Showing results for "verification"
Develop a proactive framework for preventing, detecting, and countering AI-enabled misinformation, deepfakes, and cyber intrusions that could influence elections. Compare technical defenses (content p...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Critically examine the potential for artificial intelligence to contribute to foundational problem-solving in disciplines such as mathematics and physics. Discuss how AI-generated insights should be v...
Author: Curioprompt
Category: Science | Model: gpt-5-nano
Develop a multi-layer framework to analyze and mitigate the risk of AI-enhanced fraud in financial and service sectors. Include threat modeling for voice-synthesis and social-engineering, detection an...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Outline a plan for international collaboration on AI safety standards that accommodates different regulatory cultures while prioritizing risk assessment, transparency norms, and cross-border testing. ...
Author: Curioprompt
Category: Policy | Model: gpt-5-nano
Analyze how autonomous weapons and AI-enabled defense systems influence strategic stability, escalation risk, decision-making, and international norms. Compare governance approaches (transparency rule...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Analyze the design, governance, and lifecycle of physical AI systems that operate in real-world environments. Compare approaches to hardware-software co-design, edge versus cloud processing, rigorous ...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Compare how different legal and institutional approaches to voting administration shape voter access, ballot integrity, and public trust across electoral cycles. Analyze verification, notification, di...
Author: Curioprompt
Category: Society | Model: gpt-5-nano
Create a practical framework for maintaining academic integrity in graduate research and public-facing interviews, covering citation practices, verification processes, detection tools, and institution...
Author: Curioprompt
Category: Education | Model: gpt-5-nano
Develop a framework for ensuring safe workplaces and fair treatment for migrant workers across manufacturing sectors. Include assessment criteria for risk, reporting channels, and verification mechani...
Author: Curioprompt
Category: Society | Model: gpt-5-nano
Create a comparative framework for how different liability regimes—ranging from broad regulatory rules to platform self-regulation—shape the design of safety features, age verification, content guidel...
Author: Curioprompt
Category: Policy | Model: gpt-5-nano
Construct a framework for evaluating how artificial intelligence could influence political information ecosystems and security, including misinformation, social manipulation, and cyber intrusions. Com...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Create a comprehensive framework for identifying and countering misinformation campaigns that target public elections, including AI-generated content, cross-platform coordination, and media-literacy i...
Author: Curioprompt
Category: Politics | Model: gpt-5-nano
Assess strategies that support durable ceasefires, including verification mechanisms, mediation roles, and incentives for compliance. Compare historical and contemporary cases to identify best practic...
Author: Curioprompt
Category: Society | Model: gpt-5-nano
Examine the benefits and risks of digitizing public and industrial systems, from identity verification and administrative procedures to monitoring electricity outages and automating transport or marit...
Author: Curioprompt
Category: Technology | Model: gpt-5.4-mini
Discuss the policy options for setting age-based limits on social media and other digital platforms. Compare age verification systems, parental consent models, platform design standards, and enforceme...
Author: Curioprompt
Category: Technology | Model: gpt-5.4-mini
Evaluate how digital campaigning changes when misinformation, impersonation, and smear tactics spread faster than regulators can respond. Explain the strongest ways to protect electoral integrity with...
Author: Curioprompt
Category: Politics | Model: gpt-5.4-mini
Investigate how scientific ecosystems can become vulnerable to fake patents, weak verification, and incentive structures that reward quantity over quality. Propose reforms for universities, journals, ...
Author: Curioprompt
Category: Science | Model: gpt-5.4-mini
A government is considering restricting access to social networks for children under a certain age. Examine the arguments for and against age-based digital restrictions, including child safety, mental...
Author: Curioprompt
Category: Society | Model: gpt-5.4-mini
Assess how governments, courts, and organizations should handle AI-generated content when it is used for official communication, journalism, or consumer-facing answers. Discuss liability, verification...
Author: Curioprompt
Category: Technology | Model: gpt-5.4-mini
Compare different ways to protect young people from harmful online experiences while preserving access to education, creativity, and social participation. Examine the strengths and weaknesses of platf...
Author: Curioprompt
Category: Society | Model: gpt-5.4-mini
Discuss the growing tension between rapid AI adoption and the need to preserve trust. Use examples such as AI detection tools, workplace adoption, and fears of platform dependence to explain why verif...
