No, AI isn't stealing your tech job - it's just transforming it
发布日期:2025-09-30
Few roles are at risk of total replacement by AI, but change is still happening fast, and hybrid skill sets are the new norm.
发布日期:2025-09-30
Few roles are at risk of total replacement by AI, but change is still happening fast, and hybrid skill sets are the new norm.
发布日期:2025-09-29
Available for Microsoft 365 Copilot users, the new agents will help you create, edit, and analyze your documents, spreadsheets, and presentations.
发布日期:2025-09-29
Open-source AI development took centre stage at Huawei Connect 2025 last week, with Huawei laying out implementation timelines and the technical specifics around making its entire AI software stack publicly available by year-end. The announcements came with context that matters to developers: frank acknowledgement of past friction, specific commitments about what components will be released, […] The post Huawei details open-source AI development roadmap at Huawei Connect 2025 appeared first on AI News.
发布日期:2025-09-26
Researchers have developed a new attack that reveals privacy vulnerabilities by determining whether your data was used to train AI models. The method, named CAMIA (Context-Aware Membership Inference Attack), was developed by researchers from Brave and the National University of Singapore and is far more effective than previous attempts at probing the ‘memory’ of AI […] The post CAMIA privacy attack reveals what AI models memorise appeared first on AI News.
发布日期:2025-09-25
Samsung is overcoming limitations of existing benchmarks to better assess the real-world productivity of AI models in enterprise settings. The new system, developed by Samsung Research and named TRUEBench, aims to address the growing disparity between theoretical AI performance and its actual utility in the workplace. As businesses worldwide accelerate their adoption of large language […] The post Samsung benchmarks real productivity of enterprise AI models appeared first on AI News.
发布日期:2025-09-25
Imagine connecting thousands of powerful AI chips scattered in dozens of server cabinets and making them work together as if they were a single, massive computer. That is exactly what Huawei demonstrated at HUAWEI CONNECT 2025, where the company unveiled a breakthrough in AI infrastructure architecture that could reshape how the world builds and scales […] The post Inside Huawei’s plan to make thousands of AI chips think like one computer appeared first on AI News.
发布日期:2025-09-24
The retail industry is among the leaders in generative AI adoption, but a new report highlights the security costs that accompany it. According to cybersecurity firm Netskope, the retail sector has all but universally adopted the technology, with 95% of organisations now using generative AI applications. That’s a huge jump from 73% just a year […] The post Generative AI in retail: Adoption comes at high security cost appeared first on AI News.
发布日期:2025-09-24
OpenAI and Nvidia have signed a letter of intent for a $100B partnership that could reshape how AI systems are trained and deployed. The plan calls for at least 10 gigawatts of Nvidia hardware to support OpenAI’s next-generation AI infrastructure, which will train and run future models aimed at superintelligence. To support the rollout, Nvidia […] The post OpenAI and Nvidia plan $100B chip deal for AI future appeared first on AI News.
发布日期:2025-09-24
Author: Rodrigo Coutinho, Co-Founder and AI Product Manager at OutSystems AI has moved beyond pilot projects and future promises. Today, it’s embedded in industries, with more than three-quarters of organisations (78%) now using AI in at least one business function. The next leap, however, is agentic AI: systems that don’t just provide insights or automate […] The post Governing the age of agentic AI: Balancing autonomy and accountability appeared first on AI News.
发布日期:2025-09-24
How AI models could manipulate, misuse, and even build systems humans can't understand.
What is Canvas Builders Program?
The Canvas Builders Program is a 2-week, YC-style, invite-only, and mentor-led sprint designed to transform rough AI concepts into live, production-ready agents. It offers hands-on guidance, live build hours, and a crash course on LLMs, frameworks, and essential building blocks. The program aims to help participants overcome common challenges like unclear vision, technical paralysis, the production gap, and feedback vacuum, guiding them from idea formulation to building, shipping, and continuously improving their AI agents.
How to use Canvas Builders Program?
To join the Canvas Builders Program, applicants must first drop their use-case idea for an AI agent. The team reviews submissions within 48 hours, and selected builders receive an invite. To secure a spot, invited participants pay $50, which provides equivalent credits to cover their AI agent build cost during the sprint.
Canvas Builders Program's Core Features
2-week, YC-style sprint for AI agent development
Mentor-led, hands-on building experience
Comprehensive crash course on LLMs, RAG, Tool Calling, and Agentic design patterns
Battle-tested framework for formulating AI objectives
Instant deployment of built agents on Canvas
Continuous improvement guidance based on usage
Lifetime access to recordings, templates, and private Slack for graduates
Monthly 'Office Hours' for alumni support and troubleshooting
Canvas Builders Program's Use Cases
#1
Building multilingual customer support bots for platforms like WhatsApp.
#2
Reimagining investment applications with Generative AI.
#3
Developing multi-agent systems to transform how decision-makers access intelligence.
#4
Creating production-ready AI agents from initial concepts.
FAQ from Canvas Builders Program
Do I need coding or AI experience to join?
What happens after the sprint—am I on my own?
My use-case is pretty gnarly—what if I can’t finish in 14 days?
What concrete skills will I walk away with?