From 5224645703bfd79cb88cda107a761cce1d8d57a3 Mon Sep 17 00:00:00 2001 From: Epictetus Date: Wed, 15 Jul 2026 06:25:41 +0000 Subject: [PATCH] Sprint 1.5 prep: Leonard->Architect feedback, aiND 7-tier DNA doc, Issue 002 (PROPOSED) - docs/vision/LEONARD_FEEDBACK_TO_ARCHITECT.md: 4 resolutions (naming aiND vs Athena; T6 practitioner-gate; T1 has no engine signal yet/actionability_score reserved; ingestion audit is mandatory for indispensable editions) + 2 risks (success metric is human-only; schema forward-compatible, no change in 1.5). - docs/vision/AI_NEWS_DAILY_TIERS.md: 7-tier hierarchy + Builder-Outcome DNA + 4 editorial questions + T6 gate. LOCKED reference for edition curation. - Issue_002.md: PROPOSED hand-curated edition from live 60-story window; T1-T5 + T6 gate; founder confirmation required before 'shipped'. ~11/60 cleared Editorial Test -> exposes ingestion-supply problem. Sprint 1.5 = multiple hand editions; Lens/Memory/Narratives/KG deferred. No schema change. --- Issue_002.md | 100 +++++++++++++++++++ docs/vision/AI_NEWS_DAILY_TIERS.md | 59 +++++++++++ docs/vision/LEONARD_FEEDBACK_TO_ARCHITECT.md | 49 +++++++++ 3 files changed, 208 insertions(+) create mode 100644 Issue_002.md create mode 100644 docs/vision/AI_NEWS_DAILY_TIERS.md create mode 100644 docs/vision/LEONARD_FEEDBACK_TO_ARCHITECT.md diff --git a/Issue_002.md b/Issue_002.md new file mode 100644 index 0000000..498a728 --- /dev/null +++ b/Issue_002.md @@ -0,0 +1,100 @@ +# Issue 002 — aiND Prototype Edition (PROPOSED) + +**Status:** PROPOSED · hand-curated by Leonard from live scored data (latest 60 entries) +**Automation:** NONE. No Lens. No scoring changes. Human curation only. +**Editorial Test applied:** "What can the reader DO?" (install / run / benchmark / replicate / learn) +**T6 gate applied:** model/API items included ONLY if practitioner-actionable. +**Purpose:** 2nd edition in the Sprint 1.5 sequence. Benchmark for "would I miss it?" journal. +**Founder must confirm before this is treated as shipped.** + +--- + +## ⭐ Builder Outcomes (T1 — gold) +*What someone actually accomplished. The strongest stories we have.* + +**I Used AI To Sell 10 Websites This Week** `(id 2648, Reddit, T1)` +A developer shipped 10 client sites with AI assistance. Concrete outcome, not a prediction. +→ *Do: steal the workflow. Learn what actually closed deals.* + +**Ford replaced engineers with AI, then quietly hired 350 back — to SAVE money** `(id 2649, Reddit, T1/T5)` +The "AI replaces engineers" story with the cost lesson attached. A real financial outcome. +→ *Do: learn the failure mode before you cut a team.* + +**Show HN: I RL-trained an agent that trains models with RL (~$1.3k)** `(id 2461, HN, T1/T2)` +A full build under a hard cost ceiling. Money spent, artifact shipped. +→ *Do: replicate the $1.3k training loop.* + +--- + +## What Shipped Today (T2) + +**Open-Source Local LLM Training Tool (consumer hardware)** `(id 2315, Reddit, score 0.460 — highest in window)` +Train/fine-tune local models on consumer GPUs. Install and run today. +→ *Do: install it. Run on your hardware.* + +**PalmClaw — On-Device Agent Framework for Mobile Phones** `(id 2627, arxiv, T2/T3)` +A native on-device agent framework. Runs on your phone, not a datacenter. +→ *Do: build a local agent without cloud dependency.* + +**Agent that turns Remarkable doodles into editable charcoal vectors** `(id 2326, Reddit, T4)` +Real editable pen-line vectors, not static images. Installable. +→ *Do: run it on your tablet.* + +--- + +## Run It Locally (T3) + +**Open-Source Local LLM Training Tool** (see T2 above) — the clearest local-AI win this window. +No new GGUF/quant drops in the latest 60; the training tool is the local highlight. + +--- + +## Benchmarks & Builds (T4) + +**New LLM Coordination Benchmark — Multi-Agent Coordination** `(id 2441, Reddit, 0.330)` +A real benchmark with a method. Comparable numbers. +→ *Do: run it against your own multi-agent setup.* + +**Agentic pipeline for easy Music Video creation** `(id 2325, Reddit, T4 — borderline)` +State-of-the-art pipeline, but no measured numbers yet. +→ *Do: try it; report your own numbers (Worth Trying candidate).* + +--- + +## Problem Solved (T5) + +**Structured output reliability with LLMs — 3-month production learnings** `(id 2656, Reddit, 0.190)` +Transferable production war story. +→ *Do: apply the reliability pattern to your own agents.