What smart people are saying about Anthropic suggesting a global AI pause
"We believe it would be good for the world to have the option to slow or temporarily pause," two leading Anthropic officials wrote.
IT/기술 · "SAYING" · 총 33건
필터 보기현재 지수
50.3
0 = 부정 우세
50 = 중립
100 = 긍정 우세
최근 7일 기준 84,076건을 분석한 결과, 뉴스 심리지수는 50.2(균형)입니다. 긍정 4,217건(5.0%)·중립 77,773건(92.5%)·부정 2,086건(2.5%)이며, 중립 비중이 뚜렷하게 높습니다. 성향 지수는 종합 14.8(중도 균형)입니다.
"We believe it would be good for the world to have the option to slow or temporarily pause," two leading Anthropic officials wrote.
Most orgs remain trapped between flashy demos and real-world deployment, despite 75% saying adoption is racing ahead
Foyer uses personal OpenAI and Anthropic accounts to reduce AI costs, with execs saying they save $30k monthly versus enterprise plans.
No official records or reports from the International Criminal Court indicate that Judge Joanna Korner made the supposed remark
Parents want the rollout slowed, saying the rules fail to address concerns ranging from AI’s environmental impact to its effects on children’s mental health and cognitive development.
Valve now says that the delayed Steam Machine PC and Steam Frame VR headset are set to launch sometime this summer. In a Thursday blog post detailing its Verified programs for both pieces of hardware, Valve concludes by saying that "We're excited for players to try your titles on the new Steam hardware once they […]
Kevin O'Leary agreed to halve the size of his planned 40,000-acre data center in Utah amid mounting pressure from residents and activists, as reported earlier by local affiliate ABC4. The Shark Tank star sent a letter to Utah Senate President J. Stuart Adams on Thursday, saying that he will remove 19,430 acres from the project, […]
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?"
The video shows Padilla supposedly saying Marcos and Robredo are best fit to lead the country; the senator is a staunch supporter of the Dutertes
Jess Asato (pictured), the MP for Lowestoft in Suffolk, previously said it was 'violating' to see the tech billionaire's AI chatbot used to create images of her without consent.
Jess Asato was portrayed wearing a bikini in Grok-generated images after she criticised creation of such non-consensual pictures A Labour MP has taken legal action against Elon Musk’s xAI company after saying its Grok tool helped a user produce fake sexualised pictures of her, part of a wave of such images that flooded the social media platform X earlier this year. Jess Asato, the MP for Lowestoft, said in January that seeing herself portrayed by the AI tool as wearing a bikini without her consent was “violating”. Continue reading...
The Nvidia CEO addressed more than 300 guests at a closed-door Taipei forum, saying only "crazy" people now question AI's ROI
The director defends investment in and use of AI-generated storyboards, saying the immediacy of communicating his vision to cast and crew is ‘creatively freeing’ Martin Scorsese’s announcement that he has invested in an AI company and uses the technology to create storyboards has triggered a backlash from fellow members of the film industry. The New York Times reported that Scorsese had been appointed in 2025 as a partner and adviser to Black Forest Labs, a German-based venture that specialises in text-to-image generative AI. Continue reading...
Sydney Morning Herald removes piece by Cath Ellis, despite Western Sydney University saying her use of AI was ‘appropriate’ Follow our Australia news live blog for latest updates Get our breaking news email, free app or daily news podcast A top Sydney academic used AI to write an opinion piece that urged students to “do the work” and not cut corners by using such technology, with the Sydney Morning Herald removing the “unacceptable” piece from its website. Western Sydney University’s pro vice-chancellor for quality and integrity, Prof Cath Ellis, had an opinion piece published in the Sydney Morning Herald last month, in response to an article from the academic Kylie Moore-Gilbert. Continue reading...
We may just have gotten an early look at the Google Pixel Watch 5 - and from an unusual source. Randy Pitchford, the creator of the Borderlands game franchise, posted a pair of images of a watch on X, saying that his friend found it underwater, while scuba diving near Saint Martin, as reported earlier […]
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)
Companies like Wix, Snap, and Block have all recently pointed to AI to explain cuts.
Emily Blunt rejected using artificial intelligence (AI) when filming a pivotal scene in Steven Spielberg's forthcoming sci-fi film Disclosure Day, saying she is terrified of the creative medium. The post Emily Blunt Is ‘Terrified of AI’ and Refused to Use It on Steven Spielberg’s ‘Disclosure Day’ appeared first on Breitbart.
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.”