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Report says Texas data center expansion could erase decades of air quality improvements

A report by the Houston Advanced Research Center (HARC) says that if all planned data centers in Texas are connected to the grid and powered under the expected grid structure, fine particulate pollution from the power sector will more than triple within five years, reaching the highest level since 2006; haze-forming NOx emissions will increase by 136%, approaching 2004 levels; and carbon dioxide emissions will be 90% higher than in 2025. The report models three data center energy consumption forecasts and notes that if data centers are paired with self-built renewable energy, NOx emissions could be as much as 10 times lower, but if gas-fired generation is built on-site to avoid grid interconnection queues, pollution could instead be the highest. Texas currently ranks first in the U.S. data center market with 26 GW of under-construction and existing capacity.

Meta says its AI app Muse has over 10 million users, with shopping among the main uses

Meta said at its third-quarter earnings call that its AI app Muse now has more than 10 million users, with about 25% of registered users using it daily. Zuckerberg said that among active users who shop using the Muse agent, more than a quarter spend an average of over $200 per transaction, and that Muse enables agentic shopping through a Plaid connector. He also said Muse has achieved product-market fit, and that the next step is to scale up, grow revenue, and optimize compute costs, with cost efficiency expected to improve more than 10-fold over the next year.

One-year-old AI lab Flapping Airplanes raises $1 billion Series A at a $6 billion valuation

One-year-old AI lab Flapping Airplanes announced it has raised a $1 billion Series A co-led by Index and Lux, reportedly at a $6 billion valuation. This comes just nine months after its $180 million seed round at a $150 million valuation, quadrupling its valuation. The founding team says its megakernel framework can complete training, inference, and game running in a single kernel, with the goal of enabling models to complete training with less data.

Gartner says AI infrastructure will need $8.5 trillion in revenue by 2030, with a gap of nearly $4.9 trillion

Gartner estimates that data center owners will need to generate a cumulative $8.5 trillion in revenue by 2030 to cover announced capital expenditures and financing costs and achieve a 12% return on investment, but over the same period, enterprise and consumer AI revenue attributable to these data centers will not exceed $3.6 trillion, leaving a gap of about $4.9 trillion. Gartner expects AI infrastructure spending to approach $1 trillion in 2026, with another $6 trillion invested from 2027 to 2030. If the current pace continues, more than $3.5 trillion in AI infrastructure spending could face impairment by 2030. Gartner also predicts that by 2030, cost pressures and the lack of differentiated business models will force more than 80% of neocloud providers to cease independent operations.

Legal AI company Legora completes $550 million Series E funding at an $8.8 billion valuation

Stockholm-based legal AI startup Legora announced the completion of $550 million in late-stage funding at a post-money valuation of $8.8 billion, led by Atreides Management, with new investors including Baron Capital, Capital Group, Fidelity, and J.P. Morgan participating, and existing investors Accel, Benchmark, and Bessemer all following on. After this round, the company has raised a cumulative $866 million, with ARR now exceeding $200 million, having grown from $1 million to $100 million in under 18 months. Legora provides legal AI agents and currently serves more than 140,000 legal professionals across 80 markets and over 2,400 law firms and corporate legal teams; the funds will be used for expansion in North America, Europe, and Asia-Pacific, and to increase investment in its agentic legal operating system aOS.

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

Meta's AI assistant Muse reached 10.2 million downloads in the US within 40 days of launch, with 10.9 million cumulative downloads worldwide, becoming only the 12th app to reach that milestone. Sensor Tower data shows that in October Meta allocated 39% of its total advertising budget to promoting Muse, up from 23% the previous month. Muse's 7-day retention rate in the US is 30% and its 14-day retention rate is 23%, higher than the 19% and 16% averages of competitors such as ChatGPT, Claude, and Grok.

Swedish legal AI company Legora closes $550 million Series E at an $8.8 billion valuation

Swedish legal AI company Legora announced the close of a $550 million Series E round at an $8.8 billion valuation, up from $5.6 billion at its Series D six months earlier. The round was led by new investor Atreides Management, with new investors including Baron Capital, Capital Group, Fidelity, Glade Brook Capital Partners and JP Morgan participating, while existing investors such as Accel, Benchmark and Bessemer Venture Partners continued to follow on. Legora said its technology is shifting from an AI assistant to an AI agent capable of executing multi-step tasks; in-house legal teams accounted for more than 40% of new customers added in the third quarter, the United States has become its largest market, and the new funding will be used for expansion in North America, Europe and Asia-Pacific as well as investment in its agent operating system.

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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.

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.

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.

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.

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.

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.

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