Kyle Waters

selected work across AI evals, human data, blockchain data systems, and technical research

Below are a few highlights that reflect how I think and work: working with difficult datasets and using them to understand emerging technologies. My recent work has focused on AI evals and human data, but I also spent three years at Coin Metrics studying blockchain networks within a highly technical research and data team.

AI / evals / human data

COMPOSITE-STEM benchmark
COMPOSITE-STEM: an open benchmark for frontier STEM agent tasks Apr. 2026
AsymmetryZero
Operationalizing Expert Preferences for Model and Agent Evals Mar. 2026
Harbor integration
Evaluating Agents on Portex with Harbor Mar. 2026
Data valuation
Data Valuation as a Foundation for AI Progress Sept. 2025
Hugging Face fine-tuning article
What Hugging Face Reveals About the Future of Model Fine-Tuning Aug. 2025
RFPs on the PortexAI Datalab
RFPs on the PortexAI Datalab Aug. 2025

blockchain data systems & market research

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Reputation Oracles: Determining Smart Contract Reputability via Transfer Learning, with Tadhg Looram & Lucas Nuzzi April 2024
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Breaking BFT: Quantifying the Cost to Attack Bitcoin and Ethereum, with Lucas Nuzzi & Matías Andrade February 2024
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The Complexities of Calculating Ethereum's Total Supply January 2024
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Exploring Crypto Asset Supply Transparency (with Bitcoin Suisse) October 2023
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Finding Common Ownership Patterns Across Major Stablecoins with UpSet Plots August 2023
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Simulating the "Surprisingly Popular" Algorithm August 2023
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Decoding the Digital Dollar July 2023
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MINE-MATCH dashboard June 2023
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The Signal & the Nonce: Reshaping our understanding of Bitcoin through new data on mining hardware June 2023
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Covering Ethereum’s 'Shapella' Upgrade April 2023
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Decoding Crypto Pricing February 2023
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Introducing Coin Metrics' datonomy™: A Digital Assets Taxonomy November 2022
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Presenting Coin Metrics' New Ethereum Staking Metrics After "The Merge" September 2022
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Mapping Out The Merge: Understanding Ethereum's Major Upgrade to Proof of Stake & Beyond August 2022
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Analyzing the Impact of EIP-1559 One Year On August 2022
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Analyzing Blockchain Activity by Time of Day with Heatmaps July 2022
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The Ethereum Crowdsale 8 Years Later July 2022
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Ethereum's Token Shakeout May 2022
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Calculating Adjusted On-Chain Volume on Public Blockchain Networks March 2022
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Tracking $45M in Crypto Donations to Ukraine March 2022
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What Happens to Airdropped Tokens? Studying the Data Behind the Largest Airdrops on Ethereum January 2022
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Introducing Coin Metrics' Bitcoin Wallet Metrics December 2021
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Explaining Some of Crypto’s Biggest Data Anomalies November 2021
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Digging into Uniswap DEX Data September 2021
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East vs. West: Comparing Tether and USDC Usage Patterns August 2021
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Understanding Total Value Locked (TVL) July 2021

Artnome (exploring art through data)

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Exposing 3AC's NFT Fund: tracing anomalous NFT flows during the Three Arrows Capital collapse June 2022
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The BAYC Burn: Breaking Down the Otherside Gas War May 2022
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Art Blocks and the Data of Generative Art May 2022
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In Search of Lost Robbies March 2022
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Data in the Year of the NFT January 2022
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The Rise of NFTs September 2021
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In Search Of An Aesthetics Of Crypto Art April 2021
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Who Is In Your SuperRare Network? March 2021
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How Rembrandt And Van Gogh Mastered The Art Of The Selfie January 2019
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New Data Shows Why Van Gogh Changed His Color Palette December 2018
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Inventing The Future Of Art Analytics November 2018

machine learning

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Applying Stochastic Gradient Descent and Backpropagation to Linear Regression July 2020
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Building a 3-Layer Neural Network From Scratch with numpy November 2018