96 out of 100: reading a benchmark honestly
Examine the evidence behind an archived 96-versus-95 benchmark result. Plan paired trials and scorer audits for a comparison that can support a conclusion.
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A land token needs a real-world right
Examine what a land token represents. Map token events to real-world rights and responsible parties, then test record reconciliation with fictional parcels.
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A proof check must be able to fail
Test whether a validator can reject plausible errors. Distinguish numerical checks, invariants, and formal proofs before relying on a passing result.
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A research roadmap with stop conditions
Plan AI experiments with fixed budgets, ablations, and stopping rules. Evaluate tokenizer and prompt changes through independent release decisions.
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An AI research budget you can audit
Calculate the cost of an accepted AI result. Separate setup, training, inference, retrieval, and review before comparing research efficiency claims.
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Diffusion speed needs an end-to-end measure
Compare AI generation speed through the accepted result. Evaluate LLaDA token editing and serving policies with validation, retries, and repair included.
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From transcripts to research evidence
Trace research claims from transcripts to their evidence. Build a dated source search and claim ledger, then turn uncertain statements into testable questions.
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House ASI: a prototype with testable questions
Evaluate the archived House ASI prototype against simpler baselines. Compare fixed roles and adaptive optimization while keeping capability claims testable.
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Memory that can explain its sources
Evaluate AI memory through its sources and corrections. Test changing facts, reusable procedures, consolidation costs, and whether updates reach later answers.
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Self-improvement needs a held-out test
Compare GEPA and adaptive optimization under fixed constraints. Evaluate proposed AI improvements on independent tasks before promoting a change.
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What fifteen proof problems can tell us
Review the mixed QED-Nano pilot results across fifteen problems. Separate rubric scores, complete proofs, and formal checking when interpreting the evidence.
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What the ASI review changed
Correct unsupported AI research claims while preserving the lesson. Use memory research and the archive's corrections to design falsifiable repair tests.
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