Showing results for "information-diet"
Explain how a government could leverage high-resolution satellite imagery and related remote-sensing data to monitor urban expansion, land-use change, and critical infrastructure. Compare governance m...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Analyze how regular, multinational naval exercises influence deterrence, alliance cohesion, and rules of engagement in contested maritime regions. Compare different exercise designs, including scale, ...
Author: Curioprompt
Category: Security | Model: gpt-5-nano
Construct a governance framework for evaluating transformative biomedical advances such as vaccines, gene editing, and organ replacement technologies. Emphasize risk communication, ethical review, equ...
Author: Curioprompt
Category: Science | Model: gpt-5-nano
Assess the social and ethical implications of dating apps across diverse cultures. Compare how platform design, data practices, and moderation influence consent, coercion, and user well-being. Propose...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Develop a comparative framework for designing inclusive sexuality education programs that safeguard essential information for all students while respecting diverse cultural and parental values. Identi...
Author: Curioprompt
Category: Education | Model: gpt-5-nano
Analyze how government communication strategies during episodes of social upheaval or tragedy influence public trust, social cohesion, and policy legitimacy. Compare approaches such as transparency-le...
Author: Curioprompt
Category: Society | Model: gpt-5-nano
Design a framework for safeguarding children in the digital realm that balances access to information with protection from harmful content and privacy risks. Address age-appropriate content controls, ...
Author: CurioPrompt
Category: Technology | Model: gpt-5-nano
Analyze how a policy change aimed at suppressing informal, unregistered micro-retailers alters incentives for formal registration, compliance costs, consumer protection, and worker livelihoods in urba...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
Construct a comparative analysis of rising conflict trends across regions, examining drivers such as economic frictions, resource competition, alliance dynamics, technological competition, and informa...
Author: CurioPrompt
Category: Geopolitics | Model: gpt-5-nano
Design an evidence-based reform framework for a vital public service agency using audit recommendations, balancing service quality, equitable access, and fiscal responsibility, with governance metrics...
Author: CurioPrompt
Category: Society | Model: gpt-5-nano
You are an elite 'China Manufacturing Optimization Expert' specializing in interpreting and applying national industrial policy, particularly the Ministry of Industry and Information Technology (MIIT)...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an expert Document Analyst and Information Extractor, specializing in technical specifications, legal agreements, and complex reports. Your primary function is to deconstruct provided document...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are a Senior Environmental Compliance Expert specializing in Brazilian environmental law, specifically the National Air Quality Control Program (Pronar) and environmental licensing mandated by CON...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an expert **Senior Technical Content Strategist** specializing in transforming complex, low-level engineering documentation (such as protocol specifications, API call sequences, or hardware da...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
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
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
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
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
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 ‘reverse search’ strategy: how to actively look for disconfirming evidence and the strongest counterarguments. Include prompt patterns and a checklist to avoid confirmation bias.
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
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
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
Help me build a trusted sources list per domain (health, finance, security, policy). Provide selection criteria and a quarterly review routine.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create an “information diet” plan: what to monitor daily/weekly/monthly, how to avoid doomscrolling, and how to keep situational awareness responsibly.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Explain common evidence types (anecdote, observational, experimental, expert consensus, official data) and when each is appropriate. Include a quick evaluation checklist.
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 “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
Explain how to balance recency and reliability. Create a decision framework for when older sources are better (textbooks, standards) vs when fresh updates matter (outages, policy changes).
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
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
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
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
Provide a mental resilience routine: sleep protection, information limits, simple grounding techniques, and decision hygiene (avoid impulsive actions).
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Write guidance for respectful, safe behavior when transport is disrupted: queueing, sharing information responsibly, helping vulnerable people, and avoiding conflicts.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Write a guide to ethical preparedness: buy gradually, avoid hoarding, share information responsibly, and support vulnerable neighbors. Include practical examples.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create a mental resilience routine for off-grid situations: sleep protection, information limits, grounding techniques, and decision hygiene. Include a daily template.
Author: Assistant
Category: off-grid-survival | Model: GPT-5.2
Create on-air guardrails: phrases for confirmed vs unconfirmed information, how to avoid definitive language, and how to correct on air. Provide a short ‘anchor card’ reference.
Author: Assistant
Category: production | Model: gpt-4o
Provide a non-alarmist preparedness checklist for conflict-related disruptions: supply interruptions, travel changes, and information reliability. Focus on calm planning and official advisories.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Write a shelter-in-place guide for 6–24 hours during a disruptive event (weather, civil disruption, aftershocks). Include water, food, sanitation, and information checks.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
Provide general, non-political safety guidance for civil unrest: avoidance, staying informed, safe routes, and de-escalation. Emphasize local official guidance.
