CommunityMar 4, 20262026-03-045 minVerified
Tokenizer Pitfalls That Masquerade As Reasoning Failures
How whitespace, Unicode normalization, and token boundaries can look like reasoning failures, and how to control evaluation setups.
CommunityMar 4, 20262026-03-045 minVerified
Where LLM Target Queueing Becomes Weapon Autonomy
Examines how LLM-generated target queues and prioritization can steer human selection, shaping autonomy boundaries, auditability, and control.
CommunityMar 3, 20262026-03-034 minVerified
Benchmark MLX 4-Bit Local LLMs on Apple Silicon
Run MLX mxfp4 local LLMs with identical commands and prompts, logging tokens-per-sec and peak memory for reproducible comparisons.
CommunityMar 3, 20262026-03-035 minVerified
Tracking Semiconductor Equipment Volatility Through AI CapEx And Macro
A data-first framework to separate AI CapEx expectations from rate/FX shocks and explain outsized moves in semiconductor equipment stocks.
CommunityMar 3, 20262026-03-034 minVerified
Untangling AGI Terms: Reasoning, Memory, Continual Learning Metrics
A decision memo separating reasoning, long-term memory, and continual learning into testable metrics to reduce AGI narrative confusion.
CommunityMar 3, 20262026-03-034 minVerified
When Automation Raises Performance Pressure in Organizations
How AI automation turns speed into new baselines, raising pressure, and how to redesign sustainable standards using risk-based governance.
CommunityMar 3, 20262026-03-035 minVerified
Why Paid AI Chats Feel Less Reliable Today
How hidden sampling controls and unreliable web search can raise hallucination risk and verification costs in paid AI chat.
CommunityMar 2, 20262026-03-025 minVerified
Measuring And Controlling Variance In Generative AI Recommendations
Generative AI recommendations can vary by default. Measure variance via reruns, improve reproducibility with seed and system_fingerprint, and add constraints and checklists.
CommunityMar 1, 20262026-03-015 minVerified
How AI Firms Operationalize Political Neutrality Through Rules
AI firms define political neutrality via guardrails: election interference, impersonation, deception, and violence limits, plus logging and transparency.
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.
RoundupFeb 28, 20262026-02-282 min
AI Resource Roundup (24h) - 2026-02-28
A curated link roundup from recently collected official updates and tech news.
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, 20262026-02-255 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, 20262026-02-255 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
Korean Word-Chain Mini-Benchmark for Rule-Following Honesty
A Korean word-chain mini-benchmark using “checkmate” words to separate rule-following, admitting impossibility, and fake-word evasion across reasoning_effort settings.
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 17, 20262026-02-174 minVerified
Why Benchmark Gains Don’t Guarantee Real-World Model Quality
Static benchmark gains may not translate to real work quality. Covers contamination risks and a practical evaluation framework.
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.
CommunityFeb 17, 20262026-02-175 minVerified
Operating Continuity for IP-Based Long-Form AI Animation Production
How to run long-form AI animation on existing IP with a bible, asset library, and QA loops, while managing derivative-work risks.
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.