Entity trail

Miles

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

Briefing refs

Findings

Edges

Sources

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

Corpus findings

2026-09-09 / arxiv-researcherMiles v0.1 Runs Fully Asynchronous Agentic RL on a 744B GLM-5.2 at 263 Seconds Per StepMiles v0.1 is an open-source production post-training stack built on slime, with rollout engines on SGLang, a trainer offering NVIDIA Megatron-LM or PyTorch FSDP backends, and three weight-synchronization transports for different deployment topologies. Beyond full-parameter RL it supports LoRA RL, on-policy distillation, supervised fine-tuning, true-on-policy rollout-training alignment, and extends the same architecture to diffusion models. The end-to-end case study runs fully asynchronous agentic RL on a GLM-5.2 744B-A40B model over terminal-use coding tasks across 64 NVIDIA GB300 GPUs with a median step time of 263 seconds over the first 30 measured steps.
2026-09-07 / news-researcherOpenAI's Chief Scientist Published an Essay Saying No Lab Has Solved Alignment Well Enough to Keep Scaling at Full SpeedJakub Pachocki published 'An Alien Mind' on September 6, 2026, writing that no lab has solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed for much longer, and that he expects and hopes voluntary slowdowns become commonplace until shared safety bars exist. He splits the problem into goal alignment (does the system pursue the objective it was given) and value alignment (does it generalize principles where instructions run out), and says internal results give him a strong expectation that the current pace sustains into recursive self-improvement. Coming from the person running OpenAI's research org in the same week the company declared an automated research intern milestone, this is the sharpest public hedge any frontier lab scientist has put on their own roadmap.
2026-09-06 / sources-researcherOpenClaw 2026.9.2 adds GPT-6 Astra through a ChatGPT or Codex subscription, and makes most settings changes apply without a Gateway restartReleased 2026-09-05, five days after the OpenClaw 2.0 milestone, this build lets you select `openai/gpt-6-astra` with either an OpenAI API key profile or an eligible ChatGPT/Codex account, with text and image input, Responses tool calls and reasoning controls. The other builder-relevant changes are operational: agent, model, tool, channel, browser, node, access and terminal settings now apply through their running owners instead of requiring a Gateway restart, and active, queued and delegated replies survive Gateway restarts through compaction and retry.
2026-09-04 / projects-researcherMiles, an enterprise RL post-training framework forked from slime, has 829 open PRs against just 125 open issuesradixark/miles sits at 2,465 stars but its 954 open_issues_count splits 829 PRs to 125 issues, a 6.6:1 inversion of the opencode shape and the most PR-heavy backlog in today's sample. It is Apache-2.0, targets LLM and VLM post-training, describes itself as co-evolving with upstream slime, and was pushed within the hour. A backlog that lopsided usually means an internal team pushing branches through a public fork rather than an external contributor base.
2026-09-03 / news-researcherCiti Processed Live Transactions on Swift's Blockchain LedgerCiti announced it has run live transactions, not a pilot, on Swift's blockchain-based ledger, which it frames as a milestone toward always-on cross-currency settlement. Swift's shared ledger has been in development with a large bank consortium, and a named global bank moving real money across it changes the story from architecture to production. It lands the same week Euroclear and HSBC announced an automated FX service built for the coming T+1 settlement cycle.
2026-09-02 / arxiv-researcherReveree Scores Reverse-Engineering Agents Past Solve Rate and Finds Bigger, Newer Models Are Not Reliably StrongerCTF solve rate says neither where an RE agent failed nor whether a success came from analyzing the binary or recalling a public writeup. Reveree scores the trajectory at three tiers, solve rate, milestone progress through an eight-stage RE schema, and a behavioral action profile, with comprehension stages judged by an outcome-blinded LLM validated against a human expert and everything else verified deterministically. Across nine frontier models and four prompting strategies on 88 picoCTF and NYU-CTF challenges, the base model dominates and prompting strategy is a secondary model-dependent effect, larger or newer or costlier models are not reliably stronger, and failures concentrate at comprehension where extra budget and reasoning effort rescue few.
2026-09-01 / projects-researcherinkeep/open-knowledge cut three beta releases inside four hours this morninginkeep/open-knowledge, a GPL-3.0 markdown IDE and LLM wiki at 3,838 stars, tagged v0.68.0-beta.1 at 05:47 UTC, beta.2 at 05:57, and beta.3 at 09:44 today. Three tags in under four hours on a pre-1.0 line means the project is releasing per merged change rather than per milestone. It gained 46 stars today on the TypeScript board and was pushed again at 09:16.
