Matt Rickard

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03-31-26	The Spec Layer
08-30-25	Using Claude Code from Anywhere
12-03-23	ChatGPT After One Year
12-01-23	Data Quality in LLMs
11-30-23	Discord and AI GTM
11-24-23	How AI Changes Workflows
11-22-23	Strategies for the GPU-Poor
11-18-23	The Model is Not the Product
11-17-23	The AI-Neid
11-16-23	Model Merge - (Frankenmerge)
11-15-23	The Cost of Index Everything
11-13-23	Copilot is an Incumbent Business Model
11-09-23	AI Agents Today
11-08-23	Norvig's Agent Definition
11-07-23	The Context Length Observation
11-05-23	Improving RAG: Strategies
11-03-23	Lessons from llama.cpp
11-02-23	Why Model Evaluation is Difficult
11-01-23	Mechanical Turks
10-30-23	What If OpenAI Builds This?
10-28-23	Infrastructure as Code Will be Written by AI
10-26-23	Between Images and Text, CLIP
10-24-23	Tech Invariants
10-23-23	Horizontal Tuning: Instruction, Chat, and What Else?
10-22-23	Retrieval Augmented Generation
10-19-23	Benefits of Small LLMs
10-18-23	Can OpenAI Win Consumer and Enterprise?
10-16-23	Revision: Generative text-to-UI
10-14-23	An Intelligent Wikipedia
10-13-23	The Half-Life of the AI Stack
10-09-23	Moravec's Paradox
10-02-23	Generative Interfaces
09-30-23	Compression / Learning Duality
09-29-23	Is AI a Platform Shift?
09-28-23	Passkeys, Crypto, and Signing AI Content
09-27-23	Is Data Still a Moat?
09-26-23	Multi-Modal AI is a UX Problem
09-20-23	AI Biographers
09-19-23	Customized End User Software (with AI)
09-16-23	The Age-old Resistance to Generated Code
09-14-23	Undetectable AI
09-11-23	Fine-tuning Stable Diffusion XL with Personal Photos
09-09-23	Beyond Prompt Engineering
09-05-23	Type Constraints for LLM Output
09-01-23	Capital Intense AI Bets
08-30-23	Llama 2 in the Browser
08-29-23	The Contrarian Strategy of OpenAI
08-27-23	AI and Text-First Interfaces
08-25-23	The Free Lunch of Model Distillation
08-21-23	A Model API Gateway for 20+ LLMs
08-16-23	What is a Prompt Engineer?
08-13-23	My Everyday LLM Uses
08-11-23	Llama/Unix
08-10-23	Deterministic, Structured LLM Output
08-08-23	A Fine-Tuning Marketplace
08-01-23	Automatic and Universal Adversarial Prompts
07-20-23	Robots.txt for LLMs
07-19-23	Why Did Meta Open-Source Llama 2?
07-15-23	Scale to Zero for AI Workloads
07-07-23	The Anti-AI Movement
07-04-23	Where AI Fits in Engineering Organizations
06-30-23	Personal Lessons From LLMs
06-29-23	Overcoming LLM Hallucinations
06-25-23	Model Evaluation is (Still) An Art
06-22-23	No Feature is Free (Especially AI Ones)
06-21-23	Mixture of Experts: Is GPT-4 Just Eight Smaller Models?
06-20-23	The LLaMA Ecosystem
06-17-23	The Low-Background Steel of AI
06-16-23	Why Does Every AI Cycle Start With Chat?
06-15-23	A Token Efficient Language for LLMs
06-12-23	It’s Too Early To Call Winners in AI
06-09-23	The Myth of the AI Infrastructure Phase
06-08-23	LLMs For Software Portability
06-07-23	ChatGPT Plugins Don't Have PMF
06-06-23	Levels of Autonomy in AI Agents
06-05-23	The Problem with Tokenization in LLMs
06-04-23	What Diffusion Models Can Teach Us About LLMs
06-03-23	Sequence and Version Control Models
05-31-23	Faster Horses: AI Products That Companies Think They Want
05-29-23	AI Means More Developers
05-27-23	Prompt Engineering is Configuration Engineering
05-26-23	SEO Inside AI
05-24-23	The ChatGPT Plugin Specification
05-21-23	The New Tax on Engineering Against the Grain
05-19-23	On Regulating AI
05-18-23	On Device AI?
