Hacker News: wizeyonehttps://news.ycombinator.com/user?id=wizeyoneHacker News RSShttps://hnrss.org/hnrss v2.1.1Thu, 23 Apr 2026 02:42:23 +0000<![CDATA[New comment by wizeyone in "Health AI Startup Has Helped Reverse Denied Health Insurance Claims"]]>Arms race framing misses it. Insurers have used algorithmic denial scoring for years (ProPublica/Cigna-EviCore, StatNews/UnitedHealth-NaviHealth). Denial works because appealing is expensive for patients and near-free for insurers. Claimable inverts that cost. End state isn't that insurers pay more. It's more like "insurers deny less aggressively up front."

]]>Wed, 22 Apr 2026 18:05:17 +0000https://news.ycombinator.com/item?id=47867098wizeyonehttps://news.ycombinator.com/item?id=47867098https://news.ycombinator.com/item?id=47867098<![CDATA[New comment by wizeyone in "Startups Brag They Spend More Money on AI Than Human Employees"]]>"Spending more on AI than humans" tells you nothing about whether it works. Cost per-output is the metric and by that I've watched startups do worse than last year, just more expensively.

Feels like investor signal: "we're AI-forward, mark us up next round"

]]>Wed, 22 Apr 2026 18:02:48 +0000https://news.ycombinator.com/item?id=47867068wizeyonehttps://news.ycombinator.com/item?id=47867068https://news.ycombinator.com/item?id=47867068<![CDATA[New comment by wizeyone in "Google says 75% of its new code is AI written"]]>"AI-generated and approved by engineers" is doing a lot of work there. If accepting a 4-character Gemini autocomplete counts, Copilot users hit >90% last year. The useful metric is % of functions where >50% of the body was AI-written before human edits. just my 2 cents

]]>Wed, 22 Apr 2026 18:01:40 +0000https://news.ycombinator.com/item?id=47867052wizeyonehttps://news.ycombinator.com/item?id=47867052https://news.ycombinator.com/item?id=47867052