Adani Faces DOJ Probe Over Iranian LPG Shipments, WSJ Says
US prosecutors are probing billionaire Gautam Adani's conglomerate for importing liquefied petroleum gas from Iran through the Mundra port in India, violating sanctions, according to a report by the Wall Street Journal.
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Entrepreneur
27 minutes ago
- Entrepreneur
This Week in AI & Cybersecurity: Key Global Moves and Breakthroughs
From high-stakes talent wars among Big Tech to India's push for indigenous cybersecurity innovation, this week saw significant developments in artificial intelligence and digital defence You're reading Entrepreneur India, an international franchise of Entrepreneur Media. From high-stakes talent wars among Big Tech to India's push for indigenous cybersecurity innovation, this week saw significant developments in artificial intelligence and digital defence. Here are five major updates in AI and cybersecurity. Meta Continues Talent Poaching Spree from Apple to Build AGI Meta has made two more senior-level hires from Apple's AI team for its newly launched Superintelligence Labs division. Mark Lee has already joined, while Tom Gunter is expected to follow. Both worked under Ruoming Pang, Apple's former head of Foundation Models, who recently accepted a multi-million-dollar compensation package from Meta. This intensifies the rivalry among AI giants, as Meta aggressively builds toward Artificial General Intelligence (AGI), having already brought on board researchers from OpenAI, Anthropic, and Google. Perplexity AI Hits USD 18 Billion Valuation Amid Funding Surge Generative AI search startup Perplexity AI has secured an additional USD 100 million in funding, bringing its valuation back to USD 18 billion. This is an extension of an earlier round that valued the company at USD 14 billion. Founded in 2022, Perplexity has experienced rapid valuation jumps, underlining continued investor interest in core internet services reimagined through AI, particularly in competition with traditional search engines like Google. DeepMind Unveils Gemini Robotics On-Device Model for Real-World AI Tasks Google DeepMind announced the release of Gemini Robotics On-Device, a foundation model for vision-language-action (VLA) tasks that operates directly on robotic hardware with low latency. Trained using Aloha robots, the model adapts to tasks such as food preparation or playing cards with as few as 50–100 demonstrations. This on-device model achieved over 60 per cent task success rates, marking a notable step toward deploying multimodal AI in real-world physical environments. IIT Kanpur's C3iHub Launches Cohort VII to Incubate Cybersecurity Startups The C3iHub at IIT Kanpur has opened applications for its seventh startup incubation cohort, offering funding support of up to INR 30 lakh (approximately USD 35,900) per startup over two years. The initiative targets Indian startups tackling challenges such as mobile forensics, LLM security, and supply chain risks. Following its recent upgrade to a Technology Translational Research Park, C3iHub continues to strengthen India's cybersecurity capabilities through innovation and academic-industry collaboration. Commenting on this, Prof. Manindra Agrawal, Director, IIT Kanpur said, "At IIT Kanpur, we are committed to advancing India's cybersecurity landscape through cutting-edge research, deep-tech innovation, and impactful entrepreneurship. C3iHub's seventh startup cohort reflects this vision by nurturing ventures working at the forefront of cybersecurity. Recently upgraded as Technology Translational Research Park, C3i hub has been delivering solutions that address emerging national and global challenges, while also contributing to India's self-reliance." Google's AI Agent 'Big Sleep' Stops Cyber Exploit Before Deployment Google CEO Sundar Pichai announced that the company's AI agent Big Sleep proactively detected and neutralised a cyber exploit before it could be executed. Though details remain sparse, this marks a shift in cyber defence from reactive to pre-emptive AI action, potentially paving the way for widespread adoption of AI agents in enterprise and national security systems. "New from our security teams: Our AI agent Big Sleep helped us detect and foil an imminent exploit. We believe this is a first for an AI agent — definitely not the last — giving cybersecurity defenders new tools to stop threats before they're widespread," Pichai posted on X (formerly Twitter).
