Frontier capabilities
Read architectures, experiments and evaluations to understand what changed and under which conditions.
Evidence boundary
A benchmark result does not establish a general capability.
THE METHOD / DEEP VERTICAL ALPHA
A claim about AI can be technically true and economically incomplete. The research follows the chain far enough to find which conclusions the evidence supports—and which questions remain open.
Inspect a public exampleTHE RESEARCH DISCIPLINE
Find the primary source, its date and its scope. An announcement, a deployment and a measured result are different facts.
Connect capability to constraints and consequences. Show which relationships are observed and which remain hypotheses.
Test timing, comparison groups, magnitude and rival explanations. Keep the unsupported step open to challenge.
Share sources, calculations and useful visual models. Label the assumptions and the limits of each example.
Date the work, preserve its context and acknowledge what new evidence changes.
RESEARCH CAPABILITIES
Deep Vertical Alpha brings together methods for investigating AI and its consequences. The question determines which methods are useful; each published study states its own scope and limits.
Read architectures, experiments and evaluations to understand what changed and under which conditions.
A benchmark result does not establish a general capability.
Follow the limits that shape useful intelligence: compute, memory, energy, data and reliable operation.
A plausible mechanism still needs measurement.
Recover context, reconcile conflicting accounts and distinguish a primary record from a partial retelling.
Source completeness is not independent verification of a claim.
Trace technical change through infrastructure, obligations, costs and delivery using public evidence.
An issuer study does not imply ownership or predict a return.
Compare alternatives, make assumptions explicit and test where a conclusion stops holding.
An illustration or sensitivity is not a forecast.
Use diagrams and interactive models to make relationships, uncertainty and evidence easier to examine.
Conceptual diagrams are labelled; measured quantities retain their sources.
A method describes how a question can be investigated. The sources, calculation and limitations in each public study show what that particular investigation established.
WHAT MAKES RESEARCH INSPECTABLE
Identify the subject, source date, reporting period and unit of comparison. Distinguish a technical announcement, a deployment and an observed result.
Link public evidence and show reproducible arithmetic where it helps. Keep reported figures separate from assumptions, estimates and sensitivities.
Consider what else could explain the observation and what evidence would distinguish the alternatives. A plausible mechanism is not a measured outcome.
Keep the date and scope of a study visible. Preserve its source record and identify corrections without implying that an older finding is current.
Each published study stands on its cited public evidence. Issuer analysis does not disclose or imply ownership, an investment position or a trading result.
Inspect an example’s limitsRESEARCH DISCUSSION
Questions, corrections and relevant public sources are welcome from the research community.
Discuss the research