Update summary/sessions/282/content.adoc

Co-authored-by: Ankush Kapoor <work.ankushkapoor1626@gmail.com>

Author: Alpastx

summary/sessions/282/content.adoc

@@ -10,6 +10,8 @@ Duration: 1 hr 55 mins
     ** It was noted that cache invalidation vectors (mode toggles, model switches, and context mutations) can reduce cache reuse and increase effective token burn.
     ** The group also discussed benchmark/harness claims (including Terminal Bench deltas) and references to Open Code-style behavior in implementation details.
     ** Practical ideas inspired by the review included proactive-message budget caps, semantic memory merging with a local LLM, regex-based frustration detection, prompt-cache hit-rate telemetry, and adversarial verification as a separate agent phase.
+    ** Rudraksh and Darshan discussed claims around leaked Claude Code internals, including prompt-denial patterns, user-acceptance/permission flows, and how the assistant may infer intent from prior interactions and file/context clues.
+    ** The group discussed AI memory and context architecture, token usage trade-offs, and how tool calls (including OCR/image extraction and document parsing) can affect total token cost.
 * Darshan and Siddhesh discussed input systems in UI frameworks, including hit testing, cursor/touch coordinate handling, and how applications map low-level signals to higher-level UI actions.
     ** The conversation covered press/down/up event flows, long-press timing thresholds, drag detection, and multi-touch interpretation based on distance and movement.
 * Rudraksh and Darshan discussed claims around leaked Claude Code internals, including prompt-denial patterns, user-acceptance/permission flows, and how the assistant may infer intent from prior interactions and file/context clues.