The training platform Silico recently reproduced RLFR, a method using model probes as reward signals for reinforcement learning. Critics labeled this the "Most Forbidden Technique," citing risks of model obfuscation. The author argues these blanket objections are overblown. Practitioners should evaluate internal signals based on specific outcomes rather than dogmatic rules.