CommunityMar 1, 20262026-03-014 minVerified
Preventing Insider Betting on Prediction Markets in AI
How AI firms can treat insider betting in prediction markets: MNPI definitions, pre-clearance rules, and audit logging for evidence.
CommunityMar 1, 20262026-03-014 minVerified
Why Tiny Prompt Changes Can Break Robot Safety
How small prompt shifts can amplify into risky robot actions, and why alignment alone can’t guarantee physical safety.
TrustedFeb 28, 20262026-02-285 minVerified
Defense LLM Deployment: Redlines, Audits, and Liability Allocation
Examines OpenAI’s defense agreement: three redlines, verifiable safety controls, and contract-driven audit and liability allocation.
CommunityFeb 28, 20262026-02-284 minVerified
Stop Chasing AI Detection, Build Content QA Pipelines
“AI-sounding” content is mainly a QA failure: missing editing, verification, and accountability. Measure claims, cite sources, and document review.
TrustedFeb 25, 20262026-02-254 minVerified
AI Abuse Shifts From Text To Distribution TTPs
AI abuse is shifting from text generation to channel-linked TTPs. Defend with multi-signal detection and rapid takedowns plus appeals.
CommunityFeb 25, 20262026-02-254 minVerified
Bottlenecks Running 120B Local LLMs On 128GB
Explain 120B local LLM bottlenecks on 128GB: quantization, KV cache, context length, concurrency, and backend overhead.
CommunityFeb 25, 20262026-02-255 minVerified
Defense AI Procurement: Operations, Logging, Rights, And Incident Response
In defense AI procurement, operations win: deployment, access control, logging, retention, liability, plus DFARS 72-hour reporting and 90-day retention, and 5-year rights terms.
CommunityFeb 25, 20262026-02-254 minVerified
DoD AI Contracts: Audit Logs, Retention, Access Controls
DFARS 252.204-7012 can drive audit logging, 90-day retention, and forensic access requirements in DoD AI contracts.
CommunityFeb 25, 20262026-02-255 minVerified
Evaluating AI Anime Shorts: Temporal Consistency And Audio Sync
Assess AI anime shorts by separating temporal consistency and audio-video alignment using FVD, temporal corruption tests, ITU-T P.835, and LSE.
CommunityFeb 25, 20262026-02-254 minVerified
Managing Similarity Flags in Automated Content Moderation Systems
When AI text looks similar to works or sensitive events, automated enforcement may trigger. Use 17 USC §107 factors and keep records.
CommunityFeb 25, 20262026-02-254 minVerified
Measuring AI Exposure at the Task Level
Shift from jobs to task-level AI exposure metrics, weighing productivity gains against mixed employment signals for workers.
CommunityFeb 25, 20262026-02-254 minVerified
Why Output Length Becomes the Real Coding Bottleneck
In portfolio site builds, bottlenecks often come from long outputs during iterative edits, not first drafts. Compare tools by output cost, caching, and batch workflows.
CommunityFeb 25, 20262026-02-254 minVerified
Reducing Sycophancy by Stating Uncertainty in Chatbots
How chatbot sycophancy inflates certainty, conflicts with uncertainty guidance, and what design and evaluation practices reduce risk.
GuideFeb 17, 20262026-02-175 minVerified
Design Agent Memory With Deletion, Expiry, And Auditing
Agent memory shifts personal data from one-off chat to reusable records. Design deletion, expiry, and audit logs before storage.
CommunityFeb 17, 20262026-02-174 minVerified
Managing Message Caps And Rate Limits Across AI Plans
How multi-plan switching to spread chat caps and API rate limits can clash with terms, security, and automation restrictions.
GuideFeb 17, 20262026-02-174 minVerified
Output Validation Gates for Agent Tool Execution Safety
Tool calls become real actions. JSON validity is not enough—use strict schema checks, allowed_tools, refusal detection, and state-aware gates.
CommunityFeb 17, 20262026-02-174 minVerified
Sycophancy Risks: When Conversational AI Over-Agrees With Users
Why conversational AI sycophancy is treated as a quality/alignment risk in official docs and evals, plus practical mitigation prompts.
CommunityFeb 17, 20262026-02-174 minVerified
When Digital Intelligence Truly Exceeds Human Capabilities
Examine when speed, copying, and updates translate into general intelligence, using scaling laws, g, and real-world bottlenecks.
CommunityFeb 16, 20262026-02-165 minVerified
Building Reliable Agent Loops Without Framework Dependencies
Explains reliability patterns and evaluation/logging practices needed when implementing agent execution loops without a framework.
GuideFeb 16, 20262026-02-165 minVerified
Choosing Korean LLMs: Data Retention, Training, And Region
Korean LLM adoption now hinges on training opt-in, retention exceptions, and in-region storage vs processing, not model names.
GuideFeb 16, 20262026-02-164 minVerified
Compliance Focus: Evidence, Logging, Consent, and Documentation
Regulation is about evidence, not intent. Capture data flows, automated-decision logs, security measures, and under-14 consent as outputs.
CommunityFeb 16, 20262026-02-164 minVerified
Designing Auditability For Government Surveillance AI Requests
How to design governance for surveillance/law-enforcement AI: legal request types, data minimization, retention limits, and audit-ready evidence.
CommunityFeb 16, 20262026-02-165 minVerified
Designing Memory, Continual Learning, And Recursive Improvement Systems
Compare RAG vs parameter updates for long-term memory, then outline validation and gating needed for recursive self-improvement loops.
CommunityFeb 16, 20262026-02-165 minVerified
Is The Frontier LLM Gap Really Shrinking Lately
Tight leaderboard scores can hide uncertainty and evaluation drift. Public data alone rarely confirms 3–6 month trend slowdowns.