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Friday

  1. Phoenix Technology

    Who Is Really Eating the AI Dividend?

    Combining the latest financial reports from giants such as Amazon, Google, and Meta with surveys from multiple institutions, the article sorts out how the AI dividend is distributed among leading model companies, upstream chip and cloud vendors, enterprises adopting AI, and ordinary workers. Anthropic's prospectus shows revenue of $16.286 billion in the first half of 2026, up 1,300% year over year, but compute and infrastructure costs reached $8.945 billion, accounting for 55% of revenue. In a McKinsey survey, 80% of respondents said AI improved efficiency, while only 37% believed AI made a positive contribution to their company's EBIT.

    Combining the latest financial reports from giants such as Amazon, Google, and Meta with surveys from multiple institutions, the article sorts out how the AI dividend is distributed among leading model companies, upstream chip and cloud vendors, enterprises adopting AI, and ordinary workers. Anthropic's prospectus shows revenue of $16.286 billion in the first half of 2026, up 1,300% year over year, but compute and infrastructure costs reached $8.945 billion, accounting for 55% of revenue. In a M

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  2. 36Kr · AI

    Amazon releases engineer guidance document, opposing the use of Token consumption as a performance metric

    Amazon has released a guidance document for software engineers that explicitly opposes using metrics such as Token consumption and AI tool adoption rates as performance goals, arguing that this would drive up costs and increase system complexity. The document was disclosed by Vice President Terk Terkowitz and introduces the concept of the "Renaissance developer," requiring technical leaders to personally use AI in production work and explain the scenarios in which it is effective and ineffective. Previously, Microsoft Executive Vice President Jay Parikh also asked his team in August to use AI rationally and set the lower-cost GPT-5.6 as the internal default model.

    Amazon has released a guidance document for software engineers that explicitly opposes using metrics such as Token consumption and AI tool adoption rates as performance goals, arguing that this would drive up costs and increase system complexity. The document was disclosed by Vice President Terk Terkowitz and introduces the concept of the "Renaissance developer," requiring technical leaders to personally use AI in production work and explain the scenarios in which it is effective and ineffective

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  3. TMTPost · AGI

    Behind Anthropic's Huge Prospectus Losses: Accounting Losses and Rigid Compute Commitments

    Anthropic submitted a prospectus to the SEC: revenue in the first half of 2026 was $16.286 billion, up about 1,300% year over year, with a net loss of $80.748 billion, of which $72.388 billion came from fair value changes in convertible notes, derivative liabilities, and SAFE instruments. The article points out that its locked-in compute infrastructure commitments have exceeded $600 billion, with many agreements marked as payable regardless of actual usage, and terms extending to 2033 to 2034. The article also compares SpaceX, which achieved a net profit of $4.404 billion in the third quarter through its Starlink communications business, and argues that AI competition is shifting to whether unit economics can be made to work first.

    Anthropic submitted a prospectus to the SEC: revenue in the first half of 2026 was $16.286 billion, up about 1,300% year over year, with a net loss of $80.748 billion, of which $72.388 billion came from fair value changes in convertible notes, derivative liabilities, and SAFE instruments. The article points out that its locked-in compute infrastructure commitments have exceeded $600 billion, with many agreements marked as payable regardless of actual usage, and terms extending to 2033 to 2034. T

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  4. TMTPost · AGI

    Edge AI Daily Morning Brief: Google Releases Gemini 4 Carbon, Anthropic Files for $2 Trillion...

    Google DeepMind released the cybersecurity frontier model Gemini 4 Carbon on October 28, topping the Artificial Analysis Intelligence Index v5.0 with a composite score of 59, priced at $2 per million input tokens and $10 per million output tokens. Anthropic filed its S-1 prospectus with the SEC on October 26, planning to list on Nasdaq under the ticker ANT, with a target valuation of $1.5 trillion to $2 trillion and fundraising of up to $100 billion. In the same period, Microsoft disclosed for the first time that Azure quarterly revenue reached $33.2 billion, up 48% year-over-year.

    Google DeepMind released the cybersecurity frontier model Gemini 4 Carbon on October 28, topping the Artificial Analysis Intelligence Index v5.0 with a composite score of 59, priced at $2 per million input tokens and $10 per million output tokens. Anthropic filed its S-1 prospectus with the SEC on October 26, planning to list on Nasdaq under the ticker ANT, with a target valuation of $1.5 trillion to $2 trillion and fundraising of up to $100 billion. In the same period, Microsoft disclosed for t

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  5. TMTPost · AGI

    Edge AI Daily Morning Brief (October 30): Intel Plunges 21%, Anthropic…

    Intel reported third-quarter 2026 revenue of $16.5 billion and earnings per share of 52 cents, beating expectations, but its fourth-quarter revenue guidance of $15 billion to $16 billion fell short of the market's expectation of about $17.1 billion, and its gross margin guidance dropped from 43% to 38%; its stock price plunged about 21% in after-hours trading on October 29. Anthropic filed for a Nasdaq IPO on October 26 (ticker ANT), with revenue of $16.286 billion in the first half of 2026, up about 1,300% year over year, and second-quarter operating profit of $974 million. The U.S. Department of Justice has opened inquiries into whether Nvidia's acquisition of Hugging Face for about $12.93 billion affects AI competition.

