IT/기술 · "WARNED" · 총 40건
필터 보기현재 지수
50.3
0 = 부정 우세
50 = 중립
100 = 긍정 우세
최근 7일 기준 85,315건을 분석한 결과, 뉴스 심리지수는 50.3(균형)입니다. 긍정 4,306건(5.0%)·중립 78,994건(92.6%)·부정 2,015건(2.4%)이며, 중립 비중이 뚜렷하게 높습니다. 성향 지수는 종합 14.9(중도 균형)입니다.
Meanwhile, Defense Secretary Pete Hegseth warned European allies of being stormed by ‘different, dangerous ideologies’
The British monarch has stressed the importance of the rule of law, while the pope has warned against leaving societies defenseless in the face of technology. Columnist Gilles Paris examines these symbolic statements, which could break the current climate of paralysis.
KARACHI: Quantum Global Data Centre (QGDC), a venture of the Gul Ahmed Energy Group, announced plans on Thursday to develop Pakistan’s largest Tier III data centre, which is expected to become operational in 2027 with an initial investment of $230 million, Bloomberg reported. The project’s investment could rise to $600 million over the next three to four years. The announcement came as QGDC signed a strategic partnership agreement with Huawei Pakistan to develop the facility and a science and technology park to support Pakistan’s digital transformation, according to the press release. Speaking at the Q Summit, QGDC Chairman Danish Iqbal said that, although Pakistan was still in the early stages of AI adoption, it was already spending between $700m and $800m annually, warning that demand for computing power would rise sharply in the coming years. “Right now, with this minimal AI, we haven’t even started,” he said. “For our economies to grow, we need to go to very high AI compute. And that compute, without data centres, we will not be able to do.” He warned that Pakistan could end up importing billions of dollars’ worth of computing capacity and data services if domestic infrastructure is not developed. “We are at that stage that if we don’t take this chance right now, we will miss this boat,” Mr Iqbal said. “And this will be a very costly boat, which we will not be able to build.” He said the country’s local demand for data centre capacity was already significant and would continue to increase as businesses, hospitals, educational institutions and digital services migrate to cloud-based systems. Speakers at the summit argued that investment in digital infrastructure could have an outsized economic impact. Published in Dawn, June 6th, 2026
It warned that rapid advances in technology could soon allow AI systems to improve themselves faster than human control.
Artificial intelligence company Anthropic suggested Thursday a global pause on building the most powerful AI systems as the latest models are beginning to show signs they could escape human control. The San Francisco-based company, which makes the Claude family of AI models, said in a report that a worldwide slowdown in cutting-edge AI development would "likely be a good thing" -- but warned that if only one company stopped, rivals would simply race ahead.
Nine major industry trade groups have warned the Trump administration that the rapid expansion of AI data centers is severely straining global memory chip supplies. This surge in demand is driving up prices and reducing availability for critical sectors like automotive, healthcare, and consumer electronics, posing risks to US supply chains and the broader economy.
Washington and Silicon Valley are bracing for the fallout from AI’s potential displacement of workers, floating everything from transition assistance to universal basic income as Americans express growing discontent with the technology. AI leaders have long warned the technology could disrupt the labor market, with predictions varying from a so-called jobs apocalypse to more mild...
Indonesia's research agency chief warned that artificial intelligence must not undermine academic integrity, ...
The former U.S. energy advisor warned the industry must change how it talks to the public or risk being blocked from building data centers and power plants fueling AI.
Skipping pleasantries like “please” and “thank you” when talking to chatbots could save enough energy to power the annual needs of 760,000 residents in sub-Saharan Africa, highlighting the massive but often hidden environmental toll of artificial intelligence, according to a new UN report. Released by the Institute for Water, Environment and Health under the United Nations University, the UN’s academic arm, the study published on Wednesday also warned that the true cost of AI extended far beyond...
Comments
New York Times publisher A.G. Sulzberger warned that AI companies were making choices that could lead to “a great deal of unnecessary harm” to the news business and the public’s access to reliable sources, in a speech delivered during the World News Media Congress in France on Monday. Companies leading the development of generative-AI systems — including […]
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.”
MANILA, Philippines — The Bureau of Fire Protection (BFP) on Friday warned the public against artificial intelligence (AI)-generated photos of rescuers, noting that such photos can easily spread during times of emergency and disasters. In a Facebook advisory, the BFP flagged as “fake news alert” the circulating photos of BFP rescuers posing and dancing in
American scientist Gary Marcus has hit back at Oracle founder Larry Ellison's claim that AI models like ChatGPT, Gemini, Grok, and Llama are commoditised because they train on the same public data. Marcus says he warned of this exact "no moat" problem two years ago, predicting price wars and weak differentiation. He argues Silicon Valley's refusal to listen will cost the industry billions.
The PC and printer maker posted $14.4 billion in second-quarter revenue, up 9%, but warned rising memory costs will pressure margins
Hong Kong’s exports rose by nearly 43 per cent year on year in April, driven by strong global demand for artificial intelligence-related electronics, although the government warned that the Middle East war could cloud the near-term outlook. Provisional figures released by the Census and Statistics Department on Thursday showed that the total value of exports rose by 42.9 per cent in April to HK$620.9 billion (US$79.3 billion), following a 35.8 per cent increase in March. April’s surge represents...
The Federal Communications Commission has warned that scammers are increasingly using AI to emulate voices known to people in order to steal money and information.
On Monday, Pope Leo XIV unveiled an encyclical letter addressing the societal implications of artificial intelligence. The letter, titled Magnifica Humanitas, warned that the "use of AI is never a purely technical matter: when it enters processes that affect people's lives, it touches on rights, opportunities, status and freedom." Alongside him was Anthropic cofounder and […]