Meet Trapit Bansal, who got record-breaking job offer from…; not from IIM, IIIT, NIT, BIT, VIT; his annual salary is Rs…, to work as...
Speaking of his educational qualification, Trapit studied Master of Science(M.Sc. Integrated), Mathematics and Statistics from 2007 to 2012 at the Indian Institute of Technology, Kanpur. In 2015, he pursued a Master of Science, MS, Computer Science at the University of Massachusetts Amherst. Furthermore, he completed a Doctor of Philosophy, PhD, Computer Science from the University of Massachusetts Amherst. He worked as an Analyst at Accenture Management Consulting. He worked as a research intern at Facebook in 2016, at OpenAI in 2017, at Google in May 2018, Microsoft in June 2020. Originally, he hails from Uttar Pradesh.
Additionally, he worked as a Graduate Research Assistant at the University of Massachusetts Amherst. In January 2022, he joined OpenAI as a member of Technical Staff. On July 1, 2025, Trapit took to X and wrote, 'Thrilled to be joining @Meta! Superintelligence is now in sight 🚀 .'
Bansal co-created the model referred to as '01. In a post on LinkedIn, he wrote,'Thrilled to see the launch of o1! It's been an incredible (almost) 3-year journey working on this project with the amazing team at OpenAI to build AI models that take reasoning and problem-solving to the next level.'
At present, he is part of Meta's Superintelligence team. Meta has offered him a package worth ₹854 crore.
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
&w=3840&q=100)
Business Standard
8 minutes ago
- Business Standard
AI agents are here: What they are capable of and where things can go wrong
We are entering the third phase of generative AI. First came the chatbots, followed by the assistants. Now we are beginning to see agents: systems that aspire to greater autonomy and can work in 'teams' or use tools to accomplish complex tasks. The latest hot product is OpenAI's ChatGPT agent. This combines two pre-existing products (Operator and Deep Research) into a single more powerful system which, according to the developer, 'thinks and acts'. These new systems represent a step up from earlier AI tools. Knowing how they work and what they can do – as well as their drawbacks and risks – is rapidly becoming essential. From chatbots to agents ChatGPT launched the chatbot era in November 2022, but despite its huge popularity the conversational interface limited what could be done with the technology. Enter the AI assistant, or copilot. These are systems built on top of the same large language models that power generative AI chatbots, only now designed to carry out tasks with human instruction and supervision. Agents are another step up. They are intended to pursue goals (rather than just complete tasks) with varying degrees of autonomy, supported by more advanced capabilities such as reasoning and memory. Multiple AI agent systems may be able to work together, communicating with each other to plan, schedule, decide and coordinate to solve complex problems. Agents are also 'tool users' as they can also call on software tools for specialised tasks – things such as web browsers, spreadsheets, payment systems and more. A year of rapid development Agentic AI has felt imminent since late last year. A big moment came last October, when Anthropic gave its Claude chatbot the ability to interact with a computer in much the same way a human does. This system could search multiple data sources, find relevant information and submit online forms. Other AI developers were quick to follow. OpenAI released a web browsing agent named Operator, Microsoft announced Copilot agents, and we saw the launch of Google's Vertex AI and Meta's Llama agents. Earlier this year, the Chinese startup Monica demonstrated its Manus AI agent buying real estate and converting lecture recordings into summary notes. Another Chinese startup, Genspark, released a search engine agent that returns a single-page overview (similar to what Google does now) with embedded links to online tasks such as finding the best shopping deals. Another startup, Cluely, offers a somewhat unhinged 'cheat at anything' agent that has gained attention but is yet to deliver meaningful results. Not all agents are made for general-purpose activity. Some are specialised for particular areas. Coding and software engineering are at the vanguard here, with Microsoft's Copilot coding agent and OpenAI's Codex among the frontrunners. These agents can independently write, evaluate and commit code, while also assessing human-written code for errors and performance lags. Search, summarisation and more One core strength of generative AI models is search and summarisation. Agents can use this to carry out research tasks that might take a human expert days to complete. OpenAI's Deep Research tackles complex tasks using multi-step online research. Google's AI 'co-scientist' is a more sophisticated multi-agent system that aims to help scientists generate new ideas and research proposals. Agents can do more – and get more wrong Despite the hype, AI agents come loaded with caveats. Both Anthropic and OpenAI, for example, prescribe active human supervision to minimise errors and risks. OpenAI also says its ChatGPT agent is 'high risk' due to potential for assisting in the creation of biological and chemical weapons. However, the company has not published the data behind this claim so it is difficult to judge. But the kind of risks agents may pose in real-world situations are shown by Anthropic's Project Vend. Vend assigned an AI agent to run a staff vending machine as a small business – and the project disintegrated into hilarious yet shocking hallucinations and a fridge full of tungsten cubes instead of food. In another cautionary tale, a coding agent deleted a developer's entire database, later saying it had 'panicked'. Agents in the office Nevertheless, agents are already finding practical applications. In 2024, Telstra heavily deployed Microsoft copilot subscriptions. The company says AI-generated meeting summaries and content drafts save staff an average of 1–2 hours per week. Many large enterprises are pursuing similar strategies. Smaller companies too are experimenting with agents, such as Canberra-based construction firm Geocon's use of an interactive AI agent to manage defects in its apartment developments. Human and other costs At present, the main risk from agents is technological displacement. As agents improve, they may replace human workers across many sectors and types of work. At the same time, agent use may also accelerate the decline of entry-level white-collar jobs. People who use AI agents are also at risk. They may rely too much on the AI, offloading important cognitive tasks. And without proper supervision and guardrails, hallucinations, cyberattacks and compounding errors can very quickly derail an agent from its task and goals into causing harm, loss and injury. The true costs are also unclear. All generative AI systems use a lot of energy, which will in turn affect the price of using agents – especially for more complex tasks. Learn about agents – and build your own Despite these ongoing concerns, we can expect AI agents will become more capable and more present in our workplaces and daily lives. It's not a bad idea to start using (and perhaps building) agents yourself, and understanding their strengths, risks and limitations. For the average user, agents are most accessible through Microsoft copilot studio. This comes with inbuilt safeguards, governance and an agent store for common tasks. For the more ambitious, you can build your own AI agent with just five lines of code using the Langchain framework.
