Daily Dualcom research, validation and experimental work. Results and gold-star scores are displayed only when recorded.
24 experiments in today's research pack.
Lab: Dualcom AI Core
A bounded change targeting self-correction can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: deterministic replay
Status: PLANNED
Gold score: Not measured yet
Lab: Dualcom AI Core
A bounded change targeting multi-step completion can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: bounded simulation
Status: PLANNED
Gold score: Not measured yet
Lab: Dualcom AI Core
A bounded change targeting calibration can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: regression suite
Status: PLANNED
Gold score: Not measured yet
Lab: Dualcom AI Core
A bounded change targeting memory retrieval can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: controlled A/B run
Status: PLANNED
Gold score: Not measured yet
Lab: Complex Edge Team AI
A bounded change targeting cross-engine orchestration can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: controlled A/B run
Status: PLANNED
Gold score: Not measured yet
Lab: Complex Edge Team AI
A bounded change targeting planner-to-executor handoff can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: adversarial prompt suite
Status: PLANNED
Gold score: Not measured yet
Lab: Complex Edge Team AI
A bounded change targeting conflict resolution can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: regression suite
Status: PLANNED
Gold score: Not measured yet
Lab: Complex Edge Team AI
A bounded change targeting failure recovery can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: regression suite
Status: PLANNED
Gold score: Not measured yet
Lab: AI Hardware Lab
A bounded change targeting tensor throughput can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: controlled A/B run
Status: PLANNED
Gold score: Not measured yet
Lab: AI Hardware Lab
A bounded change targeting memory locality can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: bounded simulation
Status: PLANNED
Gold score: Not measured yet
Lab: AI Hardware Lab
A bounded change targeting thermal-aware routing can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: adversarial prompt suite
Status: PLANNED
Gold score: Not measured yet
Lab: AI Hardware Lab
A bounded change targeting compute scheduling can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: cross-check against reference answers
Status: PLANNED
Gold score: Not measured yet
Lab: Science & Innovation Lab
A bounded change targeting hypothesis ranking can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: regression suite
Status: PLANNED
Gold score: Not measured yet
Lab: Science & Innovation Lab
A bounded change targeting materials reasoning can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: regression suite
Status: PLANNED
Gold score: Not measured yet
Lab: Science & Innovation Lab
A bounded change targeting evidence synthesis can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: cross-check against reference answers
Status: PLANNED
Gold score: Not measured yet
Lab: Science & Innovation Lab
A bounded change targeting counterfactual testing can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: fault-injection test
Status: PLANNED
Gold score: Not measured yet
Lab: vTC / Virtual Systems Lab
A bounded change targeting data-path coordination can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: deterministic replay
Status: PLANNED
Gold score: Not measured yet
Lab: vTC / Virtual Systems Lab
A bounded change targeting state recovery can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: cross-check against reference answers
Status: PLANNED
Gold score: Not measured yet
Lab: vTC / Virtual Systems Lab
A bounded change targeting latency stability can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: bounded simulation
Status: PLANNED
Gold score: Not measured yet
Lab: vTC / Virtual Systems Lab
A bounded change targeting cross-component synchronization can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: adversarial prompt suite
Status: PLANNED
Gold score: Not measured yet
Lab: BLACK HOLL REPAIR AI
A bounded change targeting recovery after malformed input can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: adversarial prompt suite
Status: PLANNED
Gold score: Not measured yet
Lab: BLACK HOLL REPAIR AI
A bounded change targeting loop detection can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: regression suite
Status: PLANNED
Gold score: Not measured yet
Lab: BLACK HOLL REPAIR AI
A bounded change targeting patch verification can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: adversarial prompt suite
Status: PLANNED
Gold score: Not measured yet
Lab: BLACK HOLL REPAIR AI
A bounded change targeting bug isolation can improve one or more measured Dualcom AI quality metrics without causing a regression in safety or stability.
Method: deterministic replay
Status: PLANNED
Gold score: Not measured yet
24 experiments
Analiză interdisciplinară despre diferența dintre puterea de calcul, inteligența artificială, autonomia operațională și conștiință, pusă în dialog cu antropologia creștin-ortodoxă, filosofia minții, neuroștiința și informatica modernă.
Documentul tratează și ideea de „self-aware AI”, raportul dintre complexitate și experiență conștientă, precum și limitele afirmațiilor care pot fi susținute teologic, filosofic sau științific.
Descarcă documentul în română (.docx)An interdisciplinary analysis of the distinction between computing power, artificial intelligence, operational autonomy and consciousness, considered alongside Orthodox Christian anthropology, philosophy of mind, neuroscience and modern computer science.
The document also examines the idea of “self-aware AI,” the relationship between complexity and conscious experience, and the limits of claims that can responsibly be made in theology, philosophy and science.
Download the English document (.docx)Research documents published in the Dualcom AI News scientific archive.
Document de cercetare privind analiza spațială și scenariile investigate în cadrul Dualcom Science AI.
Descarcă documentul în română (.docx)Research document covering the spatial analysis and investigated scenarios developed within Dualcom Science AI.
Download the English document (.docx)Arhiva cercetării Dualcom Science AI asupra conjecturii Collatz, incluzând metodele, experimentele și rezultatele documentate.
Descarcă documentul în română (.docx)Archive of Dualcom Science AI research on the Collatz conjecture, including documented methods, experiments and results.
Download the English document (.docx)