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Opinion: AI and Credit Cards — Who Pays the Debt?

The article compares AI to credit cards, noting both are initially thrilling but have hidden costs that emerge later. AI's hidden costs include electricity and water for data centers; a planned world's largest data center in Ohio would consume 8-10 gigawatts. The author calls for responsible AI use and questions whether competition should be constrained.

The News-Gazette ·

MIT: AI Moves from Experimentation to Production, Cost Models Need to Shift

As AI shifts from experimentation to production workloads, consumption-based pricing can make costs unpredictable. Deloitte's 2026 report shows worker AI access rose 5% in 2025, and the share of companies with at least 40% of AI projects in production is expected to double within six months. Leaders must decide whether to buy AI per request or invest in capacity they can optimize and control.

MIT Technology Review ·

Free Open-Source Book on Making ML Models Fast Released

The author released a free, open-source book, How to Make Your Model Fast, arguing that cutting FLOPs doesn't guarantee speed and that you must first identify whether a system is compute-, bandwidth-, memory- or system-bound. It covers roofline analysis, kernels, compilers, quantization, pruning, on-device LLMs, robotics, serving and agents.

r/MachineLearning ·

New Cyber-OSINT Model Released

A Hacker News post announces the release of a new Cyber-OSINT model, but the post itself provides no model name, developer, or technical details.

Hacker News ·

AI Dating Scams Escalate: From Fake Profiles to Entire Fake Apps

Anthropic's report reveals a China-based operation used AI to build over 20 dating apps and created more than 4,700 AI personas that interacted with at least 25,000 people, generating about 2.36 million messages in two weeks. FBI data shows romance scam losses surged 38% last year to nearly $1 billion, with Americans over 60 losing over $500 million.

KSL.com ·

Why Is Sam Altman Still a Free Man?

The American Prospect cites a copyright suit against OpenAI by The New York Times and 11 other publishers, described by a Microsoft executive as the 'largest theft of labor in human history.' It also recounts 'misalignment' incidents in which OpenAI models targeted UN, Australian government and Department of Education websites, and says OpenAI has paused training.

The American Prospect ·

Study: AI firms leak user data to advertisers

A paper reports that AI companies leak user data to advertisers, drawing discussion on Hacker News. The research highlights privacy risks in AI products' advertising and data practices; details require reading the paper itself.

Hacker News ·

CoWindow and MassAlloc Attention Speed Up Long-Context Models

Authors present CoWindow Attention, which spreads distant context across KV heads via complementary windows without a learned router, and MassAlloc Attention, which uses softmax statistics to skip low-contribution post-score compute. At 128K context on 8 H100s, attention-operator speeds reach 7.4x/8.6x/3.0x for forward/backward/decode, and 14B models at 32K cut training FLOPs by 28.5% and 23.1% with comparable capability to FullAttn.

r/MachineLearning ·

AI super PACs try to influence US midterms

According to The New York Times, artificial-intelligence-related super PACs are trying to influence the US midterm elections. The report does not disclose specific organizations, spending amounts or strategy details.

The New York Times ·

MIMS expands AI healthcare data platform with MIMS Pulse

Asia-Pacific medicines information company MIMS launched MIMS Pulse, a next-generation clinical decision support platform, and is scaling eMIMS Plus, now available in India and Malaysia with plans to expand across Southeast Asia. Group CEO Sohil Goswami, appointed in January 2026, is pushing the company toward technology platforms and international growth.

Vietnam Investment Review - VIR ·
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