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Open AI breaks ranks with Tech Council of Australia over heated copyright issue

The Guardian

Chief global affairs officer of company behind ChatGPT tells Sydney audience'we are going to be in Australia, one way or the other' Fri 17 Oct 2025 03.33 EDTLast modified on Fri 17 Oct 2025 03.35 EDT "No we are going to be in Australia, one way or the other." And now the internet claims many people don't even care. What is going on?! | First Dog on the Moon "We will engage in either country - we will find ways to work with those who want to build up big frontier models and have robust ecosystems, or those who just want to have much more narrowly defined AI," he said. "We will work with them under either scenario, regardless." "This is the nature of how technology works. Innovations come along, and then societies adapt to those innovations," he said.


Why is it seemingly impossible to stop phone thieves?

New Scientist

Even if you have never had your smartphone stolen, you probably know someone who has. In London, 80,000 phones were stolen last year alone. And as victims of phone theft know, while the loss of a pricey gadget can sting, the dreary administrative slog in replacing a device that runs your entire life can, in some ways, be worse. So why can't we stop phone thieves – and is there a better way to protect your personal data? The answer is partly down to the numerous ways that criminals profit from stolen phones, but it is also about technology firms prioritising usability over security and international governments failing to arrive at a global solution.


The Enhancement of Software Delivery Performance through Enterprise DevSecOps and Generative Artificial Intelligence in Chinese Technology Firms

Cui, Jun

arXiv.org Artificial Intelligence

This study investigates the impact of integrating DevSecOps and Generative Artificial Intelligence (GAI) on software delivery performance within technology firms. Utilizing a qualitative research methodology, the research involved semi-structured interviews with industry practitioners and analysis of case studies from organizations that have successfully implemented these methodologies. The findings reveal significant enhancements in research and development (R&D) efficiency, improved source code management, and heightened software quality and security. The integration of GAI facilitated automation of coding tasks and predictive analytics, while DevSecOps ensured that security measures were embedded throughout the development lifecycle. Despite the promising results, the study identifies gaps related to the generalizability of the findings due to the limited sample size and the qualitative nature of the research. This paper contributes valuable insights into the practical implementation of DevSecOps and GAI, highlighting their potential to transform software delivery processes in technology firms. Future research directions include quantitative assessments of the impact on specific business outcomes and comparative studies across different industries.


Why embedding AI ethics and principles into your organization is critical

#artificialintelligence

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! As technology progresses, business leaders understand the need to adopt enterprise solutions leveraging Artificial Intelligence (AI). However, there's understandable hesitancy due to implications around the ethics of this technology -- is AI inherently biased, racist, or sexist? And what impact could this have on my business?


Top 8 AR & VR Companies Making a Breakthrough in 2022

#artificialintelligence

While much Big Tech XR is still rumor and hype, smaller firms have made significant inventive breakthroughs toward useful and entertaining computing. Applied VR and others are creating virtual reality experiences that have a significant impact on an increasing range of mental health conditions. Here are the top 8 AR & VR companies for the year 2022. Google Maps now displays augmented reality place labels and directions on your phone to assist you in navigating complicated interior areas such as subway stations, airports, and retail malls. Google claims that it employs AI to analyze millions of images in order to determine the user's viewpoint position for the Live View function.


Funding and Investments: Top 10 Data Science Venture Capital Investors in 2022

#artificialintelligence

Powered by specialized software and real-time analytics systems, big data, data science, and data analytics caters to numerous benefits for companies worldwide. Thus, the demand for big data firms has been increasing exponentially. There are various emerging AI and data science startups that are raising funds. Once a startup has reached its growth stage, its most important requirement is undoubtedly the backing of reliable venture capital investors and an ample amount of funding to scale up. Though the concept of starting up has gained momentum recently, the small number of investors willing to show their trust and invest in new ventures has been a problem for startups.


Top 10 VC Investors in the AI Tech Space Right Now

#artificialintelligence

By number of investments, US-based companies outnumbered the top ten VC (venture capital) investors in the artificial intelligence (AI) space in 2020. According to GlobalData, a leading data and analytics company, Sequoia Capital topped the list, having participated in 52 VC funding rounds. Sequoia Capital is a technology-focused venture capital company based in the United States. It invests in both public and private firms. The company focuses in private company incubation, seed stage, startup stage, early stage, and growth stage investments.


Forward Investments Backs Nozomi Networks

#artificialintelligence

Dubai-based Forward Investments announced it has invested in Nozomi Networks, a global market leader in Operational Technology (OT) and Internet of Things (IoT) security, headquartered in San Francisco, USA. This investment represents the strong relationship forged between the two entities and plays a role in fueling innovation in the delivery of Information Technology (IT), OT and IoT cybersecurity services to enterprises across the public and private sectors in the UAE and broader Middle East and North Africa (MENA) region. Nozomi Networks helps clients fulfill their vision to deliver digital utilities using autonomous systems for renewable energy, storage, and expansion in artificial intelligence (AI) adoption by providing digital services," said H.E. Saeed Al Tayer, Chairman of Forward Investments. "Given escalating cyber risks to ICS and control networks, advanced monitoring and threat detection systems play an increasingly critical role. It seems fitting that the pioneering investment for Forward Investments is with Nozomi Networks, itself a pioneer in securing the modernization of critical industrial infrastructure in the region and around the globe."


IDRBT

#artificialintelligence

AI strategy: banks need to have a clear vision on what AI is to achieve; how they want to integrate it within their organization; feasibility and impact of investments and possible consequences on their internal dynamics. Data management: invest in the creation and storage of a large amounts of data to train the AI algorithms. Dividends yielded by AI are related to the quality and the quantity of the data recorded or stored. Internal digitization: digitize processes and operations, promote a pro-technology culture, and familiarize their employees with emerging technologies. It is important to educate them AI will complement and enhance their work and not replace them.


Europe's Data Strategy

#artificialintelligence

Last month, the EU took steps to flesh out their emerging digital strategy with the release of two white papers, one on AI regulation, and the other on a European data strategy. In a previous post, we looked at the EU's plans for AI regulation, and the lessons the U.S. should be taking from their approach. In this post, we turn to the EU's data strategy, which lays out an action plan for the EU as it works to take advantage on the opportunities presented by the data economy. Most of the proposals included in the EU's white paper stick close to what are by now familiar themes for government digital strategies: the opening of high-value public datasets for private use, investment in building digital skills among individuals and SMEs, the promotion of new technical standards to improve interoperability, and the strengthening of governance mechanisms to facilitate the flow of data across and within sectors. But two of the strategy's goals reveal more ambitious plans by the EU.