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Tuesday

  1. China.com Technology

    Xiangxingqiu: Using AIGC as an efficiency engine for authentic recommendation content

    Xiangxingqiu, one of Xiaohongshu's first officially certified MCN agencies, has integrated AIGC into two content creation paths. It works with more than 30,000 partnered creators and has served over 1,000 brands cumulatively, ranking first in the maternal and infant sector for seven consecutive years. Its content middle platform can steadily output more than 500 high-quality notes per day for a certain infant formula brand, raising its search occupancy rate to over 20%. AI handles brand information verification and recommendation quality assessment, while professional wording and compliance boundaries remain under human review.

    Xiangxingqiu, one of Xiaohongshu's first officially certified MCN agencies, has integrated AIGC into two content creation paths. It works with more than 30,000 partnered creators and has served over 1,000 brands cumulatively, ranking first in the maternal and infant sector for seven consecutive years. Its content middle platform can steadily output more than 500 high-quality notes per day for a certain infant formula brand, raising its search occupancy rate to over 20%. AI handles brand informat

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    #hot-signal#Industry news#Agents

Monday

  2. ElevenLabs Blog

    How Content Creators Can Use Speech-to-Text: A Workflow Guide

    ElevenLabs has released a speech-to-text workflow guide for content creators, covering how to use speech-to-text to generate video captions, podcast show notes, searchable content libraries, and content translations. ElevenLabs Caption Generator can generate transcripts with word-level and character-level timestamps and export SRT and VTT files; the Scribe v2 model transcribes verbatim by default, and you can enable "Clean Transcript" in the Playground or switch to cleaned transcription via the no_verbatim parameter in the ElevenAPI.

    Speech to text for creators by the numbers. Caption and Scribe v2 statistics: 87% use captions, 98% accuracy, 90+ languages.

    ElevenLabs has released a speech-to-text workflow guide for content creators, covering how to use speech-to-text to generate video captions, podcast show notes, searchable content libraries, and content translations. ElevenLabs Caption Generator can generate transcripts with word-level and character-level timestamps and export SRT and VTT files; the Scribe v2 model transcribes verbatim by default, and you can enable "Clean Transcript" in the Playground or switch to cleaned transcription via the

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    #company#Tutorials / practice#Speech#Product updates

Saturday

  4. Unite.AI

    Interview with Trendos CEO Gintare Rimolaityte: How Brands Can Optimize Their Visibility in LLMs

    Trendos is an AI search visibility platform that helps brands monitor and optimize their presence in AI search engines such as ChatGPT, Gemini, Claude, and Perplexity by scraping LLM conversations at scale. CEO Gintare Rimolaityte says that under AI search, the key to brands being mentioned lies in five major sources: the official website, PR, review platforms such as Trustpilot and G2, affiliates, and social media, and that content needs to answer directly in an FAQ style rather than stuffing keywords.

    Trendos is an AI search visibility platform that helps brands monitor and optimize their presence in AI search engines such as ChatGPT, Gemini, Claude, and Perplexity by scraping LLM conversations at scale. CEO Gintare Rimolaityte says that under AI search, the key to brands being mentioned lies in five major sources: the official website, PR, review platforms such as Trustpilot and G2, affiliates, and social media, and that content needs to answer directly in an FAQ style rather than stuffing k

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    #hot-signal#Industry news#Search#English text is being prepared.
  5. Anthropic Research

    Anthropic has Claude autonomously design quantum circuits, with some results outperforming published approaches

    Anthropic gave Claude plain-language specifications for eight quantum circuits along with an automated evaluator; in a closed loop with essentially no human intervention, Claude repeatedly submitted designs and improved them based on scores, finding solutions that use fewer qubits and gates than the best published circuits, with some improvements reaching an order of magnitude. The elliptic-curve modular inversion design came from a single 53-hour continuous run, in which Claude derived a reversible divsteps implementation that requires no storage of branch information and formally verified it with Lean; another effort reduced the gate count of the most expensive Reed-Solomon decoding step in DQI to about 1/12 of Google's previous construction. Anthropic also noted that Claude was initially conservative and tended to stick with known methods, which had to be mitigated by requiring parallel exploration of multiple approaches and occasionally prompting it to broaden its search.

    Anthropic gave Claude plain-language specifications for eight quantum circuits along with an automated evaluator; in a closed loop with essentially no human intervention, Claude repeatedly submitted designs and improved them based on scores, finding solutions that use fewer qubits and gates than the best published circuits, with some improvements reaching an order of magnitude. The elliptic-curve modular inversion design came from a single 53-hour continuous run, in which Claude derived a revers

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    #lab#Papers/Research#Reasoning#Anthropic

Friday

  2. Computerworld

    Xbow used $40,000 of AI compute to find a Chrome exploit chain, earning a $250,000 bounty from Google

    Researchers at Xbow USA spent six days developing a Chrome exploit chain that first escaped the sandbox hosting the V8 JavaScript engine, then escaped Chrome's operating system process sandbox, allowing a Windows application to be launched from within a malicious webpage; Google has fixed the relevant flaws. They chose OpenAI's GPT-5.6 Sol to search Chrome source code, validate ideas, and build a proof of concept, while strategy formulation, search direction, and result verification remained the responsibility of the researchers. The AI compute cost $40,000, and they received a $250,000 bug bounty from Google, the first under the new 2026 rules.

    Researchers at Xbow USA spent six days developing a Chrome exploit chain that first escaped the sandbox hosting the V8 JavaScript engine, then escaped Chrome's operating system process sandbox, allowing a Windows application to be launched from within a malicious webpage; Google has fixed the relevant flaws. They chose OpenAI's GPT-5.6 Sol to search Chrome source code, validate ideas, and build a proof of concept, while strategy formulation, search direction, and result verification remained the

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    #hot-signal#Safety / alignment#Agents#OpenAI