    Intel reported third-quarter 2026 revenue of $16.5 billion and earnings per share of 52 cents, beating expectations, but its fourth-quarter revenue guidance of $15 billion to $16 billion fell short of the market's expectation of about $17.1 billion, and its gross margin guidance dropped from 43% to 38%; its stock price plunged about 21% in after-hours trading on October 29. Anthropic filed for a Nasdaq IPO on October 26 (ticker ANT), with revenue of $16.286 billion in the first half of 2026, up

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  6. SiliconANGLE

    AMD and Cloudera Discuss Rational Configuration of AI Infrastructure

    AMD's Jeremy Girven said at EVOLVE26 that enterprises deploying AI should rationally configure infrastructure according to business needs: if end users can accept a 30-second response, cheaper hardware can be chosen; if instant response is required, more cutting-edge hardware is needed. AMD's collaboration with Cloudera includes continuously validating the compatibility of AMD products in Cloudera deployments, and current AI solutions remain highly customized. Girven also reminded enterprises to continuously monitor utilization and adjust capacity after deployment, while watching out for hidden costs such as network egress fees.

    AMD's Jeremy Girven said at EVOLVE26 that enterprises deploying AI should rationally configure infrastructure according to business needs: if end users can accept a 30-second response, cheaper hardware can be chosen; if instant response is required, more cutting-edge hardware is needed. AMD's collaboration with Cloudera includes continuously validating the compatibility of AMD products in Cloudera deployments, and current AI solutions remain highly customized. Girven also reminded enterprises to

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  7. Amazon Science

    Amazon Science and Booking.com use knowledge distillation plus Medusa to speed up LLM inference by up to 20x

    Amazon Science and Booking.com combined knowledge distillation with Medusa to compress a 70B-parameter Llama-3.1 teacher model into a 1.1B TinyLlama student model, increasing inference speed by 10 to 20 times and reducing cost to less than one-third while maintaining the teacher model's quality. The approach has been used in three features—AI Trip Planner, Smart Filters, and accommodation description generation—and won the Best Paper Award in the Industry Track at ACL.

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  8. Wallstreetcn

    Amazon, Intel, and Alphabet earnings miss expectations, global tech stocks fall collectively

    Earnings from Amazon, Intel, and Alphabet successively missed expectations, triggering a collective slump in global tech stocks. Nasdaq 100 index futures extended losses to 2%, and South Korea's KOSPI index fell 4.5% and triggered the SIDECAR mechanism to suspend program selling. Intel plunged 23% after hours, Amazon fell about 7.3% after hours, and Alphabet tumbled 13% in the previous trading session, its largest single-day drop. Market attention is focused on capital expenditures: Amazon's third-quarter spending on equipment and property exceeded $77 billion, and free cash flow over the past 12 months was negative $42.4 billion. CEO Andy Jassy said capital expenditures will increase significantly in 2027.

    Earnings from Amazon, Intel, and Alphabet successively missed expectations, triggering a collective slump in global tech stocks. Nasdaq 100 index futures extended losses to 2%, and South Korea's KOSPI index fell 4.5% and triggered the SIDECAR mechanism to suspend program selling. Intel plunged 23% after hours, Amazon fell about 7.3% after hours, and Alphabet tumbled 13% in the previous trading session, its largest single-day drop. Market attention is focused on capital expenditures: Amazon's thi

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  9. 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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  10. 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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  11. AWS Machine Learning

    How the UK Amazon Quick User Group Grew in 2026

    The UK Amazon Quick User Group held three quarterly meetups in 2026, drawing more than 150 attendees in total. The events took place at Amazon's UK office in Shoreditch, London, where attendees built custom chat agents with Amazon Quick, tried out Amazon Quick Desktop and Amazon Quick Apps, and practiced automation and research through Quick Flows, Quick Automate, and Quick Research. Customers such as Arriva UK Trains and Carsa shared their experiences implementing role-based dashboards and a unified governed data layer.

