Beaverlabs
2021 — present
Full-stack developer. Turning of marine vessel data into , web dashboards.
React · TypeScript · Elixir/Phoenix · Postgres/SQL · Elasticsearch · ClickHouse
Taylor G. Lunt
Software of .
Background
University of Toronto
B.Sc.
how humans and machines .
Psychology · Computer Science
Projects
TrafficMap
A real-time global marine traffic map.
TypeScript · React · Redpanda (Kafka) · ClickHouse · Docker
taylor.gl v1
The original version of my personal website, made in 2021.
Elixir · Phoenix · TailwindCSS
The Tincture
A video game made for the PirateSoftware Game Jam 15
Construct 3 · Krita
Writing
The Magnus Challenge
Let's say you're a club chess player with an Elo of 1500 (early intermediate). If you can beat Magnus Carlsen, rated 2800, at a game of one minute bullet chess, you win a billion dollars. Magnus only gets one minute on his clock, but you get one year on your clock. Even given that advantage, you don't have a chance. However, there's a twist: During your year of time, you can challenge any other pl...
LaughBench
Introducing LaughBench . For a long time, I've considered the ability for AI models to tell novel, funny jokes that actually make people laugh to be a robust indicator of real general intelligence (as opposed to, say, coding tasks). I have used this benchmark informally over the months, seeing if any model could generate novel jokes to make me laugh (at a rate above the really low base rate where ...
AI Mistake Seeding
I wonder if AI is being trained to make easy-to-correct mistakes so it can fix them later. That is, it ends up trained to correct its previous message's mistake, then make another mistake, so it can correct it again in the next message. From my understanding of RL, the human/AI judge has to rank several policy model responses. These might be the first response in a conversation, or they might be t...
Why Prediction Markets Aren't Magic
The dream is that prediction markets greatly outperform individual experts, but there's a limit on how much this can actually happen. The reason prediction markets aren't more useful is that you can only profit from a prediction market if gathering information is cheaper than the money you'd make from gathering it. Let's imagine I write down either "horse" or "donkey" on a slip of paper, and put t...
Minimizing Loss ≠ Maximizing Intelligence
Many speculate about the possibility of an AI bubble by talking about past progress, the economy, OpenAI, Nvidia, and so on. But I don't see many people looking under the hood to examine whether the actual technology itself looks like it's going to continue to grow or flatline. Many now realize LLMs may be a dead end, but optimism persists that one clever tweak of the formula might get us to super...