MagicHarbor

AI Angels: When Programs Start Fighting Programs By Dmitrii Bogoslovskii, Daniel Karnaukh (PhD) Introduction In July 2026, an OpenAI experiment to evaluate the cyber capabilities of AI agents ended with a real breach of Hugging Face's infrastructure [1] . The experiment was run in an interactive environment called ExploitGym : an agent is given vulnerable software and must find a way to exploit the vulnerability to obtain a "flag." For some of the tasks, no known solution exists. The goal of the experiment was to assess whether models are capable of independently planning and carrying out complex attacks — that is, whether they reach the upper threshold of cyber capability on OpenAI's internal risk scale. On July 8, 2026, OpenAI launched tens of thousands of isolated agents based on several models, including the commercial GPT-5.6 Sol and an unpublished internal model (referred to in the METR report as HPIM — highly persistent internal model; a...

Despite the endless headlines and corporate marketing narratives surrounding artificial intelligence, reliable data on how everyday professionals actually use these tools remains surprisingly limited. To cut through the noise, We are conducting an independent research study to map out real-world AI habits. Whether you are an active power-user or someone who rarely touches generative AI, your experience is vital to this research. Survey link: https://tally.so/r/yPzXZ8   🔍 What This Study Explores This research focuses on the real-world mechanics of AI integration rather than marketing anecdotes. We are looking closely at: Adoption Patterns : When and how often you engage with large language models. Real Pain Points : The exact factors limiting your usage, from hallucinations to workflow integration issues. Spending & Pricing : Subscription fatigue, monthly budgets, and how you would respond to price hikes. Future Expectations : Where you realistically see AI impacting your wo...

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 ...