{ "kind": "all", "value": "all", "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations", "filters": { "documentKinds": [], "sourceTypes": [], "orientations": [] }, "total": 319975, "page": 1826, "pageSize": 30, "pageCount": 10666, "rows": [ { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 28, "slideType": "key_messages", "function": "summarize", "notes": "Includes a diagram illustrating the difference between chain of thought and opaque computation.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/28", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-28", "loopMatches": [ { "to": 30, "from": 13, "name": "Zoom In", "slug": "06-zoom-in", "bestFor": "Technical deep-dives, case studies, detailed analysis", "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7", "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.", "position": 2, "objective": "Drill from reasoning paradigm into specific reasoning research findings", "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication", "confidence": 75, "description": "Start broad, then progressively focus on specific details that prove your point" } ], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 29, "slideType": "industry_trends", "function": "present_framework", "notes": "The slide compares traditional Chain-of-Thought (CoT) with the proposed Chain of Continuous Thought (COCONUT) method.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/29", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-29", "loopMatches": [ { "to": 30, "from": 13, "name": "Zoom In", "slug": "06-zoom-in", "bestFor": "Technical deep-dives, case studies, detailed analysis", "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7", "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.", "position": 2, "objective": "Drill from reasoning paradigm into specific reasoning research findings", "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication", "confidence": 75, "description": "Start broad, then progressively focus on specific details that prove your point" } ], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 30, "slideType": "industry_trends", "function": "summarize", "notes": "The slide features two distinct charts illustrating performance gains from specific data/training methodologies.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/30", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-30", "loopMatches": [ { "to": 30, "from": 13, "name": "Zoom In", "slug": "06-zoom-in", "bestFor": "Technical deep-dives, case studies, detailed analysis", "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7", "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.", "position": 2, "objective": "Drill from reasoning paradigm into specific reasoning research findings", "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication", "confidence": 75, "description": "Start broad, then progressively focus on specific details that prove your point" } ], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 31, "slideType": "industry_trends", "function": "present_framework", "notes": "The slide uses a chronological/evolutionary progression of AI training methods.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/31", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-31", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 32, "slideType": "problem_statement", "function": "frame_problem", "notes": null, "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/32", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-32", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 33, "slideType": "industry_trends", "function": "analyze_data", "notes": "The slide discusses the debate on whether RLVR creates new reasoning or just reshuffles sampling, citing specific research from Tsinghua and MSR Asia.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/33", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-33", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 34, "slideType": "industry_trends", "function": "summarize", "notes": "The slide highlights the shift toward verifiable AI reasoning in mathematics.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/34", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-34", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 35, "slideType": "industry_trends", "function": "analyze_data", "notes": "The chart shows that LoRA ranks 1, 16, and 256 perform similarly to full fine-tuning in terms of peak accuracy, but with different stability profiles.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/35", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-35", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 36, "slideType": "industry_trends", "function": "present_solution", "notes": "The chart shows Bits per Byte performance across different model sizes and training methods (Base, Context, Fine-Tuning).", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/36", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-36", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 37, "slideType": "industry_trends", "function": "summarize", "notes": "The slide discusses a technical breakthrough in AI model merging (Subspace Boosting) to prevent redundancy.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/37", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-37", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 38, "slideType": "industry_trends", "function": "analyze_data", "notes": "The chart shows a Pareto frontier comparison between Muon and AdamW, illustrating better compute-time efficiency for Muon.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/38", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-38", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 39, "slideType": "industry_trends", "function": "present_solution", "notes": "The slide compares memory usage of standard cross-entropy vs. CCE across various LLM models.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/39", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-39", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 40, "slideType": "industry_trends", "function": "analyze_data", "notes": "The slide references a specific research finding regarding a ~3.6 bits per parameter capacity limit for LLMs.