🚀 DeepSeek-V4-Flash is now available in public beta via API and it’s far more than just a “fast” model.
Currently, only deepseek-v4-flash supports integrating with Codex. deepseek-v4-pro is expected to support Codex in early August 2026.
DeepSeek is planning a massive artificial-intelligence data center in Inner Mongolia, according to people familiar with the matter, an ambitious move in computing infrastructure from the startup that’s shown it can compete with the leading AI models of Silicon Valley.
The Hangzhou-based company is looking to add one gigawatt worth of compute in Ulanqab, about 350 kilometers northwest of Beijing, said the people, asking not to be identified discussing private information. DeepSeek aims to build its own new facility, while leasing additional capacity from other companies, the people said. More than a dozen firms have projects planned in the city, according to a third-party compilation of local government approvals.
Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario, Canada.
7Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina, USA.
8Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Application of guidelines to the day-to-day clinical practice of clinicians is not always straightforward. Guidelines often provide a structure to the thought process demanded during clinical decision-making, which requires the application of evidence as best suited for each individual patient. These guidelines provide recommendations and suggestions, and the weight of these recommendations relies heavily on the quality of evidence and the vote of experts in the field, when evidence is lacking or insufficient.
Researchers have obtained the deepest images ever taken of IC 1101, allowing them to identify the galaxy’s outer edge for the first time. The observations confirm it as the largest known galaxy, spanning roughly 520 kiloparsecs, or about 1.7 million light-years, and containing an estimated 3.4 trillion solar masses in stars. The paper was posted to the arXiv preprint server on July 16.
Department of Cell Biology and Molecular Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, USA.
2Division of Cardiovascular Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan.
3Department of Medicine, School of Medicine, National Yang-Ming Chiao-Tung University, Taipei, Taiwan.
The contemporary university system faces an unprecedented crisis of epistemic legitimacy. While empirical and vocational disciplines (such as clinical medicine, structural engineering, and applied physics) remain constrained by real-world falsifiability and physical safety, non-rigorous, non-vocational fields—predominantly spanning theoretical humanities and speculative social sciences—have descended into self-referential group-think. This paper argues that the legacy model of peer-reviewed, paywalled academic journals in these non-empirical fields is economically extractive, intellectually calcified, and functionally obsolete in the era of artificial intelligence. Through an examination of institutional incentive structures, the performative jargon of soft disciplines, and the democratizing force of generative AI, we show how legacy publishing cartels protect ideological conformity rather than academic rigor.