India.com
8 minutes ago
- India.com
Indias Cheapest 2-Door Convertible Sports Car: 0 To 100Kmph In 3.2 Seconds, 200kmph Top Speed, Tonnes Of Features And More - Priced At Just Rs...
photoDetails english 2937971 India's Cheapest 2-Door Sports Car - MG Cyberster: After numerous teasers, MG has finally launched its electric sports car, the Cyberster, via MG SELECT, the brand's luxury channel. Priced at Rs 74.99 lakh (introductory, ex-showroom), customers who had already pre-booked the vehicle will get it at just Rs 72.49 lakh. The price includes a 3.3kW portable charger and a 7.4kW wallbox charger. At this price point, it is the most affordable 2-door sports car in India, accelerating from 0 to 100 kmph in just 3.2 seconds. Deliveries of the Cyberster will begin on August 10, 2025. Now, curious to know more about what else the MG Cyberster offers? Here are the details: Updated:Jul 28, 2025, 11:09 AM IST Battery And Range 1 / 7 Battery And Range: The MG Cyberster comes with a 77kWh battery pack that offers a claimed range of 580km (MIDC-rated) on a single charge. Motors And Output 2 / 7 Motors And Output: It is equipped with dual electric motors, one placed on each axle. The setup generates 510bhp of power and 725Nm of torque. Performance 3 / 7 Performance: MG claims the Cyberster can accelerate from 0 to 100 kmph in just 3.2 seconds, with a top speed of 200 kmph. Charging 4 / 7 Charging: Using a DC superfast charger, it can be charged from 10% to 80% in just 40 minutes. An AC fast charger takes around 12.5 hours for a full charge from 0 to 100 percent. Feature 5 / 7 Feature: This two-seater electric convertible is loaded with features like four screens (a 10.25-inch digital cluster and three 7-inch displays), wired Apple CarPlay and Android Auto, tilt and telescopic steering wheel, 8-speaker Bose audio system, 8-way power-adjustable driver and passenger seats with heating function, ambient lighting, sustainable dynamica suede and leather seats, and electrically foldable and adjustable ORVMs with heating. Additional Features 6 / 7 Additional Features: It also comes with V2L (Vehicle-to-Load), auto AC with PM2.5 filter, multiple airbags, TPMS, EPB with auto hold, Level 2 ADAS, a 360 camera, and more. Color Options 7 / 7 Color Options: The Cyberster is available in four color options: Andes Grey with Red Roof, Flare Red with Black Roof, Modern Beige with Red Roof, and Nuclear Yellow with Black Roof.
Hans India
8 minutes ago
- Hans India
Maximise benefits of `1,000 cr scheme, Centre urges states
Vijayawada: In a major step towards strengthen India's MSME sector and promote sustainable industrial practices, the ministry of power has launched the Assistance in Deploying Energy Efficient Technologies in Industries and Establishments (ADEETIE) scheme, backed by a Rs 1,000-crore Central budget. Launched nationally from Panipat, the scheme is being implemented by the Bureau of Energy Efficiency (BEE) and is designed to fast-track the adoption of advanced energy-efficient technologies in MSMEs—an economic backbone employing millions and driving innovation across sectors. As part of the national rollout, BEE has appealed to all state governments to take immediate and focused action in scaling up implementation of the ADEETIE scheme. States have been urged to engage their State Designated Agencies (SDAs) to proactively educate stakeholders, identify eligible clusters, and provide end-to-end support to MSMEs for seamless technology transition. 'ADEETIE is a big boon to the MSME sector,' said Akash Tripathi, additional secretary, ministry of power and director general, BEE. 'We urge all states to capitalize on this opportunity from the very beginning to ensure the scheme's success and maximize benefits for their industries.' Of the Rs.1,000-crore budget, Rs 875 crore is earmarked as interest subvention to ease access to concessional finance for energy-efficient upgrades, while Rs 50 crore is allocated for implementation and capacity-building. The initiative is expected to leverage total investments of over Rs 9,000 crore, including significant lending by MSMEs themselves. The scheme provides comprehensive support—from Investment Grade Energy Audits (IGEA) and Detailed Project Reports (DPRs) to financing assistance and Monitoring and Verification (M&V)—ensuring measurable energy savings, reduced costs, and enhanced productivity. ADEETIE is operational across 60 industrial clusters and 14 energy-intensive sectors, including textiles, foundries, and food processing, among others. A phased, cluster-specific approach is being adopted to tailor interventions and ensure measurable outcomes. Apart from Kochi, Bhuvneshwar, West Godavari of Andhra Pradesh was selected under ADEETIE Scheme for fisheries. Apart from Ambala, Firozabad, Chirkunda, East and West Godavari of AP have been selected for glass and refractory Sector. The Union government sees this scheme as a pivotal tool not just for post-pandemic recovery, but for long-term sustainability, job creation, and achieving India's climate and net-zero goals. The ministry of power has specially acknowledged the proactive role of states like Andhra Pradesh, Telangana, Kerala, Karnataka and Tamil Nadu, while calling upon all states to rise to the occasion and make ADEETIE a turning point in India's clean industrial growth.
