🇵🇰 파키스탄 · IT/기술 · "CAS" · 총 4건
필터 보기현재 지수
50.0
0 = 부정 우세
50 = 중립
100 = 긍정 우세
최근 7일 기준 942건을 분석한 결과, 뉴스 심리지수는 50.0(균형)입니다. 긍정 1건(0.1%)·중립 940건(99.8%)·부정 1건(0.1%)이며, 중립 비중이 뚜렷하게 높습니다. 성향 지수는 종합 0.0(중도 균형)입니다.
Bitcoin crashed 50% due to AI mania luring billions away from crypto Bitcoin hit a 50% crash, showcasing its worst weekly performance in nearly four years, tumbling 15% to $62,500. This extends the brutal decline of crypto, as bitcoin tumbles to $62,500. This sell-off, which...
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.”
AN artificial intelligence age estimation tool that aims to detect adult migrants posing as children will be deployed at the UK’s borders from next year, BBC News reported. A software company has been awarded a contract to develop and test the technology, which would estimate a person’s age by analysing photographs of them taken at the border. The report cited the UK Home Office as saying the technology would make it easier to identify adult migrants “attempting to game the system”, after initial testing indicated “promising performance and accuracy”. However, the Human Rights Watch urged the government to scrap the scheme, describing it as “unproven technology” that would undermine the protections vulnerable children were entitled to. New technology to be deployed from next year for strengthening asylum checks Unaccompanied child migrants receive support from local councils and are housed in the care system rather than more traditional asylum accommodation such as hotels. They are entitled to legal protections which can simplify the asylum application system and make it easier to stay in the country for longer. According to the BBC, the decision to use the software comes after years of heightened levels of people crossing the English Channel in small boats and claiming asylum at the border. Rising numbers A total of 111,084 people claimed asylum in the UK in the year ending June 2025, 14 per cent more than in the previous year. In the year ending March 2026, more than 6,400 migrants claiming to be children were age-assessed at the border, with 43pc found to be adults, according to Home Office data. A report carried out by the UK government’s independent immigration inspector last year found cases where adult migrants had been classified as children — and cases where child migrants had been wrongly classified as adults. The report said in the absence of a “foolproof” test, it was “inevitable that some age assessments will be wrong, which is clearly a cause for concern, especially where a child is denied the rights and protections to which they are entitled”. According to BBC, the government announced plans to use AI facial estimation technology to combat this problem last year. Published in Dawn, May 30th, 2026