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  1. FactRelated story

    Meta's new commercial terms will allow it to scrape website content to train AI

    Meta updated its commercial terms, removing language that had been interpreted as allowing it to scrape website content to train AI. Neiman Lab and Cornell University law professor James Grimmelmann previously argued that the clause was intended to let Meta use scraped content for free to train AI, and could bypass blocking instructions in robots.txt. Meta Vice President of Communications Andy Stone and spokesperson Daniel Roberts had responded that Meta's use of web crawlers had not changed, and this terms update directly removed the disputed language. Other reports said that when Meta updated its business services terms, it had stated it had the right to use content from business account domains, web pages or URLs to train AI models, and deleted that language after controversy; Meta said the update was merely a consolidation of existing advertising terms, not an expansion of crawler behavior, and that the revised terms limit crawlers and data collection to advertising and business products only, while site owners can still control crawler permissions via robots.txt.

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    View story:Meta updates its commercial terms, removing language that could have allowed scraping of news website content

Sunday

  1. Story1 reports · 1 facts

    Watchdog groups submit new evidence to Brazil's electoral court alleging Meta favoritism

    On October 20, 2026, watchdog groups Sleeping Giants Brasil and CTRL+Z submitted new evidence to Brazil's Superior Electoral Court, alleging that tools on Meta's Instagram and WhatsApp still favor Senator Flávio Bolsonaro and associate President Lula with derogatory content, even though the court has ordered Meta to ensure both candidates receive equal conditions. The evidence concerns GIF search, hashtag ranking, and answers from the Meta AI built into WhatsApp; the organizations are demanding that Meta make corrections within 24 hours and disclose the rules for ranking and AI-generated answers. Judge Bellizze had previously set a daily fine of 500,000 reais (about $99,000) and warned that it could rise to 1 million reais (about $198,000) if noncompliance continues. Meta denies intentionally favoring any candidate and has attributed earlier problems to technical glitches.

    On October 20, 2026, watchdog groups Sleeping Giants Brasil and CTRL+Z submitted new evidence to Brazil's Superior Electoral Court, alleging that tools on Meta's Instagram and WhatsApp still favor Senator Flávio Bolsonaro and associate President Lula with derogatory content, even though the court has ordered Meta to ensure both candidates receive equal conditions. The evidence concerns GIF search, hashtag ranking, and answers from the Meta AI built into WhatsApp; the organizations are demanding

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  2. FactRelated story

    Watchdog group submits new evidence to Brazil's electoral court alleging Meta favoritism

    On October 20, 2026, watchdog groups Sleeping Giants Brasil and CTRL+Z submitted new evidence to Brazil's Superior Electoral Court, alleging that tools on Meta's Instagram and WhatsApp still favor Senator Flávio Bolsonaro and associate President Lula with derogatory content, even though the court has ordered Meta to ensure both candidates receive equal conditions. The evidence concerns GIF search, hashtag ranking, and answers from the Meta AI built into WhatsApp; the organizations are demanding that Meta make corrections within 24 hours and disclose the rules for ranking and AI-generated answers. Judge Bellizze had previously set a daily fine of 500,000 reais (about $99,000) and warned that it could rise to 1 million reais (about $198,000) if noncompliance continues. Meta denies intentionally favoring any candidate and has attributed earlier problems to technical glitches.

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    View story:Watchdog groups submit new evidence to Brazil's electoral court alleging Meta favoritism

  3. Story1 reports · 1 facts

    Rohan Paul says AI helped Meta increase ad volume by 14% and prices by 12%

    On October 17, 2026, Rohan Paul put forward the judgment that AI increased Meta's ad volume by 14% and raised prices by 12%, because AI can better predict users' needs before they search. The same report also mentioned that Meta's advertising business is narrowing its revenue gap with Google Search, with quarterly revenue currently differing by only about $4 billion. At present, this judgment appears only in this one source, and there are no subsequent factual developments.

