Anthropic revenue triples but losses return

ANTHROPIC

Anthropic's revenue triples but profit vanishes

The Yuzu Squeeze: Anthropic just revealed in an amended S-1 that Q3 revenue surged to nearly $17 billion, up 12x year over year, while swinging to a $567 million operating loss.

The details:

• Compute and infrastructure costs climbed to $9.9 billion in Q3, a 4x jump versus a year earlier.
• Anthropic's adjusted operating margin fell to 15% from 19% the prior quarter despite the revenue growth.
• The company disclosed $895 billion in compute and infrastructure commitments, with IPO pricing expected by mid-November.

Why it matters: The swing back to a loss shows that even Anthropic's blistering growth can't outrun its compute bill, a tension investors will have to price into the IPO. With no October revenue disclosed yet, the amended filing raises as many questions as it answers before pricing lands.

MARVELL

Marvell buys Lumentum for $115B, challenges Broadcom

The Yuzu Squeeze: Marvell just announced an all-stock acquisition of Lumentum valued at $115 billion including debt, pushing the custom AI chip maker into optical networking and direct competition with Broadcom.

The details:

• Lumentum shareholders get 4.5 Marvell shares each, worth about $1,132, a 23.9% premium to Oct. 28's close.
• Marvell estimates the combined company can address a market of up to $550 billion, with over $1 billion in annual cost synergies.
• Nvidia invested $2 billion each in Marvell and Lumentum earlier this year; the deal is expected to close in the first half of 2028.

Why it matters: The deal shows AI infrastructure bottlenecks have shifted from chips to the optical links connecting them, with LightCounting projecting a $100 billion optical interconnect market by 2030. Marvell is betting vertical integration can close the gap with Broadcom, but Wall Street is split on whether the price is justified.

APPLE

Qwen becomes Apple Intelligence's engine in China

The Yuzu Squeeze: Alibaba just announced a partnership to integrate its Qwen model into Apple Intelligence for Chinese users, with testing starting in the iOS developer beta on November 4.

The details:

• Qwen powers Siri, Writing Tools and Visual Intelligence for text and image understanding and content generation.
• Official rollout lands with iOS 27.3 in December; users can opt in and choose what data to share.
• Alibaba says it won't use user requests or generated responses to train its own models.

Why it matters: This marks the first time a top global consumer hardware maker has used a Chinese large model as its primary system-level AI backbone in China, according to Beijing University of Posts and Telecommunications' Wang Xiaojie — a sign China's AI filing approval process is opening doors for domestic models.

DEEPSEEK

DeepSeek raises RMB105.5B Series B, Xiaohongshu joins

The Yuzu Squeeze: DeepSeek just closed Series B financing of RMB105.5 billion, doubling its first round and valuing the company at RMB615.5 billion, with nearly 30 investors including Tencent, CATL and newcomer Xiaohongshu.

The details:

• State-owned capital's share of the round jumped to 27% from just 2% in the first round, with China Mobile, China Telecom, CICC, CITIC and China Life each contributing RMB2-8 billion.
• Tencent invested RMB10 billion, matching its first-round stake for RMB20 billion total; CATL and chairman Zeng Yuqun doubled their stake to RMB10 billion, according to Bloomberg.
• New investors include chipmakers SMIC and CXMT, automaker Geely, and internet platforms Meituan, vivo and Ctrip, each reportedly putting in RMB1-3 billion.

Why it matters: DeepSeek's investor roster, spanning state funds, chipmakers and consumer platforms, shows Beijing consolidating backing behind Liang Wenfeng's lab. For Xiaohongshu, the stake caps a run of AI investments and follows two reorganizations of its internal AI unit in six months.

MILLENNIUM PRIZE

🧮 Redditor claims AI agents cracked a Millennium Prize problem

A post on r/singularity claims that 10,000 agents of an unreleased "next GPT" model worked for about four days to prove the first Millennium Prize problem, a claim shared via a linked YouTube clip and not independently verified.