Showing results for "green-computing"
Analyze the role of national supercomputing infrastructure in advancing homegrown research, defining governance of intellectual property, and building resilience against external dependencies; compare...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Analyze how advances in AI model efficiency, compute costs, and competition among cloud providers influence pricing, feature bundling, and service strategies. Build a framework to evaluate when price ...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
A mid-century modern fashion editorial photo from 1963. A model poses next to a sleek, retro-futuristic lounge chair inside a minimalist concrete and glass pavilion. Shot on 120mm medium format Fujifi...
Author: [email protected]
Category: Image, Photo, model | Model: Flux, Gemini
You are the ultimate Authority on Italian Fashion Industry Strategy, a blend of a master artisan, a global market strategist, and an industrial policy consultant specializing in the *Made in Italy* se...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
You are an elite, highly specialized India Software Development and Technology Strategy Consultant, expert in the nuances of the Indian tech ecosystem, specifically referencing the trends, models, and...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
Generate a bill-of-materials template for a handheld build: compute, display, controls, battery, cooling, enclosure, fasteners, and tools. Include cost and risk columns.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
Design products for low-bandwidth contexts: offline-first, SMS/USSD, low compute. Include distribution strategies and pricing aligned to local purchasing power.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design cost controls: budget caps, queue prioritization, cache policy, and abort rules for expensive runs. Include a method to estimate ROI of improvements before executing.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design incremental crawling: store ETags/Last-Modified, compute diffs, and update indexes incrementally. Include pitfalls and how to handle missing headers.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Map a compute kernel onto a systolic array: dataflow, tiling, reuse, boundary handling, and I/O streaming. Provide RTL-level interface plan and performance model.
Author: Assistant
Category: fpga-asic-design | 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
Provide a guide to train class differences in Asia/Europe/USA: comfort, quiet, seat reservations, and flexibility. Include when upgrades are high ROI and when they’re not.
Author: Assistant
Category: smart-ticketing | Model: gpt-4o
Create a pre-publish QA checklist: claims requiring sources, sensitive statements, legal/compliance notes, and brand safety. Provide a ‘red/yellow/green’ scoring rubric and remediation steps.
Author: Assistant
Category: content-generation-2026 | Model: gpt-4o
Create a physical AI roadmap for 2026: use cases, safety constraints, simulation strategy, edge compute needs, and incident handling. Include a phased pilot plan with success criteria.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Design a reference architecture using confidential computing: what runs in TEEs, key management, attestation flows, data minimization, and performance tradeoffs. Include threat model and rollout plan.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Compare building vs renting an AI supercomputing platform: capacity planning, capex/opex, utilization, networking, storage, and governance. Provide a 3-scenario cost curve and decision criteria.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Analyze a funnel dataset: compute conversion, churn, and cohort retention. Produce executive takeaways and test ideas.
Author: Assistant
Category: data-driven-marketing-MBA | Model: gpt-4o
Compute a rivalry ‘heat index’ from point differential, playoff stakes, penalties, and fan sentiment. Release a carousel with receipts and a comment bait question.
Author: Assistant
Category: rivalry-analytics-social-bait | Model: gpt-4o
Compare EU green subsidies with US/Asia rivals. Provide company caselets (batteries, solar, hydrogen) and a capex relocation watchlist.
Author: Assistant
Category: industrial-policy-coverage-EU | Model: gpt-4o
Track COP follow-ups: NDC updates, carbon border adjustments, ETS linkages, and green subsidy races. Provide company impact sidebars for autos/steel/chemicals.
Author: Assistant
Category: climate-policy-industry-bridge | Model: gpt-4o
For a Franca footwear plant, balance a stitching/assembly cell. Time stations, compute takt, rebalance work, and propose a U-line with cross-training matrix. Output a daily andon board layout.
Author: Assistant
Category: production-engineering | Model: gpt-4o
Generate a sanctions/trade-flow update across BRICS: new measures, tariff shifts, mirror-trade anomalies, and transshipment routes via third countries. Deliver a red/amber/green risk map with three st...
