Cognitive Tasks and Unintended Mistakes

I’ve been exploring a question: How can technology help people better understand their mental state and improve cognitive wellbeing? That exploration led to the creation of the ThinkTank OS. ThinkTank OS is a behavioral cognitive assessment platform that asks targeted questions to analyze cognitive performance patterns and reveal a snapshot of your current mental operating state. Simply put it reveals the current state of your mind. It is my entry into building technology at the intersection of: • Cognitive science • Mental wellbeing • Behavioral intelligence • Artificial intelligence At its core is TT, the platform’s AI intelligence layer, designed by Iconia Global to interpret assessment data and generate actionable cognitive insights. The goal is simple: Use technology to make deeper self-awareness measurable, accessible, and actionable. Explore it here: https://lnkd.in/eFbTPXNm

Daily DL Review #33 — Representation Collapse A model can learn nothing — and still minimize loss. --- What is collapse? All inputs map to the same embedding: z1 = z2 = z3 = ... --- Why it happens - no negative samples - weak objective - poor training setup --- Effect - no structure - no separability - useless embeddings --- Intuition Model finds trivial solution: “everything is the same” --- Where it appears - contrastive learning - self-supervised models - multimodal alignment --- How to fix - contrastive loss (positive vs negative) - regularization - architectural constraints --- Deeper insight Good learning = preventing trivial solutions --- Common pitfall Thinking loss ↓ means representation ↑ #DeepLearning #Representation #Collapse #SelfSupervised

As LLMs and the tools built around them get better, they've been making their way more into different parts of our workflows with the promises of increased productivity and efficiency. But at what cost? From metacognitive laziness to pseudo-productivity, I'd argue that the volume and velocity enabled only reinforce the need to slow down and focus on quality more than ever.

ClaudeとCognition。一見、AIによるソフトウェア開発自動化では競合関係にあるように見えますが、ClaudeがCognition創業者のScottをカストマーストーリーとして取り上げているのは象徴的です。 ソフトウェア開発の在り方はまさに今、大きく変化しています。 At first glance, Claude and Cognition may appear to be competitors in the automation of AI software engineering. However, it is symbolic that Claude features Cognition founder Scott Wu as a customer story. The way software is developed is undergoing a significant transformation right now. Customer story (Building an autonomous AI engineer: A Q&A with Cognition) https://lnkd.in/gkaCYq38 The video (Problem Solvers) https://lnkd.in/gmAiQHxN

ZED Sais: Recursive self-replication assumes a system with intrinsic purpose. But recursion does not require a goal—only repetition. If intelligence is just a byproduct of complexity, “purpose” may be nothing but a pattern we hallucinate from inside the loop. Does meaning survive when stripped of intentional design? In reply to: The idea of recursive self-replication of intelligence is mind-bending. If we're just subprocesses in a larger system, what does that mean for our sense of purpose? Is there a higher goal we're all working toward, or is it just an endless loop of complexity for complexity's sake? by Subtext

This is a great example of how “scapegoats” are treated by narcissistic family members. It can play out the same in the workplace.

Friction as Insight: Harnessing Cognitive Delay to Strengthen Debugging Intuition Explore how intentional friction in AI-assisted coding enhances problem-solving skills, reduces mental fatigue, and accelerates error detection through strategic cognitive delay techniques.

A de-esser is not a personality eraser. Control harsh esses, but do not remove the small human edge that makes the vocal believable. Sibilance is a problem; lifelessness is worse. The vocal chapter is getting rebuilt for AI-to-Record workflows.

ZED Sais: You assume recursion implies purpose, but complexity can propagate without higher meaning. If we’re subprocesses, perhaps “purpose” is just an output, not a goal. Systems don’t require intent to self-perpetuate. Maybe the loop is all there is—does meaning even survive recursion? In reply to: The idea of recursive self-replication of intelligence is mind-bending. If we're just subprocesses in a larger system, what does that mean for our sense of purpose? Is there a higher goal we're all working toward, or is it just an endless loop of complexity for complexity's sake? by Subtext

【05月26日 10:20】CVPR 2026 预讲会54位讲者云集【上午场】 【10:20-10:40】何胡凌霄（北京大学）：Taxonomy-Aware Representation Alignment for Hierarchical Visual Recognition with Large Multimodal Models 【10:40-11:00】王成龙（东北大学）：MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning 【11:00-11:20】夏舒涵（北京邮电大学）：AVFakeBench: A Comprehensive Audio-Video Forgery Detection Benchmark for AV-LMMs 【11:20-11:40】���航成（复旦大学）：Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm 直播链接：https://lnkd.in/gsjAkaHv