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/40", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-40", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 41, "slideType": "case_study", "function": "illustrate_case", "notes": "Includes a Venn diagram illustrating machine-unique knowledge.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/41", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-41", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 42, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide features 8 small bar charts comparing Kimi K2 against competitors like DeepSeek, OpenAI, and Anthropic models.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/42", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-42", "loopMatches": [ { "to": 47, "from": 42, "name": "David Goliath", "slug": "16-david-goliath", "bestFor": "Startups, disruptive innovation, competitive displacement", "matchId": "019dd95a-07fe-70ce-8d3e-98bdad14c2b0", "evidence": "'New Silk Road: China's open models overtake Meta-led West' (p.45); Qwen >40% derivatives vs Llama's 15% (p.46).", "position": 4, "objective": "Show China's open-weight ecosystem overtaking Meta-led West", "structure": "The Giant's Weakness -> Our Slingshot (Unique Edge) -> The Topple", "confidence": 80, "description": "Frame your initiative as the nimble underdog taking on a slow, bloated incumbent" } ], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 43, "slideType": "industry_trends", "function": "analyze_data", "notes": "The slide uses a step chart to show historical progress and a bar chart to show current rankings.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/43", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-43", "loopMatches": [ { "to": 47, "from": 42, "name": "David Goliath", "slug": "16-david-goliath", "bestFor": "Startups, disruptive innovation, competitive displacement", "matchId": "019dd95a-07fe-70ce-8d3e-98bdad14c2b0", "evidence": "'New Silk Road: China's open models overtake Meta-led West' (p.45); Qwen >40% derivatives vs Llama's 15% (p.46).", "position": 4, "objective": "Show China's open-weight ecosystem overtaking Meta-led West", "structure": "The Giant's Weakness -> Our Slingshot (Unique Edge) -> The Topple", "confidence": 80, "description": "Frame your initiative as the nimble underdog taking on a slow, bloated incumbent" } ], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 44, "slideType": "case_study", "function": "illustrate_case", "notes": "Includes a screenshot of a Reddit thread, a product announcement graphic, and a GitHub star history chart.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/44", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-44", "loopMatches": [ { "to": 47, "from": 42, "name": "David Goliath", "slug": "16-david-goliath", "bestFor": "Startups, disruptive innovation, competitive displacement", "matchId": "019dd95a-07fe-70ce-8d3e-98bdad14c2b0", "evidence": "'New Silk Road: China's open models overtake Meta-led West' (p.45); Qwen >40% derivatives vs Llama's 15% (p.46).", "position": 4, "objective": "Show China's open-weight ecosystem overtaking Meta-led West", "structure": "The Giant's Weakness -> Our Slingshot (Unique Edge) -> The Topple", "confidence": 80, "description": "Frame your initiative as the nimble underdog taking on a slow, bloated incumbent" } ], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 45, "slideType": "industry_trends", "function": "analyze_data", "notes": "The slide uses three distinct charts to illustrate the shift in AI model leadership from the US to China.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/45", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-45", "loopMatches": [ { "to": 47, "from": 42, "name": "David Goliath", "slug": "16-david-goliath", "bestFor": "Startups, disruptive innovation, competitive displacement", "matchId": "019dd95a-07fe-70ce-8d3e-98bdad14c2b0", "evidence": "'New Silk Road: China's open models overtake Meta-led West' (p.45); Qwen >40% derivatives vs Llama's 15% (p.46).", "position": 4, "objective": "Show China's open-weight ecosystem overtaking Meta-led West", "structure": "The Giant's Weakness -> Our Slingshot (Unique Edge) -> The Topple", "confidence": 80, "description": "Frame your initiative as the nimble underdog taking on a slow, bloated incumbent" } ], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 46, "slideType": "industry_trends", "function": "analyze_data", "notes": "The slide highlights 'The Flip' in model popularity, showing Qwen's rise in cumulative downloads and derivative model creation.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/46", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-46", "loopMatches": [ { "to": 47, "from": 42, "name": "David Goliath", "slug": "16-david-goliath", "bestFor": "Startups, disruptive innovation, competitive displacement", "matchId": "019dd95a-07fe-70ce-8d3e-98bdad14c2b0", "evidence": "'New Silk Road: China's open models overtake Meta-led West' (p.45); Qwen >40% derivatives vs Llama's 15% (p.46).", "position": 4, "objective": "Show China's open-weight ecosystem overtaking Meta-led West", "structure": "The Giant's Weakness -> Our Slingshot (Unique Edge) -> The Topple", "confidence": 80, "description": "Frame your initiative as the nimble underdog taking on a slow, bloated incumbent" } ], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 47, "slideType": "industry_trends", "function": "summarize", "notes": "The slide highlights two specific technical stacks: ByteDance's verl and OpenRLHF.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/47", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-47", "loopMatches": [ { "to": 47, "from": 42, "name": "David Goliath", "slug": "16-david-goliath", "bestFor": "Startups, disruptive innovation, competitive displacement", "matchId": "019dd95a-07fe-70ce-8d3e-98bdad14c2b0", "evidence": "'New Silk Road: China's open models overtake Meta-led West' (p.45); Qwen >40% derivatives vs Llama's 15% (p.46).", "position": 4, "objective": "Show China's open-weight ecosystem overtaking Meta-led West", "structure": "The Giant's Weakness -> Our Slingshot (Unique Edge) -> The Topple", "confidence": 80, "description": "Frame your initiative as the nimble underdog taking on a slow, bloated incumbent" } ], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 48, "slideType": "industry_trends", "function": "summarize", "notes": "The slide contains a placeholder box for a video or image. The content highlights the technical evolution from static clip generation to interactive, closed-loop world modeling.