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OpenAI previewed the precautions it is taking as it prepares to release Astra, its newest, cyber-critical LLM.

While some of the features see Google playing catch-up to Apple, which already offers similar features for iPhone users, others specifically leverage Gemini to provide various improvements.

A nonprofit organization called the Fermi Explorer Mission announced today that it intends to launch a spacecraft to our nearest star system by the end of 2029. It’s a hugely ambitious mission - if all goes well, the spacecraft could take up to 80,000 years to arrive at Alpha Centauri, which is 4.4 light-years away. And the…

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. How engineered microbes could help feed the world’s crops Fertilizer is crucial for the global food supply, but making it uses a lot of energy and produces a lot of emissions.…

arXiv:2608.27464v1 Announce Type: new Abstract: This position paper argues that human-centered explainable AI (HCXAI) should incorporate insights from the psychology of information seeking. Drawing on Sharot and Sunstein's framework of information-seeking motives, we propose that people evaluate whether to engage with explanations based on three types of expected utility: instrumental (will it help me act better?), hedonic (will it make me feel better?), and cognitive (will it improve my understanding?). Each utility is estimated through a lens shaped by well-documented cognitive biases, including illusion of control, automation bias, unrealistic optimism, impact bias, overconfidence, and confirmation bias. These biases can lead to two failure modes: excessive information-seeking that fragments attention without improving decisions, and insufficient information-seeking that leaves critical risks and misunderstandings unexamined. This challenge is particularly acute for agentic AI systems, where explanations must support not just understanding a single output but anticipating cascading actions, assessing risks, and deciding when to intervene. By integrating information-seeking psych

Getting cited in AI responses is the easy part. Our audit of 50 major websites shows where real AI readiness begins. The post The Technical Signals AI Search Uses That Most SEOs Still Aren’t Optimizing appeared first on Search Engine Journal .

WordPress announced an initiative to scale security as AI makes it easier for criminal to find and exploit vulnerabilities. The post WordPress Announces A Proactive Security Initiative appeared first on Search Engine Journal .

Schema is not a magic ranking switch. Loren Baker explains how consistent structured data strengthens entity trust across local, ecommerce, and author-driven content. The post Schema For AI Citations: How To Become A Trusted Source appeared first on Search Engine Journal .

Amid criticism over reliability of its data.

Bigger and richer, but catching up in AI race.