Paper

Context: Proactive Goal-Directed Intelligence via Composable Sandboxed Programs, Declarative Wiring, and Structured Interaction

Unreadunread

AI summary

arXiv:2605. 23928v1 Announce Type: new Abstract: We present Context, the intelligence layer of the Magarshak Architecture, which replaces reactive query-response chatbots with proactive goal-directed agents that advance shared tasks without waiting for user prompts.

Reading status

Priority

About this paper

Authors: Gregory Magarshak
Released: 2026-05-26 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because Context: Proactive Goal-Directed Intelligence via Composable Sandboxed Programs, Declarative Wiring, and Structured Interaction overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: text, rect, correct, source, rate, implement, without, emit. Source: arxiv cs.AI (Artificial Intelligence).
arXiv: 2605.23928

Ask Claude about this paper

Posts a comment with @claude so the runner spins up a Claude Code session scoped to Context: Proactive Goal-Directed Intelligence via Composable Sandboxed Programs, Declarative Wiring, and Structured Interaction. Replies appear in the conversation below.

Comments

No comments yet.

Related records

No links yet.