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  1. Story2 reports · 1 facts

    Artificial Analysis ranks Phonic 1 first on the Speech to Speech Index

    Artificial Analysis's evaluation shows that Phonic's Phonic 1 (High) ranks first among 22 models on the Speech to Speech Index with a score of 87.1, narrowly ahead of xAI's Grok Voice 3.0 (86.9 points). In the same evaluation, Phonic 1 ranks first on the Tau Voice agent tasks with 79.9%, leading the second place by 5.4 percentage points; on Big Bench Audio it ranks third with 98.9%, with a first-audio latency of 0.61 seconds. Phonic 1 is available through the Phonic API, with input audio costing $0.07 per minute and $4.20 per hour. Another report states that Phonic is a 10-person startup, which claims that Phonic-1 can execute queries and bookings before the caller has finished speaking; the report also mentions that Phonic claims a score of 90.2 on the Cekura call test set, while the public Cekura leaderboard lists Phonic v1 at 68.3%.

    Artificial Analysis's evaluation shows that Phonic's Phonic 1 (High) ranks first among 22 models on the Speech to Speech Index with a score of 87.1, narrowly ahead of xAI's Grok Voice 3.0 (86.9 points). In the same evaluation, Phonic 1 ranks first on the Tau Voice agent tasks with 79.9%, leading the second place by 5.4 percentage points; on Big Bench Audio it ranks third with 98.9%, with a first-audio latency of 0.61 seconds. Phonic 1 is available through the Phonic API, with input audio costing

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Wednesday

  1. Story1 reports · 0 facts

    Trump criticizes the media for continuing to use the term "AI"

    On October 28, 2026, Trump publicly criticized media outlets including The Wall Street Journal for continuing to use the term "AI," demanding that they instead call it "superintelligence (SI)." Reports the same day showed that Trump signed an executive order requiring U.S. federal government executive branch departments to replace "artificial intelligence (AI)" with "superintelligence (SI)" in all applicable contexts, and specifically called on The Wall Street Journal to stop using "AI." Earlier reports said that an executive order issued by the White House on September 29 had already required federal executive departments and agencies to use superintelligence and SI in place of artificial intelligence and AI in official letters, websites, reports and other non-legal documents, with no need to modify historical documents, and required the Assistant to the President for Science and Technology to submit proposed legislative text within 60 days to establish a federal definition for superintelligence and SI. Trump said he would soon ban the term artificial intelligence in relevant documents and other contexts, but did not specify the exact scope and implementation method of the ban. Musk expressed support; his xAI division has been renamed "SpaceX Super Intelligence" and "SpaceXSI," while the official website domain remains x.ai; major AI companies such as Anthropic and OpenAI continue to use the term "AI."

    gislative text within 60 days to establish a federal definition for superintelligence and SI. Trump said he would soon ban the term artificial intelligence in relevant documents and other contexts, but did not specify the exact scope and implementation method of the ban. Musk expressed support; his xAI division has been renamed "SpaceX Super Intelligence" and "SpaceXSI," while the official website domain remains x.ai; major AI companies such as Anthropic and OpenAI continue to use the term "AI."

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  2. Story1 reports · 1 facts

    Nathan Lambert says organizational structure is severely underestimated for building excellent LLMs

    On October 28, 2026, Nathan Lambert put forward the view that the importance of organizational structure and team collaboration for building excellent LLMs is severely underestimated. He stated that the value of an efficient organization and team is equivalent to several times the compute, and cited team reorganizations at Llama, xAI and others as examples to explain that after organizational collapse, rebuilding is needed, which is also why he believes latecomers can still catch up. He also said that there are not many unique secrets to building models, and most of the gains come from sustained execution and wise use of compute. Currently, this view is reported by a single source, and there have been no subsequent developments.

    LMs is severely underestimated. He stated that the value of an efficient organization and team is equivalent to several times the compute, and cited team reorganizations at Llama, xAI and others as examples to explain that after organizational collapse, rebuilding is needed, which is also why he believes latecomers can still catch up. He also said that there are not many unique secrets to building models, and most of the gains come from sustained execution and wise use of compute. Currently, thi

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