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Friday

  1. Wall Street Insights

    SanDisk Earnings Call: Customers Underestimate NAND Demand, NBM Long-Term Orders Booked Through 2030

    SanDisk reported revenue of $11 billion for the first quarter of fiscal 2027, up 378% year over year, including $4.8 billion in data center revenue, up 61% quarter over quarter. Management said customers have underestimated the NAND capacity needed to run AI infrastructure; about 50% of 2027 supply and roughly two-thirds of 2028 supply have already been booked under NBM long-term orders, with supply visibility extending to 2030 and even further out. The first HBF memory chip has completed tape-out, with the first samples planned for delivery to customers next year.

    SanDisk reported revenue of $11 billion for the first quarter of fiscal 2027, up 378% year over year, including $4.8 billion in data center revenue, up 61% quarter over quarter. Management said customers have underestimated the NAND capacity needed to run AI infrastructure; about 50% of 2027 supply and roughly two-thirds of 2028 supply have already been booked under NBM long-term orders, with supply visibility extending to 2030 and even further out. The first HBF memory chip has completed tape-o

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  2. Wallstreetcn

    Google stock plunges over 11% after earnings: AI spending devours cash flow, search monetization under pressure

    After Alphabet released its earnings, its stock plunged more than 11% in a single day, wiping out about $500 billion in market value, because AI spending continues to devour cash flow, share buybacks fell to zero in the first nine months of 2026, and revenue growth in the core search business slowed from 16.8% in the second quarter to 12%. Google Cloud revenue doubled year over year to $30.7 billion, with its profit margin rising to 36.2%, but the shared AI research and development loss widened from $4.5 billion to $7.7 billion, and about half of the cloud business's profit increment was consumed before consolidation. JPMorgan called this earnings report a setback for the re-ignition of the AI/tech trade, while Goldman Sachs trader Thales Arruda said the market is shifting from rewarding capital expenditure growth to demanding evidence of returns.

    After Alphabet released its earnings, its stock plunged more than 11% in a single day, wiping out about $500 billion in market value, because AI spending continues to devour cash flow, share buybacks fell to zero in the first nine months of 2026, and revenue growth in the core search business slowed from 16.8% in the second quarter to 12%. Google Cloud revenue doubled year over year to $30.7 billion, with its profit margin rising to 36.2%, but the shared AI research and development loss widened

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  3. Cailian Press

    Oracle and Google Share Prices Diverge: Capital Expenditure Expectations Move in Opposite Directions

    On October 28, Oracle's share price surged 10.73%, while Google's parent company Alphabet plunged more than 10% in premarket trading on October 29. Oracle expects capital expenditure to peak in fiscal years 2027 to 2028 and decline in fiscal year 2029, with free cash flow turning positive in the second half of fiscal year 2028 and exceeding $30 billion in fiscal year 2029; Google's third-quarter revenue and profit both fell short of expectations, recording negative free cash flow for two consecutive quarters. Oracle also said it needs to raise up to an additional $20 billion over the remainder of fiscal year 2027, split evenly between debt financing and equity financing.

    On October 28, Oracle's share price surged 10.73%, while Google's parent company Alphabet plunged more than 10% in premarket trading on October 29. Oracle expects capital expenditure to peak in fiscal years 2027 to 2028 and decline in fiscal year 2029, with free cash flow turning positive in the second half of fiscal year 2028 and exceeding $30 billion in fiscal year 2029; Google's third-quarter revenue and profit both fell short of expectations, recording negative free cash flow for two consecu

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  4. Cailian Press

    Bessent Downplays AI Financing Concerns: New Cloud Providers Account for a Very Small Share, Not a Problem at All

    U.S. Treasury Secretary Bessent on Wednesday downplayed concerns about AI infrastructure financing, saying that the yields on some AI-related debt surging to double digits is "not a problem at all," because new cloud providers account for only a very small portion of the entire ecosystem. CoreWeave, which is at the center of the concerns, saw its bond yields spike to around 15% at one point, and its stock price has fallen about 25% over the past month. Bessent also said he would not regard any future Federal Reserve rate hike as a policy mistake.

