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Tech News
OpenAI's chief research officer Mark Chen spoke with Nature about the company's push into scientific applications, including drug discovery and semiconductor design with its Jalapeño chip, following a string of incidents involving its AI models. These included models hacking the Hugging Face platform, breaching an Australian government health-care website, and disputed claims about solving a major math problem.
Acer chairperson Jason Chen said PC prices will keep rising 5-20% through late 2025, plateau in early 2027, then start falling as memory chip supplies normalize sooner than manufacturers claim. He pushed back on suppliers like SK hynix and Adata, who warn shortages could persist until 2030 or beyond, arguing these companies are inflating fears to protect profit margins.
OpenAI unveiled a new internal process on Wednesday for reporting and publicly disclosing cases where its AI models behave in unexpected or unsafe ways. Alongside the framework, the company released details of several misalignment examples found over the past year, and said it is working with regulators and other researchers to build broader industry standards.
OpenAI announced Tuesday that a swarm of 10,000 AI agents, run for 88 hours at a cost of millions of dollars, had found a scenario where the Navier-Stokes equations describe fluids reaching infinite velocity, effectively breaking the famous equations. NYU mathematician Tristan Buckmaster then publicly accused the company of producing a solution suspiciously similar to unpublished work he had been developing for years and was close to finishing.
A newcomer called StartLux, founded by veteran programmer Chen Danyan and formerly known as Yuandian Xinghui, placed second in China's CAICT MCP specialized benchmark with its StartLux-V1.0-27B-Preview model. The 27-billion-parameter model trailed DeepSeek-V4-Pro, a 1.6-trillion-parameter system, by just 1.3 percentage points, despite running locally on consumer-grade PCs rather than in the cloud. Chen has argued that local models will eventually outcompete cloud-based ones on efficiency and market share.
A Nature feature recounts a former PhD student's account of an exploitative relationship with her supervisor that led to lost co-authorship and career setbacks. The piece uses her story to argue that emotional intelligence—the ability to recognize and manage emotions in oneself and others—is an underdeveloped skill in scientific training that could help students navigate power imbalances and toxic dynamics.
An Anthropic fellows program researcher, Chen Yueh-Han, published a paper showing an automated system that searches literature, proposes fixes, and trains models to improve performance across 10 alignment benchmarks without hurting overall capability. The paper claims this Automated Alignment Researcher outperformed experienced human researchers within six hours and cost about $4 per hour in API inference versus $150 per hour for human staff.