Skip to contentSkip to stories

Updated

#Trend

Oct 9

TodayOct 9Fri1 item

Oct 8

Oct 8Thu
  1. Tessl BlogAI score38

    AI DevCon NYC Focuses on Software Factories for Scaling Agentic Development

    AIAI DevCon New York, running November 2–4 at Industry City in Brooklyn, centers its program on software factories, the systems needed to make agentic development repeatable, trustworthy and scalable. The article argues that moving from one developer using an agent to an engineering organization requires layers covering context and skills, harnesses and tools, orchestration, verification and evaluation, and feedback.

  2. CNBC · TechnologyAI score42

    Arthur Hayes Bets AI Data Center Overbuild Will Crash and Lift Crypto

    AIFormer BitMEX CEO Arthur Hayes says humanity is wasting multi-trillion dollars on AI data centers that will eventually be overbuilt, causing a crash and a bailout that he expects will benefit bitcoin and other crypto. He expects infrastructure providers to seek payment for committed compute around late 2027 or 2028. Hayes is backing Flop, an AI-agent payments project expected to launch in the first quarter of 2027 that aims to create a spot market for computing power.

  3. CNBC · TechnologyAI score38

    Temasek warns an AI trade unwind is the biggest risk facing markets now

    AISingapore's Temasek says an unwinding of the artificial intelligence trade poses the biggest risk to markets, though it does not see that as imminent. Rohit Sipahimalani, Temasek's chief investment officer, said AI has kept U.S. stocks near record highs despite rising Treasury yields, while roughly half the Russell 3000 stocks sit at least 20% below their June highs. Temasek remains bullish on AI long term, aiming to raise its publicly traded AI exposure from about half to 70% to 75%.

  4. Bloomberg · TechnologyAI score22

    Who Pays for AI: Financing the Next Investment Cycle

    AIAI is driving one of the largest capital spending cycles in decades, raising questions about how the investment will be financed and where credit-market risks and opportunities will emerge. PIMCO's Lotfi Karoui, Goldman Sachs' Amanda Lynam and Barclays' Brad Rogoff discussed these issues with Bloomberg's Romaine Bostick at the Bloomberg Future of Fixed Income 2026 conference in New York.

  5. CNBC · TechnologyAI score40

    IMF's Georgieva Warns AI Boom Adds Inflation and Debt Strains to Global Growth

    AIIMF Managing Director Kristalina Georgieva said AI investment is becoming a key driver of countries' relative economic fortunes, but the boom is also inflationary and could widen inequality. She warned that AI could add up to half a percentage point to annual world growth if done right, while high interest rates, soaring energy costs and record public debt strain governments. She urged policymakers to stop delaying painful choices on debt and consider a prudently hawkish monetary stance.

  6. CNBC · TechnologyAI score25

    Cramer says rising rates split markets, with AI stocks insulated from borrowing costs

    AICNBC's Jim Cramer said rising borrowing costs are dividing the stock market, with AI businesses largely insulated while rate-sensitive sectors face pressure. He cited data center builders, semiconductor firms, power providers and cybersecurity companies as far less constrained, since lenders remain eager to finance AI growth. Wednesday's $39 billion 10-year Treasury auction drew strong demand, though the 10-year yield briefly hit 5.365%, its highest since April 2002.

  7. The Guardian · AIAI score23

    Hollywood's Tech Ties Fuel Three Films on Zuckerberg, Musk and Altman

    AIThree upcoming films, Aaron Sorkin's The Social Reckoning, Alex Gibney's Musk, and Luca Guadagnino's Artificial, critically examine tech leaders Mark Zuckerberg, Elon Musk, and Sam Altman. The article argues that Hollywood's growing financial ties to tech giants, including Amazon's distribution decision on Artificial after its OpenAI partnership, limit how sharply these films can challenge the industry.

  8. The Guardian · AIAI score42

    Women are being left behind in the booming AI industry, LinkedIn data shows

    AIWomen made up about a quarter of new AI-role hires in the past year, versus 50% of non-AI hires, according to a LinkedIn report, and just 13% of AI executive hires. Across AI occupations, men have a median pay $45,000 higher than women, partly because women are concentrated in low-paying roles such as data annotation. Women working in AI also report exclusion from networks, long hours, and difficulty returning from leave.

  9. The Wall Street Journal · TechAI score10

    AI Luddites Won't Win, Opinion Argues

    AIAn opinion piece argues that opposition to artificial intelligence will fail because AI meets real societal needs and is not going away. The source text provides no further details, figures, or specific products.

  10. François CholletAI score40

    Chollet: AI progress tracks exponential growth while capex grows faster

    AIFrançois Chollet argues that most AI progress measures from 2023 to 2026 fit an exponential curve, while AI capital expenditure over the same period has grown slightly super-exponentially. He concludes that such externally funded growth is unsustainable, so sustained exponential progress will require matching exponential profits to close the resource loop.

  11. MIT News · AIAI score34

    MIT's Sasha Rakhlin outlines how universities should respond to AI in research and training

    AIMIT Statistics and Data Science Center director Sasha Rakhlin argues that AI progress is fastest where results can be verified quickly, citing a model reaching gold-medal level at the International Mathematical Olympiad a year before models produced new research results. He says departments should reconsider how they reward work, emphasizing question-asking, replication, and disclosure of AI's role in a researcher's contributions. He also urges universities to build shared lab infrastructure that captures failed experiments and tacit expertise.

  12. Andrew CurranAI score28

    To become a member of the Association for Human Mathematics you must make three vows: 1.

    AIMembers commit to not working with commercial AI companies by providing technical labor, mathematical knowledge, consultation, or publicity. 2. Members commit to not publishing mathematical texts (including papers, reviews, referee reports, lecture notes, teaching materials, and books) generated by AI models. 3. Members of the AI-free caucus do not use AI models in a research capacity.