According to @AnthropicAI, the SGTM study was run in a simplified setup using small models with proxy evaluations rather than standard benchmarks, limiting generalizability for production-scale systems, source: https://twitter.com/AnthropicAI/status/1998479616651178259. According to @AnthropicAI, SGTM does not stop in‑context attacks when an adversary supplies the information themselves, underscoring unresolved model misuse risks, source: https://twitter.com/AnthropicAI/status/1998479616651178259. According to @AnthropicAI, the post provides no standard benchmark results or references to financial or crypto assets, and it does not indicate any direct crypto market catalyst in this update, source: https://twitter.com/AnthropicAI/status/1998479616651178259.

According to @AnthropicAI, the company published the full SGTM research paper and released the associated code on GitHub to enable reproducibility, source: @AnthropicAI on X, Dec 9, 2025. The announcement includes no mention of cryptocurrencies, tokens, or blockchain integration, indicating this is a research disclosure rather than a token or product launch, source: @AnthropicAI on X, Dec 9, 2025.