IT/기술 · "PETITION" · 총 39건
필터 보기현재 지수
50.3
0 = 부정 우세
50 = 중립
100 = 긍정 우세
최근 7일 기준 86,600건을 분석한 결과, 뉴스 심리지수는 50.3(균형)입니다. 긍정 4,359건(5.0%)·중립 80,199건(92.6%)·부정 2,042건(2.4%)이며, 중립 비중이 뚜렷하게 높습니다. 성향 지수는 종합 14.8(중도 균형)입니다.
The changes are part of a broader reorganisation at OpenAI as it shifts resources to target lucrative enterprise clients and intensify competition with rival Anthropic.
OpenAI's custom chip program lead, Clive Chan, has joined rival Anthropic, a significant blow to OpenAI's hardware ambitions ahead of a potential IPO. Chan, who previously worked on Tesla's Dojo supercomputer, cited Anthropic's talent and ambition as reasons for his move. This departure highlights the intense competition in developing custom AI chips.
Financial Secretary Paul Chan on Sunday said a committee dedicated to artificial intelligence development in Hong Kong would hold its first meeting this month. Writing in his weekly blog, Chan said the Committee on AI+ and Industry Development Strategy consists of experts, academics and business representatives. It will study the use of AI in life and health science, embodied AI as well as AI application strategies in various aspects such as transport, culture and sustainable development, he said. Chan also said the government had allocated HK$50 million to launch AI training for all, including courses on AI application, lectures and competitions. He said over 200 events were expected to be hosted in two years, benefiting some 50,000 people. Chan went on to say that the form of AI training would be diversified to meet the needs of different groups. “For example, training for students can place more emphasis on encouraging practical application,” he said. “To help the elderly gain a basic understanding of AI so that they can better use the tool and avoid being scammed, we will first offer training for the community and students and let them become ambassadors for seniors’ AI learning.” The FS also said a mainland firm working on embodied AI would launch a robot retail store at the Hung Hom harbourfront soon, with a robot store manager serving customers in multiple languages around the clock. “A person-in-charge told us they chose Hong Kong as the first stop for their retail stores to go global because of the city’s international platform, open atmosphere for new technologies and visibility of innovation and technology projects,” Chan said. “International capital continues to pay attention to and be optimistic about our country’s leading advantages in several emerging industries. The Hong Kong market, as an important international financing centre for these companies, also enhances the city’s attractiveness to start-ups and technology companies.” Chan added that the SAR has been promoting AI development at full speed over the past few years. Edited by Tony Sabine
Lectric, which says the U.S. market is ripe for competition and choice, has launched three new brands in the past six months.
Google cofounders Larry Page and Sergey Brin each saw their fortunes drop by approximately $10 billion following Alphabet's announcement of an $80 billion stock sale. This massive fundraising aims to fuel the company's AI expansion amidst intensifying competition and projected significant capital expenditures. The market's reaction to the ambitious plan led to a sharp decline in Alphabet's share price.
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Microsoft's AI chief, Mustafa Suleyman, revealed a strategic shift, prioritizing competition with Anthropic over rivals like Google and Meta. This focus stems from Anthropic's aggressive entry into enterprise software and coding tools, posing a direct threat to Microsoft's core business. Microsoft is now developing its own advanced AI models to counter this challenge and reduce reliance on OpenAI.
As artificial intelligence steps out of the digital realm and into the real world, the race to build the embodied “brains” powering next-generation robots has become the newest battleground in tech competition between China and the United States. Two days after US chip giant Nvidia launched its Cosmos 3 model – designed to help physical AI “think before it acts” – a Chinese start-up stole the spotlight. On Wednesday, Hangzhou, Zhejiang province-based Spirit AI said its foundation model for...
'This will put publishers, like news organizations, in a stronger position to negotiate content deals with Google,' the Competition and Markets Authority said on Wednesday
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.
Google is planning a historic $80 billion equity capital markets transaction to fund its significant investments in artificial intelligence infrastructure. This massive fundraising effort includes a $40 billion at-the-market offering and a $10 billion private placement with Berkshire Hathaway, aiming to bolster its AI capabilities amidst fierce industry competition.
Chinese artificial intelligence start-up DeepSeek is finalising its first external fundraising round, securing over 50 billion yuan (US$7.4 billion) at a valuation of just under US$60 billion, according to people familiar with the matter – marking a six-fold leap from its US$10 billion valuation in April. The blockbuster round highlights intensifying global competition and a shifting strategy for the AI breakout star, which had previously resisted external capital. Market-oriented investors and...
Online publishers are getting more control over whether their websites appear in Google's AI Search features, thanks to a UK regulatory ruling. The new conduct rule imposed by the Competition and Markets Authority (CMA) requires Google to let website owners keep their content out of features like AI Overviews and prevent it from being used […]
Google accounts for more than 90% of UK queries and Britain’s Competition and Markets Authority (CMA) said in January it wanted to give publishers more control over how their content is used.
Google accounts for more than 90% of UK queries and the Competition and Markets Authority says it wants to give publishers more control over how their content is used
Watchdog says ‘publishers will now have effective tools to prevent content being used to power AI features in search’ Business live – latest updates Publishers will be able to opt out of their content being used to train Google’s AI models and power its search summaries, the UK competition watchdog has announced as it imposes new conduct requirements on search services. “Publishers will now have effective tools to prevent their content being used to power AI features in search, such as AI Overviews,” the Competition and Markets Authority said. Continue reading...
Publishers can opt out of training Google's AI models under the new regulations.
The Competition and Markets Authority says it would put publishers "in a stronger position to negotiate content deals with Google".
OpenAI and Anthropic prepare record AI IPOs amid fierce competition