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/48", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-48", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 49, "slideType": "timeline", "function": "summarize", "notes": "The slide uses a timeline structure to show the progression of a specific technology over time.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/49", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-49", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 50, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide highlights the 'shortcut forcing' technique and compares Dreamer 4 against VPT, BC, and VLA models across various Minecraft tasks.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/50", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-50", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 51, "slideType": "industry_trends", "function": "summarize", "notes": "Includes a radar chart comparing model performance across various attributes.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/51", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-51", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 52, "slideType": "case_study", "function": "illustrate_case", "notes": "Includes a visual example of the model's output.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/52", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-52", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 53, "slideType": "industry_trends", "function": "present_solution", "notes": "The slide highlights three specific research approaches to open-ended learning in AI.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/53", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-53", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 54, "slideType": "industry_trends", "function": "summarize", "notes": "The slide highlights the current state of AI research agent evaluation, noting that while benchmarks exist, performance remains limited.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/54", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-54", "loopMatches": [], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 55, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide highlights the shift from AI as a passive tool to an active collaborator in scientific research.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/55", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-55", "loopMatches": [ { "to": 67, "from": 55, "name": "Zoom In", "slug": "06-zoom-in", "bestFor": "Technical deep-dives, case studies, detailed analysis", "matchId": "019dd95a-07fe-70ce-8d3e-9d32ca243ef1", "evidence": "Sequence of case studies: AlphaEvolve, UMA, MatterGen, AMIE, AlphaFold reproductions all illustrate AI-as-scientist.", "position": 5, "objective": "Survey AI's rise as scientific collaborator across biology/chemistry/medicine", "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication", "confidence": 75, "description": "Start broad, then progressively focus on specific details that prove your point" } ], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 56, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide highlights a specific AI research breakthrough and its practical application at Google.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/56", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-56", "loopMatches": [ { "to": 67, "from": 55, "name": "Zoom In", "slug": "06-zoom-in", "bestFor": "Technical deep-dives, case studies, detailed analysis", "matchId": "019dd95a-07fe-70ce-8d3e-9d32ca243ef1", "evidence": "Sequence of case studies: AlphaEvolve, UMA, MatterGen, AMIE, AlphaFold reproductions all illustrate AI-as-scientist.", "position": 5, "objective": "Survey AI's rise as scientific collaborator across biology/chemistry/medicine", "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication", "confidence": 75, "description": "Start broad, then progressively focus on specific details that prove your point" } ], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }, { "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1", "docSlug": "5df6bd1b0447b5f6", "documentTitle": "2025 Air Street Capital The State of AI Report 2025", "authorId": "AirStreetCapital", "authorName": "Air Street Capital", "documentKindSlug": "consulting-deck", "documentKindLabel": "Consulting deck", "sourceTypeSlug": "vc_research", "sourceTypeLabel": "VC research", "presentationDate": null, "orientation": "landscape", "aspectRatio": 1.777, "pageNumber": 57, "slideType": "case_study", "function": "illustrate_case", "notes": "The slide describes a specific AI model (ATOMICA) and its application in drug discovery/biology.", "imagePath": null, "matchCount": 1, "evidence": null, "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/57", "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1", "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-57", "loopMatches": [ { "to": 67, "from": 55, "name": "Zoom In", "slug": "06-zoom-in", "bestFor": "Technical deep-dives, case studies, detailed analysis", "matchId": "019dd95a-07fe-70ce-8d3e-9d32ca243ef1", "evidence": "Sequence of case studies: AlphaEvolve, UMA, MatterGen, AMIE, AlphaFold reproductions all illustrate AI-as-scientist.", "position": 5, "objective": "Survey AI's rise as scientific collaborator across biology/chemistry/medicine", "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication", "confidence": 75, "description": "Start broad, then progressively focus on specific details that prove your point" } ], "arcBeatMatches": [ { "to": 189, "from": 12, "beatId": "019dd95a-0682-776c-8e35-9f380673831f", "arcName": "The Triple Take", "arcSlug": "triple-take", "beatName": "The Facts (What)", "beatSlug": "triple-take-the-facts-what", "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.", "position": 1, "confidence": 70, "parentBeatName": "Setup", "parentBeatSlug": "setup" }, { "to": 89, "from": 12, "beatId": "019dd95a-0682-776c-8e35-ac68557d958b", "arcName": "The Onion", "arcSlug": "onion", "beatName": "First Layer", "beatSlug": "onion-first-layer", "evidence": "Research section unpacks technical layer beneath the headlines.", "position": 2, "confidence": 45, "parentBeatName": "Development", "parentBeatSlug": "development" } ], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true } ] }