Author: lethuha

Moonshot AI has just launched Kimi K3, an open-weight AI model with 2.8 trillion parameters, designed toward advanced AI capabilities with competitive performance and cost. Kimi K3 supports multimodal inputs, a context window of approximately 1 million tokens, and achieves several notable results in coding and Agent benchmarks. The model utilizes the Kimi Delta Attention (KDA) architecture, combining a linear attention mechanism with recurrent state and global attention to significantly reduce the required KV cache memory. According to the article, KDA helps accelerate long-context processing by retaining only crucial information instead of the entire history, while also incorporating the WideEP…

The article suggests that AI is not only changing how humans search for information but is also beginning to play a role in ethical and spiritual counseling, a domain traditionally held by religions for thousands of years. Millions of people now use AI chatbots to ask questions about morality, life values, and spiritual advice. Research by scientists Helen Zheng, Liane Young, and David DeSteno reveals that people with religious faith seek moral advice from AI more frequently than those who are less religious. Even after controlling for the general tendency to consult others on moral matters, this result remains unchanged.…

The article suggests that while AI boosts productivity, overusing it can impair learning, thinking, and workplace collaboration skills. The author encourages everyone to experiment with AI, as the technology continuously evolves and assists with an increasing number of tasks. However, AI should not be used when the goal is to learn new knowledge or skills, because having AI do the work reduces cognitive effort, making the brain less aware of the need to learn and retain information. Instead, one should solve problems independently, read materials thoroughly, and only use AI afterward to check comprehension or generate review questions. AI should…

The trend of fine-tuning low-cost AI models using an enterprise’s proprietary data and expertise is emerging as a counterweight to advanced AI models from OpenAI and Anthropic. Previously, specialized AI models in fields like law, healthcare, or education could only keep pace with older AI generations, but recent trials show the gap is narrowing significantly. Harvey AI fine-tuned the Kimi 2.6 model for the legal sector, improving performance by nearly 40% and achieving results on par with advanced AI models at only about 1/11 of the cost. However, this advantage quickly narrowed when Anthropic released a new version of Opus…

Taiwanese companies manufacturing servers for AI data centers are applying AI directly within their factories to accelerate production and meet the booming demand for next-generation AI systems. At Nvidia’s tech event in Taipei, CEO Jensen Huang announced that Vera Rubin has entered mass production. A standard Vera Rubin system consists of 18 processor trays, along with cooling systems, power supplies, network switches, and specialized racks for high-speed data and communication management. Jensen Huang stated that the assembly time for a server rack has plummeted from about two hours with the Grace Blackwell generation to just 5 minutes for the Vera…