What Should an Agent Carry Forward? copertina

What Should an Agent Carry Forward?

What Should an Agent Carry Forward?

Ascolta gratuitamente

Vedi i dettagli del titolo

Offerte di stagione | 0,99 €/mese per i primi 3 mesi

A seguire 9,99 €/mese – si applicano condizioni. Puoi disdire mensilmente.
A proposito di questo titolo

What should an agent remember, retrieve, and re-check before acting? Dominick connects this week's DeltaX X Articles and public technical discussions through working memory, cache costs, and the boundary between saved information and current authority.


September 27, 2026 | DeltaX Weekly with Dominick Noval


Narration uses an authorized AI clone of Dominick Noval's voice. Grok Imagine scenes are generated conceptual illustrations, not recordings of product operation or real incidents. Research results belong to their source authors; hypothetical examples and proposed tests are identified as such.


CHAPTERS

00:00 What should an agent carry forward?

00:58 Memory needs a working set

02:41 Events, preferences and constraints

03:10 The cost of the computed past

04:53 Structure and output order

05:28 What survives a boundary

07:06 A promise needs a mechanism

08:11 Evaluate the trajectory

08:48 DeltaX research and changing conditions

10:01 What to test next


SOURCES

DeltaX: Your Agent’s Memory Needs a Working Set

https://x.com/deltaxevaluate/status/2102162154208338371


DeltaX: Parallel AI Doesn’t Need a Clean Slate

https://x.com/deltaxevaluate/status/2102534366853546022


DeltaX: The Agent Loop Has a Cache Tax

https://x.com/deltaxevaluate/status/2103983625687728477


DeltaX newsletter: What Changes When the Agent Can Change Itself?

https://www.linkedin.com/pulse/what-changes-when-agent-can-change-itself-dominick-noval-rmp0c/


SoL-Pi research

https://arxiv.org/abs/2609.20519


Nebius / WEKA vendor benchmark

https://nebius.com/blog/posts/nebius-weka-shared-kv-cache-benchmark-hgx-b300


dQwen3.5 research

https://arxiv.org/abs/2609.20751


OpenAI disclosure: simulated prompt injections

https://alignment.openai.com/misalignment-reports/self-replicating-prompt-injections-exist/


Claude Code plugin evaluations

https://code.claude.com/docs/en/plugin-evals


Reddit: Bots vs Harness

https://www.reddit.com/r/LocalLLaMA/comments/1wr8tf9/bots_vs_harness/


LinkedIn: What Are We Really Evaluating?

https://www.linkedin.com/pulse/what-we-really-evaluating-rethinking-evaluation-ai-agents-mahajan-siduf/


X: plugin evaluation conversation

https://x.com/adocomplete/status/2104019331025883493


DeltaX Connectome Entity public research

https://github.com/DeltaX-Public/deltax-connectome-entity


DeltaX is a dynamic recurrent decision engine. The public Connectome Entity work discussed here is computational simulation research, not a living organism or a physical-world deployment.


YouTube: @DeltaXWeekly

X: @DominickNoval


adbl_web_anon_alc_button_suppression_t1
Ancora nessuna recensione