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Google has big hopes for AI, as evidenced by the consistent improvements to its Gemini chatbot in recent months. Google briefly introduced its vision for a “universal AI agent” aimed to help users with daily tasks at the I/O developer conference in May, hinting that elements of the technology could be incorporated into Gemini soon. […]

GitHub is marking a significant evolution of its developer tools with two major announcements: a multi-model upgrade to Copilot and the introduction of Spark, a natural language web development platform.  The code hosting giant is expanding Copilot beyond its OpenAI-only architecture to include Anthropic’s Claude 3.5 Sonnet and Google’s Gemini 1.5 Pro models while simultaneously

Anthropic has flagged the potential risks of AI systems and calls for well-structured regulation to avoid potential catastrophes. The organisation argues that targeted regulation is essential to harness AI’s benefits while mitigating its dangers. As AI systems evolve in capabilities such as mathematics, reasoning, and coding, their potential misuse in areas like cybersecurity or even

The Open Source Initiative (OSI) has unveiled a definition framework to evaluate whether AI systems can be classified as open-source. The announcement of the first Open Source AI Definition (OSAID) was made at All Things Open and marks the culmination of a comprehensive global effort spanning multiple years of research, international workshops, and a year-long

MIT researchers have developed a robot training method that reduces time and cost while improving adaptability to new tasks and environments. The approach – called Heterogeneous Pretrained Transformers (HPT) – combines vast amounts of diverse data from multiple sources into a unified system, effectively creating a shared language that generative AI models can process. This

President Biden has issued the US’ first-ever National Security Memorandum (NSM) on AI, addressing how the nation approaches the technology from a security perspective. The memorandum, which builds upon Biden’s earlier executive order on AI, is founded on the premise that cutting-edge AI developments will substantially impact national security and foreign policy in the immediate

Influencer partnerships can be great for brands looking to pump out content that promotes their products and services in an authentic way. These types of engagements can yield significant brand awareness and brand sentiment lift, but they can be risky too. Social media stars are unpredictable at the best of times, with many deliberately chasing

ByteDance, the creator of TikTok, recently experienced a security breach involving an intern who allegedly sabotaged AI model training. The incident, reported on WeChat, raised concerns about the company’s security protocols in its AI department. In response, ByteDance clarified that while the intern disrupted AI commercialisation efforts, no online operations or commercial projects were affected.

A comprehensive AI sector study – conducted by the Department for Science, Innovation and Technology (DSIT) in collaboration with Perspective Economics, Ipsos, and glass.ai – provides a detailed overview of the industry’s current state and its future prospects. In this article, we delve deeper into the key findings and implications—drawing on additional sources to enhance

Penguin Random House (PRH) has taken a significant step in response to rising concerns about the use of intellectual property to train AI systems. The publisher has introduced a new statement to the copyright pages of both new and reprinted books, stating, “No part of this book may be used or reproduced in any manner