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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

    Matched fieldsSummary、Body

    #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

    Matched fieldsSummary、Body

    #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

    Matched fieldsSummary、Body

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

Thursday