OpenAI wants ChatGPT to be a personalised super assistant by mid-2025, reveals leaked internal document
OpenAI seems to be having some grand visions for ChatGPT essentially making it an everyday essential for users. This is all part of a larger strategy that has been detailed in a recently leaked internal document. The document, which is a confidential roadmap related to the antitrust case between Google and the US Department of Justice in 2025, suggests that the AI startup aims to build ChatGPT as an 'intuitive AI super assistant' that can manage tasks and take actions on behalf of the user. In simple words, OpenAI plans to make ChatGPT an ubiquitous super assistant that can move seamlessly between channels, acting as a personalised gateway to the internet.
The leaked document envisions ChatGPT, powered by the o3 model, becoming a full-spectrum operator, meaning it manages calendars, does travel booking, navigates software, and even contacts professionals on the user's behalf. The Sam Altman-led AI startup has reportedly described its plan as an intelligent entity with T-shaped skills.
'It's an entity because it's personalised to you and available anywhere you go – including chatgpt.com, our native apps, phones, email, or third-party surfaces like Siri. It's T-shaped because it has broad skills for daily tasks that are tedious and deep expertise for tasks that most people find impossible (starting with coding). The broad part is all about making life easier: answering a question, finding a home, contacting a lawyer, joining a gym, planning vacations, buying gifts, managing calendars, keeping track of to-dos, and sending emails,' an excerpt from the document.
When it comes to the technical side, OpenAI is relying on next-generation models like o3, which, according to the document, are finally smart enough to reliably perform agentic tasks. Moreover, it has plans to deploy tools like Computer Use which will expand ChatGPT's ability to take direct actions.
Another key part of the strategy seems to be the development of a dedicated search index. 'To fully be that interface, we need a search index and the ability to take actions on the web.' OpenAI may roll out this feature in the second half of 2025; however, there are not many details.
OpenAI seems to be treading carefully, as it does not want ChatGPT to be seen as a product such as a search engine, operating system or even a browser. Based on the document, the company aims to establish a new category of personal AI agent that guides users through their digital needs. The company wants ChatGPT to be the main entry point for daily digital life.
'Now we're up against search engines, browsers, even interactions with real people. This one isn't a head-on match. It's about solving more and more use cases and gradually pulling users in. That's why we don't call our product a search engine, a browser, or an OS – it's just ChatGPT,' read the document.
In the document, the company also breaks down its competition into two groups. In the short term, its rivals include other popular chatbots such as Claude, Gemini, or Copilot. However, in the broader sense, it considers traditional search engines, browsers, and even interactions with real people as its competitors.
The company also describes one of its competitors, which is redacted from the document, as especially threatening, as it can embed its own AI systems into products without worrying about business model manipulation. Reportedly, this is a reference to Elon Musk's Grok, which is integrated into X and other platforms. On the other hand, OpenAI has also listed several strategic advantages it has over its peers. The company believes it has got everything it needs to win, such as one of the fastest-growing products of all time, a category-defining brand, a research lead, a compute lead, a world-class research team, and an increasing number of effective people with agency who are motivated.
'We don't rely on ads, giving us flexibility on what to build. Our culture values speed, bold moves, and self-disruption. Maintaining these advantages is hard work, but, if we do, they will last for a while.'
