Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.
Machine-checked proofs push theorem prices toward compute costs. Economists gain because identification has no automatic checker. Employers need fewer coders and more design checkers.
Read the original →Students using an unrestricted AI chatbot scored 17 percent worse once it was taken away. Customer-support agents, however, get better at their jobs after training with AI. The piece asks why AI builds skill in some settings and erodes it in others.
Read the original →Greenhouse data from 2,832 job seekers shows candidates will accept AI interviews, but only with human review and clear rules.
Read the original →The California Energy Commission approved funding for two virtual power plant (VPP) projects. The state is trying to offset an increase in AI data center demand.
Read the original →The IMF chief warns AI is pushing workers out of careers and into coffee shops. The article says a 63-year-old who takes a job at Starbucks faces a Social Security trap.
Read the original →Australia’s costly detour through copper-based NBN connections showed what happens when national infrastructure is retrofitted to suit political promises.
Read the original →SpaceX's AI spending was lower than Wall Street expected but higher than the company spent the quarter before.
Read the original →SpaceX's AI spending was lower than Wall Street expected but higher than the company spent the quarter before.
Read the original →Experts examine how rising AI investment could affect long-term US interest rates and the bond market. The piece looks at the nature of the relationship between AI and interest rates.
Read the original →A lecture on using local data in business was held on the 16th at the Tokunoshima town office. Private business operators and others took part. Topics included reading statistical data and analyzing surveys with generative AI.
Read the original →Heavy spending on the nascent technology has been a relative bright spot for the American economy. It may also expose vulnerability.
Read the original →The Linux Foundation announced a new research report at All Things Open 2026 on how generative AI is reshaping open source software development. The report, titled Navigating Open Source Software Development in the Generative AI Era: Challenges and Opportunities for Project Communities, was published by LF Research with sponsorship from Red Hat.
Read the original →California and Texas have the most workers in high-exposure occupations.
Read the original →Cloudflare co-founder and COO Michelle Zatlyn says AI will transform cybersecurity. She says workers who learn to "build and sell" in their roles will succeed.
Read the original →As AI expands, so does its demand for electricity, water and computing infrastructure. Penn Engineering's Ben Lee explores how chip design, data center operations and advances in computer architecture could make AI more efficient and reduce its environmental footprint.
Read the original →Tencent is leasing 100,000 AI chips from Oracle in a $7 billion, five-year deal across Southeast Asia. The arrangement keeps the hardware out of China entirely.
Read the original →Singapore-headquartered neocloud Aolani signed a Letter of Intent for 500 megawatt (MW) of AI data center capacity in Malaysia. The firm projects a commitment of up to 580MW by 2027.
Read the original →Meta reports Q3 2026 earnings on Oct. 21, with AI capex estimated at $41.68B. The Muse assistant has topped 5M downloads in 22 days.
Read the original →NTT, NTT Innovative Devices, Japan Semiconductor, Furukawa Electric and Shinko Electric Industries are stepping up development of mass-production technology for optoelectronic devices for next-generation AI computing. Following selection for a NEDO project, they will build a pilot line covering optical semiconductors, silicon photonics, optical connection, packaging and inspection. They aim to raise productivity of semiconductor devices carrying optical chiplets to more than 10 times the level at the research and development stage.
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