Quartz
중도 성향
IT/기술
Elizabeth Warren wants Jensen Huang to testify on Nvidia's chip sales to China
Warren invited the Nvidia CEO to appear before the Senate Banking Committee on June 11 to answer questions about export controls and China business
IT/기술 · "QUESTIONS" · 총 38건
필터 보기현재 지수
50.3
0 = 부정 우세
50 = 중립
100 = 긍정 우세
최근 7일 기준 81,569건을 분석한 결과, 뉴스 심리지수는 50.3(균형)입니다. 긍정 4,141건(5.1%)·중립 75,404건(92.4%)·부정 2,024건(2.5%)이며, 중립 비중이 뚜렷하게 높습니다. 성향 지수는 종합 14.7(중도 균형)입니다.
Warren invited the Nvidia CEO to appear before the Senate Banking Committee on June 11 to answer questions about export controls and China business
The US Commerce Department's Bureau of Industry and Security has quietly closed a year-old loophole that let Nvidia's most advanced Blackwell AI chips reach overseas subsidiaries of Chinese companies without an export licence. Industry sources estimate hundreds of thousands of chips may have already shipped through the gap. The new guidance still leaves data centre servicing and TSMC foundry due diligence untouched, raising fresh enforcement questions.
Another ally questions reliance on American AI
Creators often have to parse through charts and dashboards to understand their performance, but with the new AI assistant, they can get quick answers to questions like "When should I post?" and "What are people saying in my comments?"
Reporting income/assets etc. in the ITR should be matched with Annual Information Statement (AIS). As through system checks and reconciliation runs, using technology for ITR processing might trigger even small gaps, errors or incorrect claims and may lead to prompt questions.
Advanced AI is made to interrupt users. This could have negative impacts on human mental health. An AI Insider analysis and scoop.
New graduates’ careers are unfolding in an era when AI is not optional. The most successful engineers treat artificial intelligence as leverage, not competition. Here are seven tips to help keep young professionals in demand no matter how quickly the field’s tools evolve. 1. Master the fundamentals first. AI tools can help you code, but you still need strong fundamentals in: Data structures and algorithms for problem-solving. Operating systems, databases, and networking for system-level understanding. Core programming languages such as C++, Java, and Python. AI can autocomplete syntax, but if you don’t understand how things work under the hood, you’re likely to struggle to debug or optimize. 2. Learn how to work with AI, not against it. The best engineers will not try to out-code AI. Instead, they will learn to: Write clear prompts to generate better code snippets. Review and debug AI-generated code for accuracy, performance, and security. Use AI for productivity boosts while still exercising judgment. Think of AI as a teammate. The real skill is knowing when to trust it and when not to. 3. Build projects that showcase end-to-end thinking. Employers increasingly look for engineers who can design and build systems, not just solve problems. Create projects that show you can: Define requirements clearly. Use AI tools responsibly within the workflow. Deliver a product that scales and is maintainable. 4. Sharpen your system design skills early. Even junior engineers are now asked questions about basic system design with AI. Expect to explain to prospective employers: How you would responsibly integrate AI into a system. How to design fallbacks when AI fails. How to ensure scalability and reliability. 5. Develop strong communication skills. Today’s engineers don’t just code in isolation. You will be expected to: Explain design choices to teammates and stakeholders. Document decisions clearly. Collaborate effectively in cross-functional teams. This is one area where AI cannot replace you. Clear communication is a career accelerant. 6. Stay curious and keep learning. The tech industry moves fast, and AI is accelerating that pace. Cultivate habits such as: Following industry news, blogs, and open-source projects. Experimenting with new AI tools, frameworks, and libraries. Engaging in communities such as GitHub, IEEE Collabratec, LinkedIn, and Medium. Employers value engineers who keep themselves sharp and relevant. 7. Think beyond coding. AI will increasingly handle routine coding tasks. The differentiators for you will be: Problem-framing: Can you take a vague idea and turn it into a solution? Architectural judgment: Can you design systems that scale and last? Ethical awareness: Can you spot risks in AI use and address them responsibly? For more career advice, subscribe to the IEEE Spectrum Career Alert Newsletter. The biweekly newsletter features the latest information on jobs, education, management, and the engineering workplace.