    Attendees at a UK Amazon Quick User Group meetup in Shoreditch, London

    The UK Amazon Quick User Group held three quarterly meetups in 2026, drawing more than 150 attendees in total. The events took place at Amazon's UK office in Shoreditch, London, where attendees built custom chat agents with Amazon Quick, tried out Amazon Quick Desktop and Amazon Quick Apps, and practiced automation and research through Quick Flows, Quick Automate, and Quick Research. Customers such as Arriva UK Trains and Carsa shared their experiences implementing role-based dashboards and a un

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Wednesday

  1. Saito Hardcore Hacker

    SemiAnalysis Analyzes Anthropic S-1: 90% Incremental Gross Margin and Half-Trillion Compute Commitment

    The SemiAnalysis podcast analyzes Anthropic's S-1, pointing out its 90% incremental gross margin, 40% incremental EBIT, 85% inference gross margin, and 41% compute gross margin, and that it has been profitable for two consecutive quarters on a non-GAAP basis. On customer net revenue retention, customers who spent $1 last year now spend $9, with the Q1 figure at 500%; in addition, 250 customers pay over $10 million annually and 1,900 pay over $1 million. The episode also breaks down the $500 billion to $600 billion compute commitment, which at $100 billion per gigawatt translates to only about 5 gigawatts, and discusses the discrepancy in reporting that the top five customers account for 25% of revenue and that 48% goes through cloud vendor marketplaces.

    The SemiAnalysis podcast analyzes Anthropic's S-1, pointing out its 90% incremental gross margin, 40% incremental EBIT, 85% inference gross margin, and 41% compute gross margin, and that it has been profitable for two consecutive quarters on a non-GAAP basis. On customer net revenue retention, customers who spent $1 last year now spend $9, with the Q1 figure at 500%; in addition, 250 customers pay over $10 million annually and 1,900 pay over $1 million. The episode also breaks down the $500 bill

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  2. The New Stack

    AI agents need to be replaceable without losing approved business operations

    The New Stack published an article discussing how to safely take over work after an AI agent crashes: before dispatching a refund, the application first writes the amount, authorization, idempotency key, and status to transactional storage, and the replacement agent inherits the original operation rather than re-reasoning. The article points out that durable execution frameworks such as LangGraph and Temporal can restore progress, but cannot determine whether the payer has already submitted the request; therefore, persistent records must be validated at the tool boundary, and the MCP services of Langfuse and ClickStack should be used to read-only investigate calls with unclear results.

    The New Stack published an article discussing how to safely take over work after an AI agent crashes: before dispatching a refund, the application first writes the amount, authorization, idempotency key, and status to transactional storage, and the replacement agent inherits the original operation rather than re-reasoning. The article points out that durable execution frameworks such as LangGraph and Temporal can restore progress, but cannot determine whether the payer has already submitted the

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  3. Publickey

    Oracle Releases Oracle App Composer: Employees Use AI to Automatically Generate Business Applications and, on Oracle...

    At Oracle AI World 2026, Oracle released Oracle App Composer. After employees describe their requirements in a chat interface, OpenAI's Codex generates business application code, which is then deployed to Oracle Cloud after security checks and shared internally via URL. The information department can centrally manage these applications, assign owners, and take offline applications that have long been unused. The product is planned for launch in spring 2027.

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  4. Data Center Knowledge

    Oracle Cloud to Offer Google TPU and Inference Chips from OpenAI, Cerebras, and Others

    Oracle announced that it will deploy Google TPU on OCI, along with inference chips from OpenAI, Cerebras, SambaNova, and Positron AI, giving customers more computing options beyond Nvidia GPUs. Oracle says it will become the first hyperscale cloud provider other than Google Cloud to offer TPU; TPU and the Cerebras wafer-scale engine are planned to launch in 2027, and Positron Atlas is already available. At the same time, Oracle is expanding its partnership with Nvidia, with the Vera Rubin NVL72 system and Vera CPU now generally available on OCI.

    Oracle announced that it will deploy Google TPU on OCI, along with inference chips from OpenAI, Cerebras, SambaNova, and Positron AI, giving customers more computing options beyond Nvidia GPUs. Oracle says it will become the first hyperscale cloud provider other than Google Cloud to offer TPU; TPU and the Cerebras wafer-scale engine are planned to launch in 2027, and Positron Atlas is already available. At the same time, Oracle is expanding its partnership with Nvidia, with the Vera Rubin NVL72

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  5. Latent Space

    Anthropic Abolishes Coding Interviews: Felix Reiseberg Says "Hunger beats tenure"

    Anthropic hiring manager Felix Reiseberg announced that the company will no longer use traditional coding interviews to evaluate candidates, citing the fact that Claude is already stronger than humans at both React challenges and assembly problems, and that truly impactful builders do not win through such tests. He advises junior engineers to pick an idea that can drive business impact, build a working prototype over the weekend, focus on just one good idea, and leverage their fresh perspective on users. On the same day, Google DeepMind released the Genie 4 world model, and Claude Opus 5.5 (58 points) topped the Artificial Analysis Intelligence Index v5.