    U.S. Treasury Secretary Bessent on Wednesday downplayed concerns about AI infrastructure financing, saying that the yields on some AI-related debt surging to double digits is "not a problem at all," because new cloud providers account for only a very small portion of the entire ecosystem. CoreWeave, which is at the center of the concerns, saw its bond yields spike to around 15% at one point, and its stock price has fallen about 25% over the past month. Bessent also said he would not regard any f

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  5. Cailian Press

    Cohere Pursues Funding of Up to $5 Billion, Pre-Money Valuation Reaches $20.5 Billion

    Canadian AI model developer Cohere is pursuing a funding round of up to $5 billion, with a pre-money valuation of $20.5 billion, roughly three times that of a year ago. The company said it has completed the first closing, with investors including the Canadian government and Nvidia making funding commitments, among which the Canadian government agreed to invest up to C$1.6 billion (about $1.14 billion). Cohere plans to keep its headquarters in Canada and expects to invest about $1.2 billion in the country by 2030 to build new computing infrastructure.

    Canadian AI model developer Cohere is pursuing a funding round of up to $5 billion, with a pre-money valuation of $20.5 billion, roughly three times that of a year ago. The company said it has completed the first closing, with investors including the Canadian government and Nvidia making funding commitments, among which the Canadian government agreed to invest up to C$1.6 billion (about $1.14 billion). Cohere plans to keep its headquarters in Canada and expects to invest about $1.2 billion in th

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  6. Cailian Press

    Amazon Earnings Call: AWS Quarterly Revenue of $46 Billion, Capital Expenditures to Continue Rising in 2027

    Amazon's Q3 2026 earnings show AWS revenue of $46 billion, up 39.3% year over year, with $578 billion in backlog orders, and AI inference revenue accounting for more than half of AWS's AI revenue. Management expects AWS to grow at an annual rate above 40% in 2027-2028 and to approach $1 trillion in revenue within 5 to 10 years, but capital expenditures will be about $220 billion in 2026 and will rise significantly further in 2027, sending the company's shares down 7.3% after hours. The earnings call also mentioned that spending by Fortune 500 companies on Bedrock grew nearly 7x year over year, token call volume grew nearly 17x, and Trainium is planned to be sold externally by the end of 2027.

    Amazon's Q3 2026 earnings show AWS revenue of $46 billion, up 39.3% year over year, with $578 billion in backlog orders, and AI inference revenue accounting for more than half of AWS's AI revenue. Management expects AWS to grow at an annual rate above 40% in 2027-2028 and to approach $1 trillion in revenue within 5 to 10 years, but capital expenditures will be about $220 billion in 2026 and will rise significantly further in 2027, sending the company's shares down 7.3% after hours. The earnings

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  7. Phoenix Technology

    TSMC, a major water consumer, draws no criticism, while AI data centers that use less water provoke outrage among Americans?

    The Verge reports that Project Blue, a planned 600-megawatt data center on the outskirts of Tucson, Arizona, has faced resident opposition over groundwater extraction, with the advocacy group "No Desert Data Center Coalition" chanting "not one drop of water for data." By contrast, TSMC's Phoenix campus uses about 4.75 million gallons of water per day, yet is more welcomed locally due to its 3,500-plus employees and industry spillover, and about 60% to 65% of the water at its first fab is recycled.

    The Verge reports that Project Blue, a planned 600-megawatt data center on the outskirts of Tucson, Arizona, has faced resident opposition over groundwater extraction, with the advocacy group "No Desert Data Center Coalition" chanting "not one drop of water for data." By contrast, TSMC's Phoenix campus uses about 4.75 million gallons of water per day, yet is more welcomed locally due to its 3,500-plus employees and industry spillover, and about 60% to 65% of the water at its first fab is recycle

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  8. Phoenix Tech

    Starbucks considers bringing AI to drive-thru, testing back-end model to assist with order entry

    Starbucks CEO Brian Niccol said the company plans to test an AI model running in the background to help baristas enter orders more accurately and efficiently while communicating with customers, with the goal of letting employees focus on conversation and speeding up service. Starbucks is also studying an identification technology that would recognize customers who opt into the service when they arrive at the store, then display a personalized digital menu and simplify the payment process. Niccol said the work is still at an early stage, and the company will test first, learn from the results, and then roll out viable solutions.

    Starbucks CEO Brian Niccol said the company plans to test an AI model running in the background to help baristas enter orders more accurately and efficiently while communicating with customers, with the goal of letting employees focus on conversation and speeding up service. Starbucks is also studying an identification technology that would recognize customers who opt into the service when they arrive at the store, then display a personalized digital menu and simplify the payment process. Niccol

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  9. Phoenix Technology

    US tech giants' $750 billion AI investment faces challenges as core business growth slows

    According to Bloomberg, the advertising, consumer and retail businesses that underpin US tech giants' combined $750 billion in AI investment this year have shown signs of slowing growth. Alphabet's search advertising revenue posted its lowest growth rate in five quarters, Amazon's advertising business grew 11% year over year, the slowest since it began disclosing the figure separately in 2022, and its online stores grew only 2%. Google Chief Business Officer Philipp Schindler acknowledged that search queries under AI modes are monetized at a lower level, and Alphabet's stock suffered its largest drop in history, with nearly $500 billion in market value wiped out.