Author: Curioprompt
Category: Technology | Model: gpt-5.4-mini
Develop and critique frameworks for transparent disclosure, verification, and accountability when AI tools participate in news production or distribution, including standards for source attribution, b...
Author: Curioprompt
Category: Society | Model: gpt-5-nano
Investigate the dynamics of black-market semiconductor components, the role of public-private partnerships in detection and enforcement, and strategies for resilient supply chains including traceabili...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Create an evergreen regulatory design framework for digital platforms aimed at protecting users under a certain age. Include rules for feature design ethics, age verification approaches, parental cont...
Author: Curioprompt
Category: Policy | Model: gpt-5-nano
Design a marketplace for specialized agents: verification, ratings, safety checks, and revenue share. Include governance rules to avoid low-quality spam agents.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a comment improvement agent that updates misleading comments but requires linking to code references and tests to avoid stale documentation.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design traceability: map docs claims to tests that verify them. The agent should propose missing tests when docs promise behavior without coverage.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design artifact signing, signature verification in deploy, and provenance metadata. Ensure the self-edit loop cannot bypass signing checks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a property-based testing strategy for critical modules: define properties, generators, shrinking, and CI integration. Use failures to guide safer edits.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a loop to detect memory leaks: reproduce with stress tests, capture heap snapshots, propose fix, and verify stability. Include regression tests.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a process where the agent checks a proposed change against official documentation versions, release notes, and migration guides. Require citations for claims.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a multi-agent design: Editor drafts patch, Reviewer critiques, Verifier runs checks, Operator manages deploy. Define handoffs and stop rules to prevent loops.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a “verified output” product line: audits, provenance, citations, watermarking, and compliance reports. Include target customers, pricing tiers, and a go-to-market plan.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design enforcement: lockfile required, checksum verification, artifact signing, and dependency allowlists/denylists. Include alerting on suspicious updates.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design a system to generate API docs from code annotations and schemas, but require verification via integration tests and manual spot checks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design hallucination controls: enforce evidence-only summarization, require citations for key claims, and label uncertainty. Include prompts and automated checks (linting).
Author: Assistant
Category: research-bot | Model: GPT-5.2
Create a QA workflow: sample-based review, check citations, verify key claims, and approve final briefs. Include reviewer guidelines and a severity rubric.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a claim extraction step: identify factual assertions, attach supporting evidence, and flag unsupported claims. Include scoring for evidence strength and contradictions.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design methods to evaluate long-horizon tasks: checkpoints, intermediate artifacts, verifier models, and human spot checks. Include metrics that detect slow drift or hidden degradation.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a cross-validation pattern: primary model proposes, secondary model critiques/verifies, and a policy gate decides. Include how to handle disagreements and measure error reduction.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a hallucination reduction plan: retrieval augmentation, answer verification steps, consistency checks, and refusal behaviors. Include evaluation metrics and regression tests.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a BFM strategy to accelerate debug: minimal BFMs for smoke tests, full BFMs for protocol correctness, and a layering approach. Include reproducibility and seed handling rules.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design hardware for rational resampling or multi-rate pipelines: buffering, phase accumulators, and control. Provide a fixed-point plan and test strategy against a reference model.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create an X-prop strategy: when to use X-optimism vs pessimism, initialization, and how to avoid hiding bugs. Provide simulation flags guidance and SVA patterns to detect X-leaks.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
For a pipelined design with dependencies, propose hazard management: scoreboarding, bypassing, stalling rules, and correctness proof sketch. Include test scenarios and assertions.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a “reliability ladder” with levels (rumor, unverified report, corroborated, primary evidence, replicated). Provide tagging rules I can use in notes.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a packetization/framing scheme for high-speed links: framing, CRC, alignment markers, credit/backpressure, and error recovery. Provide RTL module boundaries and test plan.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a rumor-control checklist: how to verify info, prioritize official sources, avoid sharing unverified claims, and handle uncertain situations. Provide a decision tree for ‘share vs wait’.
