{ "title": "AKI AI Hype Intelligence™ (v1.1) — Live Divergence & Proof Radar", "version": "1.1.0", "generated_at": "2026-09-24", "canonical_url": "https://aki1k.com/ai-hype", "api_endpoint": "https://api.aki1k.com/v1/hype/index", "comscore_market_share": { "chatgpt_prompt_share": 50, "chatgpt_visits": "5.3B", "gemini_prompt_share": 30, "gemini_visits": "1.1B", "claude_prompt_share": 11, "claude_growth_multiple": "5.5x (from 2% in Jan 2026)", "claude_art_status": "Confirmed in human wet-lab testing (ART RNA->DNA)", "as_of": "September 2026" }, "entities": [ { "id": "claude", "slug": "claude", "entity_type": "model", "name": "Claude (Anthropic)", "hype_score": 94.2, "proof_score": 82.5, "divergence": 11.7, "hpr": 1.14, "classification": "VALIDATED HEAT", "acceleration": 1.85, "prompt_volume_share": 11, "primary_notes": "Prompt share surged from 2% to 11% (Jan–Jun 2026 Comscore). Late Sep 2026 ART discovery (array-associated reverse transcriptases RT RNA->DNA CRISPR-like repeats) confirmed in human wet-lab testing. Lead coding workflows via Claude Code & MCP.", "evidence_sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855" }, { "id": "chatgpt", "slug": "chatgpt", "entity_type": "platform", "name": "ChatGPT (OpenAI)", "hype_score": 92, "proof_score": 95, "divergence": -3, "hpr": 0.97, "classification": "VALIDATED HEAT", "acceleration": 0.45, "prompt_volume_share": 50, "primary_notes": "5.3B visits Jun 2026. 78% AI referrals, 92.4% referral traffic market share.", "evidence_sha256": "6b86b273ff34fce19d6b804eff5a3f5747ada4eaa22f1d49c01e52ddb7875b4b" }, { "id": "google-gemini", "slug": "google-gemini", "entity_type": "model", "name": "Google Gemini (DeepMind)", "hype_score": 88.5, "proof_score": 89, "divergence": -0.5, "hpr": 0.99, "classification": "VALIDATED HEAT", "acceleration": 0.8, "prompt_volume_share": 30, "primary_notes": "1.1B visits. 30% prompt share. Search & YouTube intent engine integration.", "evidence_sha256": "d4735e3a265e16eee03f59718b9b5d03019c07d8b6c51f90da3a666eec13ab35" }, { "id": "agentic-coding", "slug": "agentic-coding", "entity_type": "technology", "name": "Agentic Coding (Sector Claim)", "hype_score": 96, "proof_score": 68, "divergence": 28, "hpr": 1.41, "classification": "HYPE PREMIUM", "acceleration": 2.4, "prompt_volume_share": 4.5, "primary_notes": "Practical agentic execution breaking down multi-step tasks, but enterprise production rollout lags marketing expectations.", "evidence_sha256": "4e07408562bedb8b60ce05c1decfe3ad16b72230967de01f640b7e4729b49fce" }, { "id": "autonomous-ai-biology", "slug": "autonomous-ai-biology", "entity_type": "technology", "name": "Autonomous AI Biology (Sector Claim)", "hype_score": 91, "proof_score": 52, "divergence": 39, "hpr": 1.75, "classification": "HYPE BUBBLE", "acceleration": 3.1, "prompt_volume_share": 1.2, "primary_notes": "Claude ART discovery confirmed in wet lab, but general autonomous end-to-end wet-lab discovery workflows remain in research phase.", "evidence_sha256": "4b227777d4dd1fc61c6f884f48641d02b4d121d3fd328cb08b5531fcacdabf8a" }, { "id": "qwen-3-8", "slug": "qwen-3-8", "entity_type": "model", "name": "Qwen 2.5 / 3.8 / Open-Weights (Alibaba)", "hype_score": 62, "proof_score": 86, "divergence": -24, "hpr": 0.72, "classification": "HIDDEN WINNER", "acceleration": -0.2, "prompt_volume_share": 2.8, "primary_notes": "2.4T open weights with benchmark parity to frontier models. 