Latest news with #DALL·E
Time of India
2 hours ago
- Business
- Time of India
Who is Mira Murati? Former OpenAI CTO who rejected Mark Zuckerberg's $1 billion offer to join Meta AI
Mira Murati, the Albanian-American tech visionary behind some of the most significant breakthroughs in artificial intelligence, is once again in the spotlight—this time for turning down an eye-watering $1 billion offer from Meta CEO Mark Zuckerberg . As the former CTO of OpenAI and now the founder of the AI startup Thinking Machines Lab, Murati has become one of the most influential figures in the global AI race. Her team's unanimous rejection of Meta's massive offer speaks volumes about their confidence in her leadership and their belief in the startup's long-term vision. Mira Murati: The mind behind ChatGPT and beyond Before launching Thinking Machines Lab, Mira Murati served as the chief technology officer at OpenAI, one of the most influential positions in the modern AI world. During her tenure, she played a pivotal role in leading the development of groundbreaking technologies such as ChatGPT, DALL·E, and Codex—systems that have since transformed the way people interact with artificial intelligence. Her work helped bring generative AI into the mainstream, sparking a global wave of innovation across industries from education and healthcare to design and coding. Murati wasn't just a technical leader—she was a strategic visionary. At OpenAI, she emphasized the importance of safety, alignment, and responsible development, pushing the organization to think deeply about the societal impact of powerful AI systems. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Your Finger Shape Says a Lot About Your Personality, Read Now Tips and Tricks Undo Internally, she earned the reputation of being the 'AI brain' behind OpenAI's most ambitious projects, praised for her calm, focused demeanor and her ability to guide multidisciplinary teams through intense periods of innovation. Her combination of engineering precision and human-centered thinking set the stage for her next bold move: founding her own AI company. Thinking Machines Lab: a startup with billion-dollar belief Founded in early 2025, Thinking Machines Lab has rapidly emerged as one of the most-watched AI startups. Despite not launching a single product yet, the company recently raised a stunning $2 billion seed round at a valuation nearing $12 billion, led by Andreessen Horowitz. The startup's goal: to create customizable, interpretable, and widely accessible AI systems that could redefine the AI landscape. Why Murati's team said no to Meta According to a Wired report, Zuckerberg's Meta offered some of Murati's team members compensation packages ranging from $200 million to $1 billion to join its newly launched Superintelligence Lab. But every single offer was turned down. Sources say the Thinking Machines Lab team believes their equity in the startup has the potential to be worth far more—and more importantly, they value their independence and Murati's vision over big-tech paychecks. In a tech industry where massive paydays often drive decisions, the loyalty displayed by Murati's team stands out. The rejection of Meta's lucrative offers highlights their belief in the startup's mission and long-term potential. Many observers also note that the chance to help shape AI's future from the ground up, without the constraints of a corporate giant, is a rare and meaningful opportunity—one Murati has worked hard to create. A name to watch in AI's future Mira Murati's leadership has already been recognized worldwide—she was featured in Time's 100 Most Influential People in AI (2024) and Fortune's 100 Most Powerful Women in Business (2023). With Thinking Machines Lab gaining momentum and Meta's billion-dollar offers rebuffed, Murati has solidified her place not just as a builder of AI—but as a shaper of its future.