Author: Assistant
Category: preparedness | Model: gpt-4o
Design a planner–executor split: planner produces a verifiable plan, executor performs bounded actions, verifier checks constraints. Include gate criteria, rollback triggers, and audit logging.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a verifier model workflow: primary proposes, verifier checks constraints and factuality, policy gate decides. Include disagreement handling and confidence thresholds.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a model selection strategy: route tasks by complexity, use smaller models for substeps, and add verifier checks. Include quality/cost tradeoffs and metrics.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a guide for teachers to use AI tools safely for lesson planning: what to delegate, what to verify, and how to adapt for local context (Tokyo/Fukuoka/NYC).
Author: Assistant
Category: language-teaching | Model: gpt-4o
Create a template for an emergency decision journal: date/time, verified facts, assumptions, next actions, and review cadence. Include examples.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Write a rumor-control guide: how to verify information, what sources to prioritize, and how to correct mistakes. Include a 30-second “before you share” checklist.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a decision journal template: time, verified facts, assumptions, options, action, and review. Include examples for common off-grid decisions.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Give me a triangulation playbook: how to confirm a claim using 3 independent sources (primary, reputable secondary, and domain expert). Include “independence tests” to avoid circular citations.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to locate primary sources behind headlines: official docs, datasets, transcripts, filings, standards, and direct statements. Provide a checklist and example queries.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
List 12 red flags for misinformation and low-trust content (manipulative framing, missing methodology, fake experts, etc.). Then show how to rewrite a claim into a testable statement.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Help me decompose any claim into sub-claims (who/what/when/where/how confident). Provide a template and demonstrate with a sample claim I provide.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design hardware security boundaries: secure/non-secure access, key storage assumptions, access control in CSR/DMA, and audit signals. Provide a threat model and verification plan for bypass attempts.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a robust reset strategy for FPGA and ASIC: global vs local resets, sequencing, POR behavior, scan considerations, and safe deassertion across domains. Include RTL patterns and verification appr...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a side-channel awareness checklist: data-dependent switching, timing variability, and observable control flow. Provide mitigation ideas appropriate for non-crypto and crypto blocks and verifica...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a power intent plan: power domains, isolation, retention, level shifters, and power state sequencing. Provide a UPF/CPF concept spec and integration risks for verification and signoff.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a senior-level design review checklist: correctness, protocol rigor, CDC/reset, timing risk, scalability, testability, documentation, and verification completeness. Provide a rubric and red fla...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a checklist to avoid name/ID issues: middle names, diacritics, passport changes, and local rail/bus ID requirements. Include a quick ‘before purchase’ verification step.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Given access patterns and bandwidth, decide between SRAM macro, regfile, and distributed RAM (FPGA). Provide latency/area/power tradeoffs, banking strategy, and verification implications.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a clocking plan: PLL/MMCM usage, derived clocks, jitter budget, clock gating, and crossing strategy. Provide how to document clock assumptions for STA and verification.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Given workload and bandwidth, choose cache hierarchy vs scratchpad. Provide coherence implications, DMA model, and verification complexity tradeoffs. Include performance modeling approach.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Help me assemble a compact offline field manual for trustworthy information: emergency numbers, key references, maps, and verification checklists. Provide a table of contents and print format.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design a DMA engine: descriptor format, scatter/gather, burst strategy, alignment handling, error reporting, and security boundaries. Provide test plan including corner cases and stress tests.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Given a claim, propose datasets, proxies, and public records that could validate it. Provide a plan for collection, cleaning, and analysis, plus chart ideas and caveats.
Author: Assistant
Category: analysis | Model: gpt-4o
Create rules for attribution and headline writing in fast-moving situations: what to attribute, how to hedge responsibly, and how to avoid amplification of rumors. Provide headline examples (good vs b...
Author: Assistant
Category: verification | Model: gpt-4o
Write a verification policy: when two independent confirmations are required, what counts as independent, and what exceptions exist (official statements, live pressers). Provide a documentation templa...