Yahoo
an hour ago
- Yahoo
Mark Cuban and Jeff Bezos Agree on One Money Move for 2025 — Here's Why
Mark Cuban and Jeff Bezos both became billionaires by capitalizing on attractive business opportunities and making smart money moves to preserve their wealth. Both billionaires made their fortunes during the dotcom boom. Cuban sold for $5.7 billion to Yahoo! in 1999 while Bezos founded Amazon. Discover More: Find Out: Both of them have periodically shared financial strategies people can use to build wealth and achieve their long-term goals. While the two billionaires don't agree about everything, there is one money move that they both recommend. Take Risks Mark Cuban and Jeff Bezos both recommend that people take some risks. Cuban recommends taking a little bit of risk, while Bezos suggests taking big risks. It's normal to take risks if you want to get ahead. Most people don't want to take big risks because they can end up losing money if things go wrong. If you want to be better than average, you must do things that the average person isn't willing to do. That includes taking risks. Read Next: Cuban doesn't seem to be as risky as Bezos. Cuban has a large cash position, while Bezos regularly plowed Amazon's profits right back into the business for many years. You can start with small risks like Cuban suggests, but you can take big risks like Bezos recommends as you get more comfortable. It's important to note that neither billionaire made foolish risks. They didn't build wealth through slot machines and sports betting. They took calculated risks that involved plenty of research and a belief in themselves. Cuban and Bezos both took many business risks where they were in the driver's seat. They also made investments in other companies after conducting due diligence instead of buying stocks on a whim. The Types of Risks You Can Take Both billionaires regularly put their money to work in the stock market and private investments. You risk losing money with these investments, but these same assets can multiply in value in the long run. It's less risky to keep all of your money in a savings account, but you are guaranteed to lose purchasing power over time due to inflation. Investments in assets aren't the only way to take risks. Cuban and Bezos also launched several startups and expanded into new industries, leading to additional risks. It's risky to put a good amount of money into a small business that may not make it. However, these risks can result in positive cash flow and give you more freedom if your business or side hustle earns enough to replace your salary. Bezos also mentioned that you can take risks outside of business. Risks like approaching a potential girlfriend or boyfriend, pursuing a dream and stand-up comedy are risks that aren't always connected to your career. Taking calculated risks in other areas of your life can help you feel more comfortable with taking risks when warranted. Know Your Long-Term Goal It's important to avoid taking risks just for the sake of taking risks. Keeping a target in mind, such as a net worth goal that opens the door to retirement or the ability to travel more frequently, allows you to take calculated risks without overextending yourself. If you calculate risks and aren't afraid to take them, you'll also be less prone to reckless risks like gambling and speculative investments. Knowing your goals can keep your risk tolerance in check while giving you the flexibility to pursue attractive opportunities. More From GOBankingRates How Much Money Is Needed To Be Considered Middle Class in Your State? This article originally appeared on Mark Cuban and Jeff Bezos Agree on One Money Move for 2025 — Here's Why Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Forbes
an hour ago
- Forbes
Reflexive AI: Adapt or Become Obsolete
Every Company Is Now a Tech Company. Every Employee Too For decades, people claimed every company was becoming a technology company. For the most part, that wasn't true, especially for employees. Now it is. Technology is at the core of every business, and artificial intelligence is the tipping point. The implications are massive. From the CEO to the first-year intern, everyone is on the front lines of change. The expectations are no longer abstract. You need to understand your business or function, and you need to understand AI. If you don't, you won't just fall behind. You'll be replaced. This isn't an Isaac Asimov science fiction novel. It's 2025. And the urgency is real. What was once theoretical is now a professional survival skill. Just as past generations had to learn Excel, today's workforce must learn to work with AI. It must become a reflexive in every part of one's work. Shopify founder Tobi Lütke calls it 'Context Engineering.' Others call it Prompt Engineering. Either way, it requires a new mindset. We must shift from operating on autopilot to deliberately starting everything we do with AI. This shift is not optional. Employees who don't adapt are not just slower. They are at serious risk of becoming unemployable. This transition is harder because it isn't like mobile adoption, which quietly integrated itself into our lives. This is more like learning a professional skill from scratch. Excel wasn't imposed on you. You had to decide to learn it. The same applies here. And the consequences of staying on the sidelines now are far more severe. Those who do not actively adopt AI risk losing