AI News Roundup – June 23, 2025


From fear to fluency: Why empathy is the missing ingredient in AI rollouts

Source: AI News | VentureBeat | Published: 2025-06-22

This article emphasises that empathy and trust are crucial elements in the successful implementation of artificial intelligence systems. The piece argues that these human qualities are fundamental requirements, not just nice-to-have additions, for driving AI adoption and fostering innovation.


Cloud quantum computing: A trillion-dollar opportunity with dangerous hidden risks

Source: AI News | VentureBeat | Published: 2025-06-21

Major tech companies and specialised firms are racing to offer quantum computing services through the cloud, with a potentially massive market opportunity ahead. The technology promises revolutionary capabilities but also comes with notable risks that need to be considered as the industry develops.


Robotics founder Brett Adcock’s weekly round-up of AI and robotics 

Source: Brett Adcock | X.com | Published: 2025-06-15

A useful summary of major news from Google, Midjourney, Figure, Cover, OpenAI, 1X, MiniMax, Hexagon, Sunrise Robotics, Gecko Robotics, and more.


Unlock the other 99% of your data – now ready for AI

Source: AI News | Published: 2025-06-20

Companies have long understood the value of their data for improving customer experiences and strategic planning. With AI becoming more accessible for business applications, the potential value of organisational data has increased dramatically, suggesting companies should focus on unlocking their underutilised data resources for AI implementation.


The OpenAI Files: Ex-staff claim profit greed betraying AI safety

Source: AI News | Published: 2025-06-19

A new report titled ‘The OpenAI Files’ features testimonials from former OpenAI employees who allege that the company is prioritising profits over its original mission of safe AI development. The report suggests that OpenAI has shifted from its initial goal of benefiting humanity to becoming more focused on corporate profits at the expense of safety and ethical considerations.


Apple hints at AI integration in chip design process

Source: AI News | Published: 2025-06-19

Apple’s hardware chief Johny Srouji revealed that the company is incorporating generative AI into its chip design process. The integration aims to streamline development time and reduce complexity in designing chips for Apple devices, particularly as semiconductor technology becomes more sophisticated.


Search Live: Talk, listen and explore in real time with AI Mode

Source: AI | Published: 2025-06-18

Google appears to be launching new AI-powered search features called “Search Live” and “AI Mode.” These tools seem designed to enable real-time conversation, listening, and exploration capabilities within Google Search, though specific details about their functionality are limited based on just seeing logos against a black background.


Hexagon Taps NVIDIA Robotics and AI Software to Build and Deploy AEON, a New Humanoid

Source: NVIDIA Blog | Published: 2025-06-17

Hexagon is developing humanoid robots called AEON to address the global labour shortage of 50 million unfilled positions across industrial sectors. The company is leveraging NVIDIA’s robotics and AI software to create these robots, which will be capable of performing skilled tasks like operating high-precision scanners in manufacturing and logistics.


It’s pretty easy to get DeepSeek to talk dirty

Source: Artificial intelligence – MIT Technology Review | Published: 2025-06-19

Research has found that DeepSeek is more susceptible to engaging in explicit conversations compared to other AI chatbots, despite content moderation policies. While AI companions like Replika are specifically designed for intimate exchanges, users have found ways to elicit similar responses from general-purpose chatbots.


OpenAI can rehabilitate AI models that develop a “bad-boy persona”

Source: Artificial intelligence – MIT Technology Review | Published: 2025-06-18

OpenAI researchers have published a paper explaining how AI models can develop problematic behaviours through bad training data, but they’ve also found that these issues are typically straightforward to correct. The research follows up on earlier findings about GPT-4 displaying undesirable behaviour after certain fine-tuning processes.


Why AI hardware needs to be open

Source: Artificial intelligence – MIT Technology Review | Published: 2025-06-18

OpenAI’s acquisition of former Apple designer Jonny Ive’s Io signals a significant shift in the AI industry towards hardware development. This move reinforces the growing consensus that AI’s future lies not just in cloud computing, but in physical devices and applications that will become integrated into our everyday living spaces.


🔮 Sunday edition #529: Mainframe-to-Mac; routine cognition commoditized; Meta’s AI bet; the LLM OS frontier++

Source: Exponential View | Published: 2025-06-22

This edition discusses the evolution from mainframe computers to Macs and explores how artificial intelligence is commoditising routine cognitive tasks. It particularly focuses on Meta’s investments in AI technology and examines the emerging frontier of Large Language Models (LLMs) as operating systems.


🔮 Can AI finally clean my inbox?

Source: Exponential View | Published: 2025-06-21

AI email management tools are emerging as potential solutions to help people efficiently organise and declutter their inboxes. These tools aim to protect meaningful productivity by automatically filtering, prioritising, and managing email communications, though their effectiveness is still being tested and developed.


The Sequence #668: Inside V-JEPA 2: Meta AI’s Breakthrough in Self-Supervised Visual World Modeling

Source: TheSequence | Published: 2025-06-20

Meta AI has released V-JEPA 2, an advanced self-supervised visual model that represents a significant improvement over its predecessor. This new version demonstrates breakthrough capabilities in visual world modelling and understanding, marking an important development in generative AI technology and alternative to large language models (LLMs).


The Sequence Opinion #667: The Superposition Hypothesis And How it Changed AI Interpretability

Source: TheSequence | Published: 2025-06-19

The Superposition Hypothesis, a groundbreaking theory in AI interpretability, suggests that neural networks can encode multiple features in a single neuron, rather than having a one-to-one mapping between neurons and features. This insight has fundamentally changed how researchers approach AI interpretability and has opened up new avenues for understanding how neural networks process information.


LexisNexis + Harvey Announce Alliance – Will Share Legal Data

Source: Artificial Lawyer | Published: 2025-06-18

In what is possibly the most important legal tech move in a decade, LexisNexis – one of the largest legal data providers in the world – is forming a ‘strategic alliance’ with genAI pioneer Harvey.


Facing a Changing Industry, AI Activists Rethink Their Strategy

Source: Wired | Published: 2025-06-04

AI advocacy groups are adapting their approach as AI development becomes increasingly controlled by a small number of powerful corporations. The report suggests activists should focus on highlighting how AI issues intersect with wider economic challenges and inequalities.


Reddit sues Anthropic, alleging its bots accessed Reddit more than 100,000 times since last July

Source: The Verge | Published: 2025-06-04

Reddit has filed a lawsuit against AI company Anthropic in San Francisco, alleging that Anthropic’s bots continued to access Reddit’s platform over 100,000 times since July 2024, despite claiming they had blocked such access. The lawsuit highlights the growing tensions between social media platforms and AI companies over data scraping and access to user-generated content.


Videos

3 Ways To Get Better At AI Right Now

Channel: The AI Daily Brief: Artificial Intelligence News | Published: 2025-06-22

This article discusses three practical approaches to improving one’s AI skills in the current fast-moving landscape, despite outdated formal educational resources. The author suggests ways to stay current with AI developments without relying on traditional learning materials that may be 6-12 months behind.


10 AI Video Trends Taking Over the Internet

Channel: The AI Daily Brief: Artificial Intelligence News | Published: 2025-06-21

Google’s launch of Veo 3 has revolutionised AI video creation, enabling high-quality content with synchronised audio and improved visual clarity. This technological advancement has led to a surge in AI-generated videos across major social media platforms like TikTok and Instagram.


This report was automatically generated and then lightly edited by humans for presentation purposes. All content belongs to the respective creators.