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
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
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
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
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
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
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.
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
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.
Three authors from The Verge spent a week testing five laptops powered by Nvidia's RTX Spark N1X chip, including the 128GB Surface Laptop Ultra, Asus ProArt P16, Lenovo Yoga 9n, and HP OmniBook Ultra, priced from $3,199.99 to $6,999.99. For gaming, medium settings plus DLSS Performance mode held a steady 60fps in most games, but CPU-bound scenarios such as Helldivers 2 struggled to hit that mark; the authors place its graphics performance roughly between the RTX 5070 and RTX 5060 Laptop GPU. The local AI experience still feels like a developer testing phase: generating a news briefing with Qwen3.8-27B took 10 minutes and consumed 10% of the battery, while battery life for web-based office work came in at around 5 hours.
Three authors from The Verge spent a week testing five laptops powered by Nvidia's RTX Spark N1X chip, including the 128GB Surface Laptop Ultra, Asus ProArt P16, Lenovo Yoga 9n, and HP OmniBook Ultra, priced from $3,199.99 to $6,999.99. For gaming, medium settings plus DLSS Performance mode held a steady 60fps in most games, but CPU-bound scenarios such as Helldivers 2 struggled to hit that mark; the authors place its graphics performance roughly between the RTX 5070 and RTX 5060 Laptop GPU. The
The HP OmniBook Ultra 16 is a 16-inch mobile workstation powered by an Nvidia RTX Spark N1X processor; the review unit features a 20-core CPU, a 6,144-core Blackwell GPU, and 32 GB of LPDDR5x-9400 memory. It has a 16-inch 3K (2880 x 1800) 120 Hz OLED touchscreen, runs Windows 11 26H1, and in testing delivered just over 6.5 hours of battery life; gaming performance beats Snapdragon X2, but fan noise is closer to that of an ordinary x86-64 PC.
The New Stack tested running local AI models on the Microsoft Surface Laptop Ultra (Nvidia N1X platform, Blackwell RTX GPU, 64GB of memory, $4,300 configuration): Nemotron 3.5 Bolt reached 56-60 tokens/s, while 8-bit Qwen 3.8 27B managed only 8-9 tokens/s, recovering to 25-28 tokens/s after dropping to 4-bit. On battery, AI workload performance dropped by about 20%-25%, inconsistent with Microsoft's claim of retaining 99.6%.
Collective[i] co-founder Stephen Messer wrote an article rebutting AI doomsday theories, pointing out that the AI revolution has been underway for thirteen years and large language models have been widely adopted for three years, yet the U.S. unemployment rate remained in the 4.3% to 4.5% range from 2025 through the first three quarters of 2026. He cited a March 2026 paper by Anthropic economists and Danish data covering 25,000 employees and 7,000 enterprises, saying no rise in unemployment was found in jobs highly exposed to AI. He believes doomsayers shifted from job threats to AGI existential risks because dangerous narratives make them appear important.
Collective[i] co-founder Stephen Messer wrote an article rebutting AI doomsday theories, pointing out that the AI revolution has been underway for thirteen years and large language models have been widely adopted for three years, yet the U.S. unemployment rate remained in the 4.3% to 4.5% range from 2025 through the first three quarters of 2026. He cited a March 2026 paper by Anthropic economists and Danish data covering 25,000 employees and 7,000 enterprises, saying no rise in unemployment was