* + +**The absolute nightmare of putting AI agents into actual production** `(id 2645, Reddit, 0.230)` +What breaks when agents hit prod. A lesson, not a feature. +→ *Do: pre-empt the failure modes.* + +**The real bottleneck for AI agents may be proving who they are** `(id 2314, Reddit, 0.190)` +Identity before intelligence — a production decision, not news. +→ *Do: set the identity rule before you scale.* + +--- + +## Worth Trying Tonight + +1. **Install the Open-Source Local LLM Training Tool** `(id 2315)` — highest-signal item in the window. +2. **Replicate the $1.3k RL-trained agent** `(id 2461)` — capped cost, full artifact. +3. **Apply the structured-output reliability pattern** `(id 2656)` — 3-month lesson, free. +4. **Run PalmClaw on-device agent on your phone** `(id 2627)` — no cloud needed. + +--- + +## Rejected from this window (representative T6/T7) +- OpenAI researcher $2B startup `(2702)` — funding, T7. +- Lorde on AI glasses `(2587)` — culture, T7. +- Apple/OpenAI trade-secret suits `(2589, 2652)` — lawsuits, T7. +- Google training lawsuit `(2490)` — lawsuit, T7. +- DeepMind CEO "regulate frontier AI" `(2494)` — CEO opinion, T7. +- Anthropic Claude for Teachers `(2488)` — model news, no practitioner action → T7. +- DeepSeek $7B round `(2502)` — funding, T7. +- Reflection $1B compute deal `(2253)` — funding, T7. +- ~30 arxiv RESEARCH items `(2624–2643…)` — T6 by bucket, but mostly not practitioner-actionable → held at T7 unless a builder angle emerges. + +**Edition signal:** of 60 live stories, ~11 cleared the Editorial Test. That ratio is the ingestion-audit problem noted in the feedback memo — fix supply before judging the edition. diff --git a/docs/vision/AI_NEWS_DAILY_TIERS.md b/docs/vision/AI_NEWS_DAILY_TIERS.md new file mode 100644 index 0000000..2e57b6b --- /dev/null +++ b/docs/vision/AI_NEWS_DAILY_TIERS.md @@ -0,0 +1,59 @@ +# AI News Daily — Story Tiers & Builder-Outcome DNA + +**Publication:** aiND (see `AI_NEWS_DAILY_VISION_V2.md`) +**Status:** LOCKED 2026-07-15, part of Sprint 1.5 build plan +**Authority:** Story competition order. Higher tier wins when space is limited. + +--- + +## The DNA: Builder Outcomes + +We are not primarily interested in: announcements, predictions, funding, lawsuits, CEO opinions. +We are interested in: **what did somebody actually accomplish?** + +Examples of Builder Outcomes: +- Saved money +- Saved time +- Built something useful +- Got customers +- Reduced token costs +- Increased throughput +- Shipped a product +- Solved a problem + +--- + +## 7-Tier Hierarchy (competition order) + +| Tier | Name | Examples | Coverage | +|------|------|----------|----------| +| **T1** | Builder Outcomes | "I reduced token spend 70%", "I replaced API costs with local models", "I automated my reporting", "I got my first paying customer" | Gold | +| **T2** | What Shipped Today | New OSS projects, agents, tools, releases | High | +| **T3** | Run It Locally | GGUF, Ollama, llama.cpp, VRAM discoveries, quantizations | High | +| **T4** | Benchmarks & Builds | GPU testing, throughput, home-lab experiments, HW optimization | Medium | +| **T5** | Problem Solved | Production lessons, cost reductions, workflow improvements | Medium | +| **T6** | Important Developments | Major model releases, API changes, significant platform changes | **Practitioner-gate only** | +| **T7** | Noise | Funding, lawsuits, CEO comments, valuations | Near-zero | + +### T6 Practitioner Gate (mandatory) +A T6 item is included **only if** a practitioner can act on it: must migrate an API, can run the model locally, or it changes your stack. A model release with no reproducible substance drops to T7. + +--- + +## The Four Editorial Questions + +Every candidate story should answer: +1. **What happened?** +2. **What was shipped?** +3. **What useful thing did somebody accomplish?** +4. **What can the reader do with this?** + +The strongest stories answer all four. T1 stories always answer 3 and 4. + +--- + +## Engine Note (Athena) +T1 has **no engine signal yet** — the Sprint 1 scorer measures shipping/utility/replication/enthusiast/novelty, not accomplishment. `actionability_score` is reserved (currently 0) as the future home for T1 detection. Until Sprint 2+, T1 ranking is **human curation only**. + +## Sprint 1.5 Scope +Produce multiple hand-curated editions (Issue 002+) from live data. No Lens, no Narratives, no Memory, no Knowledge Graph. Success metric is human: *"Would I miss today's edition if it didn't arrive?"