Time of India
26-06-2025
- Business
- Time of India
Will AI take your job? Here are 7 tips that can help you stay ahead in the volatile job market
AI and machine learning jobs In the past year alone, the job market has witnessed tremors that few could have predicted with such velocity. From Silicon Valley to Seoul, companies are not just trimming excess; they are restructuring workforces under the weight of artificial intelligence and automation. Major firms—from media conglomerates to multinational tech giants—have laid off thousands, citing 'operational efficiency' driven by AI integration. IBM paused hiring for roles it believed could soon be automated. BuzzFeed dismantled its newsroom, turning to AI-assisted content. Even customer support, data entry, and paralegal roles, once deemed irreplaceable due to their human touch, are now under the scanner. But amidst this churn, there is a silver lining. A fork in the road: Displacement or reinvention? The narrative that AI will blanket the workforce in obsolescence is not only alarmist—it is also incomplete. Yes, automation is replacing repetitive, rules-based tasks. But it is simultaneously creating demand for new roles that require judgment, empathy, strategic thinking, and interdisciplinary fluency. According to the World Economic Forum, while 85 million jobs may be displaced by 2025, 97 million new roles may emerge that are better adapted to the division of labor between humans, machines, and algorithms. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Brass Krishna Idols For Prosperity & Protection In Life Luxeartisanship Shop Now Undo The question is no longer if your job will change, but how you will adapt to change before it becomes an ultimatum. Here are strategic tips to stay ahead of AI disruption Being anxious won't help us, but having a concrete strategy would. Here are tips that can help you safeguard from AI disruption. Embrace continuous learning, ruthlessly The half-life of skills is shrinking. What was once a decade is now three to five years. Enroll in short courses, micro-credentials, or even self-paced certifications in areas like data literacy, digital tools, project management, or design thinking. Platforms like Coursera, edX, and Khan Academy are not just for students—they're the adult armor against irrelevance. Staying curious is no longer optional; it's your economic lifeline. Double down on human-centric skills Machines can calculate and optimize. But they cannot replicate you . Hone your storytelling, negotiation, leadership, creativity, and emotional intelligence—traits that remain the exclusive domain of human cognition. Roles like UX designers, brand strategists, therapists, teachers, and conflict-resolution experts are seeing a resurgence, precisely because AI can't replicate intuition and empathy. Learn to co-work with AI Rather than competing with AI, learn how to collaborate with it. Writers are using ChatGPT to brainstorm faster. Data analysts are using machine learning to augment insights. Designers are using generative tools like Midjourney or DALL·E to accelerate ideation. Become the professional who knows how to pilot AI tools—not the one who fears them. Build a multi-domain skill stack The age of deep silos is fading. The most resilient professionals combine skills from diverse fields—think data analyst with storytelling skills, or marketer with coding basics. This hybrid fluency allows you to pivot quickly and plug into multiple roles, making you far harder to replace. Focus on roles that involve decision-making and strategy Automation thrives in execution, but it falters in ambiguity. Strategic roles that involve evaluating risks, managing people, or navigating unstructured problems will remain insulated longer. If you can position yourself as a decision-maker rather than an executor , you shift from replaceable to indispensable. Strengthen your digital presence and portfolio In a world where hiring is increasingly digital, your online footprint is your reputation. Keep your LinkedIn current. Create a portfolio—even if you're not a creative. Write blogs, publish thought pieces, or even share case studies of your work. Let recruiters and algorithms see your value , not just your résumé. Think like an entrepreneur—even if you're an employee Treat your career like a startup: agile, evolving, and opportunistic. Can you create a niche offering in your domain? Can you consult, mentor, or freelance on the side? Even within your job, seek intrapreneurial opportunities—launch initiatives, volunteer for cross-functional projects, or lead change. This entrepreneurial mindset breeds resilience, and more importantly, relevance . Hope, not hype: A future worth building While the anxiety around job loss is legitimate, history shows that technological revolutions do not lead to permanent unemployment—they lead to redefinition . The industrial revolution didn't eliminate work; it restructured it. The digital revolution did the same. And now, AI is simply the next chapter in that continuum. The winners of this era will not be those who resist change, but those who preempt it—those who learn, adapt, and evolve faster than their roles can become obsolete. Final Word Will AI take your job? Possibly. Can you future-proof yourself against it? Absolutely. Because at the end of the day, machines may learn faster, but only humans can dream bigger. Is your child ready for the careers of tomorrow? Enroll now and take advantage of our early bird offer! Spaces are limited.
