Researchers at Stanford University identified two distinct neural ectoderm progenitor populations that both contribute to brain development. The findings, published as a preprint, reveal parallel developmental pathways in neural tissue formation.
Jessica Chudnovsky discusses the shift from low to high capital requirements in AI research, citing Stanford Prof. Christopher Manning's concerns that universities funding AI like it's 2005 are losing professors to frontier labs. A separate discussion covers Meta's AI investments through Muse and ByteDance's hiring of a former Coatue partner to lead a Hong Kong investment team.
Stanford researchers have created mice with human brain cells comprising nearly half their brain volume, advancing research into brain injuries while raising ethical questions about such experiments. Meanwhile, MIT Technology Review's annual list of 35 innovators under 35 highlights nine climate tech pioneers developing innovations in lithium extraction, steel production, energy-efficient AI, and waste conversion.
Researchers created mice with half-human brains by transplanting lab-grown human brain cells into genetically engineered rodents lacking a cortex and hippocampus. This approach allows scientists to study how brain disorders develop in human tissue and test potential treatments for conditions like schizophrenia, epilepsy, and dementia. The work raises ethical concerns about animal welfare and organoid consciousness that require ongoing oversight.
Stanford researchers are developing frameworks to keep AI systems under meaningful human control as they become more autonomous. Their work uses game theory and reinforcement learning to design AI agents that learn when to seek human guidance and when to act independently, while also creating oversight mechanisms for untrusted AI systems.
Stanford Computer Science prepares students for careers in a rapidly changing world through undergraduate and graduate programs, research opportunities, and faculty mentorship. The program emphasizes inclusive innovation and real-world impact, with students like Pierre Labroche researching AI neural networks and brain mapping, while Prof. Terry Winograd was elected to the National Academy of Engineering.
X trending discussion on stablecoins from September 13, 2026 covers privatization concerns and market concentration, with USDT and USDC controlling 94% of circulating stablecoin supply. An upcoming panel at Stanford discusses how AI agents will transact using stablecoins and payment infrastructure.
BioCompute, a Berkeley deep-tech company, is developing DNA data storage using enzyme-marked reusable templates instead of synthesizing new DNA strands, aiming to reduce costs from $1 per megabyte to $1 per terabyte by eliminating manufacturing as the bottleneck. The approach co-engineers read and write processes using nanopore technology, though key questions remain about scalability, read accuracy, and whether the cost targets will hold as volume increases.
Masashi Yanagisawa, a sleep researcher at UT Southwestern Medical Center, received the 2026 Albert Lasker Basic Medical Research Award for discovering orexin, a brain peptide whose absence causes narcolepsy. His work has led to transformational treatments, including a newly FDA-approved drug for narcolepsy Type 1.
A college English professor teaches AI literacy by beginning with Aristotle's rhetoric and poetics rather than technology, arguing that students today lack foundational understanding of language as a corpus due to digital-first upbringings and declining reading habits. By grounding students in how language works before explaining large language models, the course aims to teach durable skills that transcend rapidly changing AI technology.