their place in the workforce FRANCISCO, CALIFORNIA - NOVEMBER 06: Microsoft CEO Satya Nadella (R) speaks as OpenAI CEO Sam ... More Altman (L) looks on during the OpenAI DevDay event on November 06, 2023 in San Francisco, California. Altman delivered the keynote address at the first ever Open AI DevDay conference. (Photo by)It's Not a Tool. It's the Default Much of the writing on AI focuses on industry transformation. Law, medicine, consulting, finance, all gaining speed and efficiency as AI processes and synthesizes massive data sets. What gets less attention is what this means for every employee. The transformation is not limited to professions. It will reshape every desk job in every office, everywhere. This is not about playing with ChatGPT or Claude on your phone in your downtime. AI is not an app. It must become the foundation of how you think, plan, and produce. Your workflow needs to begin with it, not end with it. It should be the instinctive first move, like checking your email or opening a spreadsheet used to be. If you want to accelerate your career, this is the opportunity. Immersing yourself in AI tools will not just increase your productivity. It will set you apart. People who work with AI are not just faster. They are more capable, more agile, and more valuable. Employees who adopt it early will leapfrog their peers. Some will leapfrog their bosses. Those who delay, ignore, or minimize it will lose ground quickly. AI isn't a trend. It is now the foundation of competitive advantage, both personally and Will Reshape Companies at Every Level AI is going to change the structure and speed of organizations. Fewer people will be needed to do the same volume of work. Teams will shrink. Layers will disappear. Companies will become flatter and faster. The result will not be incremental. It will be a redefinition of how work gets done. In the most forward-leaning organizations, this shift is already happening. AI agents are doing the research, analysis, and synthesis in real time. Human teams now bring judgment, leadership, and strategic thinking to the results. The task of work is shifting from execution to decision-making. This will fundamentally alter how contribution is measured. Historically, activity was the proxy for value. Employees who produced slides, wrote briefs, conducted research, or prepared summaries were considered productive. That model is rapidly collapsing. The premium is shifting from action to intention. The value is not in the work itself, but in the thinking that shapes it. AI's strength is content. Ours is context. The people who can guide the agents to produce meaningful, relevant, and actionable results will be the ones who rise. Context engineering is about asking the right questions, steering the AI, making fast calls. This is the new differentiator. Every interaction improves the tool. The more you engage with AI, the sharper it becomes. The return on that investment is exponential. Timelines collapse, and what once took months now takes hours. You no longer need three meetings to align on an analysis. The results are immediate, and they speak for themselves. The pace is only going to accelerate, and in that environment, the capacity for judgment, trust, and leadership becomes more, not less, DC - SEPTEMBER 13: (L-R) NVIDIA CEO Jensen Huang, Google CEO Sundar Pichai and Meta CEO ... More Mark Zuckerberg visit before attending the "AI Insight Forum" (Photo by) A Window of Acceleration or Obsolescence This is a career-defining moment. The AI shift is not coming. It is here. For employees at every level, this is the time to integrate it into your work and become fluent. The window to stand out has opened, but it will also close quickly. Those who learn to work with AI will rise, while those who do not will be overtaken by it. We are already seeing companies adjust. Leaders are restructuring and flattening teams, while drastically reducing headcount. Bank of America, Microsoft, Hewlett Packard, and Proctor & Gamble are just a small sample of the Companies following this trend. Publicly, this looks like efficiency. Internally, it's an acknowledgment that AI is enabling them to do more with less. Hiring trends confirm it. Many companies have instituted quiet hiring freezes or paused general recruitment all together. Departing employees are not being replaced unless the role is tied to AI expertise. Growth is being achieved through automation and intelligent systems, not headcount. This is not conjecture, it is already happening right in front of Job Market Is Already Telling the Truth The top-line unemployment numbers look healthy but talk to a recent college graduate or a mid-level white-collar worker. Many will tell you the job market is frozen. Openings are scarce, and competition is high. AI capabilities are increasingly a baseline expectation, not a bonus capability, and the market has shifted as the demand for AI-fluent workers is rising. The jobs are for those who aren't complacent and are leveraging AI to be more efficient and effective. For those who don't adapt and make AI a reflexive skill, the job market of 1991 will soon look like a boom of a person's hand holding an iPhone and using Google AI Mode, an experimental mode ... More utilizing artificial intelligence and large language models to process Google search queries, Lafayette, California, March 24, 2025. (Photo by Smith Collection/Gado/Getty Images)
