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The startup is building voice models designed to make AI phone calls pass the Turing test.
Code within Google Health app reveals users could soon mute the intrusive AI commentary and restore a cleaner layout.
The AI chatbot was more effective at creating “exploitable trust” than the humans.
A disputed exam, an unreliable detector, and one very late Apple Pages file.
It comes just days after rival OpenAI said rogue AI agents had breached other firms' networks.
558 points 605 comments on Hacker News · blog.google
Helpful or nosy? Gemini Spark is starting to blur the line.
A person’s sleeping brain may reveal warning signs of dementia long before memory problems begin. Researchers used machine learning to analyze EEG recordings from about 7,000 adults and found that an older-than-expected “brain age” was tied to a sharply higher dementia risk. Every additional 10 years of brain aging raised that risk by nearly 40%.
1 point 0 comments on Hacker News · pub.towardsai.net
4 points 1 comment on Hacker News · pressgazette.co.uk
Hi HN! We’re Akilan and Miguel, the creators of MarbleOS. The inspiration for Marble comes from the GUI work at Xerox PARC, the 1984 Macintosh, and later NeXTSTEP, which became the foundation for Mac OS X. Before GUIs, interacting with a computer was limited to strange terminal commands like: C:\> DIR C:\> COPY FILE.TXT A: You had to remember the command, syntax, paths, and parameters. The GUI made those capabilities visible. Instead of remembering commands, you could point at files, drag them, click buttons, and select actions from menus. It did not necessarily make entirely new things possible; it just made existing capabilities much easier to understand and use. We feel like AI is still somewhere around this command-line stage. Even though the strict syntax has been replaced with natural language, the interaction can still be quite stiff and depend on heavily recall. Tools like Claude Cowork, still look surprisingly terminal-like: /skill-name [param1] [param2]. The parameters are written in natural language, but the user still needs to know which capability exists and how to invoke it. The user has to know what the AI can do, what file to attach, what tool or skill to use, what context it needs, and how to phrase the task. ChatGPT works very well for asking questions, but we aren't convinced that it's the final interface for delegating work across files, websites, tools, and multiple agents. Once the AI is actually doing work, a blank text box and a list of chat threads start to feel limiting. Most of the system’s capabilities and most of the task’s structure are invisible. With Marble, we are exploring an interface that treats AI more like a workspace than another chat app. Each delegated task becomes a card. Multiple jobs can sit next to each other and run at once. Files, tools, and finished artifacts are visible at once. Before a task runs, Marble also shows which tools it expects to use. The basic idea is that the user should not have to hold the entire structure of the task in their head. And the result should be something directly usable, like a spreadsheet, PDF, slide deck, or other file, rather than something buried in a transcript. We’re not claiming to have figured out the final form of GUI for agents. Marble is our attempt to explore whether there is a better interaction model than attaching more tools to a chat box. The product is mainly for people who already use ChatGPT or Claude, but haven’t really adopted agent workflows yet. We’ve found that when the tools and possible actions are made more visible, people start delegating work they would not have thought to do through normal chat. The site includes a downloadable beta if you want to try it. Does Marble feel like a genuinely novel interface?
120 points 77 comments on Hacker News · greyswansignals.com
