New York State is significantly expanding its custom artificial intelligence tool, AI Pro, making it available to all 100,000 state employees. This follows a highly successful pilot program where 75% of users reported saving time and 90% felt their understanding of AI improved. The state aims to lead in responsible AI use and upskill its workforce, providing a two-part training program. During the pilot, employees generated 170,000 AI prompts, with many having no prior generative AI experience but seeing a 36% increase in confidence. This initiative positions New York as the largest state to offer such a tool to its entire workforce, helping employees with tasks like drafting summaries and translating complex topics.
Beyond state government, AI's impact is being felt across various sectors, from urban development to national defense and local security. Samson Hu, co-CEO of ASUS, predicts AI will fundamentally transform how cities operate, a topic discussed at the Smart City Summit and Expo 2026 in Taipei, highlighting Taiwan's role in smart city innovations. Meanwhile, Arthur Mensch, CEO of AI company Mistral, stresses the critical need for Europe to develop its own AI capabilities for defense, warning that reliance on foreign AI could leave militaries vulnerable. This emphasis on sovereignty comes as AI's role in modern warfare is being examined, with reports suggesting Gaza may be a testing ground for AI-driven targeting and surveillance systems.
Locally, communities are grappling with AI's implications. Residents in Toronto's Rosedale neighborhood are considering a private AI-powered license plate-scanning system, Flock, to combat rising property crime, despite concerns about AI bias and surveillance. In Newton, City Council members debated using AI for meeting transcripts to improve transparency, while also acknowledging security issues like "Zoom bombings" during public meetings. These discussions highlight the balance between leveraging AI for public good and addressing privacy and security risks.
Security remains a major concern, as evidenced by a severe vulnerability (CVE-2025-59528) in the open-source AI platform Flowise, actively exploited to allow remote code execution and potential data theft across over 12,000 exposed instances. Flowise addressed this in version 3.0.6. On a more positive note for sustainability, decentralized AI training is emerging as an energy-efficient method, distributing model training across independent nodes, including home computers, to reduce reliance on large data centers. Furthermore, AI has played a key role in a quantum computing breakthrough, accelerating the development of quantum computers capable of breaking current encryption, prompting Cloudflare to accelerate its preparation deadline to 2029, as the world is deemed unprepared for this advancement.
Bridgewater State University's Center for Artificial Intelligence is actively preparing students for the evolving job market by teaching human-centered and ethical AI use. Opened last summer, the center guides students across various fields, including computer science, education, and healthcare. Professor Dr. Anne Hird emphasizes AI's crucial role in education, ensuring future teachers can integrate AI into assignments, while students like Muhammed Yosef and Sam Oo have leveraged the center's resources for internships and career exploration.
Key Takeaways
- New York State is rolling out its AI Pro tool to all 100,000 state employees after a pilot showed 75% saved time and 90% improved AI understanding.
- Samson Hu, co-CEO of ASUS, believes AI will fundamentally transform cities, a key topic at the Smart City Summit and Expo 2026.
- Arthur Mensch, CEO of Mistral, advocates for Europe to develop its own AI for defense to avoid vulnerability and ensure technological sovereignty.
- A critical security flaw (CVE-2025-59528, CVSS 10.0) in the open-source Flowise AI platform is being actively exploited, affecting over 12,000 instances.
- AI played a crucial role in a quantum computing breakthrough that could accelerate the development of encryption-breaking quantum computers, prompting Cloudflare to prepare by 2029.
- Toronto's Rosedale neighborhood is considering a private AI-powered license plate-scanning system, Flock, to address rising property crime, raising privacy concerns.
- Newton City Council is exploring AI for generating meeting transcripts to enhance transparency, while also addressing Zoom security issues.
- Bridgewater State University's Center for Artificial Intelligence is training students in human-centered and ethical AI for future job market demands across various fields.
- Decentralized AI training, utilizing independent nodes like home computers, is emerging as a more energy-efficient and sustainable method for model training.
- AI's application in modern warfare, including targeting and surveillance, is being examined, with reports suggesting Gaza as a testing ground.
New York expands AI tool to all state employees
New York is making its custom artificial intelligence tool, AI Pro, available to all 100,000 state employees. This follows a successful pilot program where 75% of users saved time and 90% felt their understanding of AI improved. The state aims to lead in responsible AI use and upskill its workforce. A two-part training program will teach employees how to use AI responsibly. This expansion makes New York the largest state to offer such a tool to its entire workforce.
NYS trains over 100,000 staff on AI after pilot success
New York is expanding its AI training program, AI Pro, to over 100,000 state employees after a successful pilot. The program saw 170,000 AI prompts generated and 90% of participants reported increased understanding of AI. Many users had no prior experience with generative AI but saw a 36% increase in confidence. The tool helped employees save time on tasks like drafting summaries and translating complex topics.