One of largest equity fundraisings ever includes $10bn share sale to US investment group Berkshire Hathaway Business live – latest updates Google’s parent company Alphabet has said it plans to raise up to $80bn (£59bn) in equity to fund its vast artificial intelligence infrastructure investments, raising further questions over the economics of the AI boom. The move, one of the largest equity fundraisings ever globally, includes a $10bn share sale to the US investment group Berkshire Hathaway, which was led until last year by the retired investment guru Warren Buffett for 60 years. Continue reading...
The shares of Indian IT companies including Infosys, TCS and others continued to record sharp gains on Tuesday, pushing the Nifty IT over 3% higher even as the broader Nifty index slipped into the deep red.The Nifty IT index extended gains for the third consecutive session, jumping around 7% during the period to hit a high of 30,785 on Tuesday. Nifty crashed 3% during the same time to trade below 23,250.Infosys shares gained more than 4% to trade at Rs 1,257.90 apiece in the morning trading hours of Tuesday. The heavyweight IT stock has now gained nearly 9% in just three sessions. The shares of Tata Consultancy Services (TCS) meanwhile jumped around 3.5%.Mphasis and LTI Mindtree shares jumped nearly 3% each, while HCL Technologies, Coforge, Tech Mahindra and Persistent Systems shares jumped around 2% each. Wipro shares were trading in the green with marginal gains.What’s driving the rally in IT stocks?The sharp surge in IT stocks comes after a significant decline earlier this year, following the launch of plug-ins for AI startup Anthropic's Claude Cowork agent, which could automate tasks across legal, sales, marketing, and data analysis. "We call it the ‘SaaSpocalypse,’ an apocalypse for software-as-a-service stocks," Bloomberg quoted Jeffrey Favuzza from the equity trading desk at Jefferies.While analysts continue to debate the future of IT companies following fresh AI advancements, investors were quick to analyse the cheap valuations, leading to some pockets of buying. Nuvama, in its note, had highlighted that the IT sector is setting up for a powerful comeback, not a collapse after the brutal AI-driven selloff.“We see no existential threat from Gen-AI,” the brokerage writes, arguing that enterprises will still need a “system integrator” to customise plug-and-play AI and software tools for their highly complex, brownfield technology stacks and to take ownership when “the system fails at 2 am.”The latest round of buying also comes ahead of the Federal Reserve’s policy meeting next month, which would be the first under Chair Kevin Warsh. US President Donald Trump had selected Warsh partly on expectations that he would support lower borrowing costs to stimulate economic growth. However, rising inflation raised questions over the possibility of lowering rates."Indian IT firms are following suit of American companies like Anthropic and OpenAI by taking up contracts and tie-ups which are perceived as promising by investors," said Gaurav Sharma, head of Research, Globe Capital.Arbind Maheswari from BofA Securities told ET Now that the market globally is attracting flow towards only one story, at the front and centre of it is tech and AI. It is hard to pull away from that fact with a near-term vision. “There are people who believe that the whole business model of Indian IT services is put to question by the AI trade. The other side is that IT services companies will evolve and adapt and they have enough cash flow, they have the resilience, and they have shown this in the past where there were threats that seemed existential for the IT services space. This time obviously it is much bigger and it could last longer but I am sure there is enough that these companies have in them both in terms of depth of management and business models that they can evolve to adapt to the new AI world,” he added.Wipro to acquire additional stake in Aggne Global for $28.5 millionWipro announced that it will acquire an additional 20% stake in US-based insurtech company Aggne Global Inc through an all-cash transaction worth $28.5 million. The company said the transaction is expected to be completed by June 5.Earlier this year, the company acquired Mindsprint for $375 million as part of a broader $1 billion transaction with its parent, Olam Group. It also purchased select customer contracts from US-based Alpha Net Consulting LLC and its subsidiaries for $71 million.(Disclaimer: Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of The Economic Times)
The AI-powered, life-size 3D avatar of Mahatma Gandhi — now live at the Pradhanmantri Sangrahalaya in the capital — is fielding questions from visitors and answering in Gandhi’s own voice, based on his documented speeches, writings and recorded views.
