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An anonymous reader quotes a report from TechCrunch: It's a strange glimpse into the human mind: If you filter search results on Google, Bing, and other search engines to only include URLs from the domain "https://chatgpt.com/share," you can find strangers' conversations with ChatGPT. Sometimes, these shared conversation links are pretty dull — people ask for help renovating their bathroom, understanding astrophysics, and finding recipe ideas. In another case, one user asks ChatGPT to rewrite their resume for a particular job application (judging by this person's LinkedIn, which was easy to find based on the details in the chat log, they did not get the job). Someone else is asking questions that sound like they came out of an incel forum. Another person asks the snarky, hostile AI assistant if they can microwave a metal fork (for the record: no), but they continue to ask the AI increasingly absurd and trollish questions, eventually leading it to create a guide called "How to Use a Microwave Without Summoning Satan: A Beginner's Guide." ChatGPT does not make these conversations public by default. A conversation would be appended with a "/share" URL only if the user deliberately clicks the "share" button on their own chat and then clicks a second "create link" button. The service also declares that "your name, custom instructions, and any messages you add after sharing stay private." After clicking through to create a link, users can toggle whether or not they want that link to be discoverable. However, users may not anticipate that other search engines will index their shared ChatGPT links, potentially betraying personal information (my apologies to the person whose LinkedIn I discovered). According to ChatGPT, these chats were indexed as part of an experiment. "ChatGPT chats are not public unless you choose to share them," an OpenAI spokesperson told TechCrunch. "We've been testing ways to make it easier to share helpful conversations, while keeping users in control, and we recently ended an experiment to have chats appear in search engine results if you explicitly opted in when sharing." A Google spokesperson also weighed in, telling TechCrunch that the company has no control over what gets indexed. "Neither Google nor any other search engine controls what pages are made public on the web. Publishers of these pages have full control over whether they are indexed by search engines."

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Reddit wants to become a full-fledged search engine, leveraging its vast repository of human-generated content and expanding its AI-powered Reddit Answers tool. In its latest note (PDF) to investors, CEO Steve Huffman says the company is "concentrating our resources on the areas that will drive results for our most pressing needs," including "making Reddit a go-to search engine." The Verge reports: Huffman says that "every week, hundreds of millions of people come to Reddit looking for advice, and we're turning more of that intent into active users of Reddit's native search." Reddit's core search has more than 70 million weekly active unique users -- Reddit overall averages 416.4 million weekly active unique users -- and Reddit Answers, the platform's AI search tool that it launched in December, has 6 million weekly users, up from 1 million weekly users in the first quarter of this year. To continue to build out search, Reddit is "expanding Reddit Answers globally, integrating it more deeply into the core search experience, and making search a central feature across Reddit," Huffman says.

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alternative_right shares a report from Phys.org: Researchers have created a microphone that listens with light instead of sound. Unlike traditional microphones, this visual microphone captures tiny vibrations on the surfaces of objects caused by sound waves and turns them into audible signals. In the journal Optics Express, the researchers describe the new approach, which applies single-pixel imaging to sound detection for the first time. Using an optical setup without any expensive components, they demonstrate that the technique can recover sound by using the vibrations on the surfaces of everyday objects such as leaves and pieces of paper. [...] To demonstrate the new visual microphone, the researchers tested its ability to reconstruct Chinese and English pronunciations of numbers as well as a segment from Beethoven's Fur Elise. They used a paper card and a leaf as vibration targets, placing them 0.5 meters away from the objects while a nearby speaker played the audio. The system was able to successfully reconstruct clear and intelligible audio, with the paper card producing better results than the leaf. Low-frequency sounds (1 kHz) showed slight distortion that improved when a signal processing filter was applied. Tests of the system's data rate showed it produced 4 MB/s, a rate sufficiently low to minimize storage demands and allow for long-term recording. "Currently, this technology still only exists in the laboratory and can be used in special scenarios where traditional microphones fail to work," said research team leader Xu-Ri Yao from Beijing Institute of Technology in China. "We aim to expand the system into other vibration measurement applications, including human pulse and heart rate detection, leveraging its multifunctional information sensing capabilities."

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