Author: lethuphuong

📌 AI đang làm thay đổi quy trình lập pháp của Mỹ theo hướng vừa tăng tốc vừa gia tăng rủi ro. Các chuyên gia đều đồng ý AI có thể hỗ trợ nghiên cứu và xử lý thông tin, nhưng việc soạn thảo luật vẫn đòi hỏi kiến thức pháp lý, khả năng lựa chọn ngôn ngữ chính xác và hiểu rõ mục tiêu chính sách. Thách thức hiện nay không chỉ là chất lượng của AI mà còn là việc AI giúp tạo ra quá nhiều dự thảo, khiến cơ quan chịu trách nhiệm kiểm soát chất lượng…

📌 A new trend in digital art as AI image generation becomes more prevalent. Instead of pursuing absolute perfection, many artists are proactively reintroducing random elements, manual textures, and traces of the creative process to assert human identity. This trend is not about abandoning digital technology but about combining modern tools with characteristics that inherently create emotion and personality in traditional art.

📌 AI does not automatically create efficiency at the organizational level despite saving employees time. According to a survey of 6,000 digital workers, 75% feel increased productivity and save about 11 hours per week, but only 13% see their business operating better. The cause mainly lies in the costs of coordination, supervision, and post-AI error correction. To capture real value, businesses need to optimize entire workflows instead of just focusing on individual productivity or AI usage metrics.

📌 Bangladesh businesses are beginning to shift from chatbots to AI agents capable of performing work instead of humans. The first applications have appeared in customer care and video surveillance, with results such as reducing message-handling staff from 20 to 2 and automating many operational processes. However, widespread deployment will require businesses to build governance mechanisms, data security, and clearly define the liability limits of AI in critical activities.

📌 Europe is approaching AI with a more pragmatic mindset rather than one based purely on geopolitics. Chinese open-weight AI models are seen as attractive because they can be deployed on internal infrastructure, allowing businesses to maintain data control and optimize costs. However, adoption must still meet strict requirements regarding security, GDPR, and the EU AI Act, while many businesses choose a provider diversification strategy to avoid dependency on any single AI ecosystem.

📌 Research shows that Canada is expanding AI applications in the public sector but remains significantly dependent on US tech providers like Microsoft, OpenAI, and Google. Of more than 400 announced AI systems, most serve internal government operations. The authors suggest that Canada needs to increase investment in domestic technological capacity to reduce dependence, while enhancing transparency and control as AI increasingly participates in the operations of the state apparatus.

📌 Anthropic states that text watermarking is not intended to identify users but only helps assess the probability that Claude participated in creating or editing the content. This technology operates silently, does not affect the reading experience, and is based on Google DeepMind’s SynthID-Text method. It is part of the effort to meet the transparency requirements of the European AI Act, while paving the way for the identification of AI content on a large scale in the future.

📌 ChatGPT Memory is most effective when used as a workflow recorder rather than a storage for disconnected personal information. Regularly cleaning the memory, saving long-term priorities, managing projects, using Temporary Chat at the right time, and providing consistent feedback on response quality will help the AI adapt better. With just a few carefully selected memories, ChatGPT can become a significantly more consistent and efficient personal assistant.

📌 ChatGPT is leading the wave of AI adoption in the US Congress, not only in terms of spending but also in its presence within legislative activities. With approximately 88% of identified AI spending attributed to OpenAI, ChatGPT has become a tool for research, drafting, and constituent services. However, the data reflects only part of the reality as it excludes free accounts and Copilot. As Congress builds AI legislation, the competition between OpenAI, Anthropic, and other tech giants is unfolding right within the policymaking bodies.

📌 The Moscow court’s ruling shows a strict approach to copyright for generative AI content. Despite the user modifying many details on the Mona Lisa and the Statue of Liberty, the court held that the use of prompts and AI is a technical process, not human creation. This case may become a notable reference in future copyright disputes involving works created or edited by AI.