**GPT-5.2 Cracks Erdos Math Problem as OpenAI Faces 2027 Cash Crunch**
AI Research & Breakthroughs
GPT-5.2 Solves Long-Standing Erdos Problem in Mathematics
OpenAI’s GPT-5.2 successfully solved a previously unsolved problem in number theory posed by mathematician Paul Erdős, involving infinite sequences and congruence classes. The solution was verified by Fields Medalist Terence Tao, showcasing the model’s advanced reasoning capabilities in pure mathematics.
- Another Erdos problem solved by GPT-5.2
- it's unfortunate it took some people so long to realize that these systems will slingshot us into some form of bounded infinity
Model & Product Developments
Qwen 4 Development Delayed as Team Prioritizes Quality Over Speed
The lead developer of Alibaba’s Qwen announced a strategic shift to slow down the release of Qwen 4, focusing instead on foundational research and quality improvements. This decision suggests a long-term approach to AI advancement, potentially delaying near-term updates for more robust future capabilities.
OpenAI’s Codex Accelerates Compute Scaling in 2026
An OpenAI engineer revealed that Codex, the company’s AI-powered coding assistant, is scaling compute resources at an "unprecedented pace" this year. The rapid expansion hints at significant performance upgrades and broader applications for AI-driven software development.
Industry & Competitive Landscape
Google DeepMind CEO: China’s AI Models “Months” Behind U.S., Not Years
Demis Hassabis, CEO of Google DeepMind, stated that Chinese AI models are only "months" behind U.S. counterparts in capability, contradicting earlier assessments of a wider gap. The remark underscores the intensifying global race in AI, with China rapidly closing the technological divide.
China’s AGI-NEXT Conference Highlights Strategic AI Priorities
Major Chinese AI labs—including Qwen (Alibaba), Kimi (MoonShot AI), Zhipu, and Tencent—convened to discuss paths to AGI, compute resource allocation, and comparisons with U.S. AI development. The conference emphasized China’s coordinated push toward next-generation AI, with debates on infrastructure and research directions.
Business & Financial Challenges
OpenAI Faces Potential Cash Crunch by Mid-2027, Analyst Warns
A financial analyst’s report suggests OpenAI could deplete its cash reserves by mid-2027 due to the exorbitant costs of AI training and operations. The warning highlights the sustainability challenges facing even leading AI firms amid escalating computational and R&D expenses.
AI Security & Ethical Concerns
AI Insiders Attempt to “Poison” Training Data to Expose Vulnerabilities
Industry insiders are deliberately injecting misleading or harmful data into AI training datasets to demonstrate weaknesses in model robustness and data integrity. The tactic underscores growing concerns about adversarial attacks and the need for safeguards in AI development pipelines.