India Today
22-06-2025
- India Today
How to use ChatGPT to create Images directly on WhatsApp
How to use ChatGPT to create Images directly on WhatsApp By Divya Bhati You can now generate AI images directly in your WhatsApp chat with ChatGPT. ChatGPT now creates images on WhatsApp Add 1-800-ChatGPT (+1-800-242-8478) to your contacts; this is the verified number by OpenAI. Save the official ChatGPT number Once the number is saved. Open WhatsApp, find the saved number, and send a simple 'Hi' to begin chatting. Start the conversation ChatGPT will ask you to verify your OpenAI account via a secure login—this connects your access to the image tools. Link your OpenAI account Once linked, you can type a prompt like 'a dragon flying over a neon city' and ChatGPT will create it using AI. Image prompt The images are generated through OpenAI's DALL·E model, known for high-quality, creative visuals. Powered by DALL·E You can also ask the chatbot to refine or modify generated images—ask it to add, remove, or tweak parts of the image. Edit Images with prompts No beta invite or special access needed—if you have an OpenAI account, you can use it now on WhatsApp. Available for everyone
Forbes
03-06-2025
- Business
- Forbes
Ads Without Authors: How Automation Dismantles Holding Companies—and Culture
AI-Optimized Advertising, Human Authorship Erased: The Cost of Automation Platforms like Meta, X, Google, and Amazon aren't just automating ads—they're bypassing the agencies that built the industry. In the race to own the feed with automation, friction is fatal. Advertising has long been a canvas for human creativity, reflecting and shaping societal values. From iconic campaigns that captured the spirit of an era to ads that challenged social norms, human-crafted advertising serves as a cultural touchstone. Removing humans from this process doesn't just streamline production—it risks erasing the cultural narratives embedded within these messages. Future generations won't study Midjourney outputs. They'll study the ads we made—because ads, at their best, are the sharpest shorthand for what a society values, fears, and aspires to become. As we delegate creative control to AI, we must ask: what stories are we losing, and what does that mean for our collective cultural memory? Meta's latest ambition to fully automate ad creation by the end of 2026 isn't just a business strategy—it's a warning. The company's vision is deceptively simple: advertisers provide a product image, a budget, and a few goals, and Meta's AI handles the rest—copywriting, visual generation, media placement, and real-time optimization. The entire campaign lifecycle becomes push-button. Meta is reportedly considering integrations with tools like Midjourney and DALL·E to enhance asset creation. The ambition is to make advertising seamless, especially for small and midsize businesses that lack in-house creative teams. However, what begins as simplification quickly becomes centralization, where one platform governs not only distribution but also expression. What's at stake isn't just jobs—it's the future of originality, the pipeline of creative talent, and the power to shape culture. If Meta's model becomes the norm, we risk a creative monoculture, where differentiation dies and everything starts to look alike because the same machine created it. Proponents will argue that this democratizes advertising, thereby leveling the playing field for small businesses. And they're not wrong. But democratization without differentiation still leads to mediocrity. Tools may become accessible. But brands become interchangeable. And Meta is just the start. Spotify is auto-generating background music. Amazon is letting AI write product listings. Google is publishing AI-generated search summaries. Even journalism is being templated by prompts. We're not just automating workflows—we're displacing the origin of voice, taste, and intent. What Meta is proposing is not just an automation layer. It's a creative feedback loop entirely governed by the platform itself. When Meta automates both the creation and the optimization of ads, it doesn't just accelerate the campaign cycle—it collapses the loop. The ad that performs best becomes the blueprint for the next, narrowing the window for originality until all that remains is whatever the algorithm can predict. This is not creativity—it's curation at scale. Let's get something straight. These systems are not creators. They are morph engines—remixers of data, not originators of thought. What they do appears to be creative, but it isn't. It's a simulation. Highly effective, often impressive, but fundamentally derivative. They are powerful tools. But we should never mistake the tool for the purpose. Meta's automation play reveals the larger issue: we're not just automating tasks, we're automating the conditions that make originality possible. When everything is a remix, who's responsible for the remix's meaning? And when every brand runs through the same pipeline, what's left of the difference? Jean Baudrillard, a French sociologist and philosopher known for his work on simulation and hyperreality, once said, 'The sad thing about artificial intelligence is that it lacks artifice and therefore intelligence.' That's precisely the point—AI can fake style, structure, even tone. But it can't fake a purpose. Not yet. And probably not ever. AI doesn't create—it interpolates. And interpolation is not insight. It's the ghost of thinking without the burden of understanding. It's mimicry in drag. Personalization isn't creativity. It's precision. It tells you who to speak to, but not what to say—or why it matters. The performance of intent, minus the spark that gives it life. Across industries, the same logic is taking hold: Everywhere, the promise is the same: faster, cheaper, better. And everywhere, the result is the same: homogenization. The deeper risk isn't job displacement—it's meaning displacement. When creativity is automated, it loses its expressive quality and becomes more efficient. And once it's