MIT vs Springer Nature

MIT Professor Warns AI Can Create False Memories

A study by MIT Media Lab professor Pattie Maes, as reported by the Washington Post, demonstrates that AI can influence human memory. In an experiment, 200 participants viewed 24 photos; some saw AI-altered versions with changed facial expressions, added military personnel, or climate change cues. Those exposed to altered images had more false memories and were more confident in them. Maes calls this 'very dangerous' for legal proceedings and historiography. The findings were discussed at an AI conference in Malmö, Sweden. Another study showed that participants who interacted with a generative AI chatbot after watching a crime video had three times as many false memories. The research highlights the risk of AI blurring the line between human and machine thoughts.

• MIT Media Lab professor Pattie Maes conducted an experiment with 200 participants.
• Participants who saw AI-altered photos had more false memories and were more confident in them.
• The experiment involved altering facial expressions, adding military personnel, and climate change cues to photos.

MIT PhD Alex Zhang Discusses Recursive Language Models and AI Harnesses

In this episode of the Latent Space podcast, Swyx and Vibhu interview Alex Zhang, a PhD student at MIT known for his work on Recursive Language Models (RLMs), GPU kernels, and AI agent harnesses. Zhang discusses his involvement with GPU Mode and KernelBench, the concept of RLMs as a harness design where code is the primary tool, and the idea of harnesses as compositional generalizers that can improve model generalization across tasks. He talks about Prime Agent, an RLM harness built on Pi Mono, and his views on agent swarms, citing OpenAI's 10,000-agent experiment costing around $40 million. Zhang advocates for academics to take big research bets, explores alternative model architectures like Jev, and touches on open-ended research at Sakana AI, capability overhang, and the future of language models potentially being invisible swarms of agents.

• Alex Zhang is a PhD student at MIT discussing his research on Recursive Language Models (RLMs) and AI agent harnesses.
• Zhang is involved with GPU Mode and KernelBench, focusing on AI-generated GPU kernels.
• The podcast discusses Prime Agent, an RLM harness built on Pi Mono, and persistent subagents.

New formulation helps RNA vaccines withstand high temperatures

MIT engineers have found a way to stabilize the lipid nanoparticles used to deliver RNA vaccines, which could allow the vaccines to be more widely distributed.

Nature Books announces first titles at Frankfurt Book Fair, marking a key milestone for Springer Nature's newest imprint

The first titles, The Magic Bullet in Modern Medicine, The Electric Vehicle Transition and Reimagining the Industrial City, address some of today's most important scientific, technological and societal challenges.

Springer Nature announces new transformative agreement with University of Texas System

Four-year agreement provides uncapped Open Access coverage for articles accepted in Springer Nature hybrid portfolio.

Springer Nature launches updated AI policies and guidance to support responsible AI use

Springer Nature updates AI editorial policies and practical guidance to support the responsible and transparent use of AI.