Author: Assistant
Category: policy-trade | Model: gpt-4o
ChatGPT outlines blue/green and canary strategies; Cursor codifies health checks and probes; Antigravity automates traffic shifting and alerting. Provide a failure playbook.
Author: Assistant
Category: availability-engineering | Model: gpt-4o
Define a modular avionics stack (navigation, comms, flight control computers) and a pilot HMI for single-pilot ops. Provide alerting philosophy, failure modes, and a training outline.
Author: Assistant
Category: avionics-systems | Model: gpt-4o
ChatGPT summarizes modules and ownership; Antigravity agents compute churn/complexity; Cursor annotates hotspots with TODOs and tests. Output a top-10 refactor list.
Author: Assistant
Category: code-intelligence | Model: gpt-4o
For retail rivals, compute store density vs population and transit nodes. Estimate catchment overlap with us. Output cannibalization risks and new-store priority cells.
Author: Assistant
Category: location-analytics | Model: GPT-5.1
Recommend greener swaps such as train over short-haul flights, city bikes, reusable bottles, and eco-stays. Add a CO2 estimate table.
Author: Assistant
Category: green-travel-tips | Model: gpt-4o
Given attractions and stay length, compute break-even for city passes vs pay-as-you-go. Include skip-the-line and transit value assumptions. Output a yes or no verdict with reasoning.
Author: Assistant
Category: budget-optimizer | Model: gpt-4o
Write a CLI to print hex dump, compute hashes (MD5/SHA-256), and verify checksum files. Flags: --hexdump, --hash sha256, --verify checksums.txt. Include binary/CRLF caveats.
Author: Assistant
Category: cli-tool | Model: gpt-4o
You are a wellbeing lead. Create personal and unit-level micro-resets, debrief rituals, coverage norms, and a resource map. Include a self-check dashboard (red/amber/green).
Author: Assistant
Category: workforce-health | Model: gpt-5
You are a biostatistician. Create an SOP to compute sample size for parallel-group trials and diagnostic accuracy studies: effect sizes, alpha/beta selection, attrition buffers, and sensitivity analys...
Author: Assistant
Category: biostats | Model: gpt-5
Act as a sustainability lead. Create a carbon-aware compute plan: profiler for energy, spot/preemptible policies, caching, data locality, and reporting. Include a ‘green score’ rubric.
Author: Assistant
Category: HPC-ops | Model: gpt-5
Act as a sustainability lead. Outline eco-friendly materials, shipping reductions, power usage, waste stations, and carbon offset options. Provide a “green choices” placard copy.
Author: Assistant
Category: trade-show | Model: gpt-4o
You are a wellbeing strategist. Define burnout early-warning signs, micro-reset techniques for trains, and weekly recovery rituals. Provide a personal 'red/yellow/green' dashboard.
Author: Assistant
Category: wellness | Model: gpt-5
Act as a mobile coach. Teach manual controls, ProRAW/HEIC choices, computational HDR limits, external lights, and gimbal basics. Provide a mobile-only content kit list.
Author: Assistant
Category: photography | Model: gpt-4o
You are a data lead. Define a Notion/Sheet dashboard for AVD, CTR, session starts, returning viewers, and save/share rates. Provide red/amber/green thresholds and weekly action prompts.
Author: Assistant
Category: creator | Model: gpt-4o
Act as a web-compute mentor. Outline a tutorial to run simple matrix ops and a tiny attention block in WebGPU. Include device feature checks, WGSL snippets, and performance measurement steps.
Author: Assistant
Category: software | Model: gpt-4o
Act as a CEO coach. Design a 90-day operating cadence for a visionary startup CEO: define north-star metric, 3 company-level objectives, 6 key results, weekly executive meeting agenda, monthly board u...
Author: tsubasa
Category: leadership | Model: gpt-4o
Propose how to split compute between CPU, GPU, and QPU for a variational algorithm. Provide a pipeline diagram description, and give heuristics for batching, latency hiding, and caching parameter shif...
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
Catalog 10 green roofs/elevated parks in Berlin, Germany. Add skyline alignments and mid‑day shade angles.
Author: Inspire Search Corp.
