Author: lethuha

The article reflects profound changes in AI research at universities as the AI race shifts to the corporate sector. Over the past four years, AI research has heavily focused on large language models, shifting leadership from academia to companies like OpenAI and Anthropic. Many universities lack the funding to purchase GPUs to train advanced models, and they also cannot access the technical details of Claude or ChatGPT. Professor Nika Haghtalab compares the current situation to the field of biology if only corporations were allowed to use CRISPR gene-editing technology. The AI2050 program by Schmidt Sciences provides funding to purchase GPUs,…

Spotify will label generative AI artist identities as “AI persona,” displaying it on artist profiles and track lists starting in September to distinguish them from real artists. AI artists like Velvet Sundown will be excluded from personalized recommendation systems by default to reduce the risk of unfair competition in listen counts with human artists. Spotify asserts that the relationship between artists and fans is only sustainable when built on trust, especially in the rapidly developing era of generative AI. Over the past 12 months, Spotify has removed 75 million spam tracks, while the platform’s valid music catalog currently stands at…

Saudi Arabia is rolling out the Nama’ Incentives program and the AI Incentives for Cultural Projects initiative to promote generative AI in the cultural sector. Eligible micro, small, and medium-sized enterprises can receive up to 500,000 SAR, equivalent to about $133,000, to apply or develop AI solutions. The program is implemented in conjunction with the Quality of Life Program, the Ministry of Culture, and the Saudi Data and AI Authority. The goal is to develop creative cultural products and services, enhance competitiveness, and create sustainable economic and social value. The initiative focuses on six areas: creativity, heritage preservation, content development,…

KPMG’s Q2/2026 Global AI Pulse survey of 2,145 senior executives across 20 countries, from enterprises with over $50 million in annual revenue, shows that 49% have delayed or scaled back AI agent deployments because operating costs exceeded the benefits generated. However, AI remains a top investment priority. 79% of leaders stated that AI continues to be a strategic investment area, up from 74% in the previous quarter, with an average investment of about $188 million per enterprise. The proportion of businesses considering AI as part of daily work increased from 13% to 22% in just one quarter, the largest increase…

Offshore marine and engineering group Seatrium requires proof of concept AI projects to demonstrate business value within 3 months. After this deadline, the project is either moved to the implementation stage or stopped. According to Senior Vice President of Digital Transformation Lee Wey Lii, the goal is not to avoid failure, but to prevent AI projects from lingering indefinitely in the testing phase and becoming a “graveyard of pilots.” A successful example is an AI application combined with OCR to cross-reference thousands of equipment codes with technical drawings. A process that used to take up to 50 person-days now takes…

Fusion5 warns that the period of free or subsidized AI has ended. As providers transition to token-based pricing models, AI operating costs will become a major budget item for enterprises. Fusion5 CEO Kristy Brown stated that over the past three years, businesses have essentially benefited from “the most expensive tech experiment in history” funded by AI companies, but costs are now gradually being shifted to customers. Tools like Claude, Gemini, Microsoft Copilot, and various coding or customer service agents are adopting token-based pricing models or a combination of subscription and usage-based fees. According to Ms. Brown, unlike traditional software, every…

The article shows that enterprises are rapidly deploying AI model routers, software that automatically selects the most suitable AI model for each task to reduce the operating costs of AI agents. Unlike regular chatbots, agents like Claude Code and Codex can operate continuously for hours, repeatedly calling AI models and consuming huge amounts of tokens, leaving many businesses surprised by massive compute bills. A survey shows that 62% of organizations have had to change business decisions due to unexpected AI expenses.Among them, 40% had to report to the board of directors, 33% imposed emergency spending freezes, and 25% delayed or canceled AI projects. AI model routers help…

The article argues that following the challenge of lacking advanced AI chips, China is facing another serious challenge: a shortage of high-quality Chinese-language data to train next-generation AI models. According to the US research institute Epoch AI, high-quality, publicly available human-created text globally could be completely exhausted within the next six years. OpenAI co-founder Andrej Karpathy also warned of a “data wall” by the end of this decade, as the capabilities of AI models could plateau without additional new and reliable data. US AI companies have accelerated offline data collection. According to court filings, Anthropic reportedly spent tens of millions…

The article argues that AI will become a test for the political models of the US and China, as competition lies not only in developing AI but also in the ability to deploy the technology across the entire economy. According to the author, the gap between Chinese and US AI is rapidly narrowing. New models like Qwen3.8-Max and Kimi K3 now achieve performance nearly equivalent to advanced US models like Anthropic’s Fable 5. However, analysis by Artificial Analysis shows that US models still deliver a better performance-to-cost ratio in most use cases. Although China currently builds only about one-tenth of…

The article suggests that China is promoting AI at a rapid pace to compete with the US and cope with an aging population, but this very technology also risks displacing millions of workers and putting pressure on social stability. The online microdrama industry reached a scale of about 100 billion yuan (approx. $13.9 billion) in 2025, creating about 700,000 direct jobs and around 1.3 million indirect jobs. However, after ByteDance launched Seedance 2.0, production time dropped from weeks to just days, and costs fell by up to 90%, causing the income of many actors to drop by half and triggering…