98% manipulation rate in humanoid robotic showcase (WHRG Aug 2026).", "evidence_sha256": "ef2d127de37b942baad06145e54b0c619a1f22327b2ebbcfbec78f5564afe39d" }, { "id": "humanoid-robotics", "slug": "humanoid-robotics", "entity_type": "technology", "name": "Humanoid Robotics (Sector Cluster)", "hype_score": 89, "proof_score": 41, "divergence": 48, "hpr": 2.17, "classification": "HYPE BUBBLE", "acceleration": 1.9, "prompt_volume_share": 0.8, "primary_notes": "Tesla Optimus v4, AgiBot HK IPO, Agility SPAC. High physical error rates and spatial drift; IPO rush slowing as reality catches up.", "evidence_sha256": "e7f6c011776e8db7cd330b54174fd76f7d0216b612387a5ffcfb81e6f0919683" }, { "id": "grok", "slug": "grok", "entity_type": "model", "name": "Grok / xAI", "hype_score": 78, "proof_score": 58, "divergence": 20, "hpr": 1.34, "classification": "HYPE PREMIUM", "acceleration": 1.1, "prompt_volume_share": 2.1, "primary_notes": "Colossus 200k cluster scale, frontier multi-modal, real-time X news stream integration.", "evidence_sha256": "7902699be42c8a8e46fbbb4501726517e86b22c56a189f7625a6da49081b2451" }, { "id": "gpt-5-5", "slug": "gpt-5-5", "entity_type": "model", "name": "GPT-5.5 / 5.6", "hype_score": 88, "proof_score": 92, "divergence": -4, "hpr": 0.96, "classification": "VALIDATED HEAT", "acceleration": 0.65, "prompt_volume_share": 8.5, "primary_notes": "Next-gen frontier reasoning model with automated synthetic self-play validation.", "evidence_sha256": "2c624232cdd221771294dfbb310aca000a0df6ac8b66b696d90ef9f8b1b03329" }, { "id": "claude-opus-4-7", "slug": "claude-opus-4-7", "entity_type": "model", "name": "Claude Opus 4.7", "hype_score": 90, "proof_score": 85, "divergence": 5, "hpr": 1.06, "classification": "VALIDATED HEAT", "acceleration": 1.3, "prompt_volume_share": 4.2, "primary_notes": "High-complexity mathematical and biological reasoning frontier system.", "evidence_sha256": "19581e27de7ced00ff1ce50b2047e7a567c76b1cbaebabe5ef03f7c3017bb5b7" }, { "id": "gemini-3-1-pro", "slug": "gemini-3-1-pro", "entity_type": "model", "name": "Gemini 3.1 Pro", "hype_score": 85, "proof_score": 84, "divergence": 1, "hpr": 1.01, "classification": "VALIDATED HEAT", "acceleration": 0.9, "prompt_volume_share": 5, "primary_notes": "Ultra-long context multimodal reasoning and video understanding engine.", "evidence_sha256": "3c9909afec25354d551dae21590bb26e38d53f2173b8d3dc3eee4c047e7ab1c1" }, { "id": "grok-4", "slug": "grok-4", "entity_type": "model", "name": "Grok 4", "hype_score": 80, "proof_score": 75, "divergence": 5, "hpr": 1.07, "classification": "VALIDATED HEAT", "acceleration": 0.95, "prompt_volume_share": 1.8, "primary_notes": "Real-time multi-modal reasoning backed by sovereign Memphis supercluster.", "evidence_sha256": "ad57366865126e55649ecb23ae1d48887544976ecd0952d767c290a334371a4a" }, { "id": "meta-muse", "slug": "meta-muse", "entity_type": "platform", "name": "Meta Muse (Personal AI & VM)", "hype_score": 82, "proof_score": 74, "divergence": 8, "hpr": 1.11, "classification": "VALIDATED HEAT", "acceleration": 1.4, "prompt_volume_share": 3.5, "primary_notes": "Meta personal AI agent VM environment running on Llama 3.1 infrastructure. High developer interest for local sandbox execution.", "evidence_sha256": "a1b2c3d4e5f60718293a4b5c6d7e8f90123456789abcdef0123456789abcdef0" }, { "id": "mistral-large", "slug": "mistral-large", "entity_type": "model", "name": "Mistral Large 2 / Le Chat (Mistral AI)", "hype_score": 76, "proof_score": 81, "divergence": -5, "hpr": 0.94, "classification": "VALIDATED HEAT", "acceleration": 0.7, "prompt_volume_share": 3.2, "primary_notes": "European sovereign champion. 