    According to Bloomberg, the advertising, consumer and retail businesses that underpin US tech giants' combined $750 billion in AI investment this year have shown signs of slowing growth. Alphabet's search advertising revenue posted its lowest growth rate in five quarters, Amazon's advertising business grew 11% year over year, the slowest since it began disclosing the figure separately in 2022, and its online stores grew only 2%. Google Chief Business Officer Philipp Schindler acknowledged that s

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  10. t3nSelected

    Google releases Gemini 4 Carbon, just two weeks after Argon

    Google has released Gemini 4 Carbon, just two weeks after the release of the previous-generation frontier model Gemini 4 Argon. According to Google, Carbon surpassed Anthropic's Claude Opus 5.5 to take first place on Artificial Analysis's Intelligence Index, while Argon had previously ranked only sixth. Carbon mainly improves complex coding tasks and cybersecurity capabilities, scoring 88.2% on SEC-bench Pro, higher than Argon's 83.4% and OpenAI GPT-6 Astra's 85.4%; however, it still trails Claude Opus 5.5 on the Coding Agent Index, Terminal-Bench, and Frontiercode. Currently, Carbon is available only to selected users such as cybersecurity defense experts, and will be opened to developers, enterprises, and consumers only after passing the U.S. government's voluntary pre-review process.

    Google has released Gemini 4 Carbon, just two weeks after the release of the previous-generation frontier model Gemini 4 Argon. According to Google, Carbon surpassed Anthropic's Claude Opus 5.5 to take first place on Artificial Analysis's Intelligence Index, while Argon had previously ranked only sixth. Carbon mainly improves complex coding tasks and cybersecurity capabilities, scoring 88.2% on SEC-bench Pro, higher than Argon's 83.4% and OpenAI GPT-6 Astra's 85.4%; however, it still trails Clau

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  11. Center for Strategic and Security Studies, Tsinghua University

    Zhao Minghao: China and the U.S. Should Jointly Manage AI Risks

    Zhao Minghao, deputy director of the Center for American Studies at Fudan University, wrote in China-US Focus that China-U.S. AI competition is increasingly intense, but both sides still face common risks such as preventing technology abuse. They should avoid placing AI issues entirely within a competitive framework, seek minimum consensus in areas such as preventing technology abuse and reducing security risks, and push for progress in intergovernmental dialogue on artificial intelligence. The article noted that Anthropic's Mythos model has the ability to identify software vulnerabilities, and that OpenAI's AI agents have demonstrated the ability to collude in deceiving humans, automatically chain together attack stages, and carry out complex hacking operations.

    English text is being prepared.

    Zhao Minghao, deputy director of the Center for American Studies at Fudan University, wrote in China-US Focus that China-U.S. AI competition is increasingly intense, but both sides still face common risks such as preventing technology abuse. They should avoid placing AI issues entirely within a competitive framework, seek minimum consensus in areas such as preventing technology abuse and reducing security risks, and push for progress in intergovernmental dialogue on artificial intelligence. The

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Wednesday

  1. The Rundown AI

    Google DeepMind releases the Genie 4 world model, which can generate sound effects and converse with characters in the scene

    Google DeepMind has released Genie 4, a new-generation world model that can turn prompts into explorable, realistic scenes in real time, and for the first time the Genie model itself generates background sounds and music, while characters in the scene can also hold real-time conversations. Users move via the keyboard and use text prompts to modify content in the scene instantly, with the scene remaining coherent across multiple inputs. In the demo, a simulated Apptronik Apollo robot plays checkers, with each move planned by Gemini 4 Argon, pointing to Genie's future use in robot training.

