〔Day Digest〕AI Capital Meets Its Stress Test: Anthropic’s Reported $1.2-$1.5T Valuation Range Follows a 40% Downward Reset as Robot Brains Reach 91% Single-Task Success

0. Daily Arc

• **[ESCALATED] Equity reset:** Following the election, Nasdaq recorded its largest one-day decline since the Covid-19 period, technology funds erased their year-to-date gains, the S&P 500 logged its largest one-day fall since “Liberation Day,” and market volume rose more than 50% from the prior session ^[1].
• **[NEW] Washington discontinuity:** The Trump administration canceled a White House meeting of the President’s Council of Advisors on Science and Technology, which the Department of Energy spokesperson confirmed; the White House gave no reason, and Nvidia CEO Jensen Huang and Meta CEO Mark Zuckerberg were committee members ^[2].
• **[NEW] Policy overhang:** Investor concern centered on a Democratic-led Congress potentially slowing AI development and on whether enormous AI capital expenditures can generate adequate returns ^[2].
• **[ONGOING] Split:** Capital-market scrutiny sharpened while the physical AI buildout continued across robotics, data-center cooling, model ecosystems and government-backed technology programs ^{[3][4][5][6][7][8][9]}.

1. AI Capital Reset

• **[NEW] Anthropic roadshow:** Media citing people familiar with the matter said Anthropic PBC plans to begin formal IPO marketing next week and target a listing during the week of November 16, before the US Thanksgiving holiday ^[10].
• **[ESCALATED] Valuation remains unsettled:** A compilation citing Bloomberg reported that some potential investors were prepared to value Anthropic at $1.2-$1.3T, Financial Times-linked reporting put expectations near $1.5T, and the earlier $2T reference was described as falling by as much as 40% ^[3].
• **[ONGOING] Funding benchmark:** Markets previously expected Anthropic to raise more than $80B at a $1.5T valuation, but concern over AI-related equities and spending could force the company to pursue a lower valuation ^[10].
• **[NEW] OpenAI financing:** OpenAI reportedly completed $11B of its latest funding round, expected additional share issuance over the following weeks and a total round of up to $20B, and was valued at roughly $1.25T ^[3].
• **[NEW] OpenAI downsized:** OpenAI initially targeted at least $30B at a $1.4T valuation but reduced its financing plan as market conditions deteriorated ^[3].
• **[ESCALATED] Circular-financing mechanism:** JPMorgan global co-head of cash trading Ron Adler said hyperscalers’ shift toward capital-markets financing encouraged traders to buy upstream components and bottleneck assets, while the resulting circularity was insufficiently scrutinized during favorable markets ^[1].
• **[ONGOING] Weekly tape:** Technology stocks rebounded on Friday but still finished the week down 3% ^[10].

2. Robotics: Capability Meets Cost

• **[NEW] HALO publication:** Apple’s research team submitted the arXiv preprint “Perceptive Humanoid Motion from Simulation” on November 4, disclosed its HALO autonomous-control system for humanoid robots, and released code covering data generation, model training and deployment, including motion generation, motion tracking, task orchestration, simulation and real-robot operation ^[4].
• **[NEW] Single-task performance:** HALO completed 360 individual-task tests across six real environments that had not been pre-scanned or mapped, with an average success rate of 91% ^[4].
• **[NEW] Combined-task performance:** Three types of combination tasks were tested 10 times each and averaged 70% success, while the sequence of ducking under an obstacle, walking to a target and pushing a box achieved only 50% success ^[4].
• **[NEW] Compute footprint:** Apple used 250 Nvidia H100 GPUs for approximately 48 hours to synthesize the main training data; the motion generator used 64 B200 GPUs with imitation learning, while the motion tracker used four H100 GPUs with reinforcement learning and policy distillation ^[4].
• **[ONGOING] Human-assistance caveat:** New physical tasks still required manually written prompts and designed keyframes, some motions used human video or motion-capture material, and the robot relied primarily on visual perception without directly sensing physical contact ^[4].
• **[NEW] Qwen validation:** A headline-level report identifies the Qwen model as the model invoked for validation on the Unitree G1 robot ^[11].
• **[NEW] Optimus business model:** Elon Musk said Tesla’s Optimus robot may use a rental-only model rather than be sold, speaking at the 33rd Baron Investment Conference in New York ^[12].
• **[ONGOING] Optimus cost path:** Musk estimated initial production cost at roughly $30,000 per robot, potentially falling toward $20,000 and much lower over time, while the rental price and eligible work remained undisclosed ^[12].
• **[NEW] Industry coordination:** A general-purpose embodied-AI innovation consortium launched with 42 companies and institutions, including Fudan University’s School of Future Information Innovation, the National and Local Co-Built Humanoid Robot Innovation Center, Unitree and UBTECH, spanning research, robot hardware, dexterous manipulation, data, computing and applications ^[5].