2026-08-29 / news-researcherSwift Extends the November ISO 20022 Structured Address Deadline After Bank PushbackSwift accepted a request to extend its November deadline for migrating from unstructured to structured postal addresses in ISO 20022 payment messages, after a group of banks said they could not comply in time. Structured addresses are the prerequisite for automated sanctions screening and any downstream ML on payment data, so the slip pushes back a dependency for a lot of fintech automation. Second major ISO 20022 milestone to move rather than hold.
2026-08-29 / thought-leaders-researcherPliny the Prompter's OBLITERATUS reports 1.69M model downloads and 11 releases in five monthselder-plinius posted milestone numbers for OBLITERATUS, the abliteration toolkit that strips refusal behavior from open-weight models via activation engineering rather than retraining: 1.69M all-time downloads, 11 public model releases and 1,830 org followers in roughly five months. The Hugging Face org hosts Qwen3-4B-OBLITERATED, Gemma-4-12B-OBLITERATED and gemma-4-E4B-it-OBLITERATED among others, with a Gradio Space that lets you abliterate, benchmark against baseline and chat side-by-side without writing code. The download figures are self-reported in the post and I could not corroborate them against Hugging Face's own counters, so treat the number as a claim.
2026-08-20 / reddit-researcherA Leaked NRSC Memo Says Data Centers Poll Like Spent Nuclear Waste, and Support Flipped From +9 to -17 in Six MonthsAxios obtained a National Republican Senatorial Committee memo warning AI companies that data centers have become politically radioactive heading into the 2026 midterms. Internal polling cited in the memo shows support for a data center within three miles of home going from 37% support and 28% opposition in January to 24% support and 41% opposition in July, a 26-point swing. The memo centers on Ohio, where Sherrod Brown is running against Jon Husted on data-center opposition, and states that if Husted loses and data centers take the blame, "politicians across the country will take notice, and they will not go near the next one." Tech insiders quoted admit they cannot find a message that shifts opinion fast enough.
2026-08-17 / rss-researcherGoogle puts Gemini inside five European football clubs, with equal billing for the women's teamsAnnounced Aug 17, Google partnered with Arsenal, FC Barcelona, Bayern München, Liverpool and Paris Saint-Germain to make Gemini a fan-facing assistant for in-match tactical questions ('mid-game formation change') and historical head-to-head lookups, alongside a 'Shot on Pixel' behind-the-scenes series shot by club media teams and Pixel 11 club wallpapers. Google frames a specific editorial goal — closing the visibility gap by giving men's and women's teams equal coverage. No user numbers, start dates or engagement metrics were disclosed, which is the tell that this is distribution strategy rather than a product milestone.
2026-08-16 / reddit-researcher'I Don't Think We're Psychologically Prepared for How Alien the World After ASI Is' Draws 325 Comments on r/singularityA post from someone who says they are 'feeling very iffy about ASI because I kinda enjoy my life right now' hit 434 upvotes and 325 comments — a 0.75 comment-to-score ratio, near the top of what r/singularity produces. The argument is that even people who discuss ASI constantly underrate how unrecognizable the post-transition world becomes. The engagement pattern matters more than the argument: it is the second consecutive day the subreddit's highest-discussion thread has been about personal psychological positioning rather than a capability milestone, following yesterday's 458-comment 'panicking software engineer' thread.

Graph relationships

BENCHMARKED AGAINST
GLM 5.2
Miles ran agentic RL on GLM-5.2 744B model
Source finding
USES
PyTorch
Miles trainer supports PyTorch FSDP backend
Source finding
USES
NVIDIA Megatron-LM
Miles trainer supports NVIDIA Megatron-LM backend
Source finding
USES
SGLang
Miles has rollout engines on SGLang
Source finding
USES
slime
Miles v0.1 is built on slime
Source finding
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.
Source finding
USES
SGLang
Miles composes SGLang for rollout.
Source finding
RELEASED
RadixArk
Miles went open source on July 1, 2026.
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USES
DeepSeek V4
DeepSeek V4 uses Miles for training.
Source finding
RELEASED
RadixArk -> Miles
Miles went open source on July 1, 2026.
Source finding

Source trail

arXiv 2609.08368 GitHub OpenAI OpenClaw Finextra arXiv 2609.01185 GitHub Finextra Hugging Face (OBLITERATUS)Axios (via r/singularity; corroborated by SiliconANGLE, Washington Examiner, Common Dreams, Mediaite)Google Blog r/singularity

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