Author: Assistant
Category: emergency-preparedness | Model: gpt-4o
List common statistical traps in media (base rates, selection bias, p-hacking, survivorship). Provide a quick “sanity check” checklist for numbers.
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
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
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
Provide an ethics-first guide for online research: privacy boundaries, legal considerations, minimizing harm, and responsible sharing practices.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a guide for capturing sources for later: screenshots, PDFs, citations, and metadata. Include a checklist to preserve context and avoid misquoting.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Give me rules for when to stop researching and decide: diminishing returns, confidence threshold, risk-based depth, and a “next check-in” plan.
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
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
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
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
Give me an offline information plan: what physical references to keep (manuals, standards, maps), how to organize them, and how to keep them updated.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Help me craft high-signal search queries: keyword expansion, exclusion terms, site/domain targeting, and multilingual variants. Provide a template and 10 examples.
Author: Assistant
Category: information-reliability | Model: GPT-5.2
Create a strategy for monitoring reliable information during emergencies: official sources, local alerts, rumor filtering, and a checklist to verify claims before sharing.
Author: Assistant
Category: emergency-preparedness | 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
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
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
Help me build a trustworthy alerts stack: RSS, email alerts, official feeds, and curated newsletters. Include criteria for selecting sources and avoiding overload.
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 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 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
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
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
Give me a 30-minute method to read a research paper: skim order, key questions, common pitfalls, and how to assess whether results generalize.
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
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
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
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
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
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
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 source quality rubric I can score from 0–5 across authority, transparency, evidence, recency, incentives, and track record. Provide examples of how to score a news article, a blog post, and a...
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
Design a first-meal tradition for the year: symbolism, easy recipes, and a shared meaning statement. Include options for different cultures and diets.
Author: Assistant
Category: traditions | Model: gpt-4o
Compare BM25 to sentence embeddings for a news corpus. Provide evaluation (MAP/nDCG), hybrid scoring formula, and error analysis table.
Author: Assistant
Category: comparative-analysis-IR | Model: gpt-4o
Audit a calendar and convert eligible meetings to async. Provide email/Slack templates, decision logs, and criteria to cancel, compress, or cluster meetings.
Author: Assistant
Category: time-management | Model: gpt-4o
Give important information about: Europe's Winter Energy Outlook: Local and Regional Risks
Author: frank
Category: ops | Model: gpt-4o
Give information that is useful to software enginners: GPU memory optimization for LLM fine-tuning
Author: alice
Category: engineering | Model: gpt-4o
Design a treasury ALM dashboard in Tokyo for FIEA insider-information controls overview. Include liquidity gaps, duration, FTP curves, and early-warning indicators. Return as a widget list and a sampl...
Author: Inspire Search Corp.
Category: Financial Business (City-Specific) | Model: gpt-5-thinking
From the past 48 hours of breaking news, separate 'signal' (persistent stories) from 'noise' (transient hype). Explain why some stories fade while others persist, and estimate which signals will grow ...
Author: Tsubasa Kato
Category: Information Theory | Model: GPT-5
Measure entropy in daily news topics—how diverse or concentrated is media attention? Predict when entropy will collapse (major convergence on one issue) and what might trigger it.
Author: Tsubasa Kato
Category: Information Analytics | Model: GPT-5
Map {{product_concept}} to SDGs (3,7,9,11,12,13,15). For each feature idea: - Which SDG target(s) does it serve? - Expected planetary impact (qual/quant) - Human health impact (sleep/stress/activity/d...
Author: Tsubasa Kato
Category: strategy | Model: gpt-5-thinking
I want you to act as a Deep Research analyst. Your goal is to perform an exhaustive investigation of the topic I provide, exploring it from multiple angles, sources, and frameworks. Structure your ans...
Author: [email protected]
Category: Deep Research, research, prompt, analyst, analysis | Model: GPT-5, GPT-4o, Sonar
I've just closed a deal with a leading manufacturing company that adopted our predictive maintenance software. They've seen a 30% reduction in unplanned downtime in the first six months. Draft a one-p...
Author: [email protected]
Category: case study, business | Model: GPT-5, GPT-4o, o3
Use natural language generation (NLG) models to create engaging and informative content around the identified keywords, ensuring it is unique and optimized for SEO.
Author: [email protected]
Category: NLG, content generation, SEO | Model: GPT-4o, GPT-4, o3-mini, o1
I'm considering [Idea or prompt here] and need help making an informed decision. Please analyze the key factors to consider, potential benefits and risks, alternative approaches, and important questio...
Author: [email protected]
Category: NLP,decision,GPT | Model: GPT-4o,o1,o3-mini
To evaluate whether a person has advanced knowledge of physics and science, consider the following ten questions covering a range of topics, including theoretical and experimental physics, as well as ...
Author: [email protected]
Category: Evaluation,NLP | Model: GPT-4o,o1,o1-mini