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Beyond Linear Chats: Rethinking How We Interact with Multiple AI Models
LLMs streamline research with diverse models, but linear chat apps hinder comparison. Solutions: visual mind maps, git-like snapsh...
The Strength of Dynamic Encoding: RECKONING Outperforms Zero-Shot GPT-3.5 in Dis...
This article benchmarks the GPT-3.5 LLM on multi-hop reasoning datasets, finding that RECKONING's performance significantly surpas...
Exploiting Memorization: Understanding the CLM Objective for Knowledge Encoding...
This article provides the necessary background and notation for reasoning research, defining problems as tuples
Effective Credit Utilization in Vibe Coding Tools and Rate-Limited Platforms
Vibe coding tools have shifted from unlimited to rate-limited usage due to unsustainable models. Intense backend LLM token burn of...
Real-Time Sync: The Missing Piece in Cross-Platform LLM Chat Apps
While LLM chat apps now support Android, iOS, macOS, and Windows, they're still struggling with synchronisation - conversations of...
I Reverse-engineered How 23 'AI-first' Companies Actually Build Their Products
So I spend way too much time looking at how companies claiming to be "AI-powered" or "built with AI" actually implement their tech...
The Simple Document Everyone Should Read to Understand Artificial Intelligence
Large Language Models (LLMs), like ChatGPT, translate words into numerical vectors so they can process them and produce intelligen...
The Hidden Flaw in Automated Content Generation
LLM-powered automated newsletters often generate repetitive content because Retrieval-Augmented Generation (RAG) systems stop sear...
The Problem With Persistent AI Memory: It Doesn’t Forget Context
A response length selector (Short/Medium/Long) could eliminate frustrating back-and-forth iterations and save time. Simple UX cont...
From Cloud to Desk: 3 Signs the AI Revolution is Going Local
The DGX Spark is a true supercomputer with a "smaller than a smartphone footprint" It's powerful enough to fine-tune models with u...
Context Engineering for Coding Agents
Coding agents are getting pretty good, but they're inconsistent. The same prompt can work one time and break the next. To get reli...
4 Counter-Intuitive Truths About Building Smarter AI Agents
Next great leap in artificial intelligence is the creation of “agentic LLMs”; AI that can perform complex, open-ended tasks withou...