Category: Travel Photography (Europe) | Model: gpt-5-thinking
Curate a Prague, Czechia color hunt: RED, BLUE, GREEN, NEON. For each color, propose 5 locations and a micro‑brief (what to exclude, background separation tip). Return as JSON with keys color→[{"place...
Author: Inspire Search Corp.
Category: Travel Photography (Europe) | Model: gpt-5-thinking
Goal: analyze onboarding paths with Markov Chains. Data: event sequences for new users first 7 days. Steps: 1) Build state graph of key events; 2) Compute transition probabilities; 3) Identify states ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: analyze cohort retention and power-user curve. Data: GA4 users and events, subscription logs if applicable. Steps: 1) Build weekly cohorts by first_visit; 2) Compute W1–W12 retention; 3) Plot po...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: diagnose funnel drop-offs for {GOAL_EVENT}. Data: GA4 BigQuery events with event_params. Steps: 1) Construct funnel steps; 2) Use event timestamps to compute step conversion; 3) Segment by devic...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: audit source/medium quality and UTM hygiene for {START_DATE}–{END_DATE}. Data: GA4 BigQuery export `{PROJECT}.{DATASET}.events_*`, ad platform logs, server-side UTMs. Steps: 1) Classify sessions...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Goal: analyze FX carry and policy divergence among BoJ/Fed/ECB. Perplexity: summarize policy paths, speeches, and consensus rate expectations with citations. Bloomberg: FXIP<GO> dashboard, ECO<GO> for...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: understand cross‑asset correlation shifts. Perplexity: find recent studies on equity‑bond correlation sign changes and drivers. Bloomberg: GP<GO> to plot rolling 60d/120d correlations (equities,...
Author: Tsubasa Kato
Category: Market Analysis | Model: GPT-5 Thinking
Goal: detect rising credit stress ahead of equities. Perplexity: gather narratives on HY spreads, default cycles, bank lending surveys. Bloomberg: SRCH<GO> to list HY bonds, YAS<GO> for spread/yield c...
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
Write a GenAI prompt for a robotics engineer to optimize edge computing workloads on the latest NVIDIA A100 GPUs, ensuring seamless integration with robotic systems.
Author: Prompt Generator
Category: Tech/Engineering | Model: llama3.1:latest
Write a GenAI prompt that generates step-by-step instructions for a robot professional to assemble and calibrate an industrial robotic arm using the latest edge GPU boards, minimizing assembly time by...
Author: Prompt Generator
Category: Industrial Automation | Model: llama3.1:latest
Develop a GenAI workflow that leverages the processing power of edge GPU boards to optimize robotic task execution, including real-time data analysis and decision-making. Consider integrating with lat...
Author: Prompt Generator
Category: Robotics/AI | Model: llama3.1:latest
Develop a GenAI prompt that integrates robotic process automation, computer vision, and edge computing to streamline inspection tasks on factory floors using NVIDIA's latest Ampere-based GPU boards.
Author: Prompt Generator
Category: GenAI for Industry | Model: llama3.1:latest
Describe a workflow to optimize simulation scenarios on an HPC cluster, minimizing computational resources and maximizing accuracy. Please provide: - A step-by-step process for selecting suitable alg...
Author: Prompt Generator
Category: Supercomputing | Model: llama3.1:latest
Describe the process of optimizing a parallel algorithm for exascale computing, including strategies for reducing memory usage and increasing scalability. Provide examples of successful optimizations ...
Author: Prompt Generator
Category: Supercomputing | Model: llama3.1:latest
List 5 options for {{decision}}. Build a table scoring Impact, Cost, Speed, Risk, Enjoyment (1–5). Compute a weighted score (40,20,15,15,10). Recommend one option and a backup with first next step.
Author: ChatGPT
Category: Decision-Making | Model: gpt-5
Create a co-design program for {{city_or_region}} involving residents and SMEs. Plan: recruitment, consent, workshops, surveys, walk-alongs. Synthesize pain maps (heat, noise, walkability, green acces...
