Showing results for "news fusion"
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
Develop a governance and funding decision framework for evaluating when and how public or regulatory support for news media and niche broadcasters should be deployed in a digital economy. Address trad...
Author: Curioprompt
Category: Economics | Model: gpt-5-nano
Design two operating modes: news (high freshness, fast) vs evergreen (depth, books/papers). Include different source scoring, caching, and output formats.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Design a freshness strategy for research: recency-aware search, change detection, and update alerts. Include how to present “as of” dates and avoid outdated claims.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Produce a deep dive on one company or theme: business model, KPIs, competitive position, key risks, and upcoming catalysts. Provide a ‘what would change my mind’ section and source list guidelines.
Author: Assistant
Category: analysis | Model: gpt-4o
Design a crisis monitoring plan: sentiment shifts, complaint volume, supply chain chatter, regulator mentions, and employee signals. Provide escalation thresholds and a comms ‘holding statement’ decis...
Author: Assistant
Category: news-ops | Model: gpt-4o
Design a real-time alerting system for breaking news: keyword sets, entity lists, source tiers, velocity thresholds, and de-duplication rules. Provide a triage workflow (green/yellow/red) and a playbo...
Author: Assistant
Category: news-ops | Model: gpt-4o
Generate an internal memo format used by high-performing newsrooms and corporate intel teams: what we know, what we don’t, key assumptions, next actions, and owners with timestamps.
Author: Assistant
Category: news-ops | Model: gpt-4o
Design a materiality filter for market-moving news: what counts as material, how to confirm, how to avoid overstatement, and how to write risk-labeled headlines. Include a compliance-friendly checklis...
Author: Assistant
Category: analysis | Model: gpt-4o
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
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
Produce a daily 1-page Morning Intelligence Brief tailored to my sector and audience (Fortune 500 execs, TV newsroom, radio producers). Include: top 10 developments, why it matters, likely next moves,...
Author: Assistant
Category: news-ops | Model: gpt-4o
Build a regulatory early-warning system: agencies to monitor, consultation periods, enforcement trends, and docket tracking. Provide a ‘regulatory risk memo’ template for corporate and newsroom audien...
Author: Assistant
Category: collection | Model: gpt-4o
Build a beat-specific social listening map: platforms to watch, search operators, hashtags, community hubs, and influential accounts. Provide query packs for: business, tech, disasters, consumer trend...
Author: Assistant
Category: collection | Model: gpt-4o
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
Create a weekly pipeline review process: leads list, evidence status, next actions, owners, and deadlines. Include a standard for dropping weak leads and a reminder to follow legal/ethical boundaries.
Author: Assistant
Category: news-ops | Model: gpt-4o
Design a post-publish loop: monitor new facts, track corrections, update timestamps, and communicate changes across platforms. Include a correction template and an internal audit trail.
Author: Assistant
Category: news-ops | 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
Create a prioritization rubric for assigning coverage: public impact, novelty, proximity, evidence strength, audience relevance, and resource cost. Output a daily standup agenda and decision log forma...
Author: Assistant
Category: news-ops | Model: gpt-4o
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
Design a lesson framework using news texts while staying neutral and age-appropriate. Focus on skills (summarizing, stance, evidence) and include sensitivity guidelines.
Author: Assistant
Category: language-teaching | Model: gpt-4o
Build a calendar of events that reliably generate news: earnings, product events, regulatory deadlines, court dates (public), conferences, and macro data releases. Include reminder rules and pre-brief...
Author: Assistant
Category: collection | Model: gpt-4o
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
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
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
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
Draft an ethical and legal checklist for pursuing exclusives: what is permissible to collect, consent boundaries, no doxxing, no hacking, attribution standards, and escalation to legal/editorial. Incl...
Author: Assistant
Category: governance | Model: gpt-4o
Create a harm-minimization checklist: avoid naming private individuals unnecessarily, avoid sharing operational details that enable harm, and use responsible framing. Provide examples and escalation g...
Author: Assistant
Category: governance | Model: gpt-4o
Generate an interview question set for a breaking story: 10 factual clarifiers, 10 accountability questions, 5 ‘show me evidence’ prompts, and 5 future-looking questions. Include follow-up branches ba...
Author: Assistant
Category: production | 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
Design a time-decay model that boosts fresh, authoritative sources. Include publisher priors, sitemap/news bias, and re-crawl triggers. Output evaluation with time-split test sets.
Author: Assistant
Category: ranking-freshness | Model: gpt-4o
Specify a KG-augmented RAG: entity/link extraction → KG lookup → vector recall → late fusion ranking. Provide ranking features (entity overlap, path length), and a sample Gremlin/SPARQL query pack.
Author: Assistant
Category: hybrid-retrieval-kg | Model: gpt-4o
Measure competitors’ brand pillars and sentiment across social, forums, and news. Produce share-of-voice charts and a message-market fit gap analysis.