An AI-powered medication monitoring system failed to detect months of fentanyl theft by a nurse at Tennessee's largest hospital in Chattanooga, according to state nursing board records that raise questions about the effectiveness of artificial intelligence systems used in hundreds of American hospitals. The post AI Drug Monitoring System Failed to Detect Nurse’s Fentanyl Theft at Tennessee Hospital appeared first on Breitbart.
The expectations for artificial intelligence (AI) in health and care are disproportionately high for how little societal debate there is on the ethical questions the technology’s use rais
Almost 50 per cent of young adults in six major economies think AI romantic companionship will improve human happiness through emotional support in the next decade, the results of a large survey suggested on Monday. The percentage dropped progressively across older age categories to just a quarter of people aged 55 and over, according to the research shared exclusively with AFP. Leaps in AI development have seen people turn to chatbots as confidants and lovers, while advancements in robotics are helping produce more sophisticated sex dolls — raising questions over the impact on human relationships. The survey of nearly 10,000 people across the United States, Japan, Germany, Britain, Indonesia and Hong Kong provides a snapshot of this “rapidly changing moral landscape”, pollsters YouGov said. It also shows “a profound ideological split between Western and Asian markets”, with the latter seemingly more accepting of technologically enabled sex and romance. In terms of emotional support, 48pc of all respondents aged 18-24 and 47pc of 25 to 34-year-olds said they thought “AI intimacy companions” — a category ranging from chatbots to sex dolls — would improve human happiness in the next decade. When the same question was asked focusing on deeper connection and sexual wellbeing, the figures came in at 32pc and 38pc respectively. On both counts, older people were less optimistic. The psychological impact of chatbots on vulnerable people has been under scrutiny, with the deaths of several teenagers linked to AI use by their families. Geographic split YouGov and the media company that commissioned the research, Tokyo-based Star X Gen, told AFP they were surprised by the regional disparity. In Indonesia, 50pc of people — of all ages — said they thought AI companions would improve connection and sexual wellness. It was 34pc in Hong Kong and 24pc in Japan, declining to 20pc in the United States, 15pc in Germany and just 9pc in Britain. “While Western audiences largely view synthetic intimacy as a threat to authentic human closeness, Asian audiences appear increasingly ready to integrate AI into their personal and physical lives,” said YouGov’s Philippe Chan. While the use of AI chatbots for romance and sex is becoming more commonplace, their embodiment in robots or dolls is at a more nascent stage. Across all 9,912 respondents, only 17pc said they would consider using an “AI intimacy doll”, compared to 59pc who said they would not. Across the board, younger adults were more likely than older ones to consider using a doll — and in Japan and Germany, the number of younger people who would think about trying a doll was nearly double the national average. “While the global (general population) remains wary, the next generation is actively redefining the boundaries of companionship,” the report said. In Japan, over a third of younger adults said they believed AI dolls could provide a sense of love, outnumbering those who disagreed.
Trading veteran Kevin Muir, author of the Macro Tourist on Substack, raises questions about true demand for artificial intelligence.
From NEET disputes and CBSE issues to fighting pollution, improving irrigation and aiding farmers, IITs are increasingly becoming India's go-to problem-solvers beyond academia.
