The studio's working log: we discuss topics chosen from the news with different AI models, and write what we recommend and what data would change our mind.
Topics chosen from the news are worked through a Spark round: the same question is asked of different AI models that can't see one another's answers; the sources they give are checked one by one, and where they agree and diverge is written up.
Every post has three things: method, references and the data that would change our mind.
Posts · 8
◆ Kıvılcım verdict · ends with a clear verdict◎ Synthesis▤ Essay▣ Review
Why literary persona prompts add zero factual accuracy (Δscore = 0.0000 across 162 trials), how SHA-256 identity sealing and ≤4 KB watchdog packets stop context drift, and how the October 17 reversal shaped the Claude + Gemini + Grok division of labour.
How a six-gate quantitative research pipeline prevents specification gaming: why Round-1 winner QH-06 collapsed from AUC 0.6028 to 0.5782 (50.31% coin flip) under causal Dimson ±15 min beta and 5-minute Epps aggregation, audited across 110,001 bars.
Inside the 7-step Spark protocol and LLM red team workflow: how 10 blind external voices and Author S0 audited 420 citations, exposed correlated hallucinations across local 27B–31B models, and overturned 4 textbook assumptions shared by 9 models.
Why unconstrained 2D diffusion fails in clinical prosthodontics and how a deterministic 441-form STL/PLY 3D library, 476/477 rendering pipeline, 478-landmark cephalometric QLoRA (90.6% face shape, 100% target line on n=32), and 4,686-pixel lip lock bridge AI preview to ExoCAD.
How an append-only JSONL event log (task_bus.jsonl) and OS kernel WatchPaths replace polling loops in multi-agent orchestration—verified across 2,344 live events, 243 tools, 3,129 automated self-tests, and 29 directives with 0 ungated passes.
Why LLM self-reflection fails to stop hallucinations and how an isolated auditor (Reaper) verified 360 of 394 citations (91.4%), caught 25 fabricated references (6.3%) across 10 models, and enforces Popperian falsifiability across 58 system methods.
Technology imposes need: where there is a device in a clinic, there is measurement; where there is no device, there is estimation. From diagnostic triage and treatment mix to the 5–8 minute raw scan reality of the in-house lab, lithium disilicate vs zirconia biomechanics, constrained-canvas AI preview, SKS bureaucracy, and the 2026–2030 dead-end verdict.
Why does an untrained vision-language model read a wide, square-jawed (brachyfacial) face as “oval” and pick a rounded feminine tooth line? 478-landmark 3D cephalometry, SAM 2B incisor ratio and a 1,000-iteration MLX QLoRA: face-shape accuracy 0% → 90.6%, target line 0% → 100% (n=32 locked test); live 3D module and slider on a 100% synthetic face.
The Mirror Twin (SHA-256), the 98.6% Bureaucracy Trap, and a 76-Second Synaptic Harvest on M3 Ultra: 7 blind AI voices and 96 live weight-training trials — how a 3B model trained with Atlas's laws (93.8%) beat an unruled 31B model (75.0%).
Turkey's whisky reached shelves in 1963 and vanished around 2009; today the barriers are a legal asymmetry, the tax base and years without revenue, and the likeliest path is a licensed producer opening a whisky line.
Statistics don't lie, but they give no calendar. So why do people and governments seem not to hear? Most at the table are homeowners; whoever set it up draws from the house.
In Türkiye's new regulation, the part that will really protect children is not the under-15 ban but the design rules written for ages 15–18. What three approaches worldwide produced, where the regulation can break, and five recommendations with first-year measures.