Why Reasoning Models Are Geniuses in Math But Dumb in Everything Else
Author(s): MKWriteshere Originally published on Towards AI. New research reveals why specialized reasoning models excel at calculus but struggle with everyday tasks AI models are consistently outperforming math benchmarks every week. Some even beat human experts on competitions like MATH and AIME. …
Claude’s Full System Prompt Leaked: 24,000 Tokens of Hidden Instructions Exposed
Author(s): MKWriteshere Originally published on Towards AI. “Why does my Claude chat hit the limit so quickly?” This question echoes across forums as users struggle with the AI assistant’s seemingly arbitrary constraint Claude is the best for creative writing, and it has …
World’s First AI Agent Hospital: 42 AI Doctors, 4 Nurses, 0 Humans
Author(s): MKWriteshere Originally published on Towards AI. In the real world, becoming a doctor is a marathon, not a sprint. It takes roughly 20 years of education, 12 years of school, four years of college, four years of medical school, followed by …
The Hidden Cost of AI: The Workplace Penalty Nobody Saw Coming
Author(s): MKWriteshere Originally published on Towards AI. Image Generated by Author Using Gpt-4o Using AI may boost your productivity while secretly tanking your professional reputation. New research reveals a troubling disconnect between AI’s benefits and how others perceive AI users, creating a …
Two Minds, One Goal: The Striking Parallels Between Human Brains and AI Agents
Author(s): MKWriteshere Originally published on Towards AI. The biological-computational comparison is transforming how we build thinking machines Imagine ancient Greek craftsmen telling stories of Talos, a bronze giant who patrolled Crete’s shores, protecting the island from intruders. Or picture Leonardo da Vinci …
The Unauthorized Experiment: How AI Secretly Infiltrated Reddit and Changed Users’ Minds
Author(s): MKWriteshere Originally published on Towards AI. Image Generated by Author Using Gpt-4o (Non-Member Link) What if you discovered that the online stranger who changed your deeply held opinion wasn’t a person at all? This alarming scenario became reality for thousands of …
From Newton to Neural Networks: Why Hallucinations Remain Unsolvable
Author(s): MKWriteshere Originally published on Towards AI. The Mathematical Paradox at the Heart of AI’s Greatest ChallengeImage Generated by Author Using Gpt-4o When you marvel at a large language model’s capability, remember it rides on centuries-old mathematics. Newton’s discovery of the derivative …
How Claude Discovered Users Weaponizing It for Global Influence Operations
Author(s): MKWriteshere Originally published on Towards AI. The terrifying discovery of a global shadow network orchestrating social media deceptionImage Generated by Author Using Gpt-4o (Non-Member Link) Imagine a world where your online interactions, the comments you receive, the posts you engage with, …
The Power of Less: How Chain of Draft Makes AI Reasoning Faster and Cheaper
Author(s): MKWriteshere Originally published on Towards AI. In today’s AI landscape, large language models (LLMs) like GPT-4 and Claude can solve complex problems with impressive accuracy. But this capability comes at a cost, both in processing time and computational resources. What if …
The Great Disconnect: Why Talking to Machines Still Feels Like Talking to Machines
Author(s): MKWriteshere Originally published on Towards AI. From Clippy to ChatGPT: The Thirty-Year Quest to Solve AI’s Hardest ProblemImage Generated by Author Using Gpt-4o (Non-Member Link) In 1995, Gartner published its first “Hype Cycle” report — a visual representation of how technologies …
Docker Enters AI Arena: Run LLMs Like Standard Containers
Author(s): MKWriteshere Originally published on Towards AI. Native GPU acceleration and OpenAI-compatible APIs come to containerized local modelsImage Generated Using Gemini Please CLICK HERE to read for Free Imagine typing docker run model mistral/mistral-small and instantly having a powerful AI at your …
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