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
United News of India
24 minutes ago
- United News of India
US Senate narrowly advances Trumps' controversial One Big Beautiful Bill Act in a 51-49 turnout
Washington, June 29 (UNI) In a nail-biting vote, the Republican-led U.S. Senate has pushed forward President Donald Trump's huge 'One Big Beautiful Bill Act' - a key move towards getting it passed before the upcoming July 4 break. The mammoth 940-page bill scraped through a procedural vote late on Saturday night, 51-49. Two Republicans surprisingly sided with Democrats in opposing the measure, highlighting its divisive nature, reports New York Post. The vote now allows formal debate to kick off on the legislation. The bill aims to make Trump's 2017 tax cuts permanent, boost spending on defence and border security, and cut money for certain welfare programmes. President Trump hailed the outcome on Truth Social, calling it a "GREAT VICTORY." Trump has lobbied for House and Senate Republicans to fast-track the legislation so it lands on his desk by his self-imposed July 4 deadline. The measure would make Trump's 2017 tax cuts permanent, end taxation on tips and overtime, boost border security funding and scrap green-energy tax credits passed during the Biden administration. However, Democratic Senate leader Chuck Schumer criticised Republicans for rushing the process, demanding the entire bill be read aloud on the Senate floor to ensure proper scrutiny. After the bill is read, lawmakers will have up to 20 hours to debate its contents before a final vote. The House of Representatives already narrowly approved a version of this bill in May. If the Senate passes it, the bill will return to the House for final approval before landing on the President's desk for signing into law. This bill is a cornerstone of Trump's economic agenda, aiming to cement his tax cuts while boosting defence and border spending, often at the expense of social programmes. Its passage would significantly reshape US fiscal policy. UNI ANV SSP
Time of India
40 minutes ago
- Time of India
From foreign universities to global impact: 10 Indians who studied abroad and made it big
Many Indians have pursued higher education abroad, using global exposure to shape extraordinary careers. From pioneering entrepreneurs to influential policymakers and trailblazing artists, these individuals prove that studying overseas can be a launchpad to global impact—without ever forgetting their Indian roots. Here's a look at ten inspiring Indians who studied abroad and went on to leave their mark on the world. 1. Sundar Pichai Studied at: Stanford University (MS in Material Science), Wharton School (MBA) Sundar Pichai grew up in Chennai and later earned his engineering degree from IIT Kharagpur. A scholarship to Stanford changed his life. After completing his master's, he rose through the ranks at Google , eventually becoming CEO of Alphabet Inc., Google's parent company. Pichai's journey is a testament to vision, persistence, and global education. 2. Indra Nooyi Studied at: Yale School of Management (MBA) Hailing from Chennai, Indra Nooyi's educational journey took her from IIM Calcutta to Yale. She joined PepsiCo and transformed the company with her forward-thinking leadership. As one of the first Indian women to lead a Fortune 500 company, she is a global symbol of resilience and strategic brilliance. 3. Raghuram Rajan Studied at: MIT Sloan School of Management (PhD in Economics) An IIT-Delhi and IIM-Ahmedabad alumnus, Rajan earned a PhD from MIT and became a respected economist. He served as the 23rd Governor of the Reserve Bank of India and also as Chief Economist at the International Monetary Fund (IMF). His academic insights and global exposure shaped India's economic policy during crucial years. 4. Dr. Gita Gopinath Studied at:University of Washington (MA), Princeton University (PhD in Economics) Raised in Mysuru, Dr. Gita Gopinath went on to become one of the most influential voices in global finance. After completing her PhD from Princeton, she rose through the academic ranks at Harvard before becoming the Chief Economist of the International Monetary Fund (IMF)—the first woman to hold the post. She is now First Deputy Managing Director at the IMF, playing a crucial role in steering global economic policy through crises like the COVID-19 pandemic. With her mix of deep intellect and global perspective, Gopinath is not just making history—she's shaping the future. 5. Kiran Desai Studied at: Bennington College, Hollins University, and Columbia University Born in India, Kiran Desai moved to the US for higher studies and emerged as a powerful literary voice. Her novel The Inheritance of Loss won the Man Booker Prize in 2006, making her one of the youngest female recipients. Her works explore themes of identity, migration, and globalization. 6. Satya Nadella Studied at: University of Wisconsin-Milwaukee (MS in Computer Science), University of Chicago (MBA) Raised in Hyderabad, Nadella pursued computer science in the US before joining Microsoft. In 2014, he became the company's CEO, credited with transforming Microsoft's culture and business strategy. His leadership blends technical prowess with empathy and inclusivity. 7. Amartya Sen Studied at: Trinity College, Cambridge (BA, PhD) A Nobel Laureate in Economics, Sen's groundbreaking work on welfare economics, poverty, and human development has influenced policy globally. Educated at Cambridge, he brought intellectual clarity to complex issues and helped shape the Human Development Index used by the UN. 8. Kalpana Chawla Studied at: University of Texas at Arlington (MS), University of Colorado Boulder (PhD) Born in Haryana, Kalpana Chawla became the first Indian-born woman in space. Her education in aerospace engineering in the US propelled her to NASA, where she became an astronaut. Her tragic death in the Columbia space shuttle disaster in 2003 only cemented her legacy as a fearless pioneer. 9. Pranav Mistry Studied at: MIT Media Lab (PhD) Known for developing the revolutionary 'SixthSense' technology, Pranav Mistry studied computer science and design in India before heading to MIT. His work blends artificial intelligence, wearables, and futuristic user interfaces, putting him on the global tech innovation map. 10. Mira Nair Studied at: Harvard University An acclaimed filmmaker, Mira Nair moved to the US to study sociology at Harvard but soon pivoted to filmmaking. Her works like Salaam Bombay! and Monsoon Wedding blend Indian stories with international aesthetics. She's known for her strong, multicultural narratives and advocacy for independent cinema. These individuals represent the power of cross-cultural learning and the global impact Indians can have when they embrace education abroad. Their journeys inspire millions—proof that excellence knows no boundaries. Is your child ready for the careers of tomorrow? Enroll now and take advantage of our early bird offer! Spaces are limited.
