Hi Synapticians!

Claude is getting a major upgrade! Anthropic’s AI assistant now has real-time web search, meaning you can ask it about the latest happenings and get up-to-date, cited responses. This makes Claude far more useful for researchers, analysts, or anyone tired of sifting through endless web pages. But for now, only paid users in the U.S. get to play with this feature.

Meanwhile, Norway’s 1X is pushing humanoid robots into homes, starting with Neo Gamma. While this robot still relies on human teleoperators, the goal is to teach it from real-world interactions, moving us one step closer to AI-driven home assistants. Of course, the idea of a robot wandering around your house raises some privacy concerns—because who wouldn't be suspicious of an AI houseguest? Full autonomy is still far off, but the race is heating up, with competitors like Figure and OpenAI jumping in.

Curious to see where AI is headed next? Keep reading!

Top AI news

1. Anthropic’s Claude AI assistant now integrates real-time web search
Anthropic has upgraded its AI assistant, Claude, with web search capabilities, allowing it to provide real-time, up-to-date responses. This feature ensures transparency by including citations for fact-checking. Claude’s new functionality benefits sales teams, financial analysts, and researchers by streamlining information retrieval. Currently available to paid users in the US, broader access is expected soon. Users can enable web search in their settings to leverage this powerful update.

2. 1X to test humanoid robots in homes by 2025
Norwegian startup 1X plans to test its humanoid robot, Neo Gamma, in hundreds of homes by the end of 2025. The robot, still reliant on human teleoperators, aims to learn from real-world interactions to refine its AI capabilities. While this marks a significant step forward, privacy concerns arise as the robot collects data from home environments. Competitors like Figure and OpenAI are also entering the space, pushing the industry forward. However, full autonomy remains a distant goal, with safety and technical challenges still to be addressed.

3. Anthropic’s AI Claude struggles to beat Pokémon
Anthropic’s AI, Claude, was tested on Pokémon to showcase its reasoning abilities. While it made progress, it struggled with navigation, repeated mistakes, and lacked spatial awareness. Unlike AI trained for games like Go, Claude wasn’t specifically designed for Pokémon, highlighting its limitations in adaptability and long-term planning. The experiment underscores that while AI excels in text-based reasoning, it still falls short in real-world problem-solving. This serves as a reminder that artificial general intelligence remains a distant goal.

Bonus. Preventing bridge collapses with AI-powered digital twins
Researchers at the University of Florida are leveraging AI-powered digital twin technology to enhance bridge safety. These digital twins create real-time virtual models of bridges, continuously updated with data to detect weaknesses and predict failures before they occur. Unlike traditional manual inspections, which are slow and error-prone, this system provides continuous, accurate monitoring. With over 46,000 structurally deficient bridges in the U.S., this innovation is crucial. Existing bridges can also be retrofitted with sensors to integrate into the digital twin framework, ensuring long-term safety and efficiency. This technology could revolutionize infrastructure management and prevent future tragedies.

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