MagicHarbor

The limit of what artificial intelligence can achieve, known as frontier AI, has crossed another threshold. AI can now plan and execute sophisticated cyber operations with minimal guidance at speeds far beyond human capability. That, at least, is the evidence from an independent test of Claude Mythos Preview, the latest and most advanced model in the Claude family of AI systems, developed by US tech firm Anthropic. Similar to ChatGPT, these can understand and generate human-like text, analyse information, and solve complex problems. The finance sector is alarmed. It relies on highly interconnected digital systems that are especially attractive targets for sophisticated cyber-attacks. A successful breach could disrupt payments, freeze access to funds, and erode public trust in the banking system. Major UK and US banks are preparing controlled trials under strict safeguards. They will be granted secure, supervised access to the Mythos Preview model in isolated environments, to eval...

Have you been seeing all the tweets, posts, and noise about OpenClaw, formerly Moltbot and Clawdbot? It feels like it appeared everywhere at once. Per Dark Reading, in less than a week, the project exploded to over 100,000 GitHub stars , making it one of the fastest rise times for an open-source AI project. OpenClaw is not just an AI Agent. It is an execution engine. OpenClaw is an AI designed to take action on a user’s behalf. It can send emails, manage calendars, trigger workflows and operate across devices from inside chat interfaces. It works across messaging apps, and is governed by rules set by the user, not the platform. Cloudflare reacting to the popularity of OpenClaw, formerly Moltbot, formerly Clawdbot on X. Sandy Carter And yes, its rise has already had a real world impact. It reportedly drove a spike in Apple purchases and prompted Cloudflare to introduce sandboxed, family safe ways to run OpenClaw. Execution is the distinction matters. In crypto and Web3, the...

At Isomorphic, Nobel Prize-winner Demis Hassabis is building AI models designed to speed up drug discovery and bring medicines to market faster. As an 8-year old, Demis Hassabis could just barely see the stars. The astonishingly prodigious child of bohemian parents, Hassabis grew up in North London in the 1980s. And through the city haze, every now and again, Hassabis could see one constellation—Orion, named for Greek mythology’s formidable hunter and for centuries a guide to sailors and farmers. Some 40 years later, it remains Hassabis’s favorite constellation, in part for its connection to the immortal: Even the ancient Egyptians venerated Orion. “First of all, it’s a bit random, these patterns of stars all lined up, as we look up from Earth,” Hassabis says. “And secondly, think about Orion’s Belt: It’s three stars that are just randomly configured. But they mean something because we are using our consciousness to interpret it.” Hassabis and I are meeting not far from where ...

In an exclusive interview, the AI pioneer shares his plans for his new Paris-based company, AMI Labs. Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world. He believes that the industry’s current obsession with large language models is wrong-headed and will ultimately fail to solve many pressing problems. Instead, he thinks we should be betting on world models—a different type of AI that accurately reflects the dynamics of the real world. He is also a staunch advocate for open-source AI and criticizes the closed approach of frontier labs like OpenAI and Anthropic. Perhaps it’s no surprise, then, that he recently left Meta, where he had served as chief scientist for FAIR (Fundamental AI Research), the company's influential research lab that he founded. Meta has struggled to gain much traction with its open-source AI model Llama and has seen internal shake-ups, including the controversial acquisition of Scal...

Ilya Sutskever helped prove that scale works in AI. Now he says it doesn't—and his $3 billion company is betting the future belongs to researchers with ideas, not labs with the biggest GPU clusters. The industry isn't ready for this argument. Ilya Sutskever thinks everyone is doing AI wrong. Not just slightly wrong. Fundamentally, paradigmatically wrong. In a recent interview with Dwarkesh Patel, the co-founder of Safe Superintelligence (SSI) and former OpenAI chief scientist laid out a thesis that should unsettle every frontier lab executive currently signing billion-dollar compute contracts. The age of scaling, he argues, has ended. What comes next requires something the industry has largely abandoned: actual research. "We got to the point where we are in a world where there are more companies than ideas," Sutskever observed. "By quite a bit." The statement lands differently coming from him. This is the researcher who co-authored AlexNet, helped b...