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AI news about company strategy, partnerships, earnings and leadership.

38 stories in the last 3 days

Today

8 stories
  1. Worth knowing Interconnects

    How big is the open model economy today?

    Measuring token volumes across inference providers offers empirical insight into how rapidly open-weights models are being adopted in production relative to proprietary frontier labs.

    Interconnects examines the scale of the open model inference market by tracking public token volume disclosures from startups like Baseten, Fireworks, and Together AI alongside OpenRouter API metrics. The available data indicates near-exponential growth in usage, including Fireworks serving over 40 trillion tokens daily for customized models alone, which the author compares against Google's reported platform token volumes.

  2. Worth knowing The Verge

    Uber only fulfilled 4 rides from AI agents last quarter

    This disclosure provides a rare, concrete data point showing that real-world consumer adoption of third-party AI agents for routine tasks like booking rides and ordering food remains extremely low.

    Uber executives revealed during a third-quarter earnings call that third-party AI agents arranged only four rides on its platform last quarter. While AI agents placed slightly more Uber Eats orders—around 500 during the week of Halloween—the volume remains minuscule compared to the 320 million total rides and deliveries.

  3. Worth knowing Wired

    UK Officials Said AI Would Add £400 Billion to the Economy. That Figure Mainly Came From Google

    The discrepancy highlights how governments often rely on optimistic, industry-funded economic projections to justify AI policies and public spending.

    UK AI Minister Kanishka Narayan acknowledged that the government's frequently cited claim that AI would add £400 billion to the economy came from a 2023 report commissioned by Google. The government's own central projection estimates the economic boost by 2030 at £120 billion, less than a third of the industry-funded figure.

  4. Worth knowing The Verge

    Google hasn’t figured out how to make AI pay like its search engine

    It highlights the ongoing financial challenge tech giants face in monetizing AI features enough to justify massive capital expenditures on AI infrastructure.

    Alphabet's third-quarter earnings showed Google Search revenue growth slowing to 12 percent and paid click growth dropping to 8 percent, even as search queries rose at their fastest rate in five years. Following the report, Alphabet shares fell about 14 percent amid investor concern over the company's plans to spend roughly $200 billion on AI-focused infrastructure this year.

Yesterday

15 stories
  1. Must read SemiAnalysis

    Elon Is Doing It Again: SpaceX Will Be The World’s Biggest AI Cloud

    This unprecedented pace of AI infrastructure and behind-the-meter power deployment positions Elon Musk's companies to potentially become the largest AI compute provider in the world within a few years.

    SemiAnalysis reports that SpaceX is rapidly constructing massive AI datacenter capacity across multiple locations, including expansions at Colossus 2 and new sites at Starbase and TeraFab in Texas, targeting roughly 13GW by 2027. To achieve record-breaking build times and bypass grid constraints, the company is utilizing modular equipment from Tesla, mobile gas turbines, and a nearly 6GWh battery energy storage system.

  2. Worth knowing TechCrunch

    Data centers are turning to old jet engines as the wait for power grows

    This highlights the severe energy bottleneck slowing the AI infrastructure buildout and the unconventional, polluting workarounds companies are adopting to stay competitive.

    Facing multi-year delays for grid connections and new turbines, AI data center operators are turning to retired aircraft engines rebuilt to burn natural gas to generate electricity quickly. Companies including xAI, OpenAI, and Crusoe are deploying these converted jet engines to bring facilities online within two years, despite their lower efficiency and higher emissions.

  3. Worth knowing Hacker News

    US tech giants' hidden AI debt swells 90% to $3.2T in 6 months

    The rapid growth of off-balance-sheet commitments highlights the massive financial scale and potential balance-sheet risks of the ongoing AI infrastructure buildout.

    U.S. tech giants including Google and Meta have seen their off-balance-sheet AI-related obligations grow by 90% in six months to approximately $3.2 trillion. These commitments for AI infrastructure now reach 80% of the companies' assets, raising concerns among investors over the scale of ongoing spending.