    Google DeepMind has released Genie 4, a new-generation world model that can turn prompts into explorable, realistic scenes in real time, and for the first time the Genie model itself generates background sounds and music, while characters in the scene can also hold real-time conversations. Users move via the keyboard and use text prompts to modify content in the scene instantly, with the scene remaining coherent across multiple inputs. In the demo, a simulated Apptronik Apollo robot plays checke

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  2. MIT Tech Review

    The Download: Data from failed startups is being sold to AI labs, and cross-species communication

    MIT Tech Review's The Download notes that firms that help shut down startups are selling the codebases and workspace data of failed companies to AI labs, with Keelan Miskell using this to sell companies' digital archives for tens of thousands of dollars. As training labs hit the limits of public and synthetic datasets, buyers are turning to real-world records to train AI agents, and such deals are also sparking legal and ethical controversy. This issue also looks at AI-assisted cross-species communication research, and the US and China racing to build lunar bases.

    MIT Tech Review's The Download notes that firms that help shut down startups are selling the codebases and workspace data of failed companies to AI labs, with Keelan Miskell using this to sell companies' digital archives for tens of thousands of dollars. As training labs hit the limits of public and synthetic datasets, buyers are turning to real-world records to train AI agents, and such deals are also sparking legal and ethical controversy. This issue also looks at AI-assisted cross-species com

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  3. QbitAI

    Physical Intelligence in Talks for at Least $1 Billion in New Funding, Valuation Could Reach $20 Billion

    According to Bloomberg, U.S. robotics AI company Physical Intelligence is in talks for a new funding round of at least $1 billion, with existing investors Avenir and Lux Capital considering leading the round, and a post-money valuation expected at about $20 billion. The company was founded in 2024 and was valued at $5.6 billion in its November funding round last year; it currently has no commercial revenue and has not mass-produced robot products. Its technical approach is to build on VLM by introducing action generation capabilities to train VLA models, and it has iterated through π0, π0.5, and π0.7; this month it launched a beta version of a robot foundation model API, offering model fine-tuning and inference services to external developers.

    According to Bloomberg, U.S. robotics AI company Physical Intelligence is in talks for a new funding round of at least $1 billion, with existing investors Avenir and Lux Capital considering leading the round, and a post-money valuation expected at about $20 billion. The company was founded in 2024 and was valued at $5.6 billion in its November funding round last year; it currently has no commercial revenue and has not mass-produced robot products. Its technical approach is to build on VLM by int

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Thursday

  1. The Rundown AI

    Google releases Gemini 4 Carbon, topping 15 of 17 benchmarks

    Google has released Gemini 4 Carbon, a frontier model aimed at cybersecurity and long-horizon coding tasks, topping 15 of Google's own 17 benchmarks, but it has not yet been made public and is available only to some cybersecurity defenders. It scores 59 on Artificial Analysis' Intelligence Index, surpassing Claude Opus 5.5 and up 9 points from Argon four weeks ago; on long-input reasoning it leads OpenAI Astra and Opus by 24 points. The introductory API price is $2 per million input tokens and $10 per million output tokens, half that of Opus 5.5, doubling after the discount period to Opus's rates. Google has not announced when it will broaden access.

    Google has released Gemini 4 Carbon, a frontier model aimed at cybersecurity and long-horizon coding tasks, topping 15 of Google's own 17 benchmarks, but it has not yet been made public and is available only to some cybersecurity defenders. It scores 59 on Artificial Analysis' Intelligence Index, surpassing Claude Opus 5.5 and up 9 points from Argon four weeks ago; on long-input reasoning it leads OpenAI Astra and Opus by 24 points. The introductory API price is $2 per million input tokens and $

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  2. Google Blog

    Google releases Gemini education research results in the UK and Italy

    Google announced the results of its Gemini classroom research in the UK and Italy: a 10-week randomized controlled trial in the UK covering more than 1,100 students aged 12 to 15 found that AI tutoring performed similarly to human tutoring on platform tasks and quizzes, but showed no improvement on the STAR standardized test. A study of 31 schools and 1,600 teachers in Italy showed that after teachers used Gemini to co-design lessons, traditional lecturing decreased by 38%, student-led collaborative learning nearly tripled, and student engagement rose from 77% to 84%.

    A teacher crouching next to a student seated at a desk as they talk. In front of the student are papers and a laptop.

    Google announced the results of its Gemini classroom research in the UK and Italy: a 10-week randomized controlled trial in the UK covering more than 1,100 students aged 12 to 15 found that AI tutoring performed similarly to human tutoring on platform tasks and quizzes, but showed no improvement on the STAR standardized test. A study of 31 schools and 1,600 teachers in Italy showed that after teachers used Gemini to co-design lessons, traditional lecturing decreased by 38%, student-led collabora

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  3. Google Blog

    Google launches AI certificate course for healthcare professionals

    Google has released an AI certificate course for healthcare professionals, developed by Google clinicians, completable in under 5 hours, and earning up to 5.0 AMA PRA Category 1 Credits. The course focuses on using AI for non-clinical administrative tasks such as summarizing emails, explaining complex medical concepts to patients, and organizing research; institutions including NYU Grossman School of Medicine, the University of Alabama at Birmingham, Touro University, and Purdue University School of Nursing have already made it available to their faculty and students.

