Jupiter's size has been recalculated, revealing the gas giant to be smaller and flatter than previously thought, according to a recent study. Simultaneously, changes are coming to Let's Encrypt certificates, potentially impacting server operators, and new developments in AI and data security are emerging, including a new AI newsletter and risks associated with AI agents in messaging apps.
The Juno orbiter's data was used to recalculate Jupiter's measurements, with the planet's average radius now estimated at 69,886 kilometers, as reported by Nature News. This finding indicates a shift in our understanding of the Solar System's largest planet.
In the realm of digital security, Let's Encrypt will implement changes to the certificates it issues to servers, starting February 11th, 2026, according to Hacker News. While these changes are not expected to require action from most operators, servers using the new certificates may encounter connection problems with certain XMPP servers. The changes involve the certificates issued to servers by default.
Meanwhile, the intersection of AI and practical application is being explored through a new AI mini-course newsletter called "Making AI Work," as announced by MIT Technology Review. The newsletter aims to provide industry-specific guidance on how generative AI is being used across various sectors, including healthcare, climate tech, education, and finance. The newsletter will deliver weekly case studies exploring tools and tips for AI implementation.
However, the use of AI agents in messaging apps also presents new security risks. According to Hacker News, communicating with AI agents via apps like Slack and Telegram can expose users to data exfiltration risks. This is due to features like link previews, which can automatically extract user data after receiving a malicious link in an LLM-generated message.
Game theory is also being applied to understand organizational strategies. As stated in Hacker News, "Outcomes depend not just on what you do, but on what others do, and what they expect you to do." The framework is useful for pattern recognition at work.
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