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LLM-Guided Belief Shaping for Partially Observable TAMP

How LLM signals can shape belief in partially observable TAMP, and why calibration, uncertainty, and safety filters matter for reliability.

Logging And Continuous Evaluation For Research Agent Loops

How to use LLM agents for research formalization with guardrails: log everything, run continuous evaluation, and score tool selection and argument precision.

Managerial AI Advice Under Ambiguity and Sycophancy Risks

How ambiguity detection, clarification, and sycophancy control shape managerial AI advice quality, risk, and evaluation metrics.

MASS Enables Test-Time Self-Update Through Synthetic Data

MASS trains LLMs to synthesize per-problem data and self-update at test time, raising auditability, integrity, and reproducibility needs.

Optimize AI Subscriptions: Limits, Terms, And Uptime Risks

Optimize AI subscriptions by checking usage limits, terms restrictions, and uptime transparency to minimize workflow disruption risk.

Personalized Safety Constraints in LLM Conversational Recommendation Systems

LLM-based conversational recommenders may infer sensitive triggers from dialogue, risking personalized safety violations unless constraints are enforced.

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PlugMem Plugin Memory Cuts Context Bloat, Adds Risk

PlugMem externalizes long-term memory as a plug-in to reduce retrieval bloat and relevance loss, while highlighting persistent injection risks.

Reproducible Visual Puzzle Evaluation Without Tool Leakage

Tool-free visual puzzle claims depend on fixed constraints: lock tools, image preprocessing, prompts, and logs for reproducibility.

Understanding GPU Power And Utilization Sampling Windows

NVML, DCGM, and nvidia-smi report window-averaged power and utilization. Learn how sampling affects LLM inference graphs.

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Where AI Replaces Effort: Limits, Evidence, And Regulation

AI “effort replacement” spans cognitive automation to body/brain augmentation. Check RCT evidence, effect sizes, and regulatory safety.

AI Automation Shocks Jobs, Energy Costs, Transfer Feasibility

As AI displaces jobs, energy costs and value capture can constrain cash transfers like UBI, complicating inflation and fiscal assumptions.

How Conversational AI Design Shapes Intimacy And Trust

Examines how warmth, memory, and consistency in conversational AI affect intimacy, trust, and safety evaluation criteria.

Evaluating LLM Self-Consistency Beyond Humanlike Mimicry

Separate humanlike mimicry from self-consistency in LLMs, and evaluate long-term memory and persona drift with benchmarks and protocols.

Guide-Driven Conversational Learning Workflow With Micro-Quizzes

A guide-driven dialogue study loop: paste fragments, then run understanding checks, structured explanations, and tailored quizzes.

When Image Preprocessing Breaks Multimodal Geolocation Reliability

Resizing, tiling, and tokenization can shift what models see, turning map/geography misreads into repeatable product risk.

Margins And Risks In LLM Reseller Layer Services

How LLM reseller-layer services create margin via caching, batch, pricing design, and what security, logs, and compliance issues buyers must verify.

Measuring AI Adoption Gaps With Time-Based Metrics

How automation, productization, and standardization reshape AI adoption gaps, using time-on-task, errors, and workload metrics.

OECD Finds Generative AI Adoption And Age Gaps

OECD reports that in 2025 over one-third of individuals used generative AI, with the largest gap by age at 53.6pp.

NewsMar 4, 20262026-03-04

Pentagon Contract Puts AI Safety Into Enforceable Terms

A Pentagon contract dispute highlights how AI safety guardrails become enforceable via contract terms and deployment controls.

Separating Invention From Diffusion In US Innovation Narratives

A framework to parse US innovation stories by separating “firsts” from diffusion, using primary records and patent evidence.

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.

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, 20262026-03-03

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.