NCERT has launched a 20-hour artificial intelligence module for students in Classes 9 through 12. The curriculum was developed with experts from IIT Madras and IIT Jodhpur and aligns with the National Education Policy 2020. It covers five units including machine learning, deepfakes, AI hallucinations, data privacy, and digital safety. The module uses hands-on activities and discussions to teach students responsible AI use and to strengthen independent thinking.
Meanwhile, researchers from the University of Oxford and the University of Kentucky asked OpenAI's GPT-4o-mini over 20 million questions about US states. The AI model ranked Massachusetts as the smartest state and Louisiana as the smelliest. Ohio was called the ugliest, while Kentucky, West Virginia, and Mississippi were rated as having the most stupid people. The researchers said the results reflect biases in the training data and warned that AI rankings can reinforce racist and classist ideas.
Big Tech companies are issuing more corporate bonds to fund AI data centers and infrastructure, creating supply-demand pressure in bond markets. AI-related debt has grown four times to nearly $500 billion, with $466 billion reported by September according to Morgan Stanley, and $489 billion estimated by Goldman Sachs by July. Oracle reported $125.3 billion in debt, over three times its cash reserves, while CoreWeave spends more than 25 percent of its revenue on debt service. Analysts note this trend makes AI infrastructure a financeable asset class, yet rising costs pose challenges.
Alphabet Inc. is preparing to sell its Tensor Processing Units directly to third-party customers to challenge Nvidia Corp. Analyst Beth Kindig says Google aims to lower the cost of AI infrastructure rather than just build faster chips. Google's new TPU 8i system offers up to 80 percent better performance per dollar for low-latency tasks, while the TPU 8t provides 2.7 times better performance for training. Major clients like Anthropic plan to deploy gigawatts of these chips, creating a potential $250 billion revenue stream for Google.
Major technology companies are worried that there is not enough capital to fund their ambitious AI spending plans. Meta reported a free cash flow loss of $2.1 billion while raising its 2026 capital spending forecast to between $135 billion and $145 billion. Executives from Broadcom, BlackRock, and Nvidia warn that scarce funding could become the biggest constraint on AI development. Stock markets reacted negatively, with Nvidia falling 4.4 percent and the Nasdaq dropping 2.6 percent on concerns about financing. Analysts expect top players like Amazon, Alphabet, and Microsoft to maintain access to financing due to their strong cash flows.
The US Treasury Department announced new rules restricting Chinese investment in AI and biotechnology on October 22. These regulations implement the Comprehensive Outbound Investment National Security Act passed by Congress last year. The restrictions cover advanced semiconductors, brain-computer interfaces, and specific biotechnology compounds used in therapies. Technologies that could be used for military, intelligence, or mass surveillance face strict review processes. Additionally, the US Defense Department established a secret Technology Support Office to block adversaries from developing advanced military technology.
AI chatbots often provide inaccurate information in non-English languages, which could harm voters during the upcoming midterms. Researchers warn that these models unintentionally confuse non-native English speakers with incorrect election details or poor translations. Community leaders argue that Latino and immigrant groups are being excluded from reliable information by this technology gap. Experts say leading AI companies are working to fix these issues, but the risk of misinformation remains high for communities that rely on these tools.
Key Takeaways
- NCERT launches 20-hour AI module for Classes 9-12 covering machine learning, deepfakes, data privacy, and digital safety, developed with IIT Madras and IIT Jodhpur
- OpenAI's GPT-4o-mini ranked US states on 20 million questions, with Massachusetts as smartest and Louisiana as smelliest, reflecting training data biases
- AI-related debt has grown four times to nearly $500 billion, with Oracle carrying $125.3 billion in debt and CoreWeave spending over 25% of revenue on debt service
- Google plans to sell Tensor Processing Units to third parties to challenge Nvidia, with a potential $250 billion revenue stream and Anthropic as a major client
- Meta raised its 2026 capital spending forecast to $135-$145 billion while reporting a $2.1 billion free cash flow loss
- Nvidia fell 4.4% and the Nasdaq dropped 2.6% on concerns about capital scarcity constraining AI development
- US Treasury restricts Chinese investment in AI and biotechnology under the Comprehensive Outbound Investment National Security Act, covering advanced semiconductors and brain-computer interfaces
- US Defense Department established a secret Technology Support Office to block adversaries from developing advanced military technology
- AlphaPepe crypto presale raises over $3.2 million with an AI trading tool called AlphaSwap scoring 10/10 in both Coinsult and BlockSAFU audits
- AI chatbots provide inaccurate information in non-English languages, risking voter disenfranchisement during upcoming midterms, particularly affecting Latino and immigrant communities
NCERT launches 20-hour AI module for students in Classes 9 to 12
NCERT has introduced a 20-hour AI and computational thinking module for Classes 9 to 12. The curriculum was developed with experts from IIT Madras and IIT Jodhpur and aligns with NEP 2020. It covers five units including machine learning, deepfakes, AI hallucinations, data privacy and digital safety. The module uses hands-on activities and discussions to teach students responsible AI use. School principals and NCERT officials welcomed the initiative as a way to build critical thinking.
NCERT rolls out AI module focused on ethics and critical thinking
NCERT has created an introductory AI module for Classes 9 to 12 students with no prior AI knowledge. The course follows NEP 2020 and uses activity-based learning with discussions and practical exercises. It teaches students about data privacy, misinformation and ethical AI use. Students learn to verify AI-generated content and understand the limits of AI tools. The module aims to strengthen independent thinking and responsible technology habits.
