Rumble soars 14% after $270M AI cloud deal announcement

When Quilty hit the industry trades earlier this year, the AI startup promised that its tool could accurately predict a film's success just by reading the script. When people actually got a chance to experiment with Quilty's product, though, they were left skeptical. Even with all the available data in the world, it predicted the script for Christy, which would go on to be a box office flop, would outperform the script for Sinners, which became an Oscar-winning blockbuster. As many AI execs have pitched before, Quilty's founders believe that can help "democratize" their industry by giving up-and-coming creatives access to assistive tools - … Read the full story at The Verge.

Nvidia's AI-driven growth reshapes tech industry dynamics, challenging competitors and solidifying its influence over the AI ecosystem. The post Nvidia leads net income growth among major tech firms at 2,900% appeared first on Crypto Briefing.

AI-driven accessibility to blockchain data enhances transparency and compliance, crucial for stablecoin regulation and market participant engagement. The post TRON enables natural language queries for stablecoin data via Dune MCP appeared first on Crypto Briefing.

The brokerage, investing and financial advisory arm of Wells Fargo is highlighting one market sector that could benefit immensely from growing investments in artificial intelligence (AI) and data centers. Wells Fargo Advisors says that the current stock market performance is being driven by investments in artificial intelligence (AI) and data centers. According to Wells Fargo […] The post Wells Fargo Says AI and Data Centers ‘Increasingly Driving Stock Market Performance,’ Predicts This Sector Will See the Greatest Benefit appeared first on The Daily Hodl.

AI could soon lead to systems capable of improving their own performance faster than humans can effectively supervise them, reviving concerns about the industry’s longstanding “alignment problem,” ensuring AI systems reliably pursue human goals, senior Anthropic researchers have warned in a new blog post titled “When AI builds itself.” Anthropic Institute lead Marina Favaro and Anthropic co-founder Jack Clark outlined three possible futures: growth in AI capabilities may flatten out; AI efficiency gains may continue to grow, but expose bottlenecks elsewhere in software development; or AI systems may become capable of full recursive self-improvement, and build their successors by themselves. It’s that third scenario that’s prompting them to suggest society be ready to hit the brakes on AI development. “How the alignment problem gets solved — or not — in this future is something we are least certain about,” they wrote. Advanced, self-improving models could follow our needs and wants — or

Anthropic's potential IPO highlights the escalating financial demands of AI development, signaling a shift towards public funding for tech innovation. The post Anthropic co-founder says soaring AI costs are pushing the company toward an IPO appeared first on Crypto Briefing.

A film about Iran's protest movement is making cinema history. "Dreams of Violets" is the first fully AI-generated feature film ever selected by a major international film festival. The 75-minute drama will premiere at New York's Tribeca Festival next week. Created by Iranian-British director Ash Koosha from his home in London, the film took just three months to produce and cost less than 2,000 euros. There were no actors, no cameras, no sets and no film crew. Koosha says the film simply could not have been made through conventional means. Living in exile and unable to safely film inside Iran, he turned to AI to recreate events linked to the country's deadly crackdown on anti-government protesters. The film is based on journalistic reports, photographs and eyewitness accounts, and explores themes of memory, censorship and resistance. But as Tribeca becomes the first major festival to embrace a fully AI-generated feature, the film is also reigniting a fierce debate. Can artificial intel

Boards want AI roadmaps. Competitors are shipping AI features. And 74% of companies still can't make it pay. This piece breaks down the eight-point framework that separates disciplined AI adoption from expensive noise.