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Monday

  1. ScienceNet

    Should AI Hit the Brakes: Divergent Positions and the Battle Over Commercial Motives Among Tech Giants

    The debate over whether the AI industry should slow its research and development pace continues to heat up. On September 12, Anthropic CEO Dario Amodei published an article calling on the industry to proactively slow the pace of capability improvements in frontier models, warning that recursive self-improvement could spiral out of control. OpenAI CEO Altman, xAI founder Musk, DeepMind founder Hassabis and others publicly expressed support. On September 16, Meta CEO Zuckerberg said that devoting the vast majority of compute to serving people rather than racing to pursue recursive self-improvement is one of the best ways to develop this technology safely, and said labs that do not focus on alignment will fall behind. Opposing voices are equally strong: Trump called AI safety concerns a hoax, and Nvidia CEO Jensen Huang believes innovation and safety can go hand in hand and that no new legislation is needed; while big short Michael Burry pointed out that executives talk about slowing down out of self-interest, and said large language models are not AI and will not become AGI.

    that recursive self-improvement could spiral out of control. OpenAI CEO Altman, xAI founder Musk, DeepMind founder Hassabis and others publicly expressed support. On September 16, Meta CEO Zuckerberg said that devoting the vast majority of compute to serving people rather than racing to pursue recursive self-improvement is one of the best ways to develop this technology safely, and said labs that do not focus on alignment will fall behind. Opposing voices are equally strong: Trump called AI safe

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    #science#Industry news#Safety / alignment#OpenAI

Friday

  1. Latent Space

    Airbnb CTO Ahmad Al-Dahle on How to Transform Airbnb into an AI-Native Company

    Ahmad Al-Dahle, former head of generative AI at Meta and now CTO of Airbnb, told Latent Space about Airbnb's AI-native transformation: currently 60% of code is written by AI, feature delivery volume has increased nearly 80% year over year, and per-engineer PR throughput has risen about 1.6x. Customer support was the first user-facing deployment scenario, with about half of tickets resolved by AI, which the company says is consistent with the nearly 45% figure in its Q2 earnings report. The internal organizational context graph Everest enabled two services—grocery delivery and airport pickup—to launch quickly, with the latter taking about six weeks to develop. Airbnb adopts a multi-model strategy, deploying at least 10 custom models and selecting models for different scenarios along the Pareto frontier of cost, performance, and latency: the strongest frontier models for coding, and smaller, faster post-trained models for search. The internal agent AirChat is already connected to MCP organizational context, and the team is advancing event-triggered asynchronous agents to automatically handle on-call.

    Ahmad Al-Dahle, former head of generative AI at Meta and now CTO of Airbnb, told Latent Space about Airbnb's AI-native transformation: currently 60% of code is written by AI, feature delivery volume has increased nearly 80% year over year, and per-engineer PR throughput has risen about 1.6x. Customer support was the first user-facing deployment scenario, with about half of tickets resolved by AI, which the company says is consistent with the nearly 45% figure in its Q2 earnings report. The inter

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    #newsletter#Industry news#Agents#English text is being prepared.

Thursday

Friday

  2. Platformer

    Can Muse make people forget the metaverse?

    At its developer conference, Meta pushed Muse, its personal agent that is less than a month old, to the center of its strategy; Zuckerberg said it will grow into a personal superintelligence used by billions of people, and the company plans to launch voice conversation capabilities, integration with the VR operating system, and companion hardware called Muse Charm. The author, Casey Newton, noted that Muse has about 500,000 weekly users, far short of Threads surpassing 100 million in five days, and argued that Meta's move is more about generating momentum amid capital expenditures reaching as high as $145 billion this year. He also tested the Meta VR Glasses, which weigh 100 grams and claim 5K displays, and concluded that they significantly reduce the bulk and price of the Vision Pro, though the question of what VR is for remains unresolved.

