Turing Post asks whether RLCD is new — or brilliant packaging

Source

On 19 September 2026, Turing Post published ∇ Guide: Is RLCD Bullshit or Not? (Ksenia Se) — a long read on TypeSafe’s Jev and the RLCD training label.

Useful takeaways for the catalog (editorial summary, not endorsement):

• Timing mattered: agent loops multiplied tiny decisions that still burned frontier LLM tokens.
• Naming is deliberate — TypeSafe, Jev (Jevons), System One (Kahneman).
• RLCD sits on a longer research line (classification, calibration, selective prediction); the piece argues TypeSafe’s win is packaging + product timing more than a brand-new primitive.
• Open alternatives named include SemIf, Bespoke Nimble, OpenJev, Decider — aligned with how we already separate catalog models from method/infra on docs/04 / the site’s adjacent notes.
• Confidence ≠ correctness probability. In TypeSafe’s adapter, Choice confidence is derived from distance from an even split (example cited: top p=0.8 over 3 options → confidence 0.7). Wire neither number into auto gates without your own eval.

Vendor speed/cost multiples and “new kind of AI” framing stay UnverifiedClaim relative to independent benches.

Primary source: turingpost.com/p/what-is-jev-rlcd.