  4. Worth knowing TechCrunch

    Hiding inside Palantir’s skyrocketing quarter is a foreboding signal

    Palantir's earnings highlight both the surging demand for secure enterprise AI deployment and a broader industry trend where companies favor short-term AI trials over long-term commitments.

    Palantir reported a 96% year-over-year revenue increase to $2.31 billion in the third quarter, with U.S. commercial revenue driven by its AI software surpassing U.S. government revenue for the first time. However, U.S. enterprise total contract value dropped from $2.13 billion in the previous quarter to $1.46 billion as corporate customers increasingly opt for shorter-term trials.

  5. Worth knowing The Verge

    OpenAI says ChatGPT is catching up to Google in search

    Reaching a fifth of Google's search volume suggests AI chatbots are meaningfully changing how consumers look for information online and posing a growing challenge to traditional search engines.

    OpenAI announced that the volume of search queries run through ChatGPT has reached 20 percent of the volume run through Google. Consumer product lead Adam Fry clarified that OpenAI defines a search as any user query that triggers a web search, though he did not specify the source for Google's numbers.

  6. Worth knowing TechCrunch

    Apple restricts dating apps and AI companions to users 18 and up

    Apple's new age restrictions could significantly limit the user base of popular AI companion apps like Character.AI and Replika, which frequently attract younger demographics.

    Apple is updating its App Store policies to require an 18+ age rating for all online dating apps and AI companions that feature romantic or sexual content. Starting November 16, developers must include new content descriptors for these relationship features as well as for apps that share users' real-world locations.

  7. Worth knowing Hacker News

    Google will turn off search for schools that reject AI

    Bundling AI features directly with core search access forces educational institutions to either adopt AI or lose a fundamental tool, highlighting how major tech companies can mandate AI adoption.

    A New York Times report states that Google plans to turn off its search service for schools that choose to reject AI features. The post links to the news article and a Google blog post regarding education products, though no additional details are provided in the text.

  8. Worth knowing The Verge

    Apple is all in on AI — its own and everyone else’s

    Apple's earnings demonstrate that a major tech company can financially benefit from consumer AI adoption through hardware sales without matching the massive capital expenditures on AI data centers made by its peers.

    Apple posted record fiscal year revenue and earnings per share, driven by strong fourth-quarter sales for the iPhone and Mac. The company is capitalizing on the AI boom while avoiding the massive infrastructure spending of its competitors, though it warned that rising memory costs could squeeze holiday quarter profit margins.

  9. Worth knowing IEEE Spectrum

    How a Kenyan Startup Is Rethinking AI for Small Businesses

    This highlights how AI applications are being engineered around local constraints—such as low-memory devices, unreliable internet, and unstructured mobile-money data—to serve small businesses in developing economies.

    Kenyan startup Fastagger has developed Auni, an AI business intelligence assistant designed to run offline on low-cost mobile phones and integrated into the M-Pesa mobile money platform. The tool uses an adapted OCR model and small neural networks to analyze mobile money statements, helping small businesses track sales patterns and identify loyal customers without requiring constant internet access.

  10. Worth knowing MIT Technology Review

    Here’s who is falling in line for Trump’s “Super Intelligence” loyalty test

    The executive push to rename artificial intelligence risks turning industry terminology into a partisan loyalty test, affecting how tech companies and federal agencies communicate and regulate the technology.

    Following President Trump's executive order directing federal agencies to rebrand artificial intelligence as "Super Intelligence" (SI), adoption across government agencies, news outlets, and tech companies has been uneven. While several federal websites and executives like Elon Musk and Marc Benioff have begun implementing the terminology, many government officials, media organizations, and major tech leaders continue to use "AI."

Mon, Nov 2

14 stories
  1. Must read Hacker News

    Anthropic reports $17B in Q3 revenue, commitments of $895B in revised S-1

    Anthropic's IPO filings provide an unprecedented public look at the massive revenue scale and nearly $900 billion compute commitments of a frontier AI lab.

