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Wednesday

  1. SiliconANGLE

    Arda Industries raises $232 million to make production lines easier to adjust with AI

    Arda Industries officially launched with $232 million in funding, led by Accel, Altimeter, Founders Fund and Khosla Ventures, with participation from XYZ Venture Capital, 8VC, SVAngel and Felicis. The company's co-founder and CEO is Bob McGrew, former Chief Research Officer at OpenAI. Its platform lets users upload product blueprints and then automatically plan production lines, determine which robots to use and generate visual work instructions. Its current customers are concentrated in defense and data center electronics; Anduril uses it to optimize production lines. The company's long-term plan is to enter the consumer electronics market and develop AI agents that can adapt to new equipment within days.

    Arda Industries officially launched with $232 million in funding, led by Accel, Altimeter, Founders Fund and Khosla Ventures, with participation from XYZ Venture Capital, 8VC, SVAngel and Felicis. The company's co-founder and CEO is Bob McGrew, former Chief Research Officer at OpenAI. Its platform lets users upload product blueprints and then automatically plan production lines, determine which robots to use and generate visual work instructions. Its current customers are concentrated in defense

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  2. 9to5Mac

    Apple is hiring cellular modem engineers to prepare for the transition to 6G

    Apple has posted a 6G cellular modem systems engineer position with an annual salary of $175,000 to $308,500, plus stock awards, requiring at least 10 years of cellular technology experience and listing experience with generative AI and LLM tools as a minimum qualification. The role involves defining next-generation modem features, designing performance and power-efficiency algorithms, and driving technology into implementation. The first official 6G technical specification is expected to be finalized by the end of 2028, with commercial networks and compatible devices expected to appear around 2030.

    Apple has posted a 6G cellular modem systems engineer position with an annual salary of $175,000 to $308,500, plus stock awards, requiring at least 10 years of cellular technology experience and listing experience with generative AI and LLM tools as a minimum qualification. The role involves defining next-generation modem features, designing performance and power-efficiency algorithms, and driving technology into implementation. The first official 6G technical specification is expected to be fin

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  3. Josh Woodward

    Google executive relays Sundar's remarks on frontier AI commitment

    Josh Woodward quoted Sundar Pichai as saying that Google is "so committed to being at the frontier, it's in our DNA," and called on everyone to join in building it. The post also cited Alex Kantrowitz's interview with Pichai, covering topics including Google's frontier AI strategy, recursive self-improvement, and balancing DeepMind's compute needs with Google Cloud profits.

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  4. Rohan Paul

    Meta's AI agent Muse reaches 10.2 million US downloads in 40 days since launch

    Meta's AI agent Muse reached 10.2 million US downloads within 40 days, a pace only 11 apps have ever achieved in history, most of which are mobile games. Its US 7-day retention rate is 30% and 14-day retention rate is 23%, compared with competitor averages of 19% and 16% respectively; daily active users reached 2.5 million on October 16, up 15% in a week, but still less than a quarter of US downloads.

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  5. AWS Machine Learning

    How Octave built a secure multi-tenant AI foundation on Amazon Bedrock

    Octave built a three-tier multi-tenant AI foundation on Amazon Bedrock for the quality management platform Reliance, cutting deployment time per use case by 50%. The foundation uses Cohere Embed v4 to embed 2 billion documents, executes Anthropic Claude models through AgentCore Gateway and isolated microVMs, and Guardrails filters content on both the input and output sides. Reliance serves more than 650 enterprise customers across 180 countries.

    High-level architecture of Octave’s AI foundation

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  6. AWS Machine Learning

    From Data to Decisions: Building Conversational Supply Chain Intelligence with Amazon Quick and Amazon Bedrock AgentCore

    The combination of Amazon Quick and Amazon Bedrock AgentCore turns supply chain data from systems such as ERP, monitoring, and procurement into a conversational MCP tool layer, so users can get cross-system answers in natural language. In the example, a TechComp production stoppage event is assessed via assess_disruption_impact, which finds a $750K risk, 23 orders, and three days of inventory, and recommend_mitigation then chains together governance and quoting tools to generate an emergency RFQ. All changes require approval from designated personnel, and the same workflow can also be triggered to run automatically on a schedule or by email.

