How Safety Holds Up Across Long AI Conversations
Examines whether AI safety remains consistent in long conversations and highlights gaps in session-level evaluation.
1221 articles · Page 8 / 51
Examines whether AI safety remains consistent in long conversations and highlights gaps in session-level evaluation.
How Ising-based thermodynamic computing may scale training, with focus on sampling costs and hardware limits.
Examines how stale rollouts and learning rates affect stability in asynchronous RLHF, with practical signals like staleness and ESS.
Examines whether AI eliminates jobs or redesigns tasks, and why this shift matters for hiring, reskilling, and productivity.
A curated link roundup from recently collected official updates and tech news.
A practical guide to balancing agent autonomy, traceability, and control in enterprise orchestration design.
EM may depend on optimizers and batch settings, making finetuning recipes part of safety evaluation, not just data.
Why LLM self-review should be judged by generator-evaluator consistency, not accuracy alone, in agent workflows.
Why AI agents must move beyond preference elicitation to support preference formation, with evaluation and safety in view.
How a dual-agent LLM pipeline separates proposing tighter relaxations from verification in automated research.
Model value now depends on performance, quotas, throughput, and pricing, not benchmark scores alone.
Public-sector AI disclosures can look compliant yet fail users if they lack meaningful, actionable information.
In education, AI design matters more than raw performance, with student privacy, data minimization, and teacher control at stake.
Commercial APIs and open-weight models differ not just in performance, but in who runs blocking, logging, and policy enforcement.
Examines Google PAT's paper-checking results and limits, and where AI should fit in academic review workflows.
A curated link roundup from recently collected official updates and tech news.
Why equilibrium selection, conservatism, and data coverage matter when solving offline multi-agent games from fixed logs.
Anthropic's Claude Science emphasizes integrating tools, data, compute, and review into one scientific workflow.
Rhythm game AI works best when API and local inference are split by function, balancing latency, limits, cost, and memory.
How to assess whether AI firms' calls for regulation signal safety commitments, competitive strategy, or both.
A compact fast-weight recurrent model reported lower pooled RMSE than a larger LSTM using only 22.4% of the parameters.
A look at Apple’s reported early security patch rollout and why patch timing matters more in an AI-driven threat environment.
Office humanoid robots should be judged by learning pipelines, generalization, and public validation, not demos alone.
A curated link roundup from recently collected official updates and tech news.