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  1. QbitAISelected

    Google Releases Gemini 4 Argon, Limited-Time Half-Price API

    Google has released its flagship model Gemini 4 Argon, focused on coding, professional knowledge work, and sustained execution of complex tasks. The API launch price is $2 per million input tokens and $10 per million output tokens, with the discount running through November 30; from December 1, prices return to $4 and $20. On the third-party Artificial Analysis Intelligence Index, Argon High ties with GPT-6 Astra Max and Claude Fable5.1 Max at 53 points, at an average cost of $1.99 per task, about 39% lower than Astra. Google says that on an ADK project it worked unattended continuously for 11 hours, proposed six optimization plans involving 32 files, and ran 16,892 tests, two of which were merged, reducing long-session memory preparation overhead by about 40%.

    Google has released its flagship model Gemini 4 Argon, focused on coding, professional knowledge work, and sustained execution of complex tasks. The API launch price is $2 per million input tokens and $10 per million output tokens, with the discount running through November 30; from December 1, prices return to $4 and $20. On the third-party Artificial Analysis Intelligence Index, Argon High ties with GPT-6 Astra Max and Claude Fable5.1 Max at 53 points, at an average cost of $1.99 per task, abo

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  2. heise online

    RTX Spark laptop tested: How does Nvidia's first local AI laptop chip perform?

    heise online's c't 3003 tested the Asus ProArt P14, which is equipped with Nvidia's first laptop chip, the N1X (brand name RTX Spark). The machine supports up to 128 GB of unified memory; the test unit had 32 GB of memory plus a 1 TB SSD and cost 3,300 euros. In llama-bench tests with Qwen 3.8-27B, generation speed was about 14.5 tokens/s, slightly faster than Apple M6 and Strix Halo but slower than M5 Pro; with the MoE model Qwen 3.6-35B-A3B, it reached nearly 61 tokens/s. Prompt processing speed was better than Strix Halo and the M5 Pro and M6, but fan noise under full load reached up to 2.7 sone, and the fans also spin up when idle. The author also tried installing Ubuntu; after manually adding the drivers, both models ran 14% and 9% faster under Linux than under Windows.

    heise online's c't 3003 tested the Asus ProArt P14, which is equipped with Nvidia's first laptop chip, the N1X (brand name RTX Spark). The machine supports up to 128 GB of unified memory; the test unit had 32 GB of memory plus a 1 TB SSD and cost 3,300 euros. In llama-bench tests with Qwen 3.8-27B, generation speed was about 14.5 tokens/s, slightly faster than Apple M6 and Strix Halo but slower than M5 Pro; with the MoE model Qwen 3.6-35B-A3B, it reached nearly 61 tokens/s. Prompt processing spe

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  3. 9to5Mac

    HomePod to Gain Three New Features via Free Software Update

    Apple has announced that existing HomePod 2 units will gain three new features via a free software update: Sound Glow, which lets the top change color to match album artwork and pulse with the music, the ability to set it as a Mac's default speaker, and support for four HomePods paired with Apple TV 4K (4th generation) to form a home theater surround sound setup. These features are expected to arrive later this month with iOS 27.2 and HomePod 27.2.

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  4. CNET

    Meta and Apple Partner to Release Open-Weight Model Muse Spark Open

    Meta has released the open-weight model Muse Spark Open and worked with Apple's hardware team to enable it to run efficiently on the M5 Mac Studio Ultra. The model has 42 billion active parameters, a 1 million token context window, and multimodal capabilities. Meta says it performs well on agentic and coding tasks, and the weights have been made public on HuggingFace under Meta's Muse Model license. Running the model on an Apple computer requires two Mac Studios equipped with the M5 Ultra, each starting at $5,499.

    Meta has released the open-weight model Muse Spark Open and worked with Apple's hardware team to enable it to run efficiently on the M5 Mac Studio Ultra. The model has 42 billion active parameters, a 1 million token context window, and multimodal capabilities. Meta says it performs well on agentic and coding tasks, and the weights have been made public on HuggingFace under Meta's Muse Model license. Running the model on an Apple computer requires two Mac Studios equipped with the M5 Ultra, each

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  5. Google Blog

    Gemini Notebook adds 3 new learning features

    Gemini Notebook launches three new learning features: it can generate a 60-second Short Video Overview to quickly grasp difficult concepts, create an Interactive Learning Overview in Reports to work through notes, lectures, and reading materials step by step, and adds three new quiz formats: short answer, multiple choice, and fill-in-the-blank. All content is generated strictly based on the user's own course materials, and it can be tried at notebook.google.

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Saturday

  1. Viggle AI

    Viggle Animate 2 Opens Limited Private Beta Spots

    Viggle AI has announced that its new model Viggle Animate 2 is opening a limited number of private beta spots, available only this weekend. Users can reply or send a direct message to apply for early access, and are required to provide feedback on their experience and share their creations on X.

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  2. Fortune Tech

    Milken Institute Executive: Anthropic and OpenAI IPOs Will Bring a Third Wave of Charitable Giving

    Melissa Stevens, Executive Vice President of Strategic Philanthropy at the Milken Institute, believes that the upcoming IPOs of Anthropic and OpenAI, each valued at at least $1 trillion, will spur a new wave of charitable giving, expected to add $37 billion annually to the philanthropic sector. Citing data showing U.S. charitable giving reached $617 billion in 2026, she advises newly wealthy tech professionals to first establish a giving identity aligned with their own values, and then address complex issues such as hunger and plastic pollution through systematic approaches.

