GPU Loans on Chain: DeFi’s New Role Is Funding Servers, Not Yield Farms

KLA's strategic positioning in the chip equipment market underscores the sustained growth potential driven by AI and advanced packaging innovations. The post KLA Corporation eyes $250B global chip equipment market as AI demand surges appeared first on Crypto Briefing.

California's AI governance framework could set a precedent for balancing innovation with ethical standards, influencing national AI policies. The post Anthropic, Newsom sign deal to expand AI use in California government appeared first on Crypto Briefing.

BAT's AI-driven restructuring highlights the growing trend of automation in traditional industries, potentially reshaping global job markets. The post British American Tobacco cuts 5,500 jobs globally as AI-driven restructuring reshapes Big Tobacco appeared first on Crypto Briefing.

Modern AI systems are, in effect, a universal adviser to help people do harmful things. We’ll need to harness AI for defense, too Earlier this week, national security agencies from the Five Eyes – that’s the rich, English-language-speaking countries club – jointly released a statement warning of the increasing cyber risks of AI models: in particular, their ability to autonomously hack into systems and networks. The statement was more measured than some of the breathless headlines about it, and the advice they gave is pretty much the standard advice everyone gives – albeit with newfound urgency. Internet risks are nothing new, and cyber-attacks – both large and small – have been a significant issue since long before the current crop of generative AI models. Bruce Schneier is a security technologist who teaches at the Harvard Kennedy School at Harvard University and University of Toronto’s Munk School Continue reading...

Welcome to AI Insider’s The Week Ahead in AI. See the key developments and events we’re watching June 28-July 4. Weekend AI News Briefs Google Caps Meta’s Gemini Use as AI Demand Strains Capacity The Financial Times reported that Google has capped Meta’s access to its Gemini AI models after the social media company requested more […]

Microsoft's AI-driven growth paradox highlights broader tech industry challenges in balancing immediate capital expenditure with future returns. The post Microsoft shares face worst month since dot-com era amid AI concerns appeared first on Crypto Briefing.

Reading about the “revolutionary” nature of generative AI technology these days, it’s hard not to feel a little left out. Sure, services like Google’s Gemini and its contemporaries can be useful in certain limited, specific areas for productivity purposes. But working with them can also be pretty disheartening and overwhelming — from prompt fatigue and an onslaught of AI workslop to the fear of lost jobs and even just the simple inconsistencies and inaccuracies these systems are so prone to providing. (And that’s to say nothing of the ever-increasing creepy factor that often accompanies this type of technology.) More and more, it seems the most significant impact of these systems is in areas like coding, where AI is allowing ambitious tech-heads to create their own custom programs with limited to no programming knowledge (but a lot of time, vision, and patience) — as well as allowing accomplished coders to produce products more quickly by letting AI do the dirty work and then spending

China's AI education plan could redefine global educational standards, fostering a tech-savvy generation and enhancing economic competitiveness. The post China unveils plan to integrate AI into education system from kindergarten to lifelong learning appeared first on Crypto Briefing.