The only IQ test he ever took gave him a score of 127.
He won a Nobel Prize and was one of the greatest scientists of the 20th century. And a great communicator of science as well.
@SHomburg@KonstantinNotz Gemini meint, das Bild sei "eine bekannte Desinformations-Grafik, die eine Mischung aus frei erfundenen Zitaten, aus dem Kontext gerissenen Sätzen und wenigen echten Aussagen enthält."
Memory bandwidth contention is one of the biggest sources of performance interference in multicore systems. While Linux's MemGuard addresses this problem, its control loop is fundamentally reactive.
MemGuard periodically samples hardware PMU counters to estimate each core's memory bandwidth usage. If a core exceeds its configured bandwidth budget during a regulation period, it is throttled (typically by scheduling an idle thread) until the next period. This effectively protects latency-sensitive or real-time workloads from sustained interference.
The limitation is that congestion has already happened by the time MemGuard reacts. During the current regulation window, memory-intensive tasks may have already saturated the DRAM controller, increased request queue occupancy, and delayed LLC miss servicing for other cores. The throttling only prevents future interference.
LMS-AR extends this idea by making bandwidth regulation predictive instead of reactive. It continuously learns each core's memory access pattern using an adaptive Least Mean Squares (LMS) filter and predicts bandwidth demand for the next regulation interval. Based on these predictions, the regulator proactively redistributes bandwidth quotas before memory contention develops.
The result is a control loop that can reduce transient congestion, improve bandwidth utilization, and provide tighter latency guarantees for real-time applications without waiting for bandwidth violations to occur.
A small algorithmic change from reactive enforcement to online adaptive prediction, can significantly improve memory QoS in multicore systems.
This is Jeanne Calment, who sold her house at the age of 90 to her lawyer M. Raffray. Under the contract, she could live in the house until she died and receive 2,500 Francs per month from him. Jeanne went on to live to 122 years of age outliving M Raffray. She stopped smoking at 117.
@elonmusk@magicsilicon It kind of makes sense. Chips today are 3D stacked and the nm declaration expresses what size would have been required to archive this in 2D (+ less wasted space in between structures). AFAIK actual shrinking has stopped long ago so this would be a useless number (same for ALUs)
Liebe Kreuzberger Nachbarn! Nachdem ihr uns am Wochenende so einen netten Besuch abgestattet habt, dachte ich mir, ich schreib euch mal ein Ständchen à la Rio Reiser. Viel Spaß damit!
in 2000 a programmer discovered you can implement coroutines in C using the same switch trick as Duff's Device
it's called Tatham's Coroutine. it still compiles and is technically valid C
he used it in production inside PuTTY (the SSH client used by millions)
Simon Tatham's own words: "As far as I know, this is the worst piece of C hackery ever seen in serious production code."
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]
Once you become a parent nothing is ever quite the same again, including the brain. These changes begin before the baby is even born, and are still traceable decades later. Explore the brain through the stages of pregnancy and postpartum with our 3D model. Find out more on whether being induced leads to more unwanted medical intervention: https://t.co/BKfKZ1uQaj