    Anthropic hiring manager Felix Reiseberg announced that the company will no longer use traditional coding interviews to evaluate candidates, citing the fact that Claude is already stronger than humans at both React challenges and assembly problems, and that truly impactful builders do not win through such tests. He advises junior engineers to pick an idea that can drive business impact, build a working prototype over the weekend, focus on just one good idea, and leverage their fresh perspective

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Thursday

  1. The Verge AI

    SemiAnalysis Analyst Interprets Anthropic S-1: The Ledger Behind the Valuation and AGI Narrative

    The Verge's Decoder podcast invited SemiAnalysis analyst Joey Brookhart to break down the S-1 filed by Anthropic, discussing its potential Nasdaq listing at a valuation of $1.5 trillion to $2 trillion. Brookhart said Anthropic has achieved over $70 billion in ARR, with inference gross margins turning from negative 94% two years ago to positive 85%, and revenue per megawatt of inference at about $65 million, but revenue is highly concentrated in coding scenarios, and about 70% of compute is used for training and research. He also mentioned that Anthropic has $500 billion to $600 billion in compute commitments over the next 7 to 10 years, and compared OpenAI's more consumer-oriented business structure.

    The Verge's Decoder podcast invited SemiAnalysis analyst Joey Brookhart to break down the S-1 filed by Anthropic, discussing its potential Nasdaq listing at a valuation of $1.5 trillion to $2 trillion. Brookhart said Anthropic has achieved over $70 billion in ARR, with inference gross margins turning from negative 94% two years ago to positive 85%, and revenue per megawatt of inference at about $65 million, but revenue is highly concentrated in coding scenarios, and about 70% of compute is used

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  2. Google Developers BlogSelected

    Google A2UI Team and CopilotKit Explain How to Build Generative UI Applications

    The Google A2UI team and CopilotKit CEO Atai Barkai explain how to build generative UI applications using the A2UI open standard and CopilotKit. A2UI describes interfaces with declarative JSON, and the client only renders components from a trusted component catalog; the same response can be rendered to React, Angular, SwiftUI, Jetpack Compose, and Flutter. The article provides a code example for integrating CopilotKit with Google ADK, and explains the bidirectional flow, implemented via the AG-UI protocol, in which user actions are sent back and the agent regenerates the interface.

    The Google A2UI team and CopilotKit CEO Atai Barkai explain how to build generative UI applications using the A2UI open standard and CopilotKit. A2UI describes interfaces with declarative JSON, and the client only renders components from a trusted component catalog; the same response can be rendered to React, Angular, SwiftUI, Jetpack Compose, and Flutter. The article provides a code example for integrating CopilotKit with Google ADK, and explains the bidirectional flow, implemented via the AG-U

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  3. Wired AI

    AI Drives a Wave of Formal Verification Startups as &Truth Raises $70 Million

    WIRED reports that generative AI is pushing formal verification toward commercialization. &Truth has raised $70 million and launched publicly, while Harmonic has raised a cumulative $295 million, and its math AI agent Aristotle supports verification of C code and Verilog hardware designs. Stanford researcher Chuyue Sun used AI tools to complete an engineering project in less than half a day at a cost of under $500, whereas three experts working by hand took five months to complete the same work. The report also notes that the technology is still at the prototype stage, that customers' willingness to pay and adoption methods remain unclear, and that Antithesis's Will Wilson calls formal verification a "trap" that can only provide partial guarantees.

    WIRED reports that generative AI is pushing formal verification toward commercialization. &Truth has raised $70 million and launched publicly, while Harmonic has raised a cumulative $295 million, and its math AI agent Aristotle supports verification of C code and Verilog hardware designs. Stanford researcher Chuyue Sun used AI tools to complete an engineering project in less than half a day at a cost of under $500, whereas three experts working by hand took five months to complete the same work.

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  4. Databricks Blog

    Databricks introduces finer-grained cost controls for serverless

    Databricks has introduced cost control capabilities for serverless compute, shifting the object of control from machines to people and workloads: Serverless Compute Tags is in Beta and can attribute DBU costs by team and project; Serverless Compute Access Controls is now GA, using Can Use/Can Manage permissions to determine who can run serverless. Rate limits are now available, and shared budgets are coming soon, to prevent runaway workloads and cap team spending. Over the past year, Databricks' serverless usage has grown more than 3x.

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    Databricks has introduced cost control capabilities for serverless compute, shifting the object of control from machines to people and workloads: Serverless Compute Tags is in Beta and can attribute DBU costs by team and project; Serverless Compute Access Controls is now GA, using Can Use/Can Manage permissions to determine who can run serverless. Rate limits are now available, and shared budgets are coming soon, to prevent runaway workloads and cap team spending. Over the past year, Databricks'

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