Post 2 gave us the math: 2 bytes per parameter in BF16. Apply that to a…
Category: Emsi
In this category I publish my original content that is blog posts, analysis, articles, random thoughts, experiments, etc. All that is not purely a feed of stuff that I’ve found on the internet.
LLMs in Production #2: How Much VRAM Do I Need?
Before you download the 30 gigabytes, before you request the cluster, before you spin up the…
LLMs in Production #1: Precision Explained
You download the model. Thirty gigabytes of something arrives on your drive. You run the loading…
The Hidden Human Costs Behind Today’s AI
The most striking insights about artificial intelligence rarely come from glossy tech demos or corporate press…
The Switchboard Paradox: Are We Solving Yesterday’s Problems with Tomorrow’s Tools?
When intelligence becomes a substitute for innovation Imagine it’s 1956. Bell Labs has just achieved the…
We Panic About AI Hallucinations While Ignoring 94% Human Error Rates
Picture this: It’s 2001, and Enron is riding high as one of America’ds most innovative companies.…
When Code Training Goes Wrong: The Surprising Case of Emergent AI Misalignment
Imagine you fine-tune an LLM on your company’s internal codebase, hoping the model will better understand…
GPT-5 is Here, and It’s Not What You Expected
OpenAI just dropped their GPT-5 System Card, and while everyone was expecting another monolithic model upgrade,…
The AI Agent That Actually Knows How to Build ML Models
How Google’s MLE-STAR is changing the game by doing what most ML engineers do: Google first,…
Qwen-Image: Finally, an AI That Can Actually Write
How Qwen’s new 20B parameter model solved the text rendering problem that’s been plaguing image generation…
Putting Math Behind the Madness: A Theoretical Framework for LLM Hallucinations
How researchers are organizing rigorous mathematical foundations for one of AI’s most persistent problems The Problem…
The Hidden Homework Problem: How ArxivRoll Exposed AI’s Inflated Test Scores
A new framework reveals that some leading AI models may be getting significant artificial score boosts…
Teaching AI Models to Debug Themselves: The Reflect, Retry, Reward Method
When Small Models Beat Giants Here’s a result that should make anyone rethinking the “bigger is…
Financial Dynamics in Agentic AI: Cursor’s Rise Versus GitHub Copilot
AI startups have been reshaping investment landscapes, and a closer look at the financial dynamics of…
Mistral AI Releases Codestral Embed: A Specialized Code Embedding Model
Mistral AI has released Codestral Embed, their first embedding model designed specifically for code representation and…
Holy Bayes! When a Math Guy Becomes Pope
Prelude: From Priors to Pontiff When the white smoke finally curled above St Peter’s, statisticians everywhere refreshed…
In Pursuit of Efficiency: Rethinking AI with DeepSeek-V3-0324
When technical prowess meets practical efficiency, the outcome challenges both conventional wisdom and entrenched market hierarchies.…
Awesome MCP Clients, A New Way To Interact With LLMs
The Model Context Protocol (MCP) is rapidly establishing itself as a foundational framework in the AI…
The New OpenAI Responses API: A Technical Deep Dive
The recent introduction of OpenAI’s Responses API marks an evolution in how developers interact with large…
Anthropic’s Claude Code: Terminal-Based AI Coding Assistant That Might Change Your Dev Workflow
Anthropic has recently launched Claude Code, a terminal-based AI coding assistant that integrates directly into developers’…