This week’s episode

OpenAI hits automated research-intern goal | 🧪 Ohio State researchers identify SET | Fluorinated Additive Improves Graphite Anode | 🤖 AI Framework Controls Fusion Plasma | AI system predicts plasma instabilities | 🧬 Immune Breakthroughs

Sep '26 – Artificial intelligence is dramatically compressing timescales across frontier science, from controlling plasma instabilities in milliseconds to automating research tasks that once took days. Meanwhile, discoveries in immunology and materials science.

Ready to play7 Sept 2026
The audio edition

OpenAI hits automated research-intern goal | 🧪 Ohio State researchers identify SET | Fluorinated Additive Improves Graphite Anode | 🤖 AI Framework Controls Fusion Plasma | AI system predicts plasma instabilities | 🧬 Immune Breakthroughs

This week's NotebookLM episode

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Article stream

Selected articles, synthesized in order

Science & Tech2 min read

OpenAI hits automated research-intern goal for 2026

OpenAI says coding agents now let researchers run more concurrent sessions, ship code faster, and clear well-defined tasks that would take a skilled human a few days—meeting its “automated research intern” target for September 2026. The lab is aiming for a supervised automated AI researcher by March 2028 while stressing humans still set priorities and decide whether to scale, pause, or deploy. The post frames the work as transparency for public debate on frontier AI pace and alignment.

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ScienceDaily2 min read

Ohio State researchers identify SET protein as potential glioblastoma treatment target

Researchers at Ohio State University's Comprehensive Cancer Center have identified the protein SET as a possible target to enhance existing glioblastoma treatments. In preclinical experiments, blocking SET prevented tumor development and increased cancer cell sensitivity to radiation by interfering with a biological pathway that helps tumors resist therapy. The findings remain preliminary and have not been tested in patients; researchers are now investigating whether safely targeting SET or related proteins can improve the effectiveness of standard radiation and chemotherapy for this lethal brain cancer.

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Mirage News2 min read

Fluorinated Additive Improves Graphite Anode Durability in Lithium-Ion Batteries

Researchers at Japan Advanced Institute of Science and Technology synthesized pentafluorophenyl thiophene imine (FPTI), an electrolyte additive that strengthens the solid electrolyte interphase on graphite anodes. In half-cell tests, 4 mg/mL FPTI reduced SEI resistance from 7.6 to 2.2 ohms and enabled graphite cells to retain 95.6% capacity after 1,000 cycles, compared to 62.7% for untreated cells. In full-cell configurations, FPTI-conditioned graphite achieved 233 Wh/kg energy density versus 130 Wh/kg for control cells, though further validation in commercial-scale cells is needed.

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ScienceDaily2 min read

AI Framework Controls Fusion Plasma Instabilities in Milliseconds, Faster Than Human Response

Researchers at Princeton Plasma Physics Laboratory developed PACMAN, an AI framework that controls fusion plasma in approximately 20 milliseconds—far faster than human operators. The modular system combines machine learning models to predict plasma behavior and adjust heating systems and other controls. In five experiments on the DIII-D tokamak, PACMAN predicted a tearing mode instability 200 milliseconds in advance and prevented it, while coordinating six heating systems simultaneously. The framework maintains hardware safety limits and leaves humans responsible for setting control objectives.

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The Economic Times2 min read

AI system predicts plasma instabilities 200 milliseconds before disruption in fusion experiments

Researchers at Princeton University and the Department of Energy's Princeton Plasma Physics Laboratory tested PACMAN, an AI framework that detects and prevents plasma instabilities in tokamaks by operating at millisecond speeds. In one experiment, the system predicted a tearing-mode instability approximately 200 milliseconds before it occurred and adjusted plasma conditions to prevent it. The framework was deployed on the DIII-D tokamak in San Diego across five experiments, demonstrating that machine learning can make real-time control decisions faster than human operators.

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ScienceDaily2 min read

Stanford researchers identify immune receptor that drives aging across multiple organs in mice

Stanford Medicine researchers found that tissue-resident macrophages—immune cells permanently stationed in organs—become less effective with age at clearing senescent neutrophils, contributing to body-wide aging. Blocking a single receptor called EP2 on these macrophages restored their clearance ability and preserved youthful characteristics across the brain, heart, liver, and other organs in aged mice, while reducing frailty, cognitive decline, and inflammation. The researchers observed similar patterns in human liver cells and note that no approved drug currently targets EP2 specifically, though experimental compounds show promise in early testing.

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Mirage News2 min read

Experimental cancer drug CADD522 strengthens bones and reduces fat in post-menopausal mice

University of East Anglia researchers found that CADD522, a compound originally designed to block cancer-driving proteins, strengthened bones and reduced body fat in post-menopausal mice over eight weeks. The drug stimulated new bone growth while preserving normal bone remodeling, and treated mice weighed less than untreated controls despite identical food intake, with reduced fat deposits in bone marrow. Safety testing in mice, rats, and dogs showed the drug was orally tolerable and metabolized more slowly in human tissue than rodents, though the research remains preliminary and animal-based.

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04 — Internet: For You

What’s buzzing online right now

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South Korea announces free unlimited AI access for all citizens South Korea has announced an "AI for All" initiative providing every citizen with free, unlimited AI tokens and access to homegrown AI chatbots and agents, with the government covering costs.

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