Toronto neighbourhood debates AI surveillance for crime
Residents in Toronto's Rosedale neighbourhood are considering a private AI-powered license plate-scanning system called Flock to combat rising property crime. This plan aims to create a 'virtual gated community' in a neighborhood with crime rates double the city's average. While some residents support the idea due to safety concerns, others worry about AI bias and increased surveillance. The system would work alongside existing security guards, with police accessing data only under legal authorization.
Bridgewater State University trains students in AI for future jobs
Bridgewater State University's Center for Artificial Intelligence is preparing students for the evolving job market by teaching them human-centered and ethical AI use. The center, opened last summer, guides students across various fields like computer science, education, and healthcare. Professor Dr. Anne Hird emphasizes AI's critical role in education, preparing future teachers to integrate AI into assignments. Students like Muhammed Yosef and Sam Oo have used the center's resources to gain internships and explore new career paths.
Newton Council discusses Zoom security and AI meeting transcripts
Newton City Council members debated the security of using Zoom for public meetings, acknowledging the issue of 'Zoom bombings' but valuing the open format. They also discussed the use of AI for generating transcripts or summary notes of meetings to better inform residents. Some councilors expressed concerns about capturing the tone and context accurately, while others suggested compromises like timestamped notes. The goal is to improve transparency and accessibility of council proceedings for the community.
Critical Flowise AI flaw allows remote code execution
A severe security vulnerability, CVE-2025-59528 with a CVSS score of 10.0, is being actively exploited in the open-source AI platform Flowise. This flaw allows threat actors to execute arbitrary code on the Flowise server, potentially leading to full system compromise and data theft. The vulnerability affects over 12,000 exposed instances. Flowise addressed the issue in version 3.0.6, but the active exploitation highlights a significant risk to businesses using the platform.
ASUS CEO: AI will transform cities
Samson Hu, co-CEO of ASUS, believes artificial intelligence will fundamentally change how cities operate. Speaking at the Smart City Summit and Expo 2026 in Taipei, Hu discussed the transformative potential of AI in urban environments. He also highlighted Taiwan's significant role in advancing smart city innovations. The discussion focused on the future integration of AI into city infrastructure and services.
AI's role in targeting Palestinians examined
This report explores the use of artificial intelligence in modern warfare, specifically focusing on its application in the conflict involving Palestinians. Reports suggest Gaza may be a testing ground for AI-driven targeting and surveillance systems. The program features guests discussing the implications of these technologies for those living under threat and how they might shape the future of warfare. It examines emerging military tech and how Palestinians are using technology to their advantage.
Europe must control AI for defense says Mistral CEO
Arthur Mensch, CEO of AI company Mistral, urged Europe to develop its own artificial intelligence capabilities for defense purposes. He warned that relying on foreign AI could leave European militaries vulnerable to being shut down by adversaries. Mensch emphasized that AI is crucial for modern armies, comparing its importance to nuclear weapons. He called for European technological sovereignty to avoid geopolitical risks and supply chain disruptions, especially given current global conflicts.
Decentralized AI training uses homes for energy efficiency
Decentralized AI training is emerging as a more energy-efficient method by distributing model training across many independent nodes, including home computers. This approach pools processing power and allows training to occur where energy is readily available, reducing reliance on large data centers. Companies are developing software and hardware solutions to manage this distributed training, aiming to lower costs and improve fault tolerance. This method offers a sustainable way to train AI models, moving computation to where energy exists.
AI speeds quantum computing breakthrough; world unprepared
Artificial intelligence played a key role in a significant quantum computing breakthrough, potentially accelerating the development of quantum computers capable of breaking current encryption. Researchers used AI to develop a new algorithm that drastically reduces the number of atoms needed for a qubit. Cybersecurity experts warn the world is not prepared for this advancement, as it could compromise internet security. Cloudflare is accelerating its deadline to prepare for quantum computers to 2029.
Sources
- New York scales up AI tool, training resources to entire state government
- After Pilot, NYS Expands Staff AI Training to Over 100,000
- Row over ‘virtual gated community’ AI surveillance plan in Toronto neighbourhood
- Bridgewater State's Center for Artificial Intelligence prepares students for changing workforce
- Newton City Council Chairs Talk Zoom Security, AI Transcripts in Public Meetings
- Flowise AI Agent Builder Under Active CVSS 10.0 RCE Exploitation; 12,000+ Instances Exposed
- AI will redefine how cities operate, says tech chief
- How AI is being used to target Palestinians
- Europe needs to control AI for defense, top industry exec says
- Decentralized AI Training Turns Homes Into Data Hubs
- AI Helped Spark a Quantum Breakthrough. The World 'Is Not Prepared'
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