{"collectionById":{"76d23fbd-a202-403b-8313-b3bc36d46679":{"id":"76d23fbd-a202-403b-8313-b3bc36d46679","name":"Research Post","fieldSchemas":[{"id":"1d8c181d-1ccd-446e-87b0-482ccb3ee240","name":"Title","type":"plain_text","role":"primary"},{"id":"571c37b5-f5fc-4742-a5de-b4da6f3415b3","name":"Slug","type":"slug","role":"slug"},{"id":"b849df26-d533-44dc-8e06-3cd46965a12f","name":"Publish date","type":"date"},{"id":"8d3b3780-1c4a-4036-8fdb-f65b1013c759","name":"Hero Image","type":"image"},{"id":"72793aa2-c60c-4f34-b560-b3f2b852cb63","name":"摘要","type":"plain_text"},{"id":"23af29f5-243e-4242-b068-66de843652ad","name":"Tag","type":"plain_text"}],"itemById":{"1ac8ae85-9538-48b0-bf23-537de16e760c":{"id":"1ac8ae85-9538-48b0-bf23-537de16e760c","index":"\"NNNNNNNO","collectionId":"76d23fbd-a202-403b-8313-b3bc36d46679","fields":[{"id":"89782c83-7462-4258-8c81-4a44746118be","value":"Data Is a Great Place to Start an AI Company, and a Dangerous Place to Stop","itemId":"1ac8ae85-9538-48b0-bf23-537de16e760c","fieldSchemaId":"1d8c181d-1ccd-446e-87b0-482ccb3ee240"},{"id":"13793c3f-5f21-4218-b63b-503d6709fec4","value":"data-is-a-great-place-to-start-an-ai-company-and-a-dangerous-place-to-stop","itemId":"1ac8ae85-9538-48b0-bf23-537de16e760c","fieldSchemaId":"571c37b5-f5fc-4742-a5de-b4da6f3415b3"},{"id":"e692ffaa-fb57-4ae6-908d-17da7d539b3a","value":"Inside the global suppliers capturing frontier labs’ billions, the shift from one-off datasets to trainable workflows, and the first in-depth look at China’s research-native data vendor ecosystem.","itemId":"1ac8ae85-9538-48b0-bf23-537de16e760c","fieldSchemaId":"72793aa2-c60c-4f34-b560-b3f2b852cb63"},{"id":"b14ea41e-157f-4146-ba6b-abfabfd84a1d","value":"Deep Dive","itemId":"1ac8ae85-9538-48b0-bf23-537de16e760c","fieldSchemaId":"23af29f5-243e-4242-b068-66de843652ad"},{"id":"d43de3f1-82a7-4b3e-8a46-ac63803a8230","value":"2026-08-20","itemId":"1ac8ae85-9538-48b0-bf23-537de16e760c","fieldSchemaId":"b849df26-d533-44dc-8e06-3cd46965a12f"},{"id":"ea402329-5e24-4cee-9802-38766d956c4d","value":"{\"image\":\"2e29f0bcbca6f46b651f42a552cc8cdf369d19c4\",\"imageThumbnail\":\"2e29f0bcbca6f46b651f42a552cc8cdf369d19c4\",\"originalImageHeight\":1060,\"originalImageWidth\":1484,\"altText\":\"Data Is a Great Place to Start an AI Company, and a Dangerous Place to Stop\",\"fileName\":\"bac70544-8d2a-45ce-a159-6ecec498b42a_1484x1060.png\"}","itemId":"1ac8ae85-9538-48b0-bf23-537de16e760c","fieldSchemaId":"8d3b3780-1c4a-4036-8fdb-f65b1013c759"}]},"35fee5fc-be53-402a-a10d-4144286ecc7b":{"id":"35fee5fc-be53-402a-a10d-4144286ecc7b","index":"\"NNNNNNNNO","collectionId":"76d23fbd-a202-403b-8313-b3bc36d46679","fields":[{"id":"1fc6d048-ed90-45e8-9689-e912427b3f96","value":"Our Investment in Agentrys: A Self-Improving Layer for Chip Design","itemId":"35fee5fc-be53-402a-a10d-4144286ecc7b","fieldSchemaId":"1d8c181d-1ccd-446e-87b0-482ccb3ee240"},{"id":"d15a1150-8587-4c9a-a0d5-40f17617e839","value":"our-investment-in-agentrys-a-self-improving-layer-for-chip-design","itemId":"35fee5fc-be53-402a-a10d-4144286ecc7b","fieldSchemaId":"571c37b5-f5fc-4742-a5de-b4da6f3415b3"},{"id":"4fb12f0f-0ada-4936-ad47-33da29946b6f","value":"We