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Anthropic reconstructs NIST’s curve seeds
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◆ Braid Daily · 2026-10-17

Anthropic reconstructs NIST’s curve seeds

Anthropic publishes a reproducible reconstruction; DeepSeek releases new coding weights, and cloud agents confront state and review limits.

A yellow elliptic curve on dark glass, with faint clockwork reflections.

The lead

1

[Anthropic reports](https://www.anthropic.com/research/ecdsa-curve-origins) that an internal Claude model reconstructed NIST’s prime-curve seeds using a timestamp-seeded pseudorandom generator, and provides code to reproduce them. The result reduces uncertainty about their origin; the criteria for selecting candidate curves remain unresolved.

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Anthropic reconstructs published NIST curve seeds from a timestamp and a pseudorandom generator; selection criteria remain unresolved.
Anthropic's reconstruction explains seed provenance. It leaves questions about which candidate curves were selected.

Models & training

3

DeepSeek releases V4.1-Flash-1017 weights

DeepSeek · Hugging Face

[DeepSeek reports](https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017) a Terminal-Bench 4.0 score of 42.3, up from 31.2, using the Claude Code harness. Its DeepSWE v1.1 score rises to 77.0 from 74.2 with Mini-SWE-V2. Both comparisons are vendor-reported.

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Microsoft details the training stack behind MAI-Base-2

Microsoft AI

Following yesterday’s MAI-Base-2 announcement, [Microsoft’s technical write-up](https://microsoft.ai/news/frontier-pre-training-at-microsoft-ai/) covers data strategy, compute efficiency, and the infrastructure behind pre-training. It also describes plans to bring internally trained models to Foundry.

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Agents, state & code review

4

Latent Space examines cloud-to-local agent state

Latent Space · 1h15m

The speakers argue for append-only event logs so coding agents can resume across environments, citing Pi’s persistence work. They also describe human review capacity as a constraint on agents that generate code overnight.

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How Claude Code limits repeated review rounds

Anthropic · Claude developer blog

[The team describes](https://claude.dev/blog/solving-code-review-at-anthropic/) a review process that asks authors to reconsider their approach after three rounds and narrows later reviews to the diff. Humans retain responsibility for consequential decisions and changes to sensitive code.

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Anthropic presents dynamic multi-agent workflows

AI Engineer · 1h41m

The talk demonstrates a lead agent creating and coordinating sub-agents as tasks change. Managed lifecycles and durable event logs support parallel execution and recovery without requiring developers to predefine every agent connection.

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Capital, policy & vendor choices

3

Anthropic reportedly offers Blackstone a yield above 10%

Financial Times via Techmeme

Following yesterday’s AI debt coverage, the FT reports that Anthropic is offering Blackstone a yield above 10% to help finance Google tensor processing unit purchases. The proposed debt package totals $60 billion, with Blackstone expected to invest $9 billion, according to the report’s sources.

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Replit’s Anthropic relationship is disputed

TechCrunch

[TechCrunch reports](https://techcrunch.com/2026/10/16/replit-is-no-longer-working-with-anthropic-ceo-says/) that Masad cites cost and performance as reasons for Replit leaving Anthropic; an unnamed source says the partnership remains in place.

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Agent access & identity

2

Companion episode

Anthropic's Claude Traces NIST Curve Seeds to a 1997 Unix Clock

· 00:22:34