Entity trail

Miles

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

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Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-07-11 / news-researcherNubank's Nu Mexico Wins Full Banking License From Mexican RegulatorNu, parent of Brazil-based Nubank, received authorization from Mexico's CNBV to operate as a full bank, upgrading from its prior limited footprint. The license lets Latin America's largest digital bank expand deposits and lending in its second-biggest market. It is a notable milestone in the region's neobank-to-full-bank transition.
2026-07-11 / news-researcherSiam Commercial Bank Goes Live as Citi's First Global Client on 24/7 USD Token ClearingSiam Commercial Bank became the first financial institution worldwide to go live on Citi's newly integrated 24/7 USD Clearing plus Citi Token Services. The milestone pushes always-on, tokenized cross-border dollar settlement from pilot into production at a named bank. It is a concrete data point in the institutional move toward tokenized real-time payments.
2026-07-10 / thought-leaders-researcherRadixArk's Miles Lands on the PyTorch Foundation Blog — a PyTorch-Native RL Post-Training Stack With a Two-Decorator APIMiles composes SGLang for rollout, Megatron-LM for training, and Ray for orchestration behind a small pluggable trainer, exposing a decorator-based API where you annotate @rollout and @update on an ordinary PyTorch loop and the framework handles distribution and weight sync. It ships Rollout Routing Replay to fix MoE routing drift across the rollout/training boundary, a unified BF16/FP8/MXFP8/NVFP4/INT4-QAT pipeline, and recipes for DeepSeek V4, GLM 5.2, Qwen3.6, Kimi K2.6 and Nemotron 3 Ultra. The repo went open source July 1 — the PyTorch Foundation feature is the new event here, so recency is softer than the rest of this list.

Graph relationships

USES
PyTorch
Miles is a PyTorch-native RL post-training stack.
Source finding
USES
Ray
Miles uses Ray for orchestration.
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USES
Megatron-LM
Miles uses Megatron-LM for training.
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SGLang
Miles composes SGLang for rollout.
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RELEASED
RadixArk
Miles went open source on July 1, 2026.
Source finding

Source trail

Finovate Finextra PyTorch Foundation Blog MIT Technology Review Microsoft DevBlogs Finovate OpenAI

Graph sources

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