Action Items — Alfonso

Send / Publish

Send arXiv endorsement outreach

Trigila is ineligible (unclaimed papers). Options: Hadley Black cold email, Reddit r/MachineLearning endorsement thread, or Manus.
Strategy doc: research-experiment/ARXIV_ENDORSEMENT.md
Consider cs.AI or cs.IR instead of cs.LG for easier endorsement.

Send LinkedIn post #2

Teaser drafts ready: 5 LinkedIn teasers in content/linkedin/. Pick one, voice-pass, publish.

Send Publish first Substack article

5 drafts ready at private.kusp.dev/drafts. "Can AI Agents Learn What to Remember?" is most polished. Needs your voice pass first.

Review / Edit

Review Voice-pass 5 blog drafts

Browse all 5 at private.kusp.dev/drafts. Structure is solid, voice needs your register. Rewrite first + last paragraph of each section in your words.
Source files in kb/content/substack/draft_*.md

Review Fix paper references

2 hallucinated author entries FIXED (gu2024survey + thomas2024llmjudge). 3 minor page number fixes applied. All 22 refs now verified.
Remaining: review PAPER_SIMPLIFICATION.md — cut v2 section? fewer refs? CIKM short vs full?

Decide Paper simplification

Discussion doc at research-experiment/PAPER_SIMPLIFICATION.md.
Key questions: Keep v2 section? Target CIKM short (4-6p) or full? Minimum viable ref list (~8-10 core)?

Review Skill audit results

Running via nohup on M2.7 (~425 skills, ~1hr). Check progress:
python3 -c "import json; d=json.load(open('kusp-agent/skill_audit_results.json')); print(len(d.get('ratings',{})))"
Log at /tmp/skill_audit.log

Study / Learn

Study Start Neetcode 150

150 intuition-first solutions ready. Browse at private.kusp.dev/neetcode.
JSON files at kb/general/projects/career/neetcode_solutions/. Start with Arrays & Hashing.

Study Read DDIA Chapter 1

Personalized companion notes at kb/general/projects/career/ddia_companion_notes.md.
Each chapter mapped to your Kusp agent architecture. Start with Ch 1 (Reliability/Scalability/Maintainability).

Study Watch Karpathy video 1 (Micrograd)

Companion notes at kb/general/projects/career/karpathy_companion_notes.md.
Notes flag what you already know vs what's new.

Study Continue AI Foundations Guide

27 chapters at private.kusp.dev/ai-foundations.
You were around habituation/sensitization in Chapter 1.

Assets Generated Today (reference)

Review Discovery map — 15 insights mapped to literature

Your independent discoveries mapped to formal counterparts. Great for LinkedIn content + career narrative.
kb/general/projects/ai-foundations/DISCOVERY_MAP.md

Review CIKM citation guide

10 papers analyzed: 6 definite cites, 2 maybe, 2 skip.
research-experiment/CIKM_CITATION_GUIDE.md

Review Alfonso voice dataset — 848 training pairs

0% AI contamination. Top topics: career transition, decision-making, solo building.
~/Personal Data Files/alfonso_training_pairs.json