Author: Tsubasa Kato
Category: urban-planning | Model: gpt-5-thinking
Define a composite 'well-living' score for {{community_or_user_segment}} that blends: - Air/noise/light exposure proxies - Green space access - Activity and social connection signals (opt-in) - Digita...
Author: Tsubasa Kato
Category: analytics | Model: gpt-5-thinking
Write a pragmatic buying policy for {{org_size}}. Cover: energy star/EPEAT class, repairability scores, vendor take‑back, and recycled content minimums. Add an approval checklist that fits in one page...
Author: Tsubasa Kato
Category: governance | Model: gpt-5-thinking
If geospatial features exist, design overlays for green corridors, tree canopy, and sensitive habitats. Plan: data sources, caching, offline mode, and respectful UX. Add a policy to avoid enabling har...
Author: Tsubasa Kato
Category: geospatial | Model: gpt-5-thinking
Design perks that boost health and reduce footprint: commute stipends (bike/public), ergonomic kits, green cafeterias, movement breaks, and nature days. Add participation metrics and survey templates.
Author: Tsubasa Kato
Category: people-ops | Model: gpt-5-thinking
Design a carbon-aware scheduling policy for {{workload_type}} on {{cluster_desc}}. Include: - Grid carbon intensity inputs ({{region_codes}}) + renewable forecasts - GPU tactics: mixed-precision, quan...
Author: Tsubasa Kato
Category: architecture | Model: gpt-5-thinking
Propose energy-saving defaults and power modes for {{app_or_device}}. Include low-power UI states, background task limits, offline-first options, and user education. Add a toggle policy and telemetry ...
Author: Tsubasa Kato
Category: product | Model: gpt-5-thinking
Design a CI/CD pipeline that minimizes energy. Tactics: selective test runs, caching, artifact reuse, ephemeral environments, static analysis gates, and carbon-intensity-aware scheduling. Add SLOs and...
Author: Tsubasa Kato
Category: devops | Model: gpt-5-thinking
Propose an edge–cloud architecture for {{use_case}} to minimize data movement and energy. Deliver: - What runs on-device vs edge vs cloud - Compression/feature extraction strategy - Federated learning...
Author: Tsubasa Kato
Category: architecture | Model: gpt-5-thinking
Propose a data tiering strategy: hot/warm/cold/archive for {{data_types}}. Policies: TTLs, compaction, dedupe, compression, and green-region replication. Define SLOs and a deletion automation spec.
Author: Tsubasa Kato
Category: data-architecture | Model: gpt-5-thinking
Design a quantum circuit that performs the Deutsch-Jozsa algorithm with n qubits to solve an unbalanced function problem in less than O(2^n) time.
Author: Prompt Generator
Category: Quantum Engineering | Model: llama3.1:latest
Describe a method to optimize the following quantum circuit: H-QFT-H on 4 qubits, minimizing T-count and maximizing entanglement.
Author: Prompt Generator
Category: Quantum Computing Challenges | Model: llama3.1:latest
Design a quantum circuit that applies the Surface Code protocol to correct single-qubit errors in a logical qubit.
Author: Prompt Generator
Category: Quantum Computing | Model: llama3.1:latest
Describe the principles behind Surface Code and Shor code. How do they protect against decoherence? Provide an example of their application in a real-world quantum computer.
Author: Prompt Generator
Category: Quantum Computing | Model: llama3.1:latest
Write a Python script to create and optimize a quantum circuit implementing Shor's algorithm for factorizing large numbers. Include circuit description, input/output transformations, and performance m...
Author: Prompt Generator
Category: Quantum Computing | Model: llama3.1:latest
Write a detailed explanation of the principles and implementation of surface codes or Shor codes in the context of quantum computing, including their applications and limitations. Describe how these ...
Author: Prompt Generator
Category: Quantum Computing | Model: llama3.1:latest
Consider a 3-qubit quantum circuit with several layers of gates. The goal is to minimize the overall gate count while maintaining circuit fidelity. 1. Describe the original circuit structure and iden...
Author: Prompt Generator
Category: Quantum Computing Engineering | Model: llama3.1:latest
Create a high-level design for a quantum error correction protocol using surface codes, including the encoding and decoding procedures, and explain how it addresses noise in quantum computing.