05-17-23	A List of Leaked System Prompts
05-16-23	Intercloud Brokers
05-15-23	React LLM: Run Models in the Browser with Headless Components
05-14-23	Context-Free Grammar Parsing with LLMs
05-12-23	StackOverflow/ChatGPT
05-11-23	Self-hosted Compilers and Bootstrapped AI
05-10-23	Unix Philosophy for AI
05-08-23	The New AI Moats
05-05-23	ReLLM: Exact Structure for Large Language Model Completions
05-04-23	llm.ts
04-30-23	Implementing LLMs in the Browser
04-26-23	Probabilistic Data Structures and LLMs
04-21-23	Autonomous LLM Agents Are At Least 10 Years Out
04-19-23	Sandbox Your Prompts
04-17-23	Jevons Paradox and LLMs
04-14-23	Synthetic Data From Compilers
04-13-23	Foundational Models Are Not Enough
04-10-23	A List of 1 Billion+ Parameter LLMs
04-09-23	No GPUs before Product-Market Fit
04-07-23	Buyers in the Foundational Model Stack
04-05-23	A High-level LLMOps Architecture
04-03-23	The Automation Frontier
04-02-23	Why Open-Source a Model?
03-30-23	The AI Partnership Race
03-29-23	A Hacker's Guide to LLM Optimization
03-27-23	Code, not Chat, in Generative AI
03-26-23	Distributed Systems and AI
03-23-23	Are Incumbents Accruing All The AI Value?
03-22-23	Model Arbitrage
03-21-23	Modeling Context Length vs. Information Retrieval Cost in LLMs
03-17-23	Foundational Models Are Commodities
03-16-23	On OpenAI's Kubernetes Cluster
03-15-23	Choosing the Right Model
03-13-23	On Prompt Injection
03-12-23	Local LLaMA on a Mac M1
03-11-23	Automatic1111 and AI Aggregators
03-09-23	Chain of Thought Paradigms in LLMs
03-05-23	Will The AI Stack Be Open Or Closed?
03-02-23	ChatML and the ChatGPT API
02-25-23	Commoditization of Large Language Models: Part 3
02-19-23	Why Python Won't Be the Language of LLMs
02-16-23	Why ChatGPT Needs AuthZ
02-12-23	LLM Ops, Part 1
02-10-23	Multi-Model vs. Multi-Cloud
02-05-23	Composable Models
01-28-23	Overview of GPT-as-a-Backend
01-23-23	Prompt Engineering Shouldn't Exist
01-22-23	GPT Lineage
01-14-23	Garbage In, Garbage out?
01-12-23	Minix and nanoGPT
01-10-23	Lessons from the Last AI Cycle
01-08-23	Fine-Tuning an OCR Model
01-02-23	A New ML Stack
12-30-22	Local AI: Part 2
12-29-22	Local AI: Part 1
12-26-22	Turing Social: Twitter, For Bots
12-21-22	ML Developer Experience
12-15-22	AI-driven Interfaces
12-14-22	LAION, The Pile, and more datasets
12-12-22	Lessons from Lensa
12-08-22	Spam Filtering AI Content
12-06-22	Stack Overflow Bans ChatGPT
12-05-22	Will LLMs Disrupt Google Search?
12-03-22	A Conversation with ChatGPT
11-27-22	Human-in-the-Loop and Other AI Mistakes
11-19-22	Generative AI Value Chain
11-13-22	LLMs for Code
10-21-22	AI Will Write Most Code
10-19-22	AI Scaling Laws
09-12-22	TensorFlow vs. PyTorch
07-25-22	Defensible Machine Learning Model Naming
06-22-22	How to Use GitHub Copilot Effectively
11-09-21	Open-sourced GPT-J
08-17-21	One Month of Using GitHub Copilot
07-10-21	GitHub Copilot
06-26-21	Machine Learning Operations (MLOps), Convergent or Divergent?
03-14-21	ScapeNet: Real-time object detection in RuneScape