    At its developer conference, Meta pushed Muse, its personal agent that is less than a month old, to the center of its strategy; Zuckerberg said it will grow into a personal superintelligence used by billions of people, and the company plans to launch voice conversation capabilities, integration with the VR operating system, and companion hardware called Muse Charm. The author, Casey Newton, noted that Muse has about 500,000 weekly users, far short of Threads surpassing 100 million in five days,

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    #ai-news#Industry news#Agents#OpenAI

Wednesday

Friday

Thursday

Thursday

  1. Story1 reports · 0 facts

    Meta releases third-quarter financial report

    On October 22, 2026, Meta released its third-quarter financial report. According to Zhi Dongxi reporting, the company's revenue was 64.601 billion USD, up 26% year over year, and net profit was 9.860 billion USD, up 264% year over year, but after including 9.89 billion USD in costs related to adolescent mental health litigation, operating profit fell 37% year over year; as of September 30, global employees totaled 66,775, down 15% year over year, about 12,000 fewer. On the earnings call, Meta set its personal AI agent Muse as the future core; Zuckerberg said Muse was downloaded and set up more than 10 million times in the United States and Canada within one month of launch, with a quarter of users using it daily; because computing costs have prevented a global launch, it plans to improve computing cost-effectiveness by 10 times next year, and plans expenditures of 135 billion to 145 billion USD in 2026. There is currently no further subsequent development confirmed by factual evidence.

    On October 22, 2026, Meta released its third-quarter financial report. According to Zhi Dongxi reporting, the company's revenue was 64.601 billion USD, up 26% year over year, and net profit was 9.860 billion USD, up 264% year over year, but after including 9.89 billion USD in costs related to adolescent mental health litigation, operating profit fell 37% year over year; as of September 30, global employees totaled 66,775, down 15% year over year, about 12,000 fewer. On the earnings call, Meta se

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Sunday

  1. 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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  2. 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%

Wednesday

  1. Story2 reports · 1 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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  3. Story2 reports · 0 facts

    Meta launches personal AI agent Muse

    On September 9, 2026, Meta released the personal AI agent Muse, powered by the Muse Spark model. It can be used for conversations in the Muse app or on WhatsApp, and can carry out tasks such as sending emails, booking itineraries, filling out forms, and negotiating prices, and it comes back to confirm when approval is needed. Muse runs on a dedicated cloud virtual machine, Muse Secure VM, with an independent Sentinel agent governing its networking behavior. Users can choose which apps to connect and the scope of authorization, and can ask it to forget specific information. The product has launched in the United States on iOS, Android, and muse.ai, and will soon arrive on AI glasses; most features are free, with a subscription plan also offered. Subsequently, on September 11, David Singleton said the personal avatar feature was the first feature he fell in love with; on September 18, Tarek Sheasha shared a user's experience and invited users to edit the Muse feed prompt; on September 23, Alex Cornell looked back at the "status" status pill in Muse's earliest design drafts and its design philosophy; on September 28, in response to a user's claim that Muse disclosed a buyer's home address to a Facebook Marketplace seller, David Singleton said he had replied to the person on Threads and sent a direct message, and was willing to assist with the investigation.

    On September 9, 2026, Meta released the personal AI agent Muse, powered by the Muse Spark model. It can be used for conversations in the Muse app or on WhatsApp, and can carry out tasks such as sending emails, booking itineraries, filling out forms, and negotiating prices, and it comes back to confirm when approval is needed. Muse runs on a dedicated cloud virtual machine, Muse Secure VM, with an independent Sentinel agent governing its networking behavior. Users can choose which apps to connect

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Friday

  1. Story1 reports · 1 facts

    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.

    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

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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

Sunday

  1. Story3 reports · 0 facts

    Meta is going all in on Muse, and this AI app is quickly gaining popularity

    On September 25, 2026, reports said Meta heavily promoted its AI app Muse at the annual Meta Connect developer conference. According to Sensor Tower estimates, Muse has surpassed 3.4 million downloads since launching on September 8, up from 2.5 million earlier this week; estimates from other firms vary widely, with Apptopia counting 4.3 million and Appfigures about 2.3 million. The report also said Muse topped the U.S. App Store on September 18 and has held the top spot since, and reached the top of Google Play on September 19. On the same day, another report said Meta put the Muse agent at the center of the conference and announced features including Computer Use, a dedicated email address, a digital avatar, and the pocket device Muse Charm. Subsequently, Meta opened early access applications for new Muse features on September 25; launched the Meta Enterprise Platform on September 28, incorporating Muse and others into its enterprise technology stack; announced on September 29 that it would expand Muse to small businesses and add multiple integrations; and on October 7, the Muse iOS app added native iPad support and integrated more third-party tools.

    On September 25, 2026, reports said Meta heavily promoted its AI app Muse at the annual Meta Connect developer conference. According to Sensor Tower estimates, Muse has surpassed 3.4 million downloads since launching on September 8, up from 2.5 million earlier this week; estimates from other firms vary widely, with Apptopia counting 4.3 million and Appfigures about 2.3 million. The report also said Muse topped the U.S. App Store on September 18 and has held the top spot since, and reached the to

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