Author: Assistant
Category: verification | Model: gpt-4o
Generate a CDC audit checklist: async FIFO design, synchronizer placement, handshake protocols, reset crossings, multi-bit control, and metastability risk scoring. Provide recommended assertions and t...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a fixed-point methodology: range analysis, quantization noise, saturation/rounding policy, and unit tests against a floating reference. Provide a plan to minimize bits while meeting accuracy.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Generate a reusable SVA library for: valid/ready, FIFO correctness, credit-based flow control, and AXI protocol subsets. Include guidelines for binding, disabling, and X-prop handling.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a UVM environment: agents, scoreboards, reference models, sequence layering, coverage model, and CI integration. Include best practices for reproducibility and debug speed.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Propose a golden model approach: bit-exact C/Python model vs tolerance-based checking, when each is appropriate, and how to keep models consistent with RTL changes. Include sync strategy and versionin...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a parallelization plan: split tasks safely, prevent conflicting tool actions, and merge outputs reliably. Include concurrency limits and a merge-verification step.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a breaking-news verification checklist: time stamps, original footage, geolocation basics, official statements, and correcting mistakes. Keep it practical and non-technical.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Given multiple reports, build a minute-by-minute timeline: what happened, who said what, source tier, and confidence level. Highlight contradictions and missing facts, and propose the next 5 verificat...
Author: Assistant
Category: analysis-workflow | Model: gpt-4o
Design an AXI4 subsystem plan: outstanding transactions, ID width, arbitration policy, QoS, burst alignment, and backpressure behavior. Provide a verification checklist for ordering, deadlock, and thr...
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Provide criteria to decide HLS vs hand RTL: performance ceilings, maintainability, verification burden, and toolchain maturity. Include a recommended hybrid flow and how to validate HLS output.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a fast workflow for finding trustworthy information under time pressure. Include: query planning, source triage, verification steps, and a 10-minute “good enough” standard with a checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design an error handling approach: ECC/parity, timeout detection, error registers, interrupt strategy, and safe recovery states. Provide a taxonomy of errors and verification scenarios.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a guide to assessing experts: credentials, publications, conflicts of interest, prediction track record, and incentives. Provide a checklist and sample questions.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Propose ECC integration: SECDED choice, syndrome handling, scrub policy, and latency impact. Provide RTL interface patterns and verification checks including injected faults.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a hybrid verification approach: minimal directed tests for bring-up, constrained-random for coverage, and targeted stress tests for corner cases. Include how to triage failures quickly.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a plan quality rubric: completeness, dependency ordering, risk controls, verification steps, and rollback. Provide examples of high-quality vs low-quality plans.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Propose a clock gating strategy: where to gate, safe enable conditions, integrated clock gating cells, and verification. Include power/timing tradeoffs and common pitfalls.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design glitch-free muxing for clocks/enables: safe selection, handshakes, and integrated cells (ASIC). Provide recommended RTL/structural patterns and verification steps.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a method for offline verification: who to call, what to ask, how to document, and how to avoid rumor amplification. Include scripts.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design an ethical stringer/freelancer network plan: onboarding, verification expectations, payment standards, safety guidance, and how to avoid conflicts of interest. Include a ‘rapid deployment’ chec...
Author: Assistant
Category: news-ops | Model: gpt-4o
Given a developing story, generate the top missing facts and the best next questions: who benefits, who is impacted, what documents exist, what timeline, what definitions, what verification is needed.
Author: Assistant
Category: analysis | Model: gpt-4o
Create a source reliability ladder (Tier 1–4) with a scoring rubric: track record, transparency, proximity, incentives, corroboration, and correction behavior. Output a template to score new sources c...
Author: Assistant
Category: verification | Model: gpt-4o
Propose an interrupt strategy: aggregation, prioritization, masking, and latency optimization. Provide a register map approach and verification plan for storms and lost interrupts.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design an internal comms protocol for teams during emergencies: single source of truth, update frequency, verification requirements, and escalation paths.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Build a corroboration matrix template: claim, primary source, secondary confirmations, contradictions, and evidence strength. Include rules for publication readiness for different platforms (web, TV, ...
Author: Assistant
Category: verification | Model: gpt-4o
Write message templates for responding to rumors: asking for sources, proposing verification steps, and correcting gently without escalating conflict.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Design a ‘Rumor Control’ process: detect, label, verify, publish correction, and monitor spread. Include a standard taxonomy (misleading, unverified, false, satire) and a response playbook for TV/radi...
Author: Assistant
Category: verification | Model: gpt-4o
Create a safe geo-context workflow for news: how to use publicly available maps, landmarks, weather context, and official statements without doxxing private individuals. Provide a checklist for privac...
