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Part 3/3 Owning Intelligence Series: How Coinbase Built, Evaluated, and Post-Trained a Fraud Agent
TL;DR: Using SkyRL on Anyscale, we post-trained Qwen3.5-9B for Onramp fraud detection and served it with Ray Serve LLM and vLLM. On our benchmark, it exceeded Opus 4.5 across all four detection metrics, including 9.6% higher F1. In online inference, we reduced end to end latency by 55%.
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Part 2/3 Owning Intelligence Series: How Coinbase Built, Evaluated, and Post-Trained a Fraud Agent
TL;DR: Newer LLMs are not necessarily better at domain-specific tasks. On our fraud benchmark, newer Opus, Sonnet, and GPT versions all had lower recall, F1, and dollar-weighted recall—even when precision improved. The lesson: choose models using high-quality, domain-specific benchmarks, with reproducible evaluation and ideally deterministic scoring against verified outcomes. These findings also motivated our next step: post-training open-weight models for greater control over quality, cost, and deployment.
Part 1/3 Owning Intelligence Series: How Coinbase Built, Evaluated, and Post-Trained a Fraud Agent
TL;DR: How Coinbase built, evaluated, and post-trained an Onramp fraud agent to achieve 9.6% higher performance (F1 score) and 55% lower end to end latency than frontier models.
Migrating 300+ namespaces from self-hosted Temporal to Temporal Cloud
TL;DR: We moved more than 300 Temporal namespaces, across more than 300 services, from a cluster we ran ourselves onto Temporal Cloud. You cannot finish the move by repointing services at Temporal Cloud while workflows are still running on the old one. Where teams could pause new work, we waited for in-flight runs to finish and then switched; for trading, payments, and long-running work, we ran the old cluster and Temporal Cloud, and moved new workflows over in steps, with rollback as a config change. Private connectivity, per-namespace service allowlists, and encrypted payloads were in place before the first production namespace moved.
It's Time for Brazil to Lead the Change to the Future of Finance
TLDR: In October, Brazilians head to the polls. Tens of millions of votes will be cast by crypto holders. Cryptocurrencies are already part of people’s lives, with nearly 29 million Brazilians having or having previously owned digital assets and 65.8% of investors consider it important to vote for lawmakers committed to protecting the rights of digital asset users.
Modveon and Coinbase bring instant, low-cost remittances to Sivar, El Salvador’s new trusted community and payments app
TL;DR: Modveon is using Coinbase’s payments infrastructure to bring fast, low-cost money movement to Sivar, El Salvador’s new trusted community and payments platform. Eligible U.S. users can send money to verified recipients in El Salvador for a flat $2 fee per transfer.