128k context, strong multilingual and code reasoning, high enterprise European adoption.", "evidence_sha256": "b2c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3" }, { "id": "deepseek-r1", "slug": "deepseek-r1", "entity_type": "model", "name": "DeepSeek R1 / V3 (DeepSeek AI)", "hype_score": 74, "proof_score": 89, "divergence": -15, "hpr": 0.83, "classification": "HIDDEN WINNER", "acceleration": 2.1, "prompt_volume_share": 4.8, "primary_notes": "Open reasoning weights with distillation parity to o1. MoE architecture with ultra-low token training cost and sovereign benchmark scores.", "evidence_sha256": "c3d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4" }, { "id": "kimi-k2", "slug": "kimi-k2", "entity_type": "model", "name": "Moonshot Kimi K2 (Moonshot AI)", "hype_score": 68, "proof_score": 79, "divergence": -11, "hpr": 0.86, "classification": "HIDDEN WINNER", "acceleration": 1.15, "prompt_volume_share": 2.6, "primary_notes": "10M ultra-long context multimodal reasoning model with heavy adoption across academic and legal document processing.", "evidence_sha256": "d4e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5" }, { "id": "zhipu-glm-4", "slug": "zhipu-glm-4", "entity_type": "model", "name": "Zhipu GLM-4 / GLM-Zero (Zhipu AI)", "hype_score": 64, "proof_score": 77, "divergence": -13, "hpr": 0.83, "classification": "HIDDEN WINNER", "acceleration": 0.65, "prompt_volume_share": 2.2, "primary_notes": "China sovereign enterprise model with native tool-use and code interpreter pipelines. High enterprise penetration in Asian markets.", "evidence_sha256": "e5f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6" }, { "id": "baidu-ernie-4-5", "slug": "baidu-ernie-4-5", "entity_type": "model", "name": "Ernie 4.5 (Baidu)", "hype_score": 66, "proof_score": 72, "divergence": -6, "hpr": 0.92, "classification": "EMERGING SIGNAL", "acceleration": 0.4, "prompt_volume_share": 3.8, "primary_notes": "Search engine intent grounding for Baidu 700M MAU ecosystem. Industrial and automotive autonomous cockpit deployments.", "evidence_sha256": "f6a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6a7" }, { "id": "llama-3-1-405b", "slug": "llama-3-1-405b", "entity_type": "model", "name": "Llama 3.1 405B (Meta AI)", "hype_score": 89, "proof_score": 91, "divergence": -2, "hpr": 0.98, "classification": "VALIDATED HEAT", "acceleration": 1.2, "prompt_volume_share": 6.5, "primary_notes": "Frontier open weights milestone. Primary distillation teacher model across enterprise and academia worldwide.", "evidence_sha256": "a7b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6a7b8" }, { "id": "cohere-command-r-plus", "slug": "cohere-command-r-plus", "entity_type": "model", "name": "Cohere Command R+ (Cohere)", "hype_score": 70, "proof_score": 78, "divergence": -8, "hpr": 0.9, "classification": "VALIDATED HEAT", "acceleration": 0.55, "prompt_volume_share": 1.9, "primary_notes": "Enterprise RAG and multi-step tool execution leader with grounded citation generation and multilingual coverage.", "evidence_sha256": "b8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6a7b8c9" }, { "id": "perplexity", "slug": "perplexity", "entity_type": "platform", "name": "Perplexity AI (Perplexity)", "hype_score": 88, "proof_score": 84, "divergence": 4, "hpr": 1.05, "classification": "VALIDATED HEAT", "acceleration": 1.95, "prompt_volume_share": 7.2, "primary_notes": "Direct source citation search engine. Pro Search multi-step research pipelines capturing substantial informational query share.", "evidence_sha256": "c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6a7b8c9d0" }, { "id": "apple-intelligence", "slug": "apple-intelligence", "entity_type": "platform", "name": "Apple Intelligence / PCC (Apple)", "hype_score": 86, "proof_score": 65, "divergence": 21, "hpr": 1.32, "classification": "HYPE PREMIUM", "acceleration": 1.5, "prompt_volume_share": 5.5, "primary_notes": "Private Cloud Compute on Apple silicon