Study reveals AI model rankings of US states by traits
Researchers from the University of Oxford and the University of Kentucky asked OpenAI's GPT-4o-mini over 20 million questions about US states. The AI model ranked Massachusetts as the smartest state and Louisiana as the smelliest. Ohio was called the ugliest and Kentucky, West Virginia and Mississippi were rated as having the most stupid people. The researchers said the results reflect biases in the training data. They warned that AI rankings can reinforce racist and classist ideas.
AlphaPepe brings working AI trading tool in crypto presale
AlphaPepe is a crypto presale that offers a live AI trading product called AlphaSwap. The tool includes token checks, warning flags and whale tracking to help traders make better decisions. The project has raised over $3.2 million and has an ex-Shibarium developer behind it. AlphaSwap scored 10 out of 10 in both Coinsult and BlockSAFU audits. ALPE is available at $0.03436 in presale with four CEX partnerships announced and a DEX launch set for Q1 2027.
Big Tech bond surge creates pressure in bond markets
Global Big Tech companies are issuing more corporate bonds to fund AI data centers and infrastructure. Analysts say this surge creates supply-demand pressure in bond markets. The increased corporate bond supply could compete with U.S. Treasuries for long-term investment funds. Government bond issuance is also growing in major economies. This could limit how much long-term interest rates can fall.
AI Debt Rises To Nearly $500 Billion Impacting Tech Stocks
AI-related debt has grown four times to nearly $500 billion as companies borrow to build data centers. Morgan Stanley data shows $466 billion in AI debt by September, while Goldman Sachs estimates $489 billion by July. This financing supports major players like Nvidia, Oracle, and CoreWeave, but it also creates heavy interest costs. Oracle reported $125.3 billion in debt, which is over three times its cash reserves, while CoreWeave spends more than 25% of its revenue on debt service. Analysts from IO Fund note that this trend makes AI infrastructure a financeable asset class, yet the rising costs pose challenges for these companies.
Google Plans $250 Billion Challenge To Nvidia With New Chips
Alphabet Inc. is preparing to sell its Tensor Processing Units directly to third-party customers to challenge Nvidia Corp. Analyst Beth Kindig says Google aims to lower the cost of AI infrastructure rather than just build faster chips. Google's new TPU 8i system offers up to 80% better performance per dollar for low-latency tasks, while the TPU 8t provides 2.7 times better performance for training. Major clients like Anthropic plan to deploy gigawatts of these chips, creating a potential $250 billion revenue stream for Google. This strategy could allow Google to capture market share by offering cheaper AI computing solutions to data centers and other businesses.
US Tightens Rules On Chinese Investment In AI And Biotech
The U.S. Treasury Department announced new rules restricting Chinese investment in AI and biotechnology on October 22. These regulations implement the Comprehensive Outbound Investment National Security Act passed by Congress last year. The restrictions cover advanced semiconductors, brain-computer interfaces, and specific biotechnology compounds used in therapies. Technologies that could be used for military, intelligence, or mass surveillance face strict review processes. Additionally, the U.S. Defense Department established a secret Technology Support Office to block adversaries from developing advanced military technology.
Tech Giants Face Capital Shortage As AI Spending Soars
Major technology companies are worried that there is not enough capital to fund their ambitious AI spending plans. Meta reported a free cash flow loss of $2.1 billion while raising its 2026 capital spending forecast to between $135 billion and $145 billion. Executives from Broadcom, BlackRock, and Nvidia warn that scarce funding could become the biggest constraint on AI development. Stock markets reacted negatively, with Nvidia falling 4.4% and the Nasdaq dropping 2.6% on concerns about financing. Despite these challenges, analysts expect top players like Amazon, Alphabet, and Microsoft to maintain access to financing due to their strong cash flows.
AI Language Gaps May Disenfranchise Non-English Voters
AI chatbots often provide inaccurate information in non-English languages, which could harm voters during the upcoming midterms. Researchers warn that these models unintentionally confuse non-native English speakers with incorrect election details or poor translations. For example, voters might receive wrong answers about voting by mail or misunderstand complex electoral terms in their native dialects. Community leaders like Héctor Sánchez Barba argue that Latino and immigrant groups are being excluded from reliable information by this technology gap. Experts say leading AI companies are working to fix these issues, but the risk of misinformation remains high for communities that rely on these tools.
Sources
- NCERT introduces 20-hour AI module for classes 9-12, covers deepfakes and data privacy
- NCERT develops AI module for Classes 9-12: Data privacy, ethical use and critical thinking in focus
- Which States Are Smelliest, Hottest, And Stupidest
- Best Crypto Presale: AlphaPepe Challenges the Bitcoin, Ethereum and XRP Trade With a Working AI Product
- “The Paradox of the AI Investment Boom” ... Bond Market Faces Supply-Demand Pressure as Big Tech Corporate Bond Issuance Surges [fn Market Watch]
- AI Debt Has Exploded 4X To Nearly $500 Billion: What It Means For NVDA, ORCL And CRWV, According To IO Fund
- GOOGL's $250B AI Chip Opportunity Takes Aim At NVDA — Beth Kindig Says Google Is Going After ‘One Of The Most Profitable Hardware Businesses’
- U.S. Tightens Curbs on Chinese Investment in AI, Biotech
- Does enough capital exist to finance everyone’s ambitious AI spending plans?
- AI has a language gap. That could be a problem for some voters.
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