Luo et al. characterize a comprehensive molecular portrait of neurotransmitter receptor genes across 33 cancer types using multidimensional omics data from The Cancer Genome Atlas and other independent cohorts. They identify clinically relevant neuroregulatory subtypes with distinct molecular features, advancing the emerging field of cancer neuroscience.
Scientists have identified a reversal of the long-standing Flynn effect—the roughly 200-year trend of rising average intelligence (measured via IQ and cognitive tests) across generations. For the first time in modern recorded history, Generation Z (born roughly 1997–2012) shows lower performance than previous generations in key cognitive domains, including attention, memory, literacy, numeracy, executive function, problem-solving, and general IQ—despite spending more years in formal education than ever before. Neuroscientist and educator Dr. Jared Cooney Horvath, PhD, MEd, testified before the U.S. Senate Committee on Commerce, Science, and Transportation on January 15, 2026, highlighting this shift. In his written testimony, he stated that cognitive development in children across much of the developed world has stalled or reversed over the past two decades, with declines evident in international assessments (e.g., PISA, TIMSS) and other large-scale data starting around the mid-2000s and accelerating post-2010. Horvath attributes the primary driver not to reduced schooling, but to the widespread integration of digital screens and educational technology (EdTech) in classrooms. He argues that human brains evolved for deep, focused learning through face-to-face interaction and sustained attention, not fragmented skimming or constant task-switching encouraged by devices. Key points from his testimony include: — Teens now spend over half their waking hours on screens, with significant portions in school involving computers or tablets—often leading to off-task behavior and shallower processing. — Evidence from meta-analyses and national/international studies shows a consistent pattern: higher classroom screen exposure correlates with weaker outcomes in reading, math, science, and higher-order reasoning. — Digital tools may aid narrow, repetitive skill practice in controlled settings, but in core academic contexts, they tend to reduce depth of understanding, retention, and critical thinking. Horvath describes this as a “structural mismatch” between human cognition and how digital platforms are designed (to capture and fragment attention), warning that unchecked EdTech adoption risks long-term harm to workforce skills, innovation, and societal reasoning. [Horvath, J. C. (2026). Written testimony before the U.S. Senate Committee on Commerce, Science, and Transportation. U.S. Senate]
A massive new meta-analysis reveals that individual cognitive abilities, like reading and math, rely on inherited DNA just as much as overall intelligence, suggesting people possess heavily customized genetic cognitive profiles independent of general smarts.
Elon Musk UPDATE Neuralink 4.0 Chip introduces Neuralink’s next-generation O1 brain chip developed with Samsung.
This video explores the latest progress of the Neuralink 4.0 chip, including movement restoration, speech recovery, Blindsight vision technology, and how Neuralink patients are using brain-computer interfaces today.
We also examine Samsung’s 4nm partnership, the new R1 surgical robot, and competition from Synchron, Paradromics, and China’s NEO system to understand how the Neuralink 4.0 chip could shape the future of the BCI industry.
If you’re interested in Elon Musk, AI, neuroscience, and future medical technology, this breakdown explains why many experts view the Neuralink 4.0 chip as one of the most important developments in brain-computer interfaces.
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Gary Marcus is now one of the loudest skeptics of the AI boom. In 2012, almost nobody was listening.
I have the tape.
That year, I sat down with him for Singularity. FM, right after he published a sharp critique of Ray Kurzweil’s theory of mind in The New Yorker. Marcus was already making the argument that would define his career. Intelligence is not just pattern-matching. The mind is a kluge, a messy evolutionary patch job. And scale alone will not get you to real #AI.
More than a decade later, that argument is everywhere. Labs are chasing the hybrid and neurosymbolic approaches he pointed to back then. The field finally caught up to the conversation.
But here is what makes the interview worth revisiting. He also bet big on neuroscience as the road forward, on projects like Blue Brain and Whole Brain Emulation. The breakthroughs came from somewhere else entirely.
So was he the prophet, or just early on some calls and wrong on others? Watch it and decide for yourself.