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  4. FactRelated story

    Rohan Paul says AI helped Meta increase ad volume by 14% and prices by 12%

    On October 17, 2026, Rohan Paul put forward the judgment that AI increased Meta's ad volume by 14% and raised prices by 12%, because AI can better predict users' needs before they search. The same report also mentioned that Meta's advertising business is narrowing its revenue gap with Google Search, with quarterly revenue currently differing by only about $4 billion. At present, this judgment appears only in this one source, and there are no subsequent factual developments.

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    View story:Rohan Paul says AI helped Meta increase ad volume by 14% and prices by 12%

Sunday

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  1. FactRelated story

    Meta releases open-weight model Muse Spark Open

    On October 15, 2026, Meta released the open-weight model Muse Spark Open, with the weights going live on Hugging Face the same day under the Muse Model License. According to the PyTorch Blog, the model has 816B total parameters, 42B activated parameters, and a 1M token context window; it is natively multimodal and aimed at coding and agentic tasks, adds safety post-training on top of Muse Spark, and can run on SGLang and vLLM. On October 16, the model launched on Amazon SageMaker JumpStart with two variants, BF16 and NVFP4; the same day it entered live testing in Arena's Agent Arena and launched in Code Arena's WebDev and other projects. On October 17, Arena announced that Muse Spark Open (Max) ranked first among US open models on the Code Arena WebDev leaderboard with a score of 1511, placing 13th among all open models.

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    View story:Meta releases open-weight model Muse Spark Open

Wednesday

  1. Story44 reports · 5 facts

    Meta launches Muse Wonder and Muse Wonder Full models

    On October 13, 2026, Meta released the Muse Wonder series, comprising two models, Muse Wonder and Muse Wonder Full, which it called its most capable models to date, achieving SOTA on personal and professional agent tasks, covering professional domains such as law, finance, and health as well as frontier coding capabilities. Both models feature Active Memory and Active Focus, and were trained, evaluated, and released according to the Meta Superintelligence Scaling Framework. According to Artificial Analysis data, the two models scored 52 and 56 respectively on Intelligence Index v4.3 at maximum reasoning effort, higher than the 48 of Muse Spark 1.3 (max); Muse Wonder is already available on Meta's first-party API and Muse Code, while Muse Wonder Full is available only to Muse Code users. On the same day, Arena added the two models to Agent Arena testing, and Simon Willison released the llm-meta-ai 0.2 plugin supporting the new models. On October 14, Arena announced Muse W

    On October 13, 2026, Meta released the Muse Wonder series, comprising two models, Muse Wonder and Muse Wonder Full, which it called its most capable models to date, achieving SOTA on personal and professional agent tasks, covering professional domains such as law, finance, and health as well as frontier coding capabilities. Both models feature Active Memory and Active Focus, and were trained, evaluated, and released according to the Meta Superintelligence Scaling Framework. According to Artifici

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Tuesday

  1. FactRelated story

    Meta launches the Muse Wonder and Muse Wonder Full models

    On October 13, 2026, Meta released the Muse Wonder series, comprising two models, Muse Wonder and Muse Wonder Full, which it called its most capable models to date, achieving SOTA on personal and professional agent tasks, covering professional domains such as law, finance, and health as well as frontier coding capabilities. Both models feature Active Memory and Active Focus, and were trained, evaluated, and released according to the Meta Superintelligence Scaling Framework. According to Artificial Analysis data, the two models scored 52 and 56 respectively on Intelligence Index v4.3 at maximum reasoning effort, higher than the 48 of Muse Spark 1.3 (max); Muse Wonder is already available on Meta's first-party API and Muse Code, while Muse Wonder Full is available only to Muse Code users. On the same day, Arena added the two models to Agent Arena testing, and Simon Willison released the llm-meta-ai 0.2 plugin supporting the new models. On October 14, Arena announced Muse W

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    View story:Meta launches Muse Wonder and Muse Wonder Full models

Friday