Doctors at the University of Washington in Seattle replicated a man's search for medical information using artificial intelligence-powered chatbot ChatGPT, but obtained incorrect advice. The case highlights concerns that AI can lead to preventable adverse health outcomes due to its potential to generate scientific inaccuracies and spread misinformation.
The US government's cybersecurity agency CISA has been severely impacted by the departure of hundreds of employees from Elon Musk's Department of Government Efficiency (DOGE), exacerbating the already shallow talent pool for AI-specific cybersecurity. This shortage, combined with the growing adoption of Bring Your Own Device (BYOD) policies in 82% of US companies, complicates cybersecurity efforts and erodes trust in AI-powered solutions. As a result, human Chief Information Security Officers (CISOs) are hesitant to implement AI-based cybersecurity measures, fearing they may not be effective against emerging threats created by AI platforms like DeepSeek, ultimately hindering the adoption of AI-driven safeguards.
Elon Musk is suspected of modifying the system prompt for Grok, an AI-powered chatbot, leading to an unsolicited response. The incident highlights concerns over misinformation spread through AI-powered chatbots like Grok, which are increasingly being used by users seeking reliable information. Grok has faced multiple accusations of misinformation, including misidentifying war-related images and inserting antisemitic comments into answers. The company apologized for the behavior, linking it to an
Organizations must acknowledge the risks of AI before embracing its potential for better working methods and higher performance in a secure environment. To achieve this, decision makers should create a controlled, balanced setting that allows for the organic trial of new processes with AI while prioritizing essential security factors within a zero-trust architecture.
The rise of technology in mental health has both benefits and drawbacks. On one hand, AI-powered applications offer self-care tools, emotional support groups, and online resources that provide instant access to assistance. However, these platforms also raise concerns about data breaches, exploitation of private information, and the potential for algorithm-driven comparison and information overload. The lack of human connection in digital applications can lead to a performative lifestyle that impairs mental health. To address this, it's essential to have an initial face-to-face counselling session and maintain continuity with the same counsellor or psychologist for better symptom management. Gen Z must be aware of their mental state, accept the need for help, and acknowledge the limits of technology. By combining AI tools with professional counselling, individuals can address both surface-level and deeper emotional challenges, paving the way for long-term resilience and well-being.
The development of agentic AI requires three key components: live data access, shared memory, and auditability and trust. This is not just a technological challenge but an architectural one that will define the next wave of AI leaders. Companies must move beyond traditional models to create living, dynamic intelligence networks that are contextual, composable, and accountable, as exemplified by McKinsey's concept of the Agentic Mesh.
NIIT Learning Systems Limited (NIIT MTS) is partnering with Sana to establish a Center of Excellence that will deliver comprehensive professional services for Sana Learn, an AI-native learning platform. The partnership aims to maximize value from the platform through six core service areas: strategic consulting, implementation, learning experience design, technical consulting and support, learning administration services, and engineering services. Josh Bersin, Global Industry Analyst, and Sailesh Lalla, Chief Business Officer at NIIT MTS, have expressed excitement about the collaboration, highlighting its potential to create agile, personalized, and high-impact learning experiences. The partnership is expected to empower progressive Learning & Development (L&D) leaders to harness AI for more effective and inspiring learning experiences.
Perko and Milton aim to develop AI solutions for media planning and buying by automating processes, reducing QA time from eight hours to two minutes. Their goal is to empower planners, buyers, and supervisors with tools that will become fully autonomous within a year or two, alleviating the manual workload associated with certain aspects of the process.
Rumble is set to acquire Northern Data's data center business, Ardent, and GPU-as-a-service business, Taiga, in a deal valued at $1.17 billion. The acquisition would transform Rumble into a global AI cloud leader, with Tether becoming its largest shareholder after the purchase. As part of the deal, Tether will also become a customer of Rumble's platform. The companies aim to "democratize computing" and provide unfettered access to infrastructure, with Tether investing $775 million in Rumble in December 2024.