Epictetus
3a42f53333
- docs/vision/VISION_LOCK_V1.md: permanent editorial mission, audience (builders/tinkerers/
local-AI users/home-lab/agent devs), Editorial Test ('what would an enthusiast DO?'),
architectual constraint (editorial vision is primary system), priority order.
- docs/vision/ADR-0007_EDITORIAL_PIVOT.md: accepted pivot record, before/after table,
Sprint 1 evidence (high-signal = actionable, low-signal = spectator content).
- docs/vision/EDITORIAL_GUIDELINES.md: operating rules; score is draft, taste overrides;
hand-before-machine; memory must store 'what can be done' not 'what happened'.
- docs/vision/SECTION_DEFINITIONS.md: 5 sections (What Shipped / Run It Locally /
Benchmarks & Builds / Problem Solved / Worth Trying Tonight).
- docs/vision/SPRINT_1_FINDINGS.md: reference evidence, 45/200 UNCATEGORIZED taxonomy gap.
- Issue_001.md: handcrafted prototype edition from Sprint 1 stories; benchmark for all future automation.
This is the architectural directive. No scoring/narrative/memory work proceeds except in
service of the Vision Lock. Sprint 2 (Lens) stays blocked pending manual review tallies.
4.4 KiB
Issue 001 — Prototype Edition: "If We Launched Tomorrow Morning"
Type: Handcrafted prototype edition Automation: NONE. No new architecture. No additional scoring. Curated by hand from Sprint 1 stories (athena_review_report.txt) against the Editorial Test (VISION_LOCK_V1.md). Purpose: The benchmark against which all future automation is measured. If a future pipeline can't reproduce the judgment shown here, it isn't ready.
What Shipped Today
Juggler — open-source GUI coding agent (id 2225, HN)
A visual, open-source coding agent from the creator of JUCE. Install and drive it.
→ Do: install it. GitHub: github.com/juggler-ai/juggler
Open-Source Local LLM Training Tool (consumer hardware) (id 2315, Reddit)
A tool for training/fine-tuning local models on consumer GPUs.
→ Do: run it on your hardware.
Zer0Fit — MCP server for zero-shot ML, 100% local (id 2427, Reddit)
Wraps Google's TabFM/TimesFM as an MCP server for forecasts/classifications/regressions. Fully local.
→ Do: wire it into your agent as an MCP tool.
Hundreds of arXiv papers hit daily — an open-source triage tool (id 2430, Reddit)
Built because only ~3 of hundreds matter to one researcher's work.
→ Do: use it to cut your own paper noise.
Run It Locally
Quad 5060Tis benchmarked for code-gen with Qwen3.6-27B (id 1558, Reddit, final 0.50)
Real numbers, consumer hardware, reproducible method.
→ Do: replicate the bench on your GPU.
Voodoo Quant beats Unsloth Dynamic 2.0 KLD by 95% (Qwen3.5 0.8B/2B) (id 1977, Reddit, 0.45)
Quantization-quality showdown with measured delta.
→ Do: try Voodoo on your next quant.
Nemotron Puzzle 75B on a 64GB M2 Max (id 1573, Reddit)
Runs smoothly — a concrete ceiling number for Apple-silicon home labs.
→ Do: compare against your own max-model-on-Mac result.
Your $80 Tesla P100 has been doing silently noisy math in llama.cpp for years (id 1975, Infra, 0.32)
Three-line fix, free. The most "worth trying tonight" infrastructure post in the set.
→ Do: apply the 3-line fix tonight.
Benchmarks & Builds
GPUHedge: serverless GPU hedging drops cold-start p95 from 117s → 30s (id 2438, Problem Solved, 0.41)
Measured latency win with a concrete method.
→ Do: steal the hedging pattern for your own GPU jobs.
Migrating a production AI agent to GPT-5.6: 2.2x faster, 27% cheaper (id 2089, HN, 0.41)
Real cost/latency numbers from a production cutover.
→ Do: benchmark your own agent migration against these.
5090 (475/600W) vs 6000 Pro MaxQ / WS (600W) concurrency (id 1559, Infra, 0.34)
Full compute comparison with methodology.
→ Do: map your workload onto their numbers.
Dual-GPU PCIe transfer under llama.cpp (tensor + pipeline) (id 1565, Reddit, 0.34)
Measured interconnect behavior for multi-GPU home builds.
→ Do: check your own PCIe scaling.
Problem Solved
The real bottleneck for AI agents may be proving who they are (id 2314, Infra, 0.19)
Identity before intelligence — a production lesson, not a feature drop.
→ Do: learn the pattern before you scale agents.
AI agent crawlers now need permission (id 2134, RSS, 0.25)
Cloudflare-style rules for agent access. A workflow decision, not news.
→ Do: set the same rule for your own agents.
GPUHedge / Migrating (see Benchmarks) — both are problem-solved-with-numbers, the canonical section fit.
Worth Trying Tonight
- Apply the Tesla P100 llama.cpp 3-line fix
(id 1975)— free, immediate, local. - Install Juggler and drive one real coding task
(id 2225)— open-source, now. - Replicate the quad-5060Ti Qwen3.6 bench on your GPU
(id 1558)— 20 minutes, real numbers. - Try Voodoo Quant on your next local model
(id 1977)— measured 95% KLD win. - Wire Zer0Fit as an MCP tool in your agent
(id 2427)— 100% local forecasting.
What This Edition Proves
Every story above passes the Editorial Test: a reader can install, run, benchmark, replicate, or learn something. Nothing here is a lawsuit, a funding round, a CEO take, or a valuation. That's the entire publication in one morning — and the bar every automated edition must clear.
Rejected from this prototype (representative): PixVerse $439M raise, Apple/OpenAI trade-secret suit, Altman job-creation take, Spotify AI assistant, Lorde-on-AI-glasses. Reader would do NOTHING with those.