comes with tools you’ll actually use:

Edit: Need a tweak? Tap this, and it takes you straight back to the original conversation where you first created the image. You can revise your prompt and update the artwork effortlessly.

Select: Highlight a specific area of the image you want to change—maybe a face, a background detail, or a color scheme. This lets you make targeted edits without tossing the whole thing and starting over.

Save or Share: Download it, share it with your audience, or send it to a friend—whatever suits the moment.


Why It Matters Now

This feature didn’t just pop up randomly—it follows hot on the heels of OpenAI’s recent update that introduced GPT-4o-powered image generation to ChatGPT. The model has been praised for creating images that feel both stylised and remarkably lifelike. And with the new image library, you now have a place to organize, refine, and reuse those creations like never before.

It’s a shift toward treating AI art more seriously—not as one-off experiments, but as creative assets worth managing.


Where to Find It

Getting started is simple:

  1. Open ChatGPT on your browser or mobile app.
  2. Look for the Library option in the sidebar.
  3. Tap it, and explore your visual collection—or start making new ones.

Final Take

Whether you’re building a digital comic, brainstorming logo ideas, or just playing around with surreal scenes, this new image library adds a layer of polish to the creative process. It’s clean, intuitive, and exactly what ChatGPT users needed to manage the growing world of AI-generated imagery.

One thing’s for sure: AI art just got a whole lot more organized.

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In an era where artificial intelligence is rapidly becoming an everyday companion—from helping draft emails to brainstorming business ideas—the way we ask AI matters more than ever. Recognizing this shift, Google has released a comprehensive 68-page guide to help users get the most out of its AI tool, Gemini, available through the Vertex AI platform.

But don’t let the term “guide” intimidate you. This isn’t a dry manual full of jargon. Instead, it’s a practical, easy-to-understand roadmap for improving how we interact with AI. At its heart lies a skill called prompt engineering—a fancy term for something surprisingly intuitive: asking the right questions, the right way.


The Secret Sauce? Clear Instructions and Smart Examples

Let’s face it—AI isn’t a mind reader. The way we phrase our questions or commands, called prompts, can make or break the quality of the response we get. That’s where Google’s advice comes in clutch.

One of the standout tips? Lead with examples. Think of AI as someone you’re training. You don’t just throw tasks at a new hire without a walkthrough, right? Show AI what you want. Whether you’re looking for writing help, code suggestions, or teaching support, feeding the model examples sets the tone—and expectation.

Another key takeaway: simplicity wins. The more straightforward your prompt, the better the result. AI might be powerful, but it doesn’t benefit from overly complex sentences or instructions filled with “don’ts” and double negatives. Instead of saying “Don’t include fluff,” try “Write only the facts.” That subtle shift in framing can change the outcome dramatically.


Setting the Scene: Context Is King

Google’s guide also dives into more advanced territory—without making it feel like a tech lecture. One clever trick? Giving your prompt a role or goal. For instance, beginning your message with “You are a travel planner” instantly frames the interaction. It’s like handing the AI a script before it performs.

Adding context—like “the user is a college student with a part-time job”—helps the AI fine-tune its tone and content even more. You can also ask it to walk through its reasoning step-by-step, which often results in richer, more accurate answers.


Why This Matters More Than You Think

Whether you’re using Gemini, ChatGPT, Claude, or any of the major AI platforms, prompt design is the one skill that can supercharge your results. And it doesn’t require coding. Just a little structure and clarity.

Google’s latest guide is not just about Gemini. It’s a playbook for anyone who wants to bridge the gap between human intent and machine output. In a world increasingly driven by automation and smart tools, knowing how to speak to AI is fast becoming a superpower.

So, whether you’re writing your first prompt or fine-tuning a workflow for a business use case, Google’s guide has laid down the blueprint. It’s clear, approachable, and a must-read for anyone looking to stay ahead in the age of intelligent tools.

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The internet has seen its fair share of viral trends, but nothing quite like this. OpenAI’s latest update to ChatGPT, which enables native image generation, has sparked a digital art revolution. Social media platforms are flooded with stunning, AI-crafted illustrations—particularly in the beloved Studio Ghibli style. However, this explosion of creativity has come at a cost, prompting OpenAI’s CEO, Sam Altman, to plead with users to slow down.

“Can Y’all Please Chill?”—Sam Altman Sounds the Alarm

As millions of users push ChatGPT’s new image generation feature to its limits, Altman took to X (formerly Twitter) with an urgent request:

“Can y’all please chill on generating images? This is insane, our team needs sleep.”

In another post, he described the overwhelming surge in demand as “biblical”, admitting that OpenAI has been struggling to keep up since launching the feature. With GPUs under immense strain, even premium users of ChatGPT Plus and Pro have faced limitations on image generation.

The Magic Behind ChatGPT’s Native Image Generation

For some time, ChatGPT has been capable of generating images through external models like DALL·E 3. But this new update changes everything. OpenAI’s latest upgrade integrates image generation directly into the same large language model (LLM) that processes text. This seamless fusion means that ChatGPT now has a deeper contextual understanding of prompts, producing artwork that is not only visually stunning but also more nuanced and accurate.

Initially rolled out to ChatGPT Plus, Pro, and Team users, the feature has now extended to free-tier users, further fueling the frenzy. The ability to transform ordinary prompts into Ghibli-style masterpieces has proven irresistible, leading to a surge in demand that even OpenAI didn’t anticipate.

From Ghibli Aesthetics to Full Creative Control

While the Ghibli-style images have become the star of this viral moment, ChatGPT’s image-generation capabilities extend far beyond whimsical fantasy landscapes. The AI can now generate a variety of creative assets, including:

  • Comics and Storyboards – Users can bring their stories to life with AI-generated comic panels.
  • Posters and Infographics – Businesses and content creators are leveraging AI to design eye-catching visuals.
  • Character Concepts and Illustrations – From anime-style portraits to fantasy creatures, the possibilities are endless.

Will OpenAI Be Able to Keep Up?

The question now is whether OpenAI can handle this biblical demand. If the current trend continues, even more restrictions may be implemented to prevent system overload. Altman’s urgent pleas highlight a fundamental issue: AI-generated creativity is evolving faster than even the most advanced tech companies can handle.

For now, users continue to push the boundaries of ChatGPT’s capabilities—whether OpenAI likes it or not. The Ghibli craze is far from over, and as AI-driven art becomes more accessible, one thing is clear: the future of creativity is here, and it’s powered by artificial intelligence.

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