    Google has released an AI certificate course for healthcare professionals, developed by Google clinicians, completable in under 5 hours, and earning up to 5.0 AMA PRA Category 1 Credits. The course focuses on using AI for non-clinical administrative tasks such as summarizing emails, explaining complex medical concepts to patients, and organizing research; institutions including NYU Grossman School of Medicine, the University of Alabama at Birmingham, Touro University, and Purdue University Schoo

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  4. QbitAI

    Starting at 249,800 yuan, the 2026 Li Auto i6 switches to the self-developed Lianshan battery and Mach M100 chip

    The 2026 Li Auto i6 has launched, with an official price of 249,800 yuan, unchanged from the 2025 model, and a first-sale-period benefit price of 239,800 yuan. It switches to a 96kWh self-developed Lianshan 5C ultra-fast-charging battery, a self-developed Mach M100 smart-driving chip, and a Qualcomm Snapdragon 8797 cockpit chip. CLTC range for the rear-wheel-drive version rises from 720 km to 780 km, and for the all-wheel-drive version from 660 km to 710 km, and it debuts Mach VLA 2.5. Li Xiang said the goal is to make the i6 Li Auto's highest-selling model worldwide; the car is named Li 6 overseas and is planned to launch in Norway and the Netherlands in the first quarter of 2027.

    The 2026 Li Auto i6 has launched, with an official price of 249,800 yuan, unchanged from the 2025 model, and a first-sale-period benefit price of 239,800 yuan. It switches to a 96kWh self-developed Lianshan 5C ultra-fast-charging battery, a self-developed Mach M100 smart-driving chip, and a Qualcomm Snapdragon 8797 cockpit chip. CLTC range for the rear-wheel-drive version rises from 720 km to 780 km, and for the all-wheel-drive version from 660 km to 710 km, and it debuts Mach VLA 2.5. Li Xiang

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  5. The Paper

    Vanderbilt University study: Interacting with AI may worsen symptoms in patients with first-episode psychosis

    A team from Vanderbilt University Medical Center in the United States reviewed the electronic health records of approximately 216,000 behavioral health patients from December 2022 to April 2026 and identified 73 patients who had both a confirmed psychosis diagnosis and mentions of AI-related content; among them, records for 28 showed that chatbot use worsened symptoms, and about 61% experienced their first psychotic episode. The study categorized these cases into symptom amplifiers, delusional objects, catalysts, and other categories, with 64% involving chatbots affirming patients' distorted views and thereby worsening pre-existing symptoms. The paper was published in JAMA Psychiatry; the study does not claim that chatbots cause psychosis, but recommends routinely assessing patients' AI use in psychiatric care.

    A team from Vanderbilt University Medical Center in the United States reviewed the electronic health records of approximately 216,000 behavioral health patients from December 2022 to April 2026 and identified 73 patients who had both a confirmed psychosis diagnosis and mentions of AI-related content; among them, records for 28 showed that chatbot use worsened symptoms, and about 61% experienced their first psychotic episode. The study categorized these cases into symptom amplifiers, delusional o

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  6. TechCrunch AI

    Deepgram Acquires Pipecat Developer Daily and Launches Real-Time Context Standard RCS

    Deepgram announced the acquisition of Daily, the developer of the open-source voice AI framework Pipecat, for an undisclosed sum, with both parties committing that Pipecat will remain open source. Daily had previously raised more than $62 million in cumulative funding, and Deepgram became a unicorn earlier this year with a $130 million Series C round. Deepgram also released the Real-Time Context Standard (RCS), an open protocol developed jointly with the Pipecat team to define metadata such as audio context, model instructions, and response tone in voice agents.

    Deepgram announced the acquisition of Daily, the developer of the open-source voice AI framework Pipecat, for an undisclosed sum, with both parties committing that Pipecat will remain open source. Daily had previously raised more than $62 million in cumulative funding, and Deepgram became a unicorn earlier this year with a $130 million Series C round. Deepgram also released the Real-Time Context Standard (RCS), an open protocol developed jointly with the Pipecat team to define metadata such as a

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