Tag: hardware

760 articles · Page 17 / 32

How AI integration speeds weapon decision cycles and raises escalation risk, with safeguards in DoDD 3000.09 and NIST AI RMF.

hardware

CommunityMar 1, 20262026-03-01

Validating Failure Modes in Vision-Agent Robotics Systems

In high-risk deployments, prioritize uncertainty, false positives/negatives, and closed-loop failure propagation over single-model scores.

hardware

TrustedFeb 28, 20262026-02-28

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.

hardware

CommunityFeb 28, 20262026-02-28

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.

k-ai-pulse

RoundupFeb 27, 20262026-02-27

AI Resource Roundup (24h) - 2026-02-27

A curated link roundup from recently collected official updates and tech news.

k-ai-pulse

RoundupFeb 26, 20262026-02-26

AI Resource Roundup (24h) - 2026-02-26

A curated link roundup from recently collected official updates and tech news.

k-ai-pulse

RoundupFeb 25, 20262026-02-25

AI Resource Roundup (24h) - 2026-02-25

A curated link roundup from recently collected official updates and tech news.

hardware

CommunityFeb 25, 20262026-02-25

Bottlenecks Running 120B Local LLMs On 128GB

Explain 120B local LLM bottlenecks on 128GB: quantization, KV cache, context length, concurrency, and backend overhead.

hardware

NewsFeb 25, 20262026-02-25

CleaveNet Designs Protease-Cleavable Peptides for Urine Sensors

CleaveNet predicts and generates peptides from cleavage efficiency across 18 MMPs, linking designs to nanoparticle urine sensors.

agi

CommunityFeb 25, 20262026-02-25

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.

hardware

CommunityFeb 25, 20262026-02-25

Designing Dispute Procedures Beyond Generative Detection Scores

Domain shift, post-processing, and adversarial attacks weaken detection. Treat scores as evidence and add provenance and stress tests.

hardware

CommunityFeb 25, 20262026-02-25

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.

hardware

CommunityFeb 25, 20262026-02-25

How AI Pricing Tiers Reshape Access And Work

Higher tiers bundle usage caps, SLA, context, and org controls, widening the practical work gap between individuals and enterprises.

agi

CommunityFeb 25, 20262026-02-25

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.

hardware

CommunityFeb 25, 20262026-02-25

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.

hardware

CommunityFeb 25, 20262026-02-25

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.

hardware

CommunityFeb 25, 20262026-02-25

Personal AI Automation Requires Governance, Logs, And Approvals

Generative AI and agents amplify individual output, but hallucinations and data retention/training policies raise governance risks.

hardware

CommunityFeb 25, 20262026-02-25

Reducing Sycophancy by Stating Uncertainty in Chatbots

How chatbot sycophancy inflates certainty, conflicts with uncertainty guidance, and what design and evaluation practices reduce risk.

hardware

CommunityFeb 25, 20262026-02-25

Tracing Output Drift With Snapshots, Seeds, And Safety

Even with the same model alias, outputs can shift due to snapshot routing, safety behaviors, and sampling settings. Use logs and regression tests to isolate causes.

k-ai-pulse

RoundupFeb 24, 20262026-02-24