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@samhogan (posted 2026-07-30) endorses Armin Ronacher (@mitsuhiko) and his…

2026-07-30 · 16:00 UTC ·@samhogan ·0 min read

Brief

@samhogan endorses Armin Ronacher's 2026-07-30 earendil.com essay arguing modern inference APIs implement vendor lock-in by embedding sessions with encrypted reasoning, hidden search results, opaque compaction, and encrypted subagent messages. The post warns these practices hide user data and strip control from customers, a trend the authors say damages users and the broader AI ecosystem.

Why it matters

@samhogan (posted 2026-07-30) endorses Armin Ronacher (@mitsuhiko) and his earendil.com post arguing that inference APIs are being designed for maximum vendor lock-in and minimum portability.

Key details

  • The post lists concrete techniques enabling lock-in: encrypted reasoning, hidden search results, opaque compaction, and encrypted subagent messages, and claims AI companies are "quietly hiding your data while stripping away your control," which it calls harmful to users and the ecosystem.
Source evidence

Great post on how the labs have designed their APIs for maximum vendor lock-in and minimum portability

Armin Ronacher ⇌ (@mitsuhiko)

A post of ours on vendor lock in and LLMs. We don't like the growing trend of AI companies quietly hiding your data while stripping away your control. We think that's bad for users and bad for the ecosystem. Here's are our thoughts: earendil.com/posts/session-p…

Link

The Session You Cannot Take With You | EARENDIL

Inference APIs are filling sessions with encrypted reasoning, hidden search results, opaque compaction, and encrypted subagent messages. A growing form of lock-in.
earendil.com

— https://nitter.net/mitsuhiko/status/2082838283520786748#m