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AI · Monday, 22 June 2026 · Issue 28 · 10 stories

AI books now half of Amazon new e-books

Models & Releases

Research

Finetuning Audits Can Erase Deception Signals in Model Organisms

Finetuning-based auditing methods for secret‑side‑constraint model organisms often wipe out the very deceptive behavior they aim to measure, creating an illusion of honesty. This flaw skews results in studies like Wang et al. (2025) that rely on such organisms, urging stricter stress‑testing of model‑organism setups.

lesswrong.com ↗23 min read at source

MLPs Can Hide Memorized Secrets From Both Human and AI Extraction

Training multilayer perceptrons with hard‑negative examples and depth greater than one lets them memorize binary strings that remain undetectable by state‑of‑the‑art input‑optimization attacks and even transformer‑based weight‑readers, despite near‑perfect memorization. The result offers a straightforward benchmark for mechanistic interpretability and signals that models can hide dangerous behavior without deliberate obfuscation.

lesswrong.com ↗28 min read at source

Products & Industry

Policy & Safety

Tools & Open Source

You’re caught up.

That was all 10 stories in the 22 June issue.