Meta Muse’s dedicated per-user VM does not prevent provider access
Meta documents a dedicated per-user VM for Muse, while provider-access prevention remains a planned confidential-computing capability.
Super Genius Labs Editorial · Sep 14, 2026 · 3 min readThinkingOpenAI’s “automated research intern” is an internal measurement claim, not a portable productivity benchmark
OpenAI’s research-intern milestone separates agent runtime, spending, activity, and research progress into distinct measurement layers.
Super Genius Labs Editorial · Sep 8, 2026 · 4 min readThinkingAWS and Google Cloud agent governance: a source-bounded capability matrix
Compare AWS and Google Cloud’s documented agent-governance scope without mistaking vendor descriptions for operating evidence.
Super Genius Labs Editorial · Sep 4, 2026 · 4 min readThinkingAnthropic is turning frontier-model safeguards into a product tier
Fable 5.1 and Mythos 5.1 show why model procurement now has to capture access, safeguards, routing, retention, and cost.
Super Genius Labs Editorial · Sep 2, 2026 · 4 min readThinkingGoogle’s agent pricing now turns usage forecasts into commitment risk
Google’s new agent billing options make workload variability, unused spend, and commitment duration part of the platform decision.
Super Genius Labs Editorial · Aug 27, 2026 · 4 min readThinkingWhat a publication-date filter can prove
Date filters can enforce retrieval eligibility, but historical claims need a separate check of what each result contained at the cutoff.
Super Genius Labs Editorial · Aug 25, 2026 · 3 min readThinkingTreat frontier-model safety pauses as vendor-continuity signals
OpenAI’s disclosed Astra slowdown offers a bounded procurement signal: provider-controlled capability thresholds and research-environment changes can alter roadmap assumptions even while release timing and capability assessments remain unresolved.
Super Genius Labs Editorial · Aug 24, 2026 · 3 min readThinkingThe FDA’s GenAI-device paper is a question set, not a compliance checklist
FDA is considering a competency-based evaluation model for generative-AI medical devices. Its discussion paper offers diligence questions about the finished device, intended use, clinical confirmation, and postmarket monitoring—not adopted requirements.
Super Genius Labs Editorial · Aug 23, 2026 · 4 min readThinkingCan the receptionist actually change the schedule? A write-path test for voice-AI buyers
A scheduling conversation is not the same as a completed scheduling transaction. This write-path test traces discovery, booking, rescheduling, and cancellation from caller request to committed record, exception, and handoff.
Super Genius Labs Editorial · Aug 22, 2026 · 5 min readThinkingWhat evidence should healthcare AI operators retain for non-device software?
FDA’s patient-safety inquiry gives healthcare AI operators a bounded prompt: preserve intended use, observed benefits, safety signals, implementation lessons, governance practices, and evidence ownership without treating an operational record as a legal classification or proof of safety.
Super Genius Labs Editorial · Aug 13, 2026 · 4 min readThinkingRead Cortex AI Gateway as an announced control plane—not a verified operating result
Snowflake has announced one control layer for agent access, activity records, interoperability, and AI spending. Preview status leaves its behavior, coverage, and enforcement open to operator verification.
Super Genius Labs Editorial · Aug 11, 2026 · 3 min readThinkingAI disclosure should survive the interaction
A footer or opening message can leave channel transitions, handoffs, or generated-media paths untested. Model disclosure as owned product states with reviewable regression evidence.
Super Genius Labs Editorial · Aug 7, 2026 · 5 min readThinkingAudit the workflow before buying healthcare voice automation
Map the scheduling rules, financial barriers, queues, callbacks, and ownership behind patient-access work before comparing healthcare voice products.
Super Genius Labs Editorial · Aug 4, 2026 · 3 min readThinkingMeasure healthcare call resolution beyond handling rates
A single automation or containment rate can hide materially different outcomes. Separate access, administrative task completion, callbacks, and human escalation.
Super Genius Labs Editorial · Aug 2, 2026 · 4 min readThinkingWelcome to Super Genius Labs
Notes on why we built a lab around agent teams, not chatbots.
Super Genius Labs Editorial · May 21, 2026 · 1 min read