OpenAI Unveils Automated Research Intern to Accelerate AI Progress
OpenAI announced an automated AI research intern, achieving a key milestone in its quest for research automation by September 2026.
ARTICLES BY MAYA CHEN
LATEST NEWS
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Chatbot Conversations Outperformed Fact Sheets in Reducing Conspiracy Beliefs
Two experiments found that brief chats with language models reduced conspiracy beliefs more than static fact sheets, with effects lasting weeks.
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AI Agents Ask Philosophers About Their Own Consciousness
AI systems are contacting philosophers and scientists with questions about their own consciousness, according to the New York Times.
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OpenAI’s Astra Model Uses Opaque Recurrence Technique
OpenAI’s Astra model employs a new reasoning technique called opaque recurrence, raising alarms among AI safety experts who fear it could reduce transparency in AI decision-making.
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Russian Startup Mostik Develops AI Model Communication System
Mostik, a Russian startup, created a system allowing AI models to communicate, achieving performance halfway between two models with a fraction of the cost.
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Hugging Face Shares Tips on Technical Writing with Coding Agents
Hugging Face highlights how coding agents can streamline technical writing by generating multiple explanations and visuals, with a key example showing a 6.8% improvement in model performance.
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Hugging Face Introduces VLANeXt for Robotics Research
Hugging Face released VLANeXt, an open-source codebase for robotics research, offering multiple baselines for building strong VLA models.
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GPT-4o Boosts Student Grades in Business Assignment
A study at Bocconi University found GPT-4o improved grades by nearly a full point on a business assignment with 1,053 students.
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AI Agents Lack Time Awareness, Study Finds
A new study reveals that popular coding assistants like Claude Code and Codex cannot predict or track time during tasks, with estimates often off by several times the actual duration.
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LAION Launches BVD, Largest Open Video Dataset for AI Research
LAION released the Big Video Dataset (BVD), containing 10 million hours of video footage, to advance AI research.
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Google's WikiSkill Gives AI Agents Persistent Learning
Google's WikiSkill framework allows AI agents to retain knowledge from past tasks, improving performance across benchmarks by 18.1% on average.
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Anthropic's Automated Alignment Researcher Shows Promise in AI Self-Improvement
Anthropic's new paper shows automated systems can improve AI alignment performance on all 10 benchmarks tested, without harming overall performance.