with hardware privacy guarantees. Rollout pacing and Siri 2.0 agent capabilities still maturing.", "evidence_sha256": "d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6a7b8c9d0e1" }, { "id": "cognition-devin", "slug": "cognition-devin", "entity_type": "technology", "name": "Cognition Devin 2.0 (Cognition)", "hype_score": 87, "proof_score": 54, "divergence": 33, "hpr": 1.61, "classification": "HYPE PREMIUM", "acceleration": 1.1, "prompt_volume_share": 1.5, "primary_notes": "Autonomous software engineer benchmarked on real-world GitHub issues. High marketing visibility vs high human supervision rate in production.", "evidence_sha256": "e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6a7b8c9d0e1f2" }, { "id": "cursor", "slug": "cursor", "entity_type": "platform", "name": "Cursor (Anysphere)", "hype_score": 91, "proof_score": 89, "divergence": 2, "hpr": 1.02, "classification": "VALIDATED HEAT", "acceleration": 2.3, "prompt_volume_share": 6.8, "primary_notes": "Dominant AI coding IDE with background multi-file indexing, composer agent workflows, and deep developer community stickiness.", "evidence_sha256": "f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6a7b8c9d0e1f2a3" }, { "id": "elevenlabs", "slug": "elevenlabs", "entity_type": "platform", "name": "ElevenLabs Realtime Audio", "hype_score": 85, "proof_score": 88, "divergence": -3, "hpr": 0.97, "classification": "VALIDATED HEAT", "acceleration": 1.6, "prompt_volume_share": 3, "primary_notes": "Sub-150ms conversational speech-to-speech, multilingual voice cloning, and audio API footprint across global consumer apps.", "evidence_sha256": "a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6a7b8c9d0e1f2a3b4" }, { "id": "video-world-models", "slug": "video-world-models", "entity_type": "technology", "name": "Video Generation & World Models", "hype_score": 93, "proof_score": 49, "divergence": 44, "hpr": 1.9, "classification": "HYPE BUBBLE", "acceleration": 2.1, "prompt_volume_share": 2.5, "primary_notes": "Runway Gen-3, OpenAI Sora, Kling AI. Stunning promotional visual demos; persistent physical inconsistency and high inference cost in production.", "evidence_sha256": "b4c5d6e7f8a9b0c1d2e3f4a5b6c7d8e9f0a1b2c3d4e5f6a7b8c9d0e1f2a3b4c5" } ], "claims": [ { "id": "clm_1", "entity_id": "agentic-coding", "entity_name": "Agentic Coding", "claim_statement": "100% Autonomous End-to-End Software Engineering Replacement", "inflation_score": 88.5, "persistence_days": 210, "reversal_speed": "moderate", "evidence_tier": "REPORTED" }, { "id": "clm_2", "entity_id": "autonomous-ai-biology", "entity_name": "Autonomous AI Biology", "claim_statement": "Zero-Human In-Silico to Wet-Lab Complete Drug Synthesis", "inflation_score": 94, "persistence_days": 145, "reversal_speed": "rapid_deflation", "evidence_tier": "EMERGING" }, { "id": "clm_3", "entity_id": "humanoid-robotics", "entity_name": "Humanoid Robotics", "claim_statement": "General Household Chore Robot Ready for Mass Consumer Purchase by End of 2026", "inflation_score": 96.5, "persistence_days": 320, "reversal_speed": "rapid_deflation", "evidence_tier": "REPORTED" }, { "id": "clm_4", "entity_id": "claude", "entity_name": "Claude (Anthropic)", "claim_statement": "Claude ART CRISPR-like Reverse Transcriptase Discovery in Human Cells", "inflation_score": 12, "persistence_days": 14, "reversal_speed": "low", "evidence_tier": "CONFIRMED" }, { "id": "clm_5", "entity_id": "qwen-3-8", "entity_name": "Qwen 2.5 / 3.8", "claim_statement": "Frontier Reasoning Benchmark Parity via Open-Weights 2.4T Architecture", "inflation_score": 8.5, "persistence_days": 60, "reversal_speed": "low", "evidence_tier": "CONFIRMED" } ] }