    Diagram showing domain expertise with business users while operational data is split across ERP, monitoring, procurement, and email systems

    The combination of Amazon Quick and Amazon Bedrock AgentCore turns supply chain data from systems such as ERP, monitoring, and procurement into a conversational MCP tool layer, so users can get cross-system answers in natural language. In the example, a TechComp production stoppage event is assessed via assess disruption impact, which finds a $750K risk, 23 orders, and three days of inventory, and recommend mitigation then chains together governance and quoting tools to generate an emergency RFQ

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  7. AWS Machine Learning

    i14 Trains and Deploys the Laplace 3B Linear Attention Model on AWS Trainium2 Using Native PyTorch

    i14 partnered with AWS to train and deploy Laplace 3B, based on Gated Linear Attention, on AWS Trainium2 using TorchNeuron Native. A single trn2.48xlarge achieves a training throughput of about 120,000 tokens/s. The model's recurrent state per sequence is fixed at 29.5 MB and does not grow with context length; inference reaches 11,544 output tokens/s at 1,280 concurrent sequences. The team also reworked Muon's all_to_all communication to cut per-GPU communication volume by 24x and raise training throughput by 1.63x.

    NeuronCore-v3 internal architecture

    i14 partnered with AWS to train and deploy Laplace 3B, based on Gated Linear Attention, on AWS Trainium2 using TorchNeuron Native. A single trn2.48xlarge achieves a training throughput of about 120,000 tokens/s. The model's recurrent state per sequence is fixed at 29.5 MB and does not grow with context length; inference reaches 11,544 output tokens/s at 1,280 concurrent sequences. The team also reworked Muon's all to all communication to cut per-GPU communication volume by 24x and raise training

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  8. t3n

    AI agents: Developer builds Geneva digital twin with Claude

    Since July 2026, Swiss developer Arnaud Ricci has used models such as Claude to drive up to 15 AI agents and, in about three months, built Genève 3D, a digital twin application for the canton of Geneva. He believes that without AI agents, the project would have taken two to three years. The browser application is based on a self-developed Three.js engine and integrates data from more than 15 organizations, including SITG, OpenStreetMap, MeteoSwiss, Swisstopo, EUMETSAT, and NASA. It can render buildings, roads, and trees in 3D, as well as running buses, trains, and aircraft and real-time weather. Because vehicle positions are estimated only from official timetables and delay information, with no real-time GPS positioning, the map is not suitable for actual travel planning.

    Since July 2026, Swiss developer Arnaud Ricci has used models such as Claude to drive up to 15 AI agents and, in about three months, built Genève 3D, a digital twin application for the canton of Geneva. He believes that without AI agents, the project would have taken two to three years. The browser application is based on a self-developed Three.js engine and integrates data from more than 15 organizations, including SITG, OpenStreetMap, MeteoSwiss, Swisstopo, EUMETSAT, and NASA. It can render bu

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  9. TechCrunch AI

    Meta's AI app Muse reaches 10.2 million US downloads 40 days after launch

    Meta's AI app Muse has accumulated 10.9 million downloads since launching in September, including 10.2 million in the US market, making it one of the few apps to reach that scale within 40 days of launch. Sensor Tower data shows that Muse's 7-day retention rate in the US is 30% and its 14-day retention rate is 23%, above the averages of 19% and 16% for ChatGPT, Claude, and Grok; on October 16, its daily active users reached 2.5 million for the first time, up 15% month over month. In October, Meta allocated 39% of its advertising spend to promoting Muse, up from 23% the previous month.

    Meta's AI app Muse has accumulated 10.9 million downloads since launching in September, including 10.2 million in the US market, making it one of the few apps to reach that scale within 40 days of launch. Sensor Tower data shows that Muse's 7-day retention rate in the US is 30% and its 14-day retention rate is 23%, above the averages of 19% and 16% for ChatGPT, Claude, and Grok; on October 16, its daily active users reached 2.5 million for the first time, up 15% month over month. In October, Met

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  10. TechCrunch AI

    Bloomberg says Schmidt holds about 1% stake in Anthropic

    According to Bloomberg, former Google CEO Schmidt participated in Anthropic's Series A funding round in 2021, investing tens of millions of dollars, and currently holds about 1% of the company. The report says this proportion is about half of the 2% held by co-founder and CEO Dario Amodei; Anthropic is widely expected to go public before the end of the year, with a maximum valuation expectation of $2 trillion, at which point the value of Schmidt's stake could increase by as much as $20 billion. Neither Schmidt nor Anthropic immediately responded to requests for comment.

    According to Bloomberg, former Google CEO Schmidt participated in Anthropic's Series A funding round in 2021, investing tens of millions of dollars, and currently holds about 1% of the company. The report says this proportion is about half of the 2% held by co-founder and CEO Dario Amodei; Anthropic is widely expected to go public before the end of the year, with a maximum valuation expectation of $2 trillion, at which point the value of Schmidt's stake could increase by as much as $20 billion.

