Matt
Matt
@mattzcarey.com
ex pro windsurfer 🇲🇹 🌊 AI engineer. I work on streamlining access to large data sources, agents and retrieval - other interests in mech interp and data efficient fine-tuning.
633 followers1K following204 posts
Boss man did it!! DO’s will be the agent infra for the future.
langgraph's multi agent example on a durable object - uses ALS to "share" the DO instance with tools - so it can make the "chart" call inside the server, but renders in the browser (yay websockets) - also uses @mattzcarey.com new checkpointer - the thing can run even when a browser isn't connected
Super fun to speak at a packed ai engineer london. My talk was about how we eval agentic RAG with Langsmith Thanks @robbiehudson.bsky.social and crew for having me and for organising a great event 🙏
in 2025: - build a cursed programming language - publish my RAG stuff as real research - build more models with zml - generate 100x more tokens
learnt alot in 2024: ML -> transformers, finetuning data mindset AI -> search stuff, agent guardrails, evals cloudflare dev -> awesome modal labs -> containers in python Data engineering -> DAGs, lineage, access control, etl at scale Comp sci -> memory management, search algos, basics of zig
so a bit like this
Trying to define the AI Engineer role, I just explained it to a friend on 2d axis. On the x axis we have designer to FE to BE to ML to Data Science On the y axis we have cloud to hardware AI engineer blob sits right in the middle. wip but I think this is a nice way of thinking about it.
Slow memory of the stack solution Leetle #7 1/6 6:32 [10 lines] 🟩🟩🟩🟩🟩🟩 leetle.app
I knew gemini was the best LLM as a judge. Deepmind just proved me correct. www.kaggle.com/facts-leader...
day 11 of Advent of ML (nice to be back) and we are talking scaling at test time. Do models reason? what is scaling at test time and will it lead to mythical AGI level reasoning? find out more about this new scaling law: mattzcarey.com/blog/advent-... #blogvent #adventofml
This post is kindly sponsored by @elevenlabsio.bsky.social. You can listen to AI generated Matt voice over on this and every other Advent of ML post :)
I'm a pretty big fan of how fast and cheap dynamodb is. but the devex = ropey. Literally writing entity shapes in comments not forget them. dynamodb-toolbox makes dev ex as pretty as working with best orms I KNOW is not an ORM but I'm smooth brained (@jeremydaly.com) github.com/dynamodb-too...
I just completed "Guard Gallivant" - Day 6 - Advent of Code 2024 #AdventOfCode adventofcode.com/2024/day/6 brute forced this so hard. Not safe or fun. Enums in zig are cool tho
day 7 of Advent of ML and we are talking Transformers. one of the greatest discoveries in the last decade and the paper didnt win a single award in NeurIPS at the time. find out more about the discovery which made LLMs possible: mattzcarey.com/blog/advent-... #blogvent #adventofml
When the world wakes up to the power of evals. Tracing services gotta invest in their compute. 🙏 for the SREs
So you've built something with AI, does it work? do you even know? Day 6 of Advent of ML is on evals and how you measure the success of your system pre and post deployment. Hope you enjoy :) mattzcarey.com/blog/advent-... #blogvent