America´s gun crisis and how artificial intelligence video models work

This edition highlights gun violence as the leading cause of death for American children and explains how artificial intelligence video models are producing realistic clips while creating energy and misinformation challenges.

The newsletter opens by examining a recent strategy from the Trump administration titled Make Our Children Healthy Again, which emphasizes diet and exercise for young people but omits the leading cause of death for American children and teenagers: gun violence. The coverage notes that high-profile school shootings this week underscore the gap between policy messaging and reality, and experts quoted in the piece call for treating gun violence as what it is, a public health crisis. The report and commentary are presented as part of ongoing coverage that connects child health outcomes to broader social and policy failures.

The edition also explains how artificial intelligence models generate video and why the technology has become so prominent. It highlights that in the last nine months OpenAI made Sora public, Google DeepMind launched Veo 3, and the startup Runway released Gen-4, each capable of producing clips that are almost impossible to distinguish from filmed footage or CGI. The piece warns of downsides: creators are competing with artificial intelligence slop, social media feeds are filling with faked news footage, and video generation consumes a large amount of energy, many times more than text or image generation. The explainer frames these developments as part of MIT Technology Review Explains, aiming to clarify the technical and societal implications.

The newsletter profiles MIT Technology Review´s 2025 Innovator of the Year, Sneha Goenka, an assistant professor of electrical and computer engineering at Princeton. The profile focuses on a system she helped build to speed genome sequencing for critically ill children, noting that up to a quarter of children entering intensive care have undiagnosed genetic conditions and that standard sequencing can take up to seven weeks, which is often too slow. The edition also curates must-reads across tech and policy, including an undisclosed revised deal between OpenAI and Microsoft, a child dying from a measles complication in Los Angeles, Ukrainian drone attacks that triggered internet blackouts in Russia, and a discussion of what Africa needs to do to become a major artificial intelligence player.

65

Impact Score

HMS researchers design Artificial Intelligence tool to quicken drug discovery

Harvard Medical School researchers unveiled PDGrapher, an Artificial Intelligence tool that identifies gene target combinations to reverse disease states up to 25 times faster than current methods. The Nature-published study outlines a shift from single-target screening to multi-gene intervention design.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.