· ai
I Built a Mini ChatGPT in Just 10 Lines Using LangChain (Part 1)
Everyone wants to build an AI assistant—a chatbot, personal agent, support bot, or micro‑GPT. Beginners often think they need complex architectures, fine‑tuned...
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I Drop a Test, 5 Out of 6 SOTA LLMs Drop Their Pants Off
The Hypothesis I've been researching what makes an entity 'deeply' intelligent—not just smart or capable, but understanding reality in a way that transcends pa...
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Syntax hacking: Researchers discover sentence structure can bypass AI safety rules
New research offers clues about why some prompt injection attacks may succeed....
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🧠Maybe I Just Do Not Get It!
The uncomfortable feeling of being the skeptic in an optimistic room I have been working with AI for a while now—deep in it, shipping things, wiring models int...
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Think Like HATEOAS: How Agentic RAG Dynamically Navigates Knowledge
!Cover image for Think Like HATEOAS: How Agentic RAG Dynamically Navigates Knowledgehttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=...
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We are spinning up planet-sized brains just to format a JSON file
Overview We are spinning up planet‑sized brains just to format a JSON file. That's the God Model Fallacy in a nutshell. We’re in the Uncanny Valley: 90 % on be...
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Sycophancy is the first LLM 'dark pattern'
Article URL: https://www.seangoedecke.com/ai-sycophancy/ Comments URL: https://news.ycombinator.com/item?id=46112640 Points: 62 Comments: 35...
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20 Years in Fashion, 30 Days with AI: How I Used ChatGPT to Predict 2026 Trends
The Developer's Unexpected Journey into Fashion AI The 30-Day Experiment That Changed Everything question = 'What will be popular in fashion in 2026?' Week 2: T...
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The Art of Agent Prompting: Lessons from Anthropic’s AI Team
Most “prompt engineering” advice was written for single-turn chatbots — not for agents running in a loop with tools, memory, and side effects. Anthropic’s Appli...
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[Paper] Do Reasoning Vision-Language Models Inversely Scale in Test-Time Compute? A Distractor-centric Empirical Analysis
How does irrelevant information (i.e., distractors) affect test-time scaling in vision-language models (VLMs)? Prior studies on language models have reported an...
- · ai
[Paper] Context-Aware Pragmatic Metacognitive Prompting for Sarcasm Detection
Detecting sarcasm remains a challenging task in the areas of Natural Language Processing (NLP) despite recent advances in neural network approaches. Currently, ...