believe chip design is one of the first high-value domains where recursive self-improvement (RSI) can become practical.","itemId":"35fee5fc-be53-402a-a10d-4144286ecc7b","fieldSchemaId":"72793aa2-c60c-4f34-b560-b3f2b852cb63"},{"id":"610203ec-3397-4b63-b79e-80c69c700b92","value":"Etna Portfolio","itemId":"35fee5fc-be53-402a-a10d-4144286ecc7b","fieldSchemaId":"23af29f5-243e-4242-b068-66de843652ad"},{"id":"599474cf-073e-46d9-8435-528e356dba6a","value":"2026-08-26","itemId":"35fee5fc-be53-402a-a10d-4144286ecc7b","fieldSchemaId":"b849df26-d533-44dc-8e06-3cd46965a12f"},{"id":"29d4e6a9-5adc-4243-b6d7-f48e4d0ddca6","value":"{\"image\":\"c611b6f642571236691fc70be1037fbe1892015c\",\"imageThumbnail\":\"127a9f4917a9210b89c1608df244ceeb6ee4ef64\",\"originalImageHeight\":1060,\"originalImageWidth\":1484,\"altText\":\"\",\"fileName\":\"微信图片_20260828135906_941_35.png\"}","itemId":"35fee5fc-be53-402a-a10d-4144286ecc7b","fieldSchemaId":"8d3b3780-1c4a-4036-8fdb-f65b1013c759"}]}}}},"slugByItemId":{"7b886fb4-c171-49aa-877e-475cf8b97f18":"how-openai-could-turn-the-tables","598cfcc0-365f-40c6-9f63-6631c6f5a6ff":"will-chinese-ai-leap-ahead-or-follow","91e6e6f8-7396-4490-b421-e7e2ff664063":"rl-scaling-from-research-trick-to","d285731a-bce6-45c3-9dac-26edd7829535":"pulse-how-openai-starts-outrunning","b5bb1a96-7690-427f-ae92-b2b434675642":"claude-tag-is-underrated","1ac8ae85-9538-48b0-bf23-537de16e760c":"data-is-a-great-place-to-start-an-ai-company-and-a-dangerous-place-to-stop","35fee5fc-be53-402a-a10d-4144286ecc7b":"our-investment-in-agentrys-a-self-improving-layer-for-chip-design","d495e0e3-e929-4163-9d3e-0fec19ef9c2c":"beyond-deepseek-what-chinas-model","5ea3ff6e-b7d9-440c-aa76-6f6ce74c432a":"our-investment-in-convex-the-backend-where-agents-build","deb68f7b-2d3f-40b3-bbe5-ca239d245f27":"our-investment-in-generalist-a-brain-for-many-bodies","c23fe0ec-cf33-40e2-b090-b73d06099e9a":"generalist-and-the-270000-hour-advantage","80ff4031-030f-4caf-b7a9-1825fd8cb70f":"agi-2026-are-we-the-final-white-collar","940cd5e4-2e54-4b7a-941f-c0ea4e37df50":"beyond-the-cloud-are-llms-the-new","0c9ed8bc-cb92-4008-9f50-15867c8349d3":"our-thoughts-on-llm-part-one","fb158125-2004-4c70-972d-88d6846176ab":"decode-the-buzzword-why-harness-engineering-matters-now","cd412711-7095-43ca-8389-8011dab2f900":"inventing-anthropic-two-ingredients-behind-the-ai-winner","61387d11-a584-4b82-b223-7fd449542135":"the-ai-bubble-reckoning-1999-all","f650e52a-191a-4241-a8b4-12705cb62385":"ai-for-life-science-landscape","3db0c5d9-c44c-4950-a175-45c033132ebe":"ai-coding-landscape-how-agents-disrupt","c4aeef83-34d4-411e-b40c-b432dd225928":"continual-learning-next-paradigm","e632f659-8b25-4ec8-8c28-2032c89b4fab":"our-investment-in-phylo-building-the-intelligence-layer-for-biology","809bd036-e216-4bdb-ae70-dbd1d65b4804":"fable-5-expensive-intelligence-needs-expensive-work","a54b6460-7b13-40d1-b52f-59d326989a10":"openclaw-is-the-signal-our-thesis-on-long-horizon-agents"}}