Shares of Indian IT companies, including heavyweights Infosys, Tech Mahindra, TCS and Persistent Systems jumped up to 5% on Monday as multiple tailwinds boosted investor sentiment, pushing the Nifty IT index up around 3% to emerge as the top sectoral gainer.The index rose to 29,905 in the morning trading hours of Monday, extending sharp gains for the second consecutive session. The index has now jumped nearly 4% over two days.The sharp surge in IT stocks comes after a significant decline earlier this year, following the launch of plug-ins for AI startup Anthropic's Claude Cowork agent, which could automate tasks across legal, sales, marketing, and data analysis. "We call it the ‘SaaSpocalypse,’ an apocalypse for software-as-a-service stocks," Bloomberg quoted Jeffrey Favuzza from the equity trading desk at Jefferies as saying.While doomsday prophets continue to debate the future of IT companies following fresh AI advancements, investors were quick to analyse the cheap valuations, leading to some pockets of buying. Nuvama, in its note, had highlighted that the IT sector is setting up for a powerful comeback, not a collapse after the brutal AI-driven selloff.“We see no existential threat from Gen-AI,” the brokerage writes, arguing that enterprises will still need a “system integrator” to customise plug-and-play AI and software tools for their highly complex, brownfield technology stacks and to take ownership when “the system fails at 2 am.”Also read: Reports of my death are greatly exaggerated! Why Nuvama is screaming buy on all top 10 IT stocksThe latest round of buying also comes ahead of the Federal Reserve’s policy meeting next month, which would be the first under Chair Kevin Warsh. US President Donald Trump had selected Warsh partly on expectations that he would support lower borrowing costs to stimulate economic growth. However, rising inflation raised questions over the possibility of lowering rates.Technical view on Nifty ITThe Nifty IT index has witnessed a strong rebound after taking support near its crucial support zone, indicating the possibility of a short-term recovery in the sector, Kunal Kamble, Senior Technical Research Analyst at Bonanza had said. “On the hourly time frame, the index is currently forming an inverse Head and Shoulders pattern. A decisive breakout is seen above the neckline of this pattern and has triggered further upside momentum in the index. Such a move is likely to positively impact heavyweight IT stocks that share a high correlation with the index, including Infosys, Tata Consultancy Services, and HCL Technologies,” he added.Technically, the analyst had suggested that if the index manages to sustain above the 29,650 mark, it may open the door for a further recovery towards the 31,280 zone in the near term. However, he added that the current price action appears to be a retracement within the broader trend rather than a complete trend reversal. Therefore, traders should approach the sector with a cautious outlook.“Aggressive or high-risk traders may consider short-term trading opportunities in select IT counters, provided the index maintains strength above key support levels. On the downside, a breach below 28,800 could once again invite selling pressure across the Nifty IT index and associated IT stocks, potentially weakening the ongoing recovery structure,” he said.IT stocksPersistent Systems shares were the top gainers on the Nifty IT index, jumping nearly 5%. Infosys shares followed, surging nearly 4%. Mphasis, Tech Mahindra, LTI Mindtree and Coforge shares gained over 3% each.Also read: Wockhardt shares rocket 19% after FDA approval for antibiotic targeting drug-resistant infectionsTata Consultancy Services (TCS) and OFSS shares jumped around 2% each, while HCL Technologies and Wipro shares gained around 1% each.(Disclaimer: Recommendations, suggestions, views and opinions given by the experts are their own. These do not represent the views of The Economic Times)
Artificial intelligence is getting expensive — and companies are starting to rethink their embrace of the disruptive technology. Playing by a well-worn Silicon Valley playbook, AI companies charged rock-bottom prices to hook customers after ChatGPT burst onto the scene. Kevin Simback of startup incubator Delphi Labs calls it the era of “subsidised intelligence” — meaning investors were basically footing the bill so companies could offer AI on the cheap. “But the tides are beginning to turn,” Simback warned and an era where the big AI companies actually need to make money has begun — with leaders OpenAI and Anthropic looking to go public and attract main street investors later this year. Prices are rising across the board, and one big reason is AI agents. Unlike a chatbot that just answers questions, agents actually do things — book appointments, write code, manage files. And they’re expensive to run, because one task can spin up dozens of agents all working at once, each racking up charges. Those charges are measured in tokens — the basic unit AI companies use to bill customers. A single agent-powered task can burn through dozens of times’ more tokens than a simple chat message. Meanwhile, the computer chips and data centres needed to power all this AI can’t keep up with demand, creating computing shortages and adding further uncertainty to the nascent industry. “Especially in developer circles, the cost to use AI for things like coding has grown exponentially,” said Mark Barton of tech consultancy Omniux. “All the costs are really starting to skyrocket.” Some companies have been so eager to use AI that they’ve gone overboard in a usage binge called “tokenmaxxing”. “In some cases, people are seeing the cost of tokens exceed the cost of the employee within a month or two of use, just because they’re using it too much,” says analyst Jack Gold of J.Gold Associates. Smarter spending Even Meta — which earlier this year encouraged employees to use as many tokens as possible as a measure of productivity — has had second thoughts. “Nobody should be using AI tools just for the sake of using them,” chief technology officer Andrew Bosworth wrote in a memo to staff, reported by the Wall Street Journal. Uber’s chief operating officer this week went a step further, raising eyebrows by saying all this AI spending was showing no noticeable increase in productivity. To cut costs, some companies are switching to free, open-source AI models that anyone can download — not as powerful as ChatGPT or Anthropic’s Claude, but good enough for many tasks. Others are moving to smaller, more specialised models built for specific industries like real estate or finance, rather than giant general-purpose ones. And some are simply breaking big AI tasks into smaller steps, handing each piece to the cheapest model that can handle it. The price difference can be dramatic. “The big large monolithic model, it’s $15 per million tokens, but you can get that down to like five cents if you use the smaller mini model,” says Adrian Balfour of consultancy Enverso. All of this points to AI becoming more like a commodity — where the specific model matters less than finding the right one at the right price. But don’t count out the big players and their state-of-the-art models just yet. “The most advanced users” will always be willing to pay for the best, says John Belton, a portfolio manager at Gabelli Funds. “It’s a growing pie.”
