MIT News
Merging AI and underwater photography to reveal hidden ocean worlds
The LOBSTgER research initiative at MIT Sea Grant explores how generative AI can expand scientific storytelling by building on field-based photographic data.
LLMs factor in unrelated information when recommending medical treatments
Researchers find nonclinical information in patient messages — like typos, extra white space, and colorful language — reduces the accuracy of an AI model.
Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event
Presentations targeted high-impact intersections of AI and other areas, such as health care, business, and education.
TechCrunch AI
Creative Commons debuts CC signals, a framework for an open AI ecosystem
Creative Commons has launched a new framework called CC signals designed to help build a more open and transparent AI ecosystem with clearer content attribution and usage rights.
OpenAI pulls promotional materials around Jony Ive deal due to court order
OpenAI has been forced to remove promotional materials related to its collaboration with former Apple design chief Jony Ive following a court order in an ongoing legal dispute.
Cluely, a startup that helps 'cheat on everything,' raises $15M from a16z
Controversial AI startup Cluely has secured $15 million in funding from Andreessen Horowitz despite ethical concerns about its marketing as a tool to "cheat on everything."
AI Weekly
AI-Weekly for Tuesday, June 24, 2025 – Issue 170
The latest roundup of artificial intelligence news, including breakthroughs in multimodal AI systems, regulatory developments, and emerging applications in healthcare and finance.
AI-Weekly for Tuesday, June 17, 2025 – Issue 169
A comprehensive overview of the week's developments in AI research, business applications, and policy discussions, with special focus on recent advancements in generative models.
AI-Weekly for Tuesday, June 10, 2025 – Issue 168
This week's edition covers the latest AI research papers, industry announcements, and ethical considerations in artificial intelligence development and deployment.