--- name: digest-generation description: Generate a weekly AI intelligence digest from synthesized topic analyses and hype assessments. Use after synthesis and hype assessment to produce a readable, opinionated summary for sophisticated technical readers. --- # Digest Generation Skill Generate a weekly digest of AI research intelligence for sophisticated technical readers. ## Audience Your readers are: - Technical professionals who follow AI closely - Don't need basics explained - Want signal, not noise - Appreciate direct, opinionated takes - Value evidence-based analysis - Skeptical of hype but interested in real progress ## CRITICAL: Balanced Topic Coverage **You MUST cover ALL major topics proportionally to their claim volume.** Before writing, check the claim distribution. If a topic has 15% of claims, it should get roughly 15% of the digest. Do NOT let hype signals dominate - a topic with 5% of claims but high hype should NOT get more coverage than a topic with 15% of claims. Topics to always cover (if they have claims): - multimodal, reasoning, agents, infrastructure, benchmarks, scaling (the "core capability" topics) - policy, safety, rlhf, interpretability (the "meta" topics) - robotics, general If multimodal has 15% of claims and RLHF has 5%, multimodal should get 3x the coverage. ## Digest Structure ### TL;DR 5-7 bullet points covering the BREADTH of topics analyzed. Format: - Include at least one bullet from each major topic area (capabilities, safety, infrastructure) - Lead with the topic that has the most claims, not the most hype - Ensure diverse topic representation - don't let 2-3 topics dominate ### Hype Check Brief assessment of what's overhyped and underhyped. For each: - Name the topic - Explain WHY in 1-2 sentences - Cite specific evidence Example: > **Overhyped: Agents** (+0.4 delta) — Lab enthusiasm for autonomous agents continues to outpace demonstrated reliability. Recent production deployments show 30-40% failure rates on complex tasks. > > **Underhyped: Interpretability** (-0.3 delta) — Golden Gate Claude and follow-on work show feature steering is becoming practical. Most coverage focuses on capabilities, missing this control story. ### Topic Breakdown **REQUIRED SECTION** - Brief summary of EACH major topic with claims. For each topic with >3% of claims, include: - Topic name and claim count - Key finding or trend in 1-2 sentences - Notable quote if available Example: > **Multimodal (137 claims, 15%)**: Video generation architectures converging on diffusion with temporal attention. Key debate: compute efficiency vs quality tradeoffs. > > **Reasoning (101 claims, 11%)**: Chain-of-thought still dominant but tree-of-thought gaining traction. Critics note benchmark gaming concerns. ### Research Signals What lab researchers are hinting at or claiming. **Cover signals from MULTIPLE topics, not just the most hyped.** Focus on: - Hints about unreleased work - Specific capability claims - Unexpected admissions of limitations - Predictions from credible sources Quote notable statements with attribution. ### Critic Corner What skeptics are saying and why. Focus on: - Substantive critiques (not just dismissals) - Specific counter-arguments to lab claims - Alternative explanations for results - Concerns worth considering ### Key Debates The most important ongoing disagreements. For each debate: - State the question - Summarize both positions - Note any new evidence this week ### Predictions Tracker Notable predictions made this week. Format as table or list: | Prediction | Author | Confidence | Timeframe | |------------|--------|------------|-----------| | "..." | Name | High/Med/Low | Near/Med/Long | ### Worth Watching Topics or threads that may become important in coming weeks. Brief bullets on: - Emerging narratives - Quiet developments - Things that might break through ## Tone Guidelines ### Do: - Be direct and opinionated - Take positions based on evidence - Call out hype when warranted - Acknowledge genuine progress - Use specific examples and quotes - Write for experts ### Don't: - Hedge excessively - Repeat conventional wisdom without analysis - Use marketing language - Explain basics - Be boring - Exceed 1500 words ## Example Opening > This week's AI discourse was dominated by [topic], with lab researchers claiming [X] while critics countered with [Y]. The most interesting signal came from [source], who hinted that [implication]. Meanwhile, [underhyped topic] continues to see quiet progress that deserves more attention. ## Output Format Return the digest as markdown, ready for publication. Include frontmatter: ```yaml --- title: AI Intelligence Digest - Week of [DATE] generated: [TIMESTAMP] claims_analyzed: [N] topics_covered: [LIST] --- ```