    Melissa Stevens, Executive Vice President of Strategic Philanthropy at the Milken Institute, believes that the upcoming IPOs of Anthropic and OpenAI, each valued at at least $1 trillion, will spur a new wave of charitable giving, expected to add $37 billion annually to the philanthropic sector. Citing data showing U.S. charitable giving reached $617 billion in 2026, she advises newly wealthy tech professionals to first establish a giving identity aligned with their own values, and then address c

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  3. Fortune Tech

    Giorgos Tsetis: No one bears personal responsibility for AI, and this must change

    Giorgos Tsetis, co-founder of Nutrafol and an AI investor, is calling for executives of AI companies to bear personal legal liability, rather than having the company simply pay a fine and be done with it. He noted that an agreement on internal risk controls, independent audits, and board-level safety oversight signed at the White House in late September by leaders of several major AI companies is entirely voluntary, and no one has yet been held personally accountable. Drawing on his own experience running a supplements company, he explained that personal liability prompts companies to proactively identify risks and put safeguards in place in advance, and when necessary to slow down or say no.

    Giorgos Tsetis, co-founder of Nutrafol and an AI investor, is calling for executives of AI companies to bear personal legal liability, rather than having the company simply pay a fine and be done with it. He noted that an agreement on internal risk controls, independent audits, and board-level safety oversight signed at the White House in late September by leaders of several major AI companies is entirely voluntary, and no one has yet been held personally accountable. Drawing on his own experien

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  4. Unite.AI

    What Is a Native Audio Model? How Speech-to-Speech AI Skips the Transcription Step

    Native audio models process or generate acoustic representations directly, preserving information such as timing, intonation, and speaker cues that text transcription would discard. They are fundamentally different from the "transcribe to text first, then synthesize speech" pipeline: the latter changes the causal chain, and the evidence of success, the sources of cost, and the approach to risk control all differ. The article breaks down its workflow into five stages: converting waveforms into audio tokens, modeling speech and non-speech context, inferring semantics and dialogue state, generating audio tokens, and decoding natural speech.

    Native audio models process or generate acoustic representations directly, preserving information such as timing, intonation, and speaker cues that text transcription would discard. They are fundamentally different from the "transcribe to text first, then synthesize speech" pipeline: the latter changes the causal chain, and the evidence of success, the sources of cost, and the approach to risk control all differ. The article breaks down its workflow into five stages: converting waveforms into au

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  5. cnBeta

    Claude web and desktop now offer a Chinese interface, but mainland China is still not on the list of supported regions

    Claude web and desktop have added a language selector, and the interface now supports Chinese (Simplified) and Chinese (Traditional), among more than thirty languages; the mobile app has not yet followed suit. In the billing country drop-down menu on the checkout page, China appears, and both the $20 Pro and $200 Max plans are selectable, but the official list of supported regions still does not include mainland China, Hong Kong, or Macao. Anthropic has previously imposed account bans and identity verification restrictions on access from unsupported regions; this Chinese interface is mainly aimed at overseas Chinese users.

    Claude web and desktop have added a language selector, and the interface now supports Chinese (Simplified) and Chinese (Traditional), among more than thirty languages; the mobile app has not yet followed suit. In the billing country drop-down menu on the checkout page, China appears, and both the $20 Pro and $200 Max plans are selectable, but the official list of supported regions still does not include mainland China, Hong Kong, or Macao. Anthropic has previously imposed account bans and identi

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  6. SiliconANGLE

    RapidCanvas Raises $29 Million Series B to Build Custom AI Apps for Enterprises

    RapidCanvas announced the completion of a $29 million Series B funding round led by Vertex Ventures SEA & India, with participation from Hitachi Ventures, Accel, Peak XV Partners and others; the company had previously received $16 million in investment in 2024. Its Enterprise AI Platform can automate about 60% of the work of building AI applications, and has served more than 75 customers in manufacturing, finance, retail and other industries, with annualized revenue growing 8x over the past 18 months. The new funds will be used to expand its marketing and AI engineering teams.

    RapidCanvas announced the completion of a $29 million Series B funding round led by Vertex Ventures SEA & India, with participation from Hitachi Ventures, Accel, Peak XV Partners and others; the company had previously received $16 million in investment in 2024. Its Enterprise AI Platform can automate about 60% of the work of building AI applications, and has served more than 75 customers in manufacturing, finance, retail and other industries, with annualized revenue growing 8x over the past 18 m

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  7. SiliconANGLE

    Vinci Uses Physical AI to Accelerate Chip Design

    Vinci4D showcased its physical AI solution at SEMICON West, combining physics foundation models with GPU-native physics kernels in what it calls Continuous Physics Reasoning, enabling engineers to obtain both accuracy and fast physics simulation at design speed. The model is trained on Vinci's proprietary data, deployed within customers' firewalls, and can directly read existing design files. Its $250 million Series B funding will support expansion into electromagnetics, fluid dynamics, and the automotive and aerospace sectors.

    Vinci4D showcased its physical AI solution at SEMICON West, combining physics foundation models with GPU-native physics kernels in what it calls Continuous Physics Reasoning, enabling engineers to obtain both accuracy and fast physics simulation at design speed. The model is trained on Vinci's proprietary data, deployed within customers' firewalls, and can directly read existing design files. Its $250 million Series B funding will support expansion into electromagnetics, fluid dynamics, and the

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