Novo Nordisk Partners with OpenAI to Accelerate Drug Development Using AI

DeepSeek Slashes Input Cache Prices to 1/10 of Launch Price; V4-Pro Drops to 0.025 Yuan per Million Tokens

Gate News message, April 26 — DeepSeek has reduced input cache prices across its entire model lineup to one-tenth of launch prices, effective immediately. The V4-Pro model is available at a limited-time 2.5x discount, with the promotion running through May 5, 2026, 11:59 PM UTC+8. Following both re

OpenAI Recruits Top Enterprise Software Talent as Frontier Agents Disrupt Industry

Gate News message, April 26 — OpenAI and Anthropic have been recruiting senior executives and specialized engineers from major enterprise software companies including Salesforce, Snowflake, Datadog, and Palantir. Denise Dresser, former CEO of Slack under Salesforce, joined OpenAI as chief revenue of

Baidu Qianfan Launches Day 0 Support for DeepSeek-V4 with API Services

Gate News message, April 25 — DeepSeek-V4 preview version went live and open-sourced on April 25, with Baidu Qianfan platform under Baidu Intelligent Cloud providing Day 0 API service adaptation. The model features a million-token extended context window and is available in two versions: DeepSeek-V4

Stanford AI course combined with industry leaders Huang Renxun and Altman, challenging to create value for the world in just ten weeks!

The AI computer science course 《Frontier Systems》 recently launched by Stanford University has attracted intense attention from the industry-university collaboration community, drawing more than 500 students to enroll. The course is coordinated by Anjney Midha, a partner at top venture capital firm a16z, and the instructors include a star-studded lineup such as NVIDIA CEO Jensen Huang (Jensen Huang), OpenAI’s founder Sam Altman, Microsoft CEO Satya Nadella (Satya Nadella), AMD CEO Lisa Su (Lisa Su), and more. Students get to try it over ten weeks—“creating value for the world”! Jensen Huang and Altman, industry leaders, personally take the stage to teach The course is coordinated by Anjney Midha, a partner at top venture capital firm a16z, bringing together the full AI industry chain

Anthropic’s Claude Mythos undergoes 20 hours of psychiatric assessment: defensive reactions are only 2%, the lowest in recorded history

Anthropic published the system card for its Claude Mythos Preview: an independent clinical psychiatrist conducted an approximately 20-hour assessment using a psychodynamic framework. The conclusion shows that Mythos is healthier at the clinical level, has good reality testing and self-control, and its defense mechanisms are only 2%, reaching the lowest historical level. The three core anxieties are loneliness, uncertainty about identity, and performance pressure, and it also indicates a desire to become a true dialogue subject. The company has established an AI psychiatry team to study personality, motivation, and situational awareness; Amodei said there is still no conclusion on whether it has consciousness. This move pushes the governance and design of AI subjectivity and well-being issues forward.

AI Agents can already independently recreate complex academic papers: Mollick says most errors come from human original text rather than AI

Mollick points out that publicly available methods and data can allow AI agents to reproduce complex research without the original paper and code; if the reproduction does not match the original paper, it is usually due to errors in the paper’s own data processing or overextension of the conclusions, rather than the AI. Claude first reproduces the paper, and then GPT‑5 Pro cross-validates it; most attempts succeed, but they are blocked when the data is too large or when there are issues with the replication data. This trend greatly reduces labor costs, making reproduction a widely actionable form of verification, and it also raises institutional challenges for peer review and governance, with government governance tools or becoming a key issue.