3. Infrastructure and Policy Support

• **[NEW] China’s data-center scale:** China ranks second to the United States by data-center investment scale, and multinational companies are positioning around the country’s AI infrastructure buildout ^[6].
• **[NEW] Cooling deployment:** At the China International Import Expo, Danfoss, SK Group and Panasonic presented preparations for China’s new infrastructure, while Danfoss began expanding its global refrigeration research and testing center in Tianjin and displayed liquid-cooling systems for high-density computing ^[6].
• **[NEW] Beijing financing:** The Beijing Economic-Technological Development Area Management Committee plans to channel government guidance funds and market-based funds into information-technology companies through industrial, technology-innovation and acquisition funds, while encouraging mergers and restructurings ^[7].
• **[NEW] Product support:** Beijing is supporting supernode servers, AI endpoints, super agents, quantum-computing cloud platforms and next-generation mobile communications through first-use and pilot-validation services, with awards of up to RMB 30 million depending on innovation, demonstration, commercialization and ecosystem value ^[8].
• **[NEW] “Geese Formation” plan:** Beijing’s plan focuses on AI, 6G and quantum information, with R&D support of up to 50% of total project value ^[9].
• **[NEW] British policy:** UK Growth Minister Dan Tomlinson said Britain would not slow AI development despite the US midterm election’s anti-AI wave, and the government would continue treating data centers as critical infrastructure with a differentiated regulatory framework ^[13].
• **[NEW] ECB review:** The European Central Bank is considering reviews of banks’ data-center lending to assess risks from changing AI sentiment and valuation swings, with senior officials discussing possible on-site examinations of cash-flow assumptions, collateral values and default-risk preparation ^[14].
• **[ONGOING] ECB scope:** Any review would probably be narrower than the ECB’s earlier leveraged-lending review, and the proposal has not been finalized ^[14].
• **[NEW] Municipal cooperation:** Greenland Group’s Shandong regional headquarters, Jinan’s Huaiyin District government and Shanghai Koupasi Technology agreed to cooperate on AI corpus-data services, ecosystem development and investment and operation of industrial facilities ^[15].

4. Model Dependence and Service Reliability

• **[NEW] Korean model mix:** A Rockbridge Network Korea survey authored by Hanyang University business professor Choi Seong-jin found that Chinese foundation models accounted for nearly half of South Korea’s new AI models from January through August 2026 ^[16].
• **[NEW] Base-model counts:** The survey classified 864 models as Qwen-based, representing 46.8%, followed by Google Gemma with 271 models and 14.7%, Meta Llama with 254 and 13.8%, LG EXAONE with 171 and 9.3%, Kakao Kanana with 49 and 2.7%, DeepSeek with 19 and 1.0%, and 217 other models at 11.8% ^[16].
• **[ONGOING] Methodology caveat:** Hugging Face does not label account nationality, so researchers scanned Korean-language tags and keywords to identify 1,993 Korean accounts and 7,939 publicly released models, making the result a survey estimate rather than an official registry ^[16].
• **[NEW] Forecast:** Choi expects Chinese models to account for 70%-90% of South Korea’s new models by 2027 ^[16].
• **[NEW] DeepSeek disruption:** DeepSeek’s chat function became unavailable and displayed a “server busy” message, while its official status page reported partial disruption to its website and API ^[17].
• **[NEW] Affected services:** The disruption affected Chat Service, DeepSeek V4 Pro API and DeepSeek V4.1 Flash API ^[17].
• **[ONGOING] Repair status:** DeepSeek said the interruption had been fixed and that it was monitoring the result ^[17].

5. Falsifiers and Watchlist

• **[NEW] Valuation test:** Anthropic’s roadshow will show whether demand supports the previously expected $1.5T valuation or the lower $1.2-$1.3T range reported after the selloff ^[3][10].
• **[NEW] Equity test:** A sustained recovery beyond Friday’s rebound would weaken the immediate read that circular-financing concerns are driving a broader AI de-risking, while another week of losses would reinforce it ^[1][10].
• **[NEW] Robotics test:** HALO’s next test is whether it can preserve the 91% single-task rate, improve on 70% combination-task success and 50% obstacle-sequence success, and reduce human involvement in data generation while adding contact perception ^[4].
• **[ONGOING] Policy test:** The ECB proposal, Britain’s data-center framework and Beijing’s funding and product-support measures determine whether policy follows the capital-market slowdown or continues to support deployment ^{[13][14][7][8][9]}.
• **[ONGOING] Reliability test:** DeepSeek’s status monitoring must confirm that the repaired chat and API services remain stable rather than experience another interruption ^[17].
• **[NEW] Source discipline:** The NVIDIA-versus-Micron comparison, METR’s “twice as fast” Anthropic claim, the SpaceX and Anthropic investment question, the Anthropic IPO viability article and the Caixin and People’s Daily items are headline-only entries without enough body text for detailed conclusions ^{[18][19][20][21][22][23][24]}.
• **[NEW] Thin-source qualification:** The Qwen-on-G1 assertion is supported by a headline, while the HALO metrics come from the fuller accompanying report, so those details should be read with that sourcing distinction ^[11][4].