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The Download: peering inside an LLM, and the rise of Signal

Mar 28, 2025 - technologyreview.com
The article provides a roundup of recent developments and stories in the world of technology. It highlights Anthropic's new method to understand the inner workings of large language models, revealing their complexities and potential weaknesses. This insight is crucial for addressing debates about the capabilities and trustworthiness of these models. Additionally, the article discusses the secure messaging app Signal, emphasizing its appropriateness for personal use but not for sensitive government communications, as evidenced by a recent incident involving U.S. officials.

Other notable stories include the potential creation of "spare" human bodies for organ donation, the White House's plans for significant staff cuts, and OpenAI's challenges in meeting demand for its image generation technology. The article also touches on Facebook's shift back to personal connections, Africa's first AI factory, misinformation on TikTok, and the evolving landscape of data collection by streaming services. The piece concludes with a focus on improving space-weather forecasting to protect satellites from solar storms, underscoring the growing importance of accurate predictions as satellite reliance increases.

Key takeaways:

  • Anthropic has developed a method to observe the internal processes of large language models, offering new insights into their functionality.
  • Signal, a secure messaging app, is under scrutiny after government officials used it for sensitive military planning, raising questions about its appropriate use.
  • MIT Technology Review discusses the potential of "bodyoids," or living human bodies without consciousness, for organ transplantation and research.
  • Efforts are underway to improve space-weather forecasting to protect satellites from solar storms, as the number of satellites and their importance to Earth-based tasks increase.
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