Showing results for "distributed computing"
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
Analyze how mega-science installations and international research partnerships influence a nation's long-term innovation trajectory, funding models, talent pipelines, technology transfer, and diplomat...
Author: Curioprompt
Category: Science | Model: gpt-5-nano
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
Create a decision-support framework for evaluating public incentives aimed at attracting foreign tourists. Include economic impact analyses, distributional effects on host communities, environmental s...
Author: CurioPrompt
Category: Economics | Model: gpt-5-nano
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
Help me design better handheld ergonomics: grip angles, trigger reach, thumbstick placement, center of mass, and fatigue reduction. Provide a measurement checklist.
Author: Assistant
Category: handheld-pc-makers | Model: GPT-5.2
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
Create a 7-day go-to-market launch plan for an AI-native product: ICP, positioning, demos, distribution channels, and measurement. Include guardrails against hype marketing.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Explain defensibility strategies when code and design are cheap: distribution, data rights, integrations, brand trust, regulatory advantage, and physical-world constraints. Provide examples.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a plan to win attention ethically post-AGI: distribution channels, community loops, personalization boundaries, and brand voice. Include guardrails to avoid manipulation.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a product plan for professional branding: positioning, content pipeline, and distribution scheduling. Include guardrails to avoid inauthentic spam and pricing tiers.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create a playbook for building partnership moats: platform integrations, revenue share deals, certification programs, and co-marketing. Include negotiation scripts and KPIs.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Create calm, non-alarmist preparedness products: checklists, planning tools, and family coordination. Include ethical messaging and partnerships for distribution.
Author: Assistant
Category: future-monetization | Model: gpt-5.2
Design a micro-SaaS generator pipeline: idea selection, MVP build, pricing test, distribution, and kill/scale rules. Include a weekly launch checklist.
Author: Assistant
Category: future-monetization | 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
Design drift detection: changes in user queries, outcome distributions, error types, and model behavior. Include thresholds and a playbook for when drift is detected.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Define monitoring signals: policy violations, anomaly detection, tool misuse attempts, unusual output distributions, and drift. Provide alert thresholds, runbooks, and an on-call playbook.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Provide a modding roadmap: tooling, version control, testing, distribution etiquette, and respecting game/community rules. Keep it high-level and do not advise breaking ToS.
Author: Assistant
Category: gaming-metaverse | 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
Diagnose steering or handling complaints: vague steering, head shake, tramlining, understeer/oversteer, wobble, or poor turn-in. Include checks for tires, alignment, bearings, suspension, frame/fork c...
Author: Assistant
Category: vehicle-engineering-mechanics | Model: GPT-5.2
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
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
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
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
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
Define observability: token usage distributions, tool call success, citation density, and hallucination alerts. Provide redaction-safe logs and dashboards.
Author: Assistant
Category: platform-observability-LLM | Model: gpt-4o
Design an expert-parallel MoE serving topology: gate calibration, capacity factor, expert sharding, and interconnect constraints (NVLink/IB). Provide hot-spot diagnostics and expert-drop policies for ...
Author: Assistant
Category: distributed-systems-LLM | 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
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
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
Benchmark festival premieres and pre-sales patterns for competitors. Suggest territories, MG expectations, and deliverables timeline.
Author: Assistant
Category: sales-strategy-film | Model: GPT-5.1
Map retail and hardware competitors’ channels: direct, marketplace, VAR/SI, carrier. Provide region coverage, margin estimates, and MDF practices. Recommend 3 counter-channel moves.
Author: Assistant
Category: go-to-market | Model: GPT-5.1
Compare release windows and monetization ladders of rival studios or platforms. Model revenue curves and churn effects. Recommend optimal windowing for our slate.
Author: Assistant
Category: distribution-strategy-film | Model: GPT-5.1
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
Create a quarterly content calendar (whitepapers, webinars, case studies) with translation plan, SME interview scripts, and distribution (LinkedIn/YouTube/LINE). Include MQL→SQL mapping.
Author: Assistant
Category: content-marketing-B2B | 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 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 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
Act as a copy lead. Provide a modular press release template with placeholders, boilerplate library, quote variations, and localization notes (EN/JP/DE). Include a checklist for wire distribution vs o...
Author: Assistant
Category: PR | 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
Propose a mmWave beamformer: phase shifter topology, PA/LNA linearity targets, NF, LO distribution, antenna-in-package constraints, calibration loops, and EVM/ACL metrics. Provide layout isolation gui...
Author: Assistant
Category: chip-design | Model: gpt-4
Give guide for software engineers for: Multi-GPU sharding and parallelism strategy
Author: grace
Category: research | Model: gpt-4o-mini
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
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | Model: gpt-5-thinking
Define stochastic inputs for {topic} and run a Monte Carlo design outline. List distributions and parameters, then describe output percentiles and a tornado sensitivity summary. Explain how many trial...
Author: Inspire Search Corp.
Category: Manufacturing Costing | 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: 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
Analyze the top {n} products/creators in {space}. Create side‑by‑side teardown: Audience, Content Pillars, Hook Types, Offer/Monetization, Distribution, Strengths, Weaknesses, Moat Signals. Identify w...
Author: Tsubasa Kato
Category: Market Research | Model: gpt-5
Create a market map for {space}. Buckets: Infra, Tooling, Apps, Services, Community. Propose a 0‑100 scoring rubric with weights for Momentum, Distribution, Moat, Team, Signal Quality. Score {entities...
Author: Tsubasa Kato
Category: Market Research | Model: gpt-5
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
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
Create an LCA-first plan for {{product_concept}} across stages: materials → manufacturing → distribution → use → end-of-life. Include: hotspots, avoidance strategies, modularity, repairability, recycl...
Author: Tsubasa Kato
Category: lifecycle | 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 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
Propose a GTM checklist that aligns platform distribution and data access practices with evolving EU platform rules. Focus on marketplace dependence, data portability messaging, and partner co-marketi...
Author: ChatGPT
Category: business | Model: gpt-5
Create a content system that turns one webinar into 20 assets (blogs, carousels, short videos, case studies) tailored for JP/US/EU channels.
Author: ChatGPT
Category: business | Model: gpt-5
Produce a Japan market entry checklist: language/UX localization, payments (credit, convenience store, PayPay), support hours, cultural norms, and distribution options.
Author: ChatGPT
Category: business | Model: gpt-5
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
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
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
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