efficient, it's disposable. Ursula Franklin, a physicist and philosopher best known for her work on the social impact of technology, captured this tension in her definition of prescriptive technology: 'designs for compliance.' She warned that when work is reduced to repeatable steps, we lose not only control but also the creative possibility of deviation. Franklin contrasted this with holistic technologies, which preserve human intuition and craft. Our future depends on protecting the latter. Friction is not failure. Friction is the forge. The moments we remember in business—or life—aren't the ones that ran on rails. They're the ones who nearly broke us. The campaign that almost didn't ship. The pitch that bombed, then landed. The rewrite that found the truth. In our race toward frictionless everything, we're stripping away the very texture that makes things memorable. And Meta's move to automate the entire ad pipeline is just the latest attempt to turn marketing into math—flawless, efficient, lifeless. Friction isn't a flaw in the system. It's the source of learning, innovation, neuroplasticity, and art. Whether in synapses or symphonies, friction is how we stretch. It's how the human mind adapts and creates meaning. Without it, we may get results, but we won't get resonance. In a world saturated with auto-generated content, what becomes scarce isn't information—it's resonance. And resonance can't be manufactured. It has to be felt. The brands that will matter tomorrow won't be the ones that optimized the most impressions. They'll be the ones who found a way to bypass the algorithm and create something tangible. Something experiential. Something no AI could hallucinate into existence. This is where experiential marketing becomes more than a tactic—it becomes resistance. It's not a return to analog. It's a return to meaning. Kurt Vonnegut wrote, 'We are dancing animals. How beautiful it is to get up and go out and do something.' The algorithm may be able to mimic the rhythm, but it will never learn to dance. It can choreograph—but not choose to move. What Meta is doing—what nearly every vertical is racing toward—is based on a seductive lie: that easier is always better. But ease is not a virtue. It's not the metric by which we measure a life, a brand, or a society. We weren't built for ease. We were built for meaning. And meaning requires effort. It requires tension. It requires authorship. To automate that away in the name of scale is not progress. It's surrender. If we must automate, let's automate to amplify, not erase. Tools should provoke better questions, not just faster answers. That means keeping humans in the loop. It means labeling AI-generated creative work. It means building guardrails that force friction back into the process, rather than removing it entirely. Because when ads are created by machines and optimized by machines, who is accountable for their influence? If you're not the author of what shapes your choices, are they your choices? We need more than regulation—we need a red line. Authorship, consent, and sovereignty should not be optional when automation touches identity. This isn't just a creative threat—it's an existential one for holding companies and agencies. The largest tech platforms—Meta, Amazon, Google, X, Microsoft—make billions from advertising. However, as their AI systems become increasingly close to brands and consumers, the need for intermediaries begins to diminish. Why would Meta need an agency when it can generate, target, and optimize ads directly for the brand? Why would a brand rely on a holding company when it can plug into the model that sits at the heart of the user's digital life? As AI-native platforms move closer to both brands and consumers, the traditional agency model finds itself at a crossroads. Holding companies were designed for fragmentation—fragmented channels, insights, creative, and data. But when the platforms now own the whole stack, and the AI becomes the primary interface to the consumer, what's left for intermediaries to manage? Tom Sivo, VP of Emerging Technology at Interpublic, puts it this way: The holding company was built for a time when storytelling, media buying, and consumer insight were fragmented. Today, the platform is the channel, the data, and the distribution. And the AI? It's the last mile. It sits in the user's pocket, anticipates their intent, and steers the interaction before a brief is ever written. In that world, holding companies don't evolve—they vanish. Because the agency becomes a friction in a system that worships fluidity, and whoever is closest to the consumer controls the conversation. Today, that's no longer a strategist, a planner, or a brand team. It's the model. The danger isn't just that AI will replace our jobs. The danger is that we will replace ourselves—inch by inch, prompt by prompt—until we no longer remember what it felt like to make something real. I'm not anti-AI. But I am pro-human. And being human isn't just a biological fact. It's a creative act. One that we perform daily through our decisions, expressions, and struggles. If we let go of that—if we let AI simulate not just our output but our intent—we don't become more efficient. We become spectral. Present, but not alive. So yes, automate the repetitive. Automate the dull. But draw a line. Because if we automate the struggle, we lose the story. And if we lose the story, we lose the point. If you're building with AI, ask yourself this: Am I amplifying human brilliance—or replacing it with synthetic volume? Because once originality is gone, no algorithm can recreate it. The future isn't human or AI. It's human with AI—if we build it that way. But only if we remember that tools are only tools. Meaning is still up to us. Because the point isn't productivity. Its meaning. To create is to leave a trace. If AI erases the struggle, what's left behind isn't art. It's output. And through automation, if every ad is machine-generated and every engagement is machine-measured, we're not choosing; we're being programmed.