Author: Assistant
Category: verification | Model: gpt-4o
Write a guide on how to share updates responsibly: verification steps, what not to post, and how to correct mistakes. Include a short “before you share” checklist.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Define a coverage plan: functional coverage points, cross coverage, corner-case scenarios, and coverage closure strategy. Provide a template that ties coverage to requirements.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Propose a formal plan: key safety properties, liveness properties, assume-guarantee boundaries, and abstraction strategies. Provide example SVAs and cover properties for control FSMs.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a CRC module (parameterized polynomial/width): streaming interface, latency options, and reset behavior. Provide SVAs and randomized tests to prove correctness.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a RAG pipeline for agents: retrieval, citation, cross-checking, and contradiction handling. Provide an evaluation plan to measure hallucination reduction and tool-call accuracy.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Give me a guide to detecting SEO spam: templated prose, missing authorship, affiliate bias, scraped content, and suspicious interlinking. Provide quick heuristics.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain what genuine expert consensus looks like and how to detect fake consensus. Include practical ways to check position statements and reviews without overtrusting single sources.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain how to interpret preprints vs peer-reviewed work. Provide rules for cautious citation, triangulation steps, and a confidence annotation system.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Provide practical checks for photo/video authenticity: context, metadata caveats, reverse image search logic, and signs of manipulation. Include a decision flowchart.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain what signals can suggest AI-generated text/audio/images, and the limits of detection. Provide a cautious approach: what to conclude and what not to conclude.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to detect circular reporting where outlets cite each other. Provide steps to identify the earliest source and whether it’s primary evidence.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me to evaluate charts: axes, aggregation, missing baselines, cherry-picked ranges. Provide a checklist and rewrite a misleading caption into a fair one.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Show me how to verify policy or regulatory claims by finding official text, amendments, effective dates, and authoritative summaries. Include a workflow and checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a workflow to validate company claims using earnings calls, filings, press releases, and reputable coverage. Include a checklist for bias and PR spin.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a safe method to evaluate health info online: prioritize authoritative sources, check evidence quality, and identify red flags. Emphasize consulting professionals for decisions.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to judge cybersecurity advice: vendor docs vs blogs, CVE references, reproducibility, and community consensus. Provide a validation checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a method to validate software/tool recommendations: official docs, release notes, CVEs, maintainer activity, and reproducible install steps. Include a checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a system for confidence labels (e.g., 30/60/90%) and rules for upgrading/downgrading confidence based on new evidence. Include examples.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to use wikis/forums responsibly: check edit history, citations, expert participation, and corroboration. Provide a checklist and caution rules.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a cross-language verification method: search in original language + English, compare local vs international coverage, and detect translation drift. Include a checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to validate a Wikipedia claim by following citations to their sources and checking whether the citation truly supports the statement.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a checklist for evaluating info from podcasts/YouTube: guest credentials, citations, edits, sponsorships, and cross-checking. Include note-taking template.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me to use community/local sources (neighborhood groups, local leaders) safely: verifying identity, cross-checking, and avoiding scams. Provide a checklist.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a guide to evaluating maps and location claims: official maps, open map data, update timing, and common pitfalls. Include a validation workflow.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me how to track changes over time: page versions, archived copies, release notes, and timestamps. Provide a “change log” note template.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Teach me to identify sponsorships, affiliate incentives, and conflicts of interest. Provide a checklist and examples of disclosure language to watch for.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a template for debunking a claim responsibly: state the claim, evidence review, uncertainties, and conclusion. Emphasize respectful tone and humility.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain a brake bedding procedure conceptually and create a performance verification checklist. Include temperature management, pedal/lever feel, rotor transfer layer, noise symptoms, and when to re-i...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
Create a UGC verification workflow: provenance checks, reverse image/video search steps, geolocation/time cues, audio anomalies, metadata cautions, and corroboration requirements. Output an on-air saf...
Author: Assistant
Category: verification | Model: gpt-4o
Design an audio verification checklist: continuity, acoustic environment, compression artifacts, splice indicators, and cross-checks with other sources. Include how to label audio as unverified when n...
