Tag: llm

698 articles · Page 10 / 30

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 26, 20262026-02-26

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

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

agi

TrustedFeb 25, 20262026-02-25

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.

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.

llm

CommunityFeb 25, 20262026-02-25

Defense AI Full Use Clashes With Contract Controls

In defense, pressure for full commercial AI use collides with FASCSA exclusion/removal, DPA priority orders, and governance logging controls.

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.

llm

CommunityFeb 25, 20262026-02-25

How EU US China Expand AI Oversight Powers

Compares EU, US, and China rules on high-risk AI and critical infrastructure, highlighting regulators’ access to docs, data, and code.

agi

CommunityFeb 25, 20262026-02-25

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.

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.

agi

CommunityFeb 25, 20262026-02-25

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.

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