    Anthropic filed an amended Form S-1 for its upcoming IPO, reporting $17 billion in third-quarter revenue and $33.24 billion in revenue for the first nine months of the year alongside a $104 billion net loss. The filing also revealed $895.4 billion in future purchase and lease commitments, nearly all of which are dedicated to compute and infrastructure.

  2. Worth knowing Hacker News

    Oracle files to sell $20B in new stock, bonds to finance AI buildout

    Oracle's massive capital raise and the resulting stock drop highlight growing investor scrutiny and financial strain surrounding the immense cost of building out AI data center infrastructure.

    Oracle filed plans with the SEC to issue $10 billion in common stock and $10 billion in senior notes to fund its artificial intelligence infrastructure buildout. Following the announcement, the company's shares fell 8.8% amid investor concerns over its $125.34 billion debt load and rising credit default swap spreads.

  3. Worth knowing Ars Technica

    Coming in 2027: Apple’s $1,000 home robot for FaceTime and switching on lights

    This highlights Apple's strategy to expand its consumer hardware ecosystem into physical AI and household robotics under new leadership.

    Apple is reportedly developing an AI-driven roaming household robot, code-named J595 and potentially branded as HomeView Ultra, targeted for release in 2027 or 2028 at a price of $1,000 or more. Supported by new CEO John Ternus, the device is designed to handle FaceTime calls and smart home tasks like turning on lights, though engineers are still working to expand its AI capabilities to justify the cost.

  4. Worth knowing The Verge

    OpenAI pitches data center power plants as a way to protect nearby areas

    As AI compute demands strain electrical grids and spark local backlash, AI companies are having to pitch grid-support initiatives to win community approval for new data centers.

    OpenAI announced a pilot "Grid Protectors Program" at an upcoming data center in Georgia, promising to free up to 1,000 megawatts of power for local communities during emergencies or extreme weather. The initiative comes amid growing local opposition across the US to the massive energy demands of new data center projects.

  5. Worth knowing TechCrunch

    Elon Musk throttles Grok Bot limits due to ‘unsustainably high’ costs

    The move highlights the ongoing challenge of unit economics and inference costs for agentic AI products, even within profitable AI divisions.

    SpaceX suddenly lowered weekly usage limits for its agentic AI, Grok Bot, causing many users to see their quotas unexpectedly maxed out over the weekend. CEO Elon Musk confirmed the throttling was intentional because the cost of serving the product had become unsustainably high relative to its revenue.

  6. Worth knowing 404 Media

    Reaping and sowing, CEO edition

    The controversy highlights the growing friction between executive mandates for rapid AI adoption and employee and customer concerns over software security and job stability.

    Proton CEO Andy Yen canceled a planned company-wide re-interview process that would have evaluated whether employees were using AI enough to keep their jobs. The decision followed backlash from users and staff after reports revealed Yen was aggressively pushing AI coding practices despite internal security concerns.

  7. Worth knowing Hacker News

    Jobless tech workers are being left out of San Francisco's AI boom

    The divide between soaring AI valuations and broader tech unemployment shows how the economic benefits of the AI boom are concentrated among a small group of specialized workers and companies.

    A Bloomberg feature examines how unemployed tech workers and engineers are being excluded from San Francisco's ongoing artificial intelligence wealth boom. The report highlights this labor market divide as major AI labs like OpenAI and Anthropic approach potential initial public offerings.

Sun, Nov 1

1 story
  1. Worth knowing Hacker News

    AI delivers 'zero financial payoff' to most companies, Apollo economist says

    This analysis adds macroeconomic evidence to the ongoing debate over whether massive corporate investments in AI will translate into measurable productivity and profit gains outside the tech sector.

    Apollo Global Management's chief economist Torsten Slok published a note stating that AI has yet to benefit the bottom line of large corporations outside the tech industry. Analyzing the S&P 500 excluding the top seven tech companies, Slok found flat profit margins and revenue per worker, arguing that businesses struggle to turn cheap intelligence into financial gains because AI lacks human judgment.