Mint
an hour ago
- Mint
Productivity puzzle: Solow's paradox has come to haunt AI adoption
AI enthusiasts, beware: predictions that the technology will suddenly boost productivity eerily echo those that had followed the introduction of computers to the workplace. Back then, we were told that the miraculous new machines would automate vast swathes of white-collar work, leading to a lean, digital-driven economy. Fast forward 60 years, and it's more of the same. Shortly after the debut of ChatGPT in 2022, researchers at the Massachusetts Institute of Technology claimed employees would be 40% more productive than their AI-less counterparts. These claims may prove to be no more durable than the pollyannish predictions of the Mad Men era. A rigorous study published by the National Bureau of Economic Research in May found only a 3% boost in time saved, while other studies have shown that reliance on AI for high-level cognitive work leads to less motivated, impaired employees. We are witnessing the makings of another 'productivity paradox,' the term coined to describe how productivity unexpectedly stagnated and, in some cases, declined during the first four decades of the information age. The bright side is that the lessons learned then might help us navigate our expectations in the present day. The invention of transistors, integrated circuits, memory chips and microprocessors fuelled exponential improvements in information technology from the 1960s onward, with computers reliably doubling in power roughly every two years with almost no increase in cost. It quickly became an article of faith that computers would lead to widespread automation (and structural unemployment). A single person armed with the device could handle work that previously required hundreds of employees. Over the next three decades, the service sector decisively embraced computers. Yet, the promised gains did not materialize. In fact, studies from the late 1980s revealed that the services sector—what economist Stephen Roach described as 'the most heavily endowed with high-tech capital"—registered the worst productivity performance during this same period. In response, economist Robert Solow had famously quipped that 'we see computers everywhere except in the productivity statistics." Economists advanced multiple explanations for this puzzle (also known as 'Solow's Paradox'). Least satisfying, perhaps, was the claim, still made today, that the whole thing was a mirage of mismeasurement and that the effects of massive automation somehow failed to show up in the economic data. Others have argued that the failure of infotech investments to live up to the hype can be laid at the feet of managers. There's some merit to this argument: studies of infotech adoption have shown that bosses spent indiscriminately on new equipment, all while hiring expensive workers charged with maintaining and constantly upgrading these systems. Computers, far from cutting the workforce, bloated it. More compelling still was the 'time lag' hypothesis offered by economist Paul A. David. New technological regimes, he contended, generate intense conflict, regulatory battles and struggles for market share. Along the way, older ways of doing things persist alongside the new, even as much of the world is remade to accommodate the new technology. None of this translates into immediate efficiency—in fact, quite the opposite. As evidence, he cited the advent of electricity, a quicker source of manufacturing power than the steam it would eventually replace. Nonetheless, it took 40 years for the adoption of electricity to lead to increased worker efficiency. Along the way, struggles to establish industry standards, waves of consolidation, regulatory battles and the need to redesign every single factory floor made this a messy, costly and prolonged process. The computer boom would prove to be similar. These complaints did not disappear, but by the late 1990s, the American economy finally showed a belated uptick in productivity. Some economists credited it to the widespread adoption of information technology. Better late than never, as they say. However, efficiency soon declined once again, despite (or because of) the advent of the internet and all the other innovations of that era. AI is no different. The new technology will have unintended consequences, many of which will offset or even entirely undermine its efficiency. That doesn't mean AI is useless or that corporations won't embrace it with enthusiasm. Anyone expecting an overnight increase in productivity, though, will be disappointed. ©Bloomberg The author is professor of history at the University of Georgia and co-author of 'Crisis Economics: A Crash Course in the Future of Finance'.