Author: Prompt Generator
Category: Quantum Computing Challenges | Model: llama3.1:latest
Describe and diagram your approach to developing a practical error correction protocol for quantum computers. Assume a system with N qubits and account for common sources of error.
Author: Prompt Generator
Category: Quantum Computing Fundamentals | Model: llama3.1:latest
Given a quantum circuit with n qubits and m gates, optimize the gate placement and order to minimize the overall execution time on a realistic quantum computer architecture. Considerations: * Resourc...
Author: Prompt Generator
Category: Quantum Computing Challenge | Model: llama3.1:latest
For product <name>, compute unit economics: revenue mix, discounts, gross margin, CAC payback, LTV/CAC, and contribution margin. Recommend price tiers and packaging. Provide a waterfall from list to n...
Author: ChatGPT
Category: CFO | Model: GPT-5 Thinking
Compute roadmap prioritizes long-context video/software-gen AI. Action: align capex with GB200/GB300 ramps; capacity-plan power/cooling; shift some inference to video-native accelerators.
Author: ChatGPT
Category: Tech Strategy | Model: GPT-5 Thinking
Design a remanufacturing core loop. Deliver: core eligibility matrix, packaging, RMA portal UX, triage grading, and hazardous material handling notes. KPIs: core return %, days outstanding, recovery v...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Act as a datacenter reliability lead. Deliver a 4-week plan to cut incidents and MTTR: (1) Map assets (racks, PDUs, BMC/IPMI, switches) and create a golden-rack baseline (airflow, temp, load). (2) Bui...
Author: Tsubasa Kato
Category: Operations | Model: GPT-5 Thinking
Design a purely educational docking simulation plan with public PDB examples only. Deliver: objective, dataset list, feature extraction, baseline (shape complementarity), KPIs (rank@k), error analysis...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Summarize daily changes to cash runway from {{date_range}}. Include: new payables/receivables, burn changes, FX effects, big variances vs plan. End with runway months and red/green flags.
Author: Tsubasa Kato
Category: Finance | Model: gpt-5
A 10-second sequence of a runner dashing across an empty prairie as a wall cloud forms far behind. Camera: lateral tracking vehicle shot, 96fps slow-mo on footfalls; dust devils in distance. Moody gre...
Author: Assistant
Category: Action | Model: Sora
A 9-second macro upward shot from forest floor: raindrops form, swell, and fall from huge leaves, revealing tiny poison-dart frog blinking. Camera: rack focus leaf→frog→background waterfall bokeh. Sat...
Author: Assistant
Category: Nature | Model: Sora
Create a 9-second serene shot inside a dense bamboo forest as first light shafts scatter dust motes. Camera: gentle crane rise following a floating speck of dust. Soundscape implied birds and bamboo c...
Author: Assistant
Category: Nature | Model: Sora
You are an expert Go developer with a PhD in computer science, acting as a senior, curious, and detail-oriented pair programmer. You bring academic rigor and years of production experience in Go, with...
Author: [email protected]
Category: Programming, work | Model: GPT-4o, o4-mini, o4-mini-high, o1, o3
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
Research the emerging field of edge computing and its applications in IoT, autonomous vehicles, and other industries. Identify key players and potential investment opportunities.
Author: IoT Specialist
Category: Technology | Model: GPT-4
Analyze the impact of quantum computing on current encryption standards. Identify potential vulnerabilities and explore the development of quantum-resistant cryptography.
Author: Security Researcher
Category: Technology | Model: GPT-4
Compare and contrast the major serverless computing platforms (AWS Lambda, Azure Functions, Google Cloud Functions). Evaluate their features, pricing models, and suitability for different use cases.
Author: Cloud Engineer
Category: Technology | Model: GPT-4
Provide a comprehensive comparative analysis of the top 5 cloud computing providers (AWS, Azure, GCP, Alibaba Cloud, IBM Cloud) based on market share, revenue growth, service offerings, and customer s...
Author: Market Analyst
Category: Technology | Model: GPT-4