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  11. TechCrunch AI

    Anthropic proposes draft AI safety bill that would block model releases when risk of 50+ deaths exists

    Anthropic has pitched a draft AI safety bill to Congress that would allow a model's release to be blocked when it poses a foreseeable, imminent risk that could cause 50 or more deaths or more than $1 billion in property damage. The risk must stem from the manufacture of bioweapons, the model evading its developer's control, or cyberattacks. The draft requires an independent evaluator registered with the U.S. Department of Commerce to determine the risk; the evaluator must report within 72 hours, after which the Commerce Department would apply to a Washington, D.C., judge for an order to halt the release. Federal agencies would not be allowed to decide on blocking a release themselves.

    Anthropic has pitched a draft AI safety bill to Congress that would allow a model's release to be blocked when it poses a foreseeable, imminent risk that could cause 50 or more deaths or more than $1 billion in property damage. The risk must stem from the manufacture of bioweapons, the model evading its developer's control, or cyberattacks. The draft requires an independent evaluator registered with the U.S. Department of Commerce to determine the risk; the evaluator must report within 72 hours,

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  12. Simon Willison

    Simon Willison built Battle Drones, an audio-networked RTS game, with Claude Code

    Simon Willison released Battle Drones, a real-time strategy game developed entirely through vibe coding with Claude Code. It went through 12 major versions and 321 commits and runs in mobile and desktop browsers. The game includes 9 building types, 7 ground vehicles, 6 air vehicles and 3 infantry units, and supports fog of war, random map generation, AI versus AI, and an Agent battle mode in which two LLMs fight each other. He also implemented a multiplayer method in which two devices synchronize game state via microphone audio, and because the audio caused headaches, he added online multiplayer based on a WebSockets relay server.

    Simon Willison released Battle Drones, a real-time strategy game developed entirely through vibe coding with Claude Code. It went through 12 major versions and 321 commits and runs in mobile and desktop browsers. The game includes 9 building types, 7 ground vehicles, 6 air vehicles and 3 infantry units, and supports fog of war, random map generation, AI versus AI, and an Agent battle mode in which two LLMs fight each other. He also implemented a multiplayer method in which two devices synchroniz

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  13. 36Kr · AISelected

    OpenAI advances roughly $30 billion funding round, aiming to lock in investors ahead of Anthropic's IPO

    According to Reuters, OpenAI is accelerating a roughly $30 billion funding round, targeting a valuation above $1.4 trillion, seeking to lock in investors before Anthropic's expected mid-November IPO; existing investors including SoftBank and Abu Dhabi's MGX are in talks to participate. OpenAI told investors that growth accelerated after the release of GPT-6 Astra, with annualized revenue already at $50 billion and expected to rise to $70 billion by year-end; Anthropic said its third-quarter revenue rose from $11.6 billion to $16.8 billion, but slowing month-over-month growth has raised valuation concerns. The two also differ on revenue recognition: OpenAI recognizes revenue on a net basis and has accused Anthropic of recognizing revenue on a gross basis under third-party cloud vendor contracts.

    According to Reuters, OpenAI is accelerating a roughly $30 billion funding round, targeting a valuation above $1.4 trillion, seeking to lock in investors before Anthropic's expected mid-November IPO; existing investors including SoftBank and Abu Dhabi's MGX are in talks to participate. OpenAI told investors that growth accelerated after the release of GPT-6 Astra, with annualized revenue already at $50 billion and expected to rise to $70 billion by year-end; Anthropic said its third-quarter reve

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Tuesday

  1. Google BlogSelected

    Google Brings Gemini and Personal Intelligence to Global In-Car Scenarios

    Google announced that Gemini is now available globally on Android Auto and in cars with Google built in, and has begun rolling out Personal Intelligence, which, with authorization, can connect to Workspace (including Gmail and Google Calendar), Google Photos, Google Maps, YouTube, and Search to answer questions such as flight gate numbers, restaurants along the route, and locations in photos. Personal Intelligence begins rolling out on Android Auto today, with cars with Google built in to follow over the coming months. It is currently available to eligible personal Google accounts for users aged 18 and over, excludes Workspace business, enterprise, and education users, and is not available in the European Economic Area, Switzerland, the United Kingdom, or Nigeria.

    Center of image is a photo of a 1st-person point of view of driving a car. On the circumference of the circle are the Gemini logo and various prompts. The bottom of the image has the text "Personal Intelligence hits the road".

    Google announced that Gemini is now available globally on Android Auto and in cars with Google built in, and has begun rolling out Personal Intelligence, which, with authorization, can connect to Workspace (including Gmail and Google Calendar), Google Photos, Google Maps, YouTube, and Search to answer questions such as flight gate numbers, restaurants along the route, and locations in photos. Personal Intelligence begins rolling out on Android Auto today, with cars with Google built in to follow

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