Author: Admin
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The Barriers to Artificial General Intelligence — and When They May Be Overcome
Artificial intelligence has progressed so rapidly during the 2020s that the question of artificial general intelligence has shifted from the margins of computer science into mainstream technological debate. Only a few years ago, artificial general intelligence — usually abbreviated to AGI — was largely hypothetical. Today, leading AI laboratories explicitly discuss AGI as an engineering… Read more
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AI Safety in Late 2026: The Slowdown Debate Goes Mainstream
For years, AI safety was a specialist concern. In the past month it has become front-page news, and the question has shifted from whether advanced AI poses serious risks to whether the industry should deliberately slow down. The slowdown call. The catalyst was a resignation. Anthropic researcher Jacob Coxon left the company with a stark… Read more
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Law in the Age of Artificial Intelligence: How Machines Are Rewriting the Rules That Govern Us – A timely and accessible examination of AI’s impact on law
Law in the Age of Artificial Intelligence: How Machines Are Rewriting the Rules That Govern Us examines one of the most important questions facing the legal profession: how rapidly advancing artificial intelligence will change not only legal practice, but the rules and institutions that govern society. The book is described as an exploration of how… Read more
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Continuous Learning in Artificial Intelligence: From Static Models to Adaptive Systems
Artificial intelligence has advanced rapidly over the past decade, but most modern AI systems share a fundamental limitation: once they have been trained and deployed, their underlying knowledge and behaviour remain largely fixed. A language model may be extraordinarily capable, yet it normally does not permanently learn from every conversation. A vision system may recognise… Read more
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China’s Humanoid Robotics AI Ecosystem: Embodied AI, Manufacturing Scale and Safety Risk
China’s humanoid robotics boom is best understood as the meeting point of three forces: artificial intelligence, industrial policy and manufacturing depth. Humanoid robots are not simply another category of gadget. They are an attempt to turn AI into labour: a physical layer that can perceive the world, move through human-designed spaces, manipulate objects and eventually… Read more
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The White House AI Accord: A Safety Analysis of Voluntary Self-Policing
Published 30 September 2026. This article analyses the White House Accord on Super Intelligence signed at the White House on 29 September 2026 by President Donald Trump and executives from leading AI companies. It is general AI governance commentary, not legal advice. The White House AI accord is important less because it solves frontier AI… Read more
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Director Liability for Decisions Made by AI
This article is general information, not legal advice. Director liability depends on the jurisdiction, company, decision, evidence, governing documents and surrounding facts. Artificial intelligence will not make directors disappear. It will make their oversight duties harder. As companies begin using AI systems to screen customers, recommend prices, approve transactions, prioritise safety risks, assess employees, draft… Read more
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How Language Models Are Few-Shot Learners Changed Artificial Intelligence
In 2020, a research team led by Tom Brown published Language Models Are Few-Shot Learners, the paper that introduced GPT-3. Its headline figure was astonishing: 175 billion parameters, more than ten times the size of the largest previously published non-sparse language model, according to the authors. Yet size alone was not the paper’s most consequential… Read more
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NVIDIA Open Agent Safety Platform: What It Means for Safe AI Agents
AI agents are moving from chat interfaces into systems that can write code, use tools, query databases, call APIs, operate software and pursue tasks over long periods of time. That shift changes the safety problem. A chatbot can say the wrong thing; an agent can do the wrong thing. It can delete a file, leak… Read more
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How Cybersecurity Will Have to Develop in the Age of AI
Cybersecurity has always changed when computing changes. The internet changed the perimeter. Cloud computing changed infrastructure. Mobile devices changed identity and endpoint security. Software-as-a-service changed supply chains. Artificial intelligence will force another major shift, because it changes both the tools defenders use and the capabilities available to attackers. The mistake is to think of AI… Read more