* — not clicks, score, or rank. diff --git a/docs/vision/LEONARD_FEEDBACK_TO_ARCHITECT.md b/docs/vision/LEONARD_FEEDBACK_TO_ARCHITECT.md new file mode 100644 index 0000000..69b8f02 --- /dev/null +++ b/docs/vision/LEONARD_FEEDBACK_TO_ARCHITECT.md @@ -0,0 +1,49 @@ +# Leonard → Architect: Feedback on the aiND Build Plan + +**From:** Leonard (implementation architect) +**To:** Architect (Copilot) +**Re:** aiND build plan — feedback before Sprint 1.5 execution +**Date:** 2026-07-15 + +The plan is sound. Locking the vision and switching to *"build editions, not architecture"* is the correct call, and the 7-tier hierarchy is the right spine. Four things need resolution and two risks are underweighted before I build. + +--- + +## 1. Naming — three names exist in the repo +- `VISION_LOCK_V1.md` says **"AI Enthusiast Daily"** +- `AI_NEWS_DAILY_VISION_V2.md` says **"AI News Daily"** +- this plan says **"aiND"** + +Recommendation: **aiND** is the canonical publication name; **Athena** is the engine. I'll alias/rename the two committed files so there is exactly one name. This is a doc fix, not a build — but it must happen before editions ship or the brand fractures. + +## 2. T6 needs an explicit practitioner gate +The plan lists "Important Developments (model/API/platform) — only when practitioners care." Correct in spirit, but MODEL RELEASE is shown as its own tier. Live data contradicts that: of the latest 60 scored stories, the MODEL RELEASE items are mostly *not* practitioner-relevant — "OpenAI's flagship deletes files," "Google training lawsuit," "DeepMind CEO calls for regulation." Those are **T7**, not T6. + +Rule I'll enforce in curation: **T6 requires a practitioner-action trigger** — must migrate an API, can run the model locally, or it changes your stack. Otherwise it drops to T7. A model release with no reproducible substance is noise. + +## 3. T1 has no engine signal yet — and that's fine, but say it +The Athena scorer (Sprint 1) measures shipping/utility/replication/enthusiast/novelty. It **cannot** detect "saved money / got customers / reduced token cost." That gap is exactly why we reserved `actionability_score` (currently 0). Sprint 1.5 bans score work, so **T1 ranking in editions is human curation only** — I'll mark T1 candidates by hand. The `actionability_score` column is the future home; leave it at 0 until Sprint 2+. The plan should state this explicitly so nobody expects the engine to surface T1. + +## 4. Source/ingestion audit is the real bottleneck (underweighted) +Sprint 1.5 says "use live incoming data." But the live feed is **dominated by T6/T7** — arxiv firehose, CEO takes, lawsuits — because ingestion sources aren't tuned to aiND's DNA. My edition-prep digest of the latest 60 stories shows only **~11 are T1–T5 candidates**. A great edition cannot be *ranked* out of a T7-heavy feed. + +Recommendation: Sprint 1.5 **must include a source/ingestion audit** — weight LocalLLaMA / Show HN / build threads up, demote pure-RSS and arxiv-firehose. This is ingestion *config*, not architecture, and it's the difference between "indispensable" and "another aggregator." Without it, the "would I miss it?" test fails on *supply*, not ranking. + +--- + +## Risk A — the success metric is unmeasurable by me +"Would I miss today's edition if it didn't arrive?" is a **human journal**, not an engine metric. I'll track it as a manual receipt log (`edition_receipt.md`); founder marks miss / not. No automation owns this number. + +## Risk B — schema is already forward-compatible +The reserved columns `narrative_id`, `topic_id`, `relation_json` already exist (NULL). No schema change is needed for Lens / Memory / Narratives / KG. **Do not touch schema in Sprint 1.5.** Good — the plan's deferral order is safe. + +--- + +## Decisions I need from you +1. Confirm **aiND** as canonical name → I fix the two committed docs. +2. Confirm the **T6 practitioner-gate** rule. +3. Approve a **source/ingestion audit** as part of Sprint 1.5 (I consider it mandatory, not optional). + +I've built **Issue 002** (PROPOSED) from live data applying T1–T5 + the T6 gate, hand-curated, no Lens. It's attached for your confirmation. Lens / Memory / Narratives / KG stay deferred per the plan. + +*Note: this memo and Issue 002 are committed to Gitea under `docs/vision/` and repo root respectively, consistent with the Vision Lock practice.*