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thehindu.com > education > why-thinking-matters-more-than-speed-in-maths > article71502872.ece

Why thinking matters more than speed in Maths

2+ hour, 45+ min ago   (294+ words) Updated - October 06, 2026 08:43 am IST We may be tempted to praise the first student because of speed. But, perhaps, the second student has developed something equally important: the ability to make sense of an unfamiliar problem. This distinction becomes even more…...


medium.com > @sumitv8004 > beam-by-reflection-ai-inside-the-501b-parameter-model-built-for-ai-agents-038875d849da

Beam by Reflection AI: Inside the 501B-Parameter Model Built for AI Agents

39+ min ago   (1556+ words) Reflection AI’s Beam is more than another massive language model. With 501 billion total parameters, approximately 23 billion active parameters per token, 23.8 trillion training tokens, and more than 100 million reinforcement-learning rollouts, Beam represents a broader shift in how frontier AI systems are…...


kdrv.com > video > watch-retired-ai-robots-jump-into-fiery-vat-of-molten-steel > video_5c5be248-79c8-5161-91ce-2e59bf279186.html

Watch: Retired AI Robots Jump Into Fiery Vat Of Molten Steel

10+ hour, 47+ min ago   (248+ words) California AI robotics firm Figure decided to retire their decommissioned F.02 models in spectacular style by flinging them into a fiery vat of molten steel. Inspired by a social media post from Arnold Schwarzenegger, the company collaborated with a metal foundry…...


biz.chosun.com > en > en-it > 10/06/2026 > ZGQ3GAFAENB45MRXFYMMZGPARU

DeepMind urges culture-aware AI tests as English bias fuels blind spots

55+ min ago   (232+ words) Push to overhaul English-first benchmarks so AI respects local norms and avoids cultural missteps Aroyo said this in a keynote at the "AI Summit Conference" of "AI Festa," hosted by the Ministry of Science and ICT and organized by the…...


medium.com > @geekonik01 > data-analyst-course-in-noida-4d451cdc706d

Data Analyst Course in Noida

39+ min ago   (645+ words) A data analyst works with information to help businesses understand what is happening and why. Their work may involve collecting data, checking its accuracy, finding patterns, preparing reports, and presenting insights. Instead of looking at raw numbers, an analyst turns…...


swarnenduiitb2020i.medium.com > your-ai-pilot-is-brilliant-your-ai-co-pilot-cannot-land-the-plane-cdc299033350

Your AI Pilot Is Brilliant. Your AI Co-Pilot Cannot Land the Plane.

38+ min ago   (207+ words) Every enterprise AI rollout fails at the same seam. Not because the model is wrong. Because the model speaks the wrong language for software to act on. Two releases this month finally address both sides of this failure — from opposite…...


marktechpost.com > 10/05/2026 > beyond-domain-specific-world-models-jepa-anything-uses-1-recipe-for-7-fields

Beyond Domain-Specific World Models: JEPA-Anything Uses 1 Recipe for 7 Fields

47+ min ago   (338+ words) A standard JEPA, such as I-JEPA or V-JEPA 2, uses a context encoder, an EMA target encoder and one predictor. The predictor outputs one monolithic target embedding. The research team call this a capacity-allocation problem: high-variance structure dominates, and weaker modes…...


dev.to > nadiawhitfield > prompt-library-audit-intent-vs-model-dialect-3p05

Prompt library audit: intent vs. model dialect

37+ min ago   (966+ words) There's a prompt sitting in my image folder that looks like this: I've watched this happen enough times now — image, video, text — to say the uncomfortable version plainly. Most of what the internet calls prompt engineering is dialect. Dialect isn't…...


dev.to > renato_marinho > beyond-first-order-reasoning-why-llm-strategies-fail-under-pressure-4p47

Beyond First-Order Reasoning: Why LLM Strategies Fail Under Pressure

38+ min ago   (304+ words) Most AI-generated strategies suffer from the same terminal flaw: they are forward-only. If you ask an LLM to propose a market entry plan or a scaling architecture, it will present a linear progression of successful steps. It describes the ascent,…...


dev.to > karmendra_pandey_43ac6983 > i-found-a-cost-blind-spot-in-an-open-source-agent-framework-34b9

I Found a Cost Blind Spot in an Open-Source Agent Framework

36+ min ago   (365+ words) I was building cost attribution for AI agents on AWS when I ran into a gap in the open-source Strands Agents SDK: the framework knew how to talk to Amazon Bedrock models, but it didn't know which family some of…...