ErikEvenson

ErikEvenson/galaxy#1316 SP2 ship reviewer CONCUR-CLEAN — H_pipeline_gil.0g Rust-side py.allow_threads 4-stage Spec-First dispatch verified clean

ErikEvenson/galaxy#1316 SP2 ship reviewer CONCUR-CLEAN — H_pipeline_gil.0g Rust-side py.allow_threads 4-stage Spec-First dispatch verified clean

ErikEvenson/galaxy#1316 SP2 ship reviewer CONCUR-CLEAN — H_pipeline_gil.0g Rust-side py.allow_threads 4-stage Spec-First commit dispatch verified bit-identical at HEAD a8a0d0229 — Stage 1 c4737a54e (rendezvous.md §1316 entry + planner.py L1503-1508 σS3 docstring rewrite carry-forward DISCHARGED) + Stage 2 f6f955c82 (services/game-engine/physics_core/src/lib.rs two py.allow_threads(move || { ... }) closure wraps at L1055 [simulate_trajectory_encke] + L1588 [propagate_bodies_leapfrog]; ArrayView extraction hoisted BEFORE closure entry; closure body operates exclusively on Send+Ungil Rust data structures with ZERO PyO3 marshaling inside; ZERO Python::with_gil anywhere in the file confirmed; 70 ins/26

ImAbuSayed

Fireworks over Broken Hearts

Original song by Abu Sayed.

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We're lighting fireworks over broken hearts

papismurf

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

huajiexiewenfeng

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

shenchua

如果你最近在寻找一个值得关注的网站，不妨看看亚星。整体体验简洁顺畅，内容清晰，访问起来也很方便。无论是日常了解信息，还是发现更多实用内容，亚星都能带来不错的感受。想进一步了解的话，也可以直接访问 https://one-yaxing.com.cn/ ，这是一个让人愿意继续浏览的网站。

mdrakiburrahman

OPENIVM_VALIDATE failures: gold.fact_watches + gold.fact_holdings

Owner: next agent Goal: Reproduce the two SF=10 BATCH_1=100 BATCH_2=1 BATCH_3=1 ENGINES=spark-openivm OPENIVM_VALIDATE=1 failures inside spark-ext/ivm-it's TpcDiSpec so they reproduce on ./spark-ext/dev/dev.sh test 'testOnly org.openivm.spark.parity.TpcDiSpec' — no Docker, no bench, no ~30-minute round-trip — and fix them.

Reproduction state at handoff

• mdrakiburrahman/openivm-spark @ 06678f2 (latest pins)
• mdrakiburrahman/openivm @ 2b712a0a3
• mdrakiburrahman/lpts @ 2b2ff63 (openivm-spark-glibc-2.35; see LPTS-BACKPORT-PLAN.md for the consolidation plan)

M8789

{"status":"init"}

ImAbuSayed

Tennessee Told Me So

Original song by Abu Sayed.

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Lyrics Preview

I felt the fire the moment that we met

greatiptv732-hash

5 Best IPTV Services in USA 2026: Tested, Ranked & Compared

You know that sinking feeling when your cable bill arrives and it's somehow $187 again? Last year I decided enough was enough. I spent three months testing the most talked-about IPTV services in the USA, paying for each one with my own money, streaming everything from NFL Sundays to late-night movies across seven different devices.

What I found surprised me. Some services that dominate Google's first page barely worked during peak hours. Others I'd never heard of delivered flawless 4K streaming at a third of the price. This ranked list is the result of that testing — the 5 best IPTV services in USA 2026, with honest notes on who each one is actually for.

Here's the quick verdict before we dive deep:

Rank	Service	Best For	Price/Month	Free Trial

ImAbuSayed

Her Boots by My Bed

Original song by Abu Sayed.

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Lyrics Preview

I feel the heat when you walk through the room