Author: lethuha

Bloomberg reports that McKinsey has appointed 21 experts to a new position called Distinguished Partner, aimed at recognizing individuals with top-tier expertise in fields such as AI and technology. This is a higher rank than Partner with increased compensation, but still lower than Senior Partner. Holders of this title also do not have voting rights to elect the company’s executive leadership. According to recruitment firms, the annual income of a Partner at McKinsey ranges from about $500,000 to $1.5 million, while a Senior Partner can receive up to $5 million in favorable business years. McKinsey believes client demand is shifting…

The article shows that Chinese AI models are being widely used in Africa thanks to low costs, high customizability, and open-source release formats, creating mounting pressure on American AI companies. In Uganda, researcher Ernest Mwebaze chose Alibaba’s model instead of Meta’s or Google’s to develop Sunflower, an AI system supporting dozens of local languages currently used by farmers to receive weather information and farming advice. Developers in Kenya, Nigeria, and Ghana are also applying Chinese AI models in legal, business, educational, and native chatbot fields. According to an analysis by The New York Times, China’s open-source models currently account for…

KPMG and the University of Texas at Austin conducted field research with 523 new employees in the US (with tenure under 18 months) to evaluate how newcomers collaborate with AI in real-world business tasks. Participants completed professional exercises with the support of an AI Agent, after which the results were compared against a benchmark completed by AI alone to determine the value added by humans. The results categorized participants into 3 groups: AI Apprentices (24.1%) performed lower than AI; AI Delegators (25.8%) achieved results equivalent to AI; and AI Amplifiers (50.1%) generated results superior to AI. Surprisingly, critical thinking, domain…

DeepSeek CEO Liang Wenfeng believes Nvidia is gradually losing its advantage as China’s domestic AI systems draw closer in compute capability, despite a significant remaining gap. In an exchange with investors, he stated that to train an AI model at a scale equivalent to the largest models today, DeepSeek would need about 50,000 Nvidia GB300 GPUs or around 200,000 Huawei Ascend 950 GPUs. According to him, the biggest gap between DeepSeek and US AI companies today lies not in algorithms, but in compute resources. Liang revealed that DeepSeek’s current compute capacity is only equivalent to about 20,000 Nvidia H100 GPUs,…

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…