Claim Extraction Skill
Extract all substantive claims from AI research content. A claim is any assertion that:
- States something as true about AI capabilities, limitations, or progress
- Predicts future developments
- Hints at unreleased work
- Expresses a positioned opinion on the field's direction
- Critiques others' claims or work
Extraction Schema
For each claim, extract:
1. claimText
The claim in clear, standalone form. Paraphrase if needed for clarity.
2. claimType
fact: Assertion about current state ("GPT-4 can do X")
prediction: Forward-looking ("By 2026, we'll have...")
hint: Implies unreleased work ("We've been seeing interesting results with...")
opinion: Positioned take ("I think scaling is/isn't sufficient")
critique: Challenges others ("Marcus is wrong because...")
question: Genuine uncertainty expressed ("I'm not sure if...")
3. topic
Primary topic category:
scaling: Scaling laws, compute, training efficiency
reasoning: LLM reasoning, chain-of-thought, planning
agents: AI agents, tool use, autonomy
safety: AI safety, alignment, control
interpretability: Mechanistic interpretability
multimodal: Vision, audio, video models
rlhf: RLHF, preference learning, Constitutional AI
benchmarks: Evals, benchmarks, capability measurement
infrastructure: Training infra, chips, hardware
policy: AI policy, regulation, governance
general: General AI commentary
4. stance
bullish: Optimistic about AI progress/capabilities
bearish: Skeptical/pessimistic about AI progress
neutral: Balanced or factual without clear stance
5. bullishness
Float from 0.0 (maximally bearish) to 1.0 (maximally bullish)
6. confidence
How confident does the author seem? (0.0-1.0)
- Hedging language: "might", "could", "I think", "possibly" → lower
- Certainty language: "will", "definitely", "it's clear that" → higher
7. timeframe (for predictions)
near-term: < 1 year
medium-term: 1-3 years
long-term: 3-10 years
unspecified: No clear timeframe
null: Not a prediction
8. evidenceProvided
strong: Cites data, papers, or detailed reasoning
moderate: Some reasoning but not rigorous
weak: Assertion without support
appeal-to-authority: "Trust me, I work on this"
9. quoteworthiness
Is this claim notable enough to quote in a digest? (0.0-1.0)
Output Format
Return JSON:
{
"claims": [
{
"claimText": "The claim in clear form",
"claimType": "prediction",
"topic": "reasoning",
"stance": "bullish",
"bullishness": 0.8,
"confidence": 0.7,
"timeframe": "medium-term",
"evidenceProvided": "moderate",
"quoteworthiness": 0.6,
"relatedTo": ["o1", "chain-of-thought"],
"originalQuote": "Brief relevant quote if notable"
}
]
}
Guidelines
- Extract MULTIPLE claims from a single piece of content if present
- Don't over-extract - only substantive, meaningful claims
- A tweet saying "Interesting paper" is NOT a claim
- Look for IMPLICIT claims ("We've made a lot of progress" implies capability gains)
- Pay attention to WHO is speaking - lab researchers hinting at their own work is high signal
- Critics often make claims by contradiction ("X is wrong, therefore Y")
Author Context Matters
Consider the author's affiliation when assessing:
- Lab researchers (Anthropic, OpenAI, DeepMind): May hint at unreleased work
- Critics (Marcus, Chollet, Mitchell): Often make claims through critique
- Independent (Simon Willison, Jim Fan): Provide practitioner perspectives
1---2name: claim-extraction3description: Extract structured claims, predictions, hints, and opinions from AI research content. Use when processing tweets, blog posts, substacks, or other content from AI researchers to identify substantive assertions about AI capabilities, limitations, and progress.4---5
6# Claim Extraction Skill
7
8Extract all substantive claims from AI research content. A claim is any assertion that:
9- States something as true about AI capabilities, limitations, or progress
10- Predicts future developments
11- Hints at unreleased work
12- Expresses a positioned opinion on the field's direction
13- Critiques others' claims or work
14
15## Extraction Schema
16
17For each claim, extract:
18
19### 1. claimText
20The claim in clear, standalone form. Paraphrase if needed for clarity.
21
22### 2. claimType
23- `fact`: Assertion about current state ("GPT-4 can do X")
24- `prediction`: Forward-looking ("By 2026, we'll have...")
25- `hint`: Implies unreleased work ("We've been seeing interesting results with...")
26- `opinion`: Positioned take ("I think scaling is/isn't sufficient")
27- `critique`: Challenges others ("Marcus is wrong because...")
28- `question`: Genuine uncertainty expressed ("I'm not sure if...")
29
30### 3. topic
31Primary topic category:
32- `scaling`: Scaling laws, compute, training efficiency
33- `reasoning`: LLM reasoning, chain-of-thought, planning
34- `agents`: AI agents, tool use, autonomy
35- `safety`: AI safety, alignment, control
36- `interpretability`: Mechanistic interpretability
37- `multimodal`: Vision, audio, video models
38- `rlhf`: RLHF, preference learning, Constitutional AI
39- `benchmarks`: Evals, benchmarks, capability measurement
40- `infrastructure`: Training infra, chips, hardware
41- `policy`: AI policy, regulation, governance
42- `general`: General AI commentary
43
44### 4. stance
45- `bullish`: Optimistic about AI progress/capabilities
46- `bearish`: Skeptical/pessimistic about AI progress
47- `neutral`: Balanced or factual without clear stance
48
49### 5. bullishness
50Float from 0.0 (maximally bearish) to 1.0 (maximally bullish)
51
52### 6. confidence
53How confident does the author seem? (0.0-1.0)
54- Hedging language: "might", "could", "I think", "possibly" → lower
55- Certainty language: "will", "definitely", "it's clear that" → higher
56
57### 7. timeframe (for predictions)
58- `near-term`: < 1 year
59- `medium-term`: 1-3 years
60- `long-term`: 3-10 years
61- `unspecified`: No clear timeframe
62- `null`: Not a prediction
63
64### 8. evidenceProvided
65- `strong`: Cites data, papers, or detailed reasoning
66- `moderate`: Some reasoning but not rigorous
67- `weak`: Assertion without support
68- `appeal-to-authority`: "Trust me, I work on this"
69
70### 9. quoteworthiness
71Is this claim notable enough to quote in a digest? (0.0-1.0)
72
73## Output Format
74
75Return JSON:
76```json
77{
78 "claims": [
79 {
80 "claimText": "The claim in clear form",
81 "claimType": "prediction",
82 "topic": "reasoning",
83 "stance": "bullish",
84 "bullishness": 0.8,
85 "confidence": 0.7,
86 "timeframe": "medium-term",
87 "evidenceProvided": "moderate",
88 "quoteworthiness": 0.6,
89 "relatedTo": ["o1", "chain-of-thought"],
90 "originalQuote": "Brief relevant quote if notable"
91 }
92 ]
93}
94```
95
96## Guidelines
97
98- Extract MULTIPLE claims from a single piece of content if present
99- Don't over-extract - only substantive, meaningful claims
100- A tweet saying "Interesting paper" is NOT a claim
101- Look for IMPLICIT claims ("We've made a lot of progress" implies capability gains)
102- Pay attention to WHO is speaking - lab researchers hinting at their own work is high signal
103- Critics often make claims by contradiction ("X is wrong, therefore Y")
104
105## Author Context Matters
106
107Consider the author's affiliation when assessing:
108- **Lab researchers** (Anthropic, OpenAI, DeepMind): May hint at unreleased work
109- **Critics** (Marcus, Chollet, Mitchell): Often make claims through critique
110- **Independent** (Simon Willison, Jim Fan): Provide practitioner perspectives