A scientific programme, built in public

Follow the question. Inspect the experiment. Keep the evidence.

Our expanded programme connects independent NSDM decision research to accelerated computing and the human purposes those systems serve. Each weekly record makes a question, artefact, limitation and next test visible.

The scope is deep. The sequence stays disciplined.

Foundation Sprint 0 runs through 30 November 2026. The formal ACE core begins on 1 December, with evidence closure targeted for 31 October 2027. The locked 12 phases, eight platform lanes and 16 evidence gates remain the curriculum. Publication packages the work; it does not pass a gate.

Numerics and architecture

Precision, conditioning, solvers, locality, dependency, memory hierarchy and parallel decomposition. Correctness and competing explanations precede performance claims.

Accelerators and compilers

CUDA, profiling, asynchronous execution, HIP/ROCm, JAX/TPU, LLVM, Triton and compiler-generated paths. Hardware comparisons require actual access and platform feasibility.

Hosts, networks and scheduling

Linux, containers, topology, communication, admission, priority, effective demand and physical allocation/release. Simulation can test placement contracts, not physical fabric speed.

Serving and reliability

Model internals, batching, cache behaviour, request conservation, service objectives, telemetry, induced failures and recovery.

Authority and economics

Actor/owner/delegation controls, reproducible deployment, capacity and cost per valid service-compliant outcome. Measured and estimated inputs stay separate.

Human decisions and future scenarios

Behavioural validity, consent, context, abstention and bounded autonomy. Neuromarketing is an application lane. AGI and superintelligence remain research scenarios rather than demonstrated capabilities.

A weekly record with room for uncertainty.

Each issue pairs a website evidence entry with a NeuroAlchemist field note or experiment dispatch and a purposeful visual. Occasional longer essays explore a mature result. Experiments can span several weeks; protocols, failed hypotheses, unsupported configurations, replication audits and corrections are legitimate records.

Scientific graphs come from committed data and reproducible code. Exact diagrams explain mechanisms. Generated illustrations are labelled conceptual. Every issue separates measured results, external observations, inference and proposed work.

Editorial discipline: the Friday-afternoon task prepares a release candidate. Human sign-off precedes website or Substack publication. A publishing date never manufactures a measurement or a competency pass.

Read The NeuroAlchemist on Substack → · Inspect the admission checks →

Weekly record · 8 October 2026

Same work. Different paths through memory.

Status: measured CPU evidence from 11 September 2026, newly visualised from its committed dataset. New experiment executed: no. Gate 1 remains passed; the architecture sprint remains active.

Measured CPU access times and random-to-sequential indexed ratios across 13 nominal data sizes. Medians use nine observations per condition and size. The three registered largest sizes exceed the H1 ratio threshold.
468 observations; four conditions; nine observations per condition/size. Shaded bands show interquartile ranges, not confidence intervals. Indexed conditions also use index storage. Ratios are ratios of medians.

Open full-size graph → · Open vector graph →

At the three registered largest nominal sizes, random indexed traversal was slower than sequential indexed traversal by ratios of 5.207, 6.273 and 8.107. This supports the registered H1 threshold for the recorded implementation. It does not identify an exact cache boundary, establish a universal DRAM-latency value or predict GPU performance.

The source records and plotting method remain inspectable. The graph preserves the complete size sweep, including near-parity conditions. Git-normalized and original Windows line-ending hashes are recorded separately; the experiment data has not been rewritten.

Editorial companion: “The machine must account for its work” is a prepared Substack field-note draft awaiting author sign-off. No published article URL is asserted.

What happens next?

Foundation competence comes first. The programme defines 14 reusable experiment families spanning numerical validity, parallel scaling, kernel diagnosis, concurrency, optimization admission, lifecycle/resource/authority conservation, topology, reliability, backend comparison, economics and behavioural validity. Every execution needs prerequisites, a reference, a falsifiable question and a platform-feasibility check.

Existing NSDM papers, experiment dates, null findings and research statuses remain intact. The next weekly record will follow actual progress rather than a promised result.