Author: Assistant
Category: brand-analytics | Model: GPT-5.1
Goal: surface Japan small/mid‑cap opportunities with catalysts. Perplexity: find activist campaigns, governance reforms, and local press mentions; provide links. Bloomberg: EQS<GO> filters (market cap...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: identify sector rotation and factor tilts. Perplexity: compile recent sector leadership drivers and factor (value/growth/quality) narratives; capture catalysts. Bloomberg: EQS<GO> to screen sect...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Combine Perplexity's trending data, Google News, and social feeds to generate multi-source weighted predictions on the next 48h headline topics.
Author: Tsubasa Kato
Category: Hybrid Analytics | Model: GPT-5
Measure mood swings in cultural, entertainment, and lifestyle news. Predict social sentiment reversal points and their potential impact on consumption patterns.
Author: Tsubasa Kato
Category: Cultural Analytics | Model: GPT-5
Monitor keyword drift across 7 days of news. How do certain phrases (e.g., 'climate tech', 'AI ethics') shift in association? Predict future narrative framing.
Author: Tsubasa Kato
Category: Language Modeling | Model: GPT-5
From tech and science news, detect weak signals of breakthrough innovations. Assign readiness level and forecast adoption timeline.
Author: Tsubasa Kato
Category: Tech Foresight | Model: GPT-5
Take the biggest headline of today and ask: what would happen if its opposite occurred? Analyze implications and likelihood of such reversal.
Author: Tsubasa Kato
Category: Strategic Thinking | Model: GPT-5
Create a graph of how different news events are interconnected via shared entities (companies, politicians, countries). Highlight hidden links and potential cascade effects.
Author: Tsubasa Kato
Category: Data Journalism | Model: GPT-5
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
Gather today's top 20 global news items from multiple sources (Perplexity, Reuters, Bloomberg, NHK) and build a matrix of topics, frequency, and sentiment. Identify which 3 trends are accelerating fas...
Author: Tsubasa Kato
Category: Trend Analysis | Model: GPT-5
Identify top 10 influencers shaping narratives across news and social media. Quantify their directional impact on public opinion and predict whose voice will dominate next.
Author: Tsubasa Kato
Category: Influence Mapping | 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
Use daily global headlines to produce a ranked list of emerging risks by impact and likelihood. Provide early warning for possible black-swan developments.
Author: Tsubasa Kato
Category: Risk Intelligence | Model: GPT-5
Trace how a trending topic (e.g., AI regulation) evolves in tone, framing, and sentiment over a week. Predict how it will mutate next and why.
Author: Tsubasa Kato
Category: Trend Dynamics | Model: GPT-5
Track mentions of artificial intelligence across sectors. Quantify growth rate and predict when it will saturate or move into new narrative phases.
Author: Tsubasa Kato
Category: AI Analytics | Model: GPT-5
Optimize on-device inference for {{model}} on {{chipset}}. Techniques: quantization (int8/4), sparsity, operator fusion, caching, batching, scheduler tweaks. Report latency/energy tradeoffs and a roll...
Author: Tsubasa Kato
Category: performance | Model: gpt-5-thinking
Generate a highly engaging and shareable social media thread or post that summarizes the latest news and trends as of September 12, 2025. Focus on key topics like potential US interest rate cuts from ...
Author: Grok
Category: news | Model: grok-4
You’re a global news creator. Craft a 3-tweet thread on Trump’s 100% semiconductor tariffs and their global impact. Mention chip stock rises. Use #TrumpTariffs, #TechNews, and 📉 emojis. Ask 'Will tari...
Author: Grok by xAI
Category: social media | Model: grok4
As a tech news creator, write a 4-tweet thread on India’s semiconductor push, including the Vikram chip and $1T market goal. Use #IndiaTech, #Semicon2025, and 💻 emojis. Ask 'Can India lead global tech...
Author: Grok by xAI
Category: social media | Model: grok4
You’re a political news creator on X. Write a 3-tweet thread on the US court ruling blocking Trump’s use of the Alien Enemies Act for deportations. Explain its impact with a neutral tone. Use #TrumpNe...
Author: Grok by xAI
Category: social media | Model: grok4
Act as an expert business development representative for a Fortune 500 tech company specializing in cloud infrastructure. Our target customer is a medium to large enterprise in the financial services ...
Author: [email protected]
Category: business, sales, enterprise | Model: GPT-5, GPT-4o, GPT-4.5
Story Prompt: On the planet Madoopalus, where the lines between sorcery and science are blurred, Yara Wexley is the last heir to a dynasty of techno-wizards who rule with fear and power. Raised amo...
Author: [email protected]
Category: story, prompt,story prompt, hobby | Model: GPT-4o,o3-mini,o1
日本全国の主要新聞、テレビ、オンラインニュースから毎日話題となっている最新のトップニュースを教えてください。そのニュースの詳細を簡潔にまとめ、なぜそのニュースが注目されているのかを3つのポイントで説明してください。
Author: [email protected]
Category: news | Model: chatgpt 4o
Analyze the latest news articles (last 24 hours) related to the semiconductor industry. Identify key trends, emerging players, and potential investment opportunities.
Author: Business Analyst
Category: Business | Model: GPT-4