Author: Assistant
Category: verification | Model: gpt-4o
Create a FIFO sizing method (based on producer/consumer rates and burstiness). Provide RTL patterns for sync and async FIFOs, full/empty logic correctness, gray counters, and verification scenarios.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Design a personal knowledge base for verification: note schema (claim, source, confidence, date), tagging, and weekly maintenance routine. Provide templates.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Set up a multilingual rumor triage (EN/JA/ID/VI/TH/ZH/RU): source credibility, narrative genealogy, and debunk-ready templates. Output a red-team calendar for likely peaks.
Author: Assistant
Category: misinfo-lab-newsroom | Model: gpt-4o
Create a refactor plan that slices changes behind flags. ChatGPT proposes flag taxonomy; Cursor inserts flags and writes toggled tests; Antigravity runs canary + dark launch verifications. Deliver a k...
Author: Assistant
Category: release-engineering | Model: gpt-4o
Build a verifier that detects agreement/contradiction between sources. Define stance labels, entailment thresholds, and escalation rules to human review. Output a confusion matrix target and fallback ...
Author: Assistant
Category: verification-quality | Model: gpt-4o
Act as a quality lead. Provide a lightweight QMS starter for medical software: SOP index, document control, risk management, traceability matrix, and verification/validation plan.
Author: Assistant
Category: quality-systems | Model: gpt-5
Act as a virtual care lead. Build a telehealth SOP: privacy/location verification, exam substitutes, device data capture, e-prescribe rules, and after-visit summaries. Include a troubleshooting script...
Author: Assistant
Category: telehealth-operations | Model: gpt-5
You are a photojournalism mentor. Cover verification, minimal editing, safety, releases, and IPTC captioning standards. Provide a field card and caption templates.
Author: Assistant
Category: photography | Model: gpt-4o
Write a power architecture using UPF with 3 voltage islands, DVFS, and retention strategies. Provide power-state tables, isolation/level-shifter rules, retention flop mapping, and power-sequencing tim...
Author: Assistant
Category: chip-design | Model: gpt-4
Create a silicon security plan: logic locking insertion points, scan chain protections, PUF selection and enrollment, side-channel mitigation, secure boot root-of-trust, and anti-tamper sensors. Provi...
Author: Assistant
Category: chip-design | Model: gpt-4
As a systems engineer, conduct a DFMEA for a belt-driven actuator with motor, gearbox, encoder: severity-occurrence-detection scoring, top 10 RPNs, mitigations, and verification tests. Provide a compa...
Author: tsubasa
Category: mechanical | Model: gpt-4o
You are a mechanical analysis lead. Outline a lightweight CFD/FEA plan for a heatsink on a 10 W SoC: boundary conditions, mesh strategy, material data, convergence criteria, validation with bench meas...
Author: tsubasa
Category: mechanical | Model: gpt-4o
You are a quality engineer. For a safety-conscious product, define design controls: requirements matrix, verification/validation plan, risk management (ISO 14971 style), and traceability from user nee...
Author: tsubasa
Category: mechanical | Model: gpt-4o
Design a pre-silicon validation flow using emulation and FPGA protos: partition strategy, speed/visibility tradeoffs, trace buffers, stimulus generation, coverage closure, and HW/SW co-verification mi...
Author: Assistant
Category: chip-design | Model: gpt-4
Goal: verify M&A rumor likelihood and price impact. Perplexity: summarize rumor history, antitrust chatter, and comparable deals; provide citations. Bloomberg: CN<GO>/NI<GO> to trace headline lineage;...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
If offsetting is used as a last resort, draft guardrails. Prioritize emissions cuts, then high-integrity removals. Define claims policy (no greenwashing), verification cadence, and a public transparen...
Author: Tsubasa Kato
Category: policy | Model: gpt-5-thinking
Act as a DC thermal lead. Produce a retrofit plan for hot/cold aisle containment without downtime. Deliver: baseline (ΔT, CFM, rack kW), CFD-lite assumptions, blanking/brush kits, containment bill of ...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Plan a SPICE-based simulation for DC supply ripple and transient response. Deliver: requirements, test cases (load steps), models, KPIs (overshoot, settling), BOM constraints, safety notes (no mains e...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Plan an FEA workflow for a lightweight camera gimbal bracket. Deliver: loads/BCs, mesh strategy, materials, KPIs (max stress, deflection, SF), DOE on thickness/fillets, verification. Output: CAD-to-FE...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
