Cupertino might be made for your mom, but it’s a good take on tech

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The Verge • Meredith Haggerty • October 8, 2026

CBS has released a new procedural drama called *Cupertino*, which blends Silicon Valley tech controversies with traditional broadcast storytelling. The show features fictionalized versions of real-world figures and events, including Polymarket, Jeff Bezos’s appearance on reality TV, and OpenAI using Scarlett Johansson’s voice without her consent. It also depicts the ongoing struggle for AI safety regulations. While the series airs on CBS in a season format typical of older television networks, it is created by Robert and Michelle King, known for their work on *The Good Wife* and *Elbuth*.

OpenAI announces 722 mathematical discoveries in one go

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New Scientist • Matthew Sparkes • October 7, 2026

OpenAI has released 722 mathematical papers proving and disproving various problems, a volume academics describe as both impressive and baffling. While AI models struggled with basic math exams in 2019, OpenAI recently solved complex fluid dynamics equations. The company did not name the specific model used, referring to it only as an "internal frontier model." Francis Johnson from University College London worked on one of these problems for 25 years and produced two books before giving up. He noted he was surprised by the AI’s speed but not its ability, finding the analysis sophisticated and clear.

Your cells keep a record of every workout you’ve ever done – and those gains persist even after a break from exercise

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The Conversation • Diego Hernandez-Saavedra, Assistant Professor of Applied Health Sciences, University of Illinois Urbana-Champaign • October 7, 2026

Research indicates that muscle and liver cells store memories of past workouts, meaning fitness gains may persist even after a break from exercise. For decades, the "use it or lose it" rule suggested that benefits like improved oxygen uptake and insulin sensitivity fade within weeks of stopping training. However, scientists have found that retrained individuals often get fit faster than those who never trained before, suggesting their cells retain a record of previous sessions.

AI behaves more like a brain than a database – cognitive science’s role in its origin story helps explain why

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The Conversation • Michael Hout, Associate Dean of Research and Professor of Psychology, New Mexico State University • October 7, 2026

People often imagine AI systems like databases that retrieve stored facts to answer questions. However, cognitive science reveals that modern artificial intelligence behaves more like a human brain because its origins lie in the study of the mind rather than pure computer logic. The term "artificial intelligence" was coined in 1956 at a Dartmouth College workshop, where researchers believed machines could be made intelligent by following strict rules.

As AI Closed In on ‘Unique Games’ Proof, Researchers Raced to Beat the Machines

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Quanta Magazine • Ben Brubaker • October 7, 2026

On September 11, 2026, MIT professor Dor Minzer received messages suggesting his team had solved the "unique games" conjecture, a famous open question in theoretical computer science. While rumors circulated that OpenAI had discovered the proof, Minzer and his graduate students Yumou Fei and Shuo Wang were actually working on a closely related problem. They rushed to publish a 95-page paper three days later to avoid being overshadowed by an AI announcement, prioritizing mathematical completeness over clarity.

OpenAI has dumped 722 maths papers – now it must clean up the mess

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New Scientist • Jacob Aron • October 7, 2026

OpenAI recently released 722 mathematics papers on GitHub, addressing over 4,000 open problems using an internal model. Each result reportedly required the equivalent of three hours of "ChatGPT Pro thinking compute," though OpenAI has not provided a true cost figure for these outputs. While one specific problem previously solved by the company took around 88 hours and cost approximately $15 million, the average effort here is likely lower. The release aims to test the limits of AI models rather than create a dedicated mathematics machine, as part of a broader goal toward artificial general intelligence.

Changing Your Career Isn’t Easy

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IEEE Spectrum • Brian Jenney • October 7, 2026

Erik Vrielink, who changed careers to become a software engineer at age 30, expected the process to be difficult but did not anticipate the lack of support from others. He notes that people often project their own fears onto those changing careers, leading to discouragement rather than enthusiasm. The current job market for entry-level software developers has seen employment fall nearly 20 percent since late 2022, according to Stanford’s 2026 AI Index. While some social media content suggests moving into trades like plumbing or goat herding, Vrielink warns that there is no easy path in any field.

IEEE Report Predicts Tech That Will Transform Lives

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IEEE Spectrum • Liz Wegerer • October 7, 2026

According to the IEEE 2030 Technology Megatrends Report, genetic engineering and gene therapy will be used frequently by 2028 to treat various diseases. This prediction relies on advances in artificial intelligence (AI), which is described as general-purpose infrastructure deeply connected to energy and physical systems. The report was developed by 166 experts from 38 countries who identified 30 breakthrough technologies across five megatrends: AI, energy, health, space, and physical AI.

Many drugs have mirror chemical structures, one helpful and the other harmful – a Nobel-winning discovery allows chemists to make either on demand

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The Conversation • Sajish Mathew, Associate Professor of Pharmaceutical Sciences, University of Maryland Eastern Shore • October 7, 2026

The 2026 Nobel Prize in Chemistry was awarded to researchers who developed asymmetric organic synthesis. This process allows chemists to create only one specific version of a molecule that has mirror-image chemical structures. These versions are called isomers and have the same atoms but different three-dimensional arrangements. The discovery helps pharmaceutical developers produce beneficial forms of drugs while avoiding harmful ones.

IceCube is built on decades of research into tiny ‘ghost particles’ – but it was the first to find neutrinos coming from deep space

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The Conversation • Doug Cowen, Professor of Physics and Professor of Astronomy and Astrophysics, Penn State • October 8, 2026

Visible matter in the universe consists of 12 fundamental particles, with neutrinos being the lightest and most abundant yet least visible. These "little neutral ones" pass through Earth constantly, leaving no trace due to their low energy. Physicists study them because they can penetrate almost anything, making them ideal for understanding how particles interact and why the universe is made mostly of matter rather than equal parts matter and antimatter. Detecting them requires specialized materials at industrial scales, a challenge addressed by the IceCube Neutrino Observatory located at the South Pole.