{"data":{"slug":"synthetic-data","etype":"concept","name":"Synthetic Data & the Data Wall","cat":"Training & Inference","subtitle":"When the internet runs out, models train on model output.","summary":"Frontier labs have essentially consumed the high-quality public web — the 'data wall.' The response is synthetic data: stronger models generating curricula for the next generation (Phi's textbooks, reasoning traces for RL). Done carelessly it degrades models; done well it is now standard — and it shifts value from scraping toward licensed and generated corpora.","attrs":null,"kf":null,"aliases":["data wall"],"ticker":null,"exchange":null,"hq":null,"founded":null,"website":null,"status":null,"region":null,"asof":"2026-01-15","sources":[{"url":"https://azure.microsoft.com/en-us/blog/introducing-phi-4-microsofts-newest-small-language-model-specializing-in-complex-reasoning/","label":"Phi series reports"}]},"meta":{"found":true,"count":1,"served_from":"site cache (no live upstream calls)","as_of":"2026-10-14T05:23:14+00:00","disclaimer":"Research and information only — not investment advice. Structured records carry basis labels (vendor spec / reported / estimate); market quotes are delayed/indicative.","attribution":"Records compiled from vendor documentation, official filings and reputable public reporting; market quotes via financial data providers. See /data-sources."}}