The Hindu
02-06-2025
- The Hindu
The Invisible Hand of AI -- How Generative Models Shape Our Daily Decisions
You might not realize it but there is a good chance you used generative AI today without even knowing it. No you didn't have to open ChatGPT or ask DALL·E to make a picture of a cat flying through space. AI is now part of everyday life and it is doing small things all around you. It might have helped you shop online by recommending a product or suggested words while you were writing an email or even helped you finish a boring presentation slide. It could have even pitched in while you were planning dinner by offering recipe ideas. That is how AI works in 2025 and it is not just for computer experts or science fiction fans anymore. It has quietly become a behind-the-scenes helper doing useful things while staying out of the spotlight. It is like a smart assistant that never complains, never sleeps and always shows up on time even if it still gets a few things hilariously wrong now and then. From Fantasy to Functionality - A Silent Revolution Not too long ago the term 'Generative AI' felt like something straight out of Star Trek definitely more suited to fantasy than functionality. But fast forward to today and it is quietly working behind the scenes in the apps you use every day. Gmail helps you draft emails that make you sound smarter or at least more polite, PowerPoint magically turns your bullet points into full presentations with matching images or charts and Microsoft Word fixes your awkward sentences like a grammar wizard with a PhD. Even Siri and Alexa have stepped up their game, they no longer just follow commands they actually get what you mean and respond like they have been reading your mind or your texts. The best part is it all works silently in the background. No blinking lights, no dramatic announcements just a smooth subtle upgrade to your digital life that makes you wonder how you ever managed without it. Shopping Gets Personal - Really Personal Say goodbye to the old days of mindlessly scrolling through endless pages of clothes trying to guess what might actually look good on you. Thanks to generative AI, shopping online has become way smarter and a lot more fun. Now you can try on outfits virtually with AI placing those jeans or that jacket right on your photo or a 3D version of you so you can see if it is a hit or a horrible idea before you even click 'add to cart'. It also remembers your style better than your favourite store clerk after just a few clicks it starts showing you things you actually like. When it comes to sales AI does not just wait for discounts it watches trends, compares past prices and gives you a gentle push when the timing and price are just right. Basically retail therapy now comes with a personal shopper that never sleeps, never judges and knows your taste better than you do. Creativity Turbocharged Generative AI is not here to replace human creativity; it is here to give it a serious upgrade like creativity with a turbo boost. Whether you are a designer, musician or writer AI tools have become the ultimate sidekick. On platforms like Canva and Adobe you can now get full design ideas suggested images and even catchy captions for your social media posts all with a few clicks. Musicians are using AI to come up with new melodies mix in harmonies or experiment with loops they might never have thought of. Writers meanwhile are letting AI help brainstorm, plot twists, fix awkward sentences or improve the flow of their work without ever reaching for a red pen. It is like having the dream intern one who is always available, never tired, never complaints and definitely never messes up your coffee order. Education Reimagined Learning is changing a lot because of AI and it is making things easier and more fun. Apps like Khan Academy and Duolingo now have smart AI tutors that help you learn in a way that suits you best. They give you feedback that fits your learning style, change the difficulty of questions based on how well you are doing and even let you practice real conversations like speaking French at a pretend café in Paris. Even when you are stuck with homework, the AI does not just give you the answer, it explains how and why the answer is correct so you actually understand it. It is like having your own friendly tutor who never gets tired and is always ready to help. Is There a Catch? Of course this amazing world of AI is not perfect, it comes with a few warnings. First, data privacy is still a big issue. Everything you type or say can be used to train the AI, so your information is not always as private as you think. Second, if we start relying too much on AI we might stop thinking for ourselves which can hurt our creativity and problem-solving skills. Third, AI does not always get things right. Sometimes it shows bias or makes things up what experts call 'hallucinations'. Like any tool, AI is helpful when used wisely. The key is to use it with care, stay aware of its limits and always keep a bit of healthy doubt in your pocket. What's Next? What's coming next? AI agents that don't just help out, they take charge. Imagine an AI that books your flights, organizes your calendar and even handles that annoying WhatsApp group chat with the perfect mix of humour and politeness. Imagine this: you say, 'Plan my next vacation with a ₹50,000 budget, fewer crowds and delicious vegetarian food' and within minutes, it puts together a complete trip plan just for you. Sounds like science fiction, right? Well, it is not 2050 - it's 2026, arriving at your doorstep sooner than you think. Final Thought Generative AI is not a far-off dream anymore; it is already woven into your daily routine. It helps you jot down notes, organize your never-ending emails and even picks out what you should wear or eat, all without making a big deal about it. It does not show off or demand attention instead it quietly works behind the scenes to make you quicker, smarter and hopefully a little less stressed. If you are in a romantic mood and ask nicely, it might just help you craft that perfect love letter you have been meaning to write. 'This article is part of the sponsored content programme.'
