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Daytona raises $60M Series B at a $1B valuation

Daytona, which provides cloud infrastructure for AI agents, has raised a $60 million Series B at a $1 billion valuation, bringing its total funding to $91 million, with FirstMark leading the round. Its platform provides agents with isolated Linux, Windows, and macOS compute environments through a single API, supports pausing, resuming, and continuing exploration of tasks, and its customers include Anthropic, OpenAI, NVIDIA, Cursor, and Cognition. The company says its revenue run rate grew 25x from January to September, and the new funds will be used to expand its agent cloud platform, scale compute capacity, and hire in San Francisco, Croatia, and Singapore.

Spotify Removed Over 50 Million AI Junk and Spam Songs from Recommendations in One Year

Spotify announced that over the past year it removed more than 50 million songs deemed AI-generated junk content or spam from user recommendations, and adjusted its recommendation system to show more music from human artists. Spotify said its editors likewise will not program content identified as junk or spam, and after the changes, listeners' concerns about such content appearing in recommendations dropped noticeably. Spotify has not yet mandated labeling for all AI tracks, but it introduced an AI Persona badge for artists that use an AI identity and do not represent real people, and it does not recommend music from AI personas; YouTube Music adds labels to AI songs, Deezer allows users to filter AI junk content, and Bandcamp bans AI music entirely.

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Daytona raises a $60 million Series B at a $1 billion valuation

Daytona, which provides cloud sandboxes for AI agents, has raised a $60 million Series B at a $1 billion valuation, led by FirstMark, bringing its total funding to about $91 million. Its customers include Anthropic, OpenAI, Nvidia, Cursor, Cognition, Meta, and Cohere, and CEO Burazin said the company's revenue run rate grew 25-fold between January and September. Daytona says it can provision a new sandbox for an agent within 60 milliseconds by pre-distributing snapshots of configured machines to servers' physical disks.

Eka Robotics Completes $150 Million Series A Funding at a $1.45 Billion Valuation

Eka Robotics has completed a $150 million Series A funding round led by a16z and F-Prime, at a post-money valuation of $1.45 billion. The company was founded by MIT professor Pulkit Agrawal and former Google DeepMind researcher Tuomas Haarnoja. Its vision-force-action model, paired with force-sensing grippers, can grasp about 1,500 objects weighing under 1 kg per hour, with a success rate exceeding 95%; the gripper costs less than $1,000 and is rated for 5 million cycles. The team uses a physics simulator to build reinforcement learning environments, and says it can generate thousands of hours of robot experience within minutes. It is currently running pilots with industrial customers for pick-and-place and cable manipulation.

Tenstorrent raises $1.5B at a $6.2B valuation to expand open-weight AI chips

AI chip startup Tenstorrent has completed a $1.5 billion funding round at a valuation of $6.2 billion, more than double its $2.6 billion valuation at the end of 2024. The round was led by Trace Capital and Innovation X, with participation from Cadence Ventures, Eclipse, Fidelity, SanDisk, and T. Rowe Price. CEO Jim Keller said the company decided to remain independent and continue raising funds after demonstrating that its Galaxy servers can run DeepSeek models, and that the new capital will be used to expand chips for open-weight model inference and video generation.

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Former Google DeepMind researcher founds London AI company Metis Reasoning, focusing on compute-efficient reasoning

Metis Reasoning, a London AI company co-founded by former Google DeepMind research lead and AlphaGo co-creator Thore Graepel, has officially launched, seeking a compute-efficient path distinct from the frontier models of Anthropic and OpenAI, and is believed to have raised tens of millions of dollars in initial funding. The company has a team of 12 people, including researchers, mathematicians, robotics experts, and technology entrepreneurs. It believes that LLMs have fundamental limitations in reasoning, that results are difficult to verify, and that there is a lack of audit trails; its approach is more verifiable, more robust, and safer, and it says it has already achieved some positive results on frontier reasoning problems at a cost far below that of frontier models. Metis has not yet announced a release date for its first AI model.

Salesforce Announces $5.66 Billion Acquisition of Marketing Automation Company Braze

Salesforce announced it will acquire marketing automation company Braze for $5.66 billion in cash, or $47.5 per share, a premium of about 58% over Braze's previous closing price. Braze's revenue grew 26% year over year last quarter to $227.2 million; its platform aggregates customer data through more than 190 prebuilt connectors and offers BrazeAI to automatically generate marketing materials and Agentic Standards to set constraints for AI-generated campaigns. Salesforce plans to use its technology to enhance Marketing Cloud's cross-channel personalization capabilities, and the deal is expected to close in its fiscal year 2028.

Sam Altman Reportedly Presented Three AI Safety Endgame Options to Employees

The Information, citing people familiar with the matter, reported that OpenAI CEO Sam Altman last week internally proposed three AI safety paths: establishing a regulatory body modeled on the International Atomic Energy Agency (IAEA), a lab merger plan known as the Demis Plan, and a single-developer compute monopoly plan known as the Eliezer Plan. Altman also complained that there are too few speed-limit proposals for AI development, while noting that OpenAI cannot afford to fall behind in the competition, and plans to decide on an IPO path within a year. The United States currently relies on voluntary pre-review of new models, and in June imposed export controls on Anthropic on the grounds that the Fable model posed a jailbreak risk.

Meta AI assistant Muse surpasses 10 million US downloads 40 days after launch

Meta's AI assistant Muse reached 10.2 million US downloads 40 days after launch and 10.9 million cumulative downloads worldwide, becoming only the 12th app to hit this milestone. Sensor Tower data shows that in October Meta allocated 39% of its ad budget to promoting Muse; its US 7-day retention rate was 30% and its 14-day retention rate was 23%, above the competitor averages of 19% and 16%. On October 16, Muse's daily active users reached 2.5 million for the first time; the app is currently available only in the US and Canada.

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DeepSeek-V4.1-Flash-1017 Tops Code Arena WebDev Open-Source Leaderboard

Arena announced that DeepSeek-V4.1-Flash-1017 (Max) surpassed open-source models such as Kimi K3 (Max) with a score of 1670, becoming the highest-ranked open-source model on the Code Arena: WebDev leaderboard, and also surpassed closed-source models such as Claude Opus 5 and Grok 4.7, trailing GPT-6 Sol by only 12 points. The model was launched on October 17, priced at 2 yuan per million tokens for input (cache miss) and 8 yuan for output during peak hours, and 1 yuan for input and 4 yuan for output during idle hours, with a comprehensive cost of about 1/10 that of Kimi K3. Zhidongxi used it to create two cases, an ancient Kaifeng 3D scene and a web-based racing game, both completed in a single attempt, at a total cost of about 6 yuan.