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Clara B. Jones
Clara B. Jones @cbjones1943 ·
Replying to @cbjones1943
. Steven @sapinker, if you're not an #AI "ninja", you need to become one--yesterday; if you aren't "AI-native," you need to repeat over & over to yourself: "'Chat GPT 5.4 pro' knows more about #Cognitive #Psychology than I ever will know."; 💻🇺🇸
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JAMA Neurology
JAMA Neurology @JAMANeuro ·
Aerobic exercise, intensive blood pressure and cholesterol reduction, or both did not show differences in cognitive function improvement over 24 months among older adults with family history of #dementia or subjective #cognitive decline. ja.ma/3PmznYD
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Micha badra 🇱🇧
Micha badra 🇱🇧 @micha11685087 ·
🇱🇧🔴 اصيب حزب الله والحرس الثوري في لبنان بمرض يسمى بعلم النفس #Delusion إذا كان الشخص مؤمنًا تمامًا بالكذبة رغم وجود أدلة واضحة ضدها، فقد يكون ذلك نوعًا من الوهم او #Cognitive Dissonance ا يكذب الإنسان، ثم يقنع نفسه بالكذبة لتخفيف الشعور بالذنب أو التوترwCFAO
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Ms .Rose
Ms .Rose @MsRose120252893 ·
Replying to @MsRose120252893
เขาน่าจะกำลัง ยิ้มระรื่นอย่างมีความสุข ชื่นชมผลงานอันทรงคุณภาพ และสร้าง hate speech ต่อไป #cognitive #disorder #therapy
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JAMA Neurology
JAMA Neurology @JAMANeuro ·
Aerobic exercise, intensive blood pressure and cholesterol reduction, or both did not show differences in cognitive function improvement over 24 months among older adults with family history of #dementia or subjective #cognitive decline. ja.ma/4v7Jscn
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ORF GeoTech
ORF GeoTech @orfgeotech ·
Experts warn against the #AGIMyth despite AI’s advances; while large frontier models dominate #computational tasks, gaps in long-term memory and #cognitive versatility challenge the #global realisation of #AIBenefits. @rahulbatra1984 or-f.org/37474
India AI Impact Summit 2026: From Artificial to Augmented Intelligence

Amid apprehensions of an AI bubble, fueled by rampant geopolitical contestation, there is an urgent need to balance power-driven Big AI with purpose-driven Small AI

From orfonline.org
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Bernd Einfeldt
Bernd Einfeldt @BerndausHamburg ·
Replying to @BerndausHamburg
The Cognitive Architecture of Linear Thinking #Cognitive #Language  The tendency toward linear extrapolation is not a mere intellectual bad habit that education might correct. There is substantial evidence that it is deeply embedded in human cognitive architecture, the product es that optimized for rapid, locally valid judgments rather than globally accurate models of complex systems.  The psychological research of Daniel Kahneman and Amos Tversky identified a family of cognitive heuristics — mental shortcuts that are fast and often useful but systematically biased. Among the most relevant is anchoring, the tendency to make estimates by starting from an initial value and adjusting insufficiently. When people reason about future states of a system, they anchor on the current state and project a continuation of recent trends. The adjustment is almost always too small, and almost always linear. Similarly, availability bias causes people to weight recently experienced or easily imagined trajectories more heavily than statistically representative ones. Since most of lived experience consists of locally continuous periods — the chaos and discontinuities are, by definition, exceptional — the cognitive record is dominated by smooth progressions, reinforcing the linear projection habit. Cognitive research on numeracy has repeatedly demonstrated that human intuitions are poorly calibrated for exponential processes. Experiments on compound interest, epidemic spread, and population growth consistently show that people dramatically underestimate the outcomes of exponential dynamics, mentally substituting a linear approximation. The Lego bricks to the moon experiment — how many times must you double a tower of Lego bricks reach the moon? — reliably produces wildly underestimated answers precisely because intuition linearizes the exponential. Even more fundamentally, human intuition has essentially no native capacity for reasoning about chaotic dynamics — systems in which small perturbations in initial conditions produce radically different long-run trajectories. The concept of sensitive dependence on initial conditions is intellectually accessible but cognitively almost inert: we can state it, but we cannot feel it, and our reasoning defaults to the assumption that similar inputs produce similar outputs.
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