Artificial intelligence is getting expensive — and companies are starting to rethink their embrace of the disruptive technology. Playing by a well-worn Silicon Valley playbook, AI companies charged rock-bottom prices to hook customers after ChatGPT burst onto the scene. Kevin Simback of startup incubator Delphi Labs calls it the era of “subsidised intelligence” — meaning investors were basically footing the bill so companies could offer AI on the cheap. “But the tides are beginning to turn,” Simback warned and an era where the big AI companies actually need to make money has begun — with leaders OpenAI and Anthropic looking to go public and attract main street investors later this year. Prices are rising across the board, and one big reason is AI agents. Unlike a chatbot that just answers questions, agents actually do things — book appointments, write code, manage files. And they’re expensive to run, because one task can spin up dozens of agents all working at once, each racking up charges. Those charges are measured in tokens — the basic unit AI companies use to bill customers. A single agent-powered task can burn through dozens of times’ more tokens than a simple chat message. Meanwhile, the computer chips and data centres needed to power all this AI can’t keep up with demand, creating computing shortages and adding further uncertainty to the nascent industry. “Especially in developer circles, the cost to use AI for things like coding has grown exponentially,” said Mark Barton of tech consultancy Omniux. “All the costs are really starting to skyrocket.” Some companies have been so eager to use AI that they’ve gone overboard in a usage binge called “tokenmaxxing”. “In some cases, people are seeing the cost of tokens exceed the cost of the employee within a month or two of use, just because they’re using it too much,” says analyst Jack Gold of J.Gold Associates. Smarter spending Even Meta — which earlier this year encouraged employees to use as many tokens as possible as a measure of productivity — has had second thoughts. “Nobody should be using AI tools just for the sake of using them,” chief technology officer Andrew Bosworth wrote in a memo to staff, reported by the Wall Street Journal. Uber’s chief operating officer this week went a step further, raising eyebrows by saying all this AI spending was showing no noticeable increase in productivity. To cut costs, some companies are switching to free, open-source AI models that anyone can download — not as powerful as ChatGPT or Anthropic’s Claude, but good enough for many tasks. Others are moving to smaller, more specialised models built for specific industries like real estate or finance, rather than giant general-purpose ones. And some are simply breaking big AI tasks into smaller steps, handing each piece to the cheapest model that can handle it. The price difference can be dramatic. “The big large monolithic model, it’s $15 per million tokens, but you can get that down to like five cents if you use the smaller mini model,” says Adrian Balfour of consultancy Enverso. All of this points to AI becoming more like a commodity — where the specific model matters less than finding the right one at the right price. But don’t count out the big players and their state-of-the-art models just yet. “The most advanced users” will always be willing to pay for the best, says John Belton, a portfolio manager at Gabelli Funds. “It’s a growing pie.”
Pope Leo XIV during his weekly general audience in the Vatican on May 27, 2026.
The clarification contradicts earlier reports of a deal running through May 2029, and raises questions about SpaceX's IPO disclosure