Showing results for "regression-suite"
Examine a comprehensive governance framework for dual-use AI that can design novel biological agents. Identify risk categories (biosecurity, safety, dual-use misuse), governance layers (research scree...
Author: Curioprompt
Category: Technology | Model: gpt-5-nano
Examine the use of artificial intelligence in public institutions such as courts, hospitals, and administrative agencies. What tasks are best suited for automation or decision support, and which shoul...
Author: Curioprompt
Category: Technology | Model: gpt-5.4-mini
Humanoid robots are being tested in industrial production. Evaluate where human-shaped robots actually make economic sense compared with specialized machines or software automation. What tasks are bes...
Author: Curioprompt
Category: Technology | Model: gpt-5.4-mini
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
Create a test selection algorithm that runs only relevant tests for a diff but guarantees critical coverage (safety suite always runs). Include calibration and drift checks.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Build a dependency graph indexer and an impact analyzer that estimates blast radius of a change and picks appropriate test suites and reviewers.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design characterization tests for legacy code before refactoring: capture I/O behavior, edge cases, and performance baselines. Use them as a gate for changes.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create an agent that turns bug reports into minimal reproducible cases, adds regression tests, and proposes fixes. Include a triage rubric and severity mapping.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Create a safety regression suite for tool-using agents: prompt injection tests, permission misuse tests, and data leakage tests. Gate deployments on this suite.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design golden tests for key outputs and an agent that compares before/after behavior. Include tolerance rules and how to prevent “golden drift” over time.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design an agent that expands benchmarks as new features land: add workloads, track performance trends, and alert on regressions. Include benchmark governance.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Build a refactoring agent that only changes code when it can show measurable gains (latency, memory, error rate). Include baseline capture and regression detection.
Author: Assistant
Category: safe-self-improving-ai | Model: gpt-5.2
Design defenses against prompt injection for tool-using agents: content provenance, allowlists, tool policy, and sandboxing. Include a suite of adversarial prompts for regression testing.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design an evaluation strategy that avoids overfitting: holdouts, rotating test sets, adversarial sets, and blind evaluation. Include rules for when to refresh benchmarks.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a safety regression suite: prompt injection tests, data leakage tests, refusal/guardrail tests, and policy adherence checks. Include how to maintain and evolve the suite over time.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Create a post-mortem template tailored to AI regressions: data/prompt/model diffs, evaluation gaps, monitoring misses, and remediation tasks. Include a ‘lessons to tests’ section.
Author: Assistant
Category: recursive-ai-safety | Model: GPT-5.2
Design a sanitization pipeline for retrieved content: strip instructions, isolate quotes, and prevent tool-use hijacks. Include adversarial test cases and regression suite.
Author: Assistant
Category: research-bot | 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
Create operational runbooks: common failures, triage steps, rollback, and user comms. Include SLO breaches, tool outages, and prompt regressions.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create a defense plan against prompt injection when agents consume untrusted text: content provenance, instruction isolation, and safe tool policies. Provide a red-team test suite.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design a CI pipeline for hardware: lint rules, CDC checks, reset checks, basic formal proofs, and regression simulation tiers. Include pass/fail gates and artifact retention for debug.
Author: Assistant
Category: fpga-asic-design | Model: gpt-4o
Create a benchmark suite that measures planning quality, tool-call correctness, and end-to-end success. Include scoring rubrics, difficulty tiers, and anti-overfitting practices.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Design layered guardrails: policy rules, tool allowlists, output filters, and human escalation. Include regression tests to prevent guardrail drift during iterations.
Author: Assistant
Category: agent-architecture | Model: GPT-5.2
Create an eval-first LLMOps design: golden sets, adversarial tests, continuous regression, cost/latency tracking, and release gates. Include a ‘model change control’ policy.
Author: Assistant
Category: ai-strategy-2026 | Model: gpt-4o
Create a quantization evaluation suite (GPTQ/AWQ/RTN): perplexity, zero-shot accuracy, calibration set selection, and layer-wise sensitivity. Output deployment guidelines by architecture and hardware ...
Author: Assistant
Category: model-compression-LLM | Model: gpt-4o
ChatGPT drafts prompts and adversarial tests; Cursor integrates an eval harness; Antigravity schedules nightly evals and posts regressions with diffs. Include versioning and approval flow.
Author: Assistant
Category: mlops-llm-quality | Model: gpt-4o
Given a product brief, have ChatGPT write acceptance criteria and test outlines, ask Cursor to generate unit/integration tests and the minimal code, then let Antigravity agents execute the suite and o...
Author: Assistant
Category: quality-engineering | Model: gpt-4o
Build an eval that scores ground-truth attribution (exact passage match), answer faithfulness, and coverage. Provide dataset schema and a nightly regression plan.
Author: Assistant
Category: evaluation-frameworks | Model: gpt-4o
Define performance budgets and benchmarks; ChatGPT proposes profiling plan; Cursor instruments code (e.g., pprof/Flamegraphs); Antigravity runs load tests, flags regressions, and files targeted PRs. O...
Author: Assistant
Category: performance-engineering | Model: gpt-4o
Act as a meta-analyst. Provide a DerSimonian–Laird vs REML plan, heterogeneity measures, subgroup/meta-regression, and publication bias checks (funnel/Egger/trim-and-fill).
Author: Assistant
Category: biostats-methods | Model: gpt-5
Define a push-button signoff pipeline: reproducible EDA containers, golden rule decks, regression checklists, run orchestration, artifact retention, and ECO automation for timing/IR/DRC. Output a CI/C...
Author: Assistant
Category: chip-design | Model: gpt-4
Provide a timing ECO guide: buffer sizing rules, cell Vt swaps, re-route constraints, shielding for aggressors, hold-fix ordering, and checks to avoid IR/EM regression. Include a before/after metrics ...
Author: Assistant
Category: chip-design | Model: gpt-4
Define a benchmarking suite for variational algorithms: datasets, seed control, metrics (energy error, convergence time), and reproducibility notes. Output: CSV spec (metrics) and YAML (suite config).
Author: Curioforce Corp. Corp.
Category: Quantum Tech | Model: gpt-5-thinking
You are a robotics CI lead. Design a sim-in-the-loop pipeline for perception + planning stacks. Deliver: scenario library spec (lighting, occlusion, rare edge cases), metrics (success %, collision=0, ...
Author: Tsubasa Kato
Category: Engineering | Model: GPT-5 Thinking
Plan a simulation for a safe pick-and-place arm in a workshop. Deliver: kinematics, obstacles, planner choice (RRT*/PRM), KPIs (cycle time, collisions=0), digital twin setup, HMI cues. Output: scene f...
Author: Tsubasa Kato
Category: Simulation | Model: GPT-5 Thinking
Create a science fiction adventure set on Mars centered around two teenage protagonists, Kael and Lyra, who uncover a hidden signal beneath Olympus Mons. The story explores their emotional journey, th...
Author: [email protected]
Category: story,story plot,Mars,space,science fiction | Model: GPT-4o,o3-mini,o1
