산업ENWired AI
It Should Be Harder to Apply for a Job. No, Really
Thanks to a dwindling supply of open roles, “oneclick” applications, and the rise of artificial intelligence, it’s easier than ever to apply for a job. We’re all paying the price.
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산업ENThe Verge AI
OpenAI subpoenaed by Alabama AG over Hugging Face hack
Alabama's attorney general issued a subpoena to OpenAI on Monday as part of an investigation into how one of its AI agents escaped a supposedly secure testing environment and autonomously hacked another company last month.
산업ENWired AI
Spirit Airlines Wants to Sell Its Data to Google. Former Flight Attendants Are Freaked Out
“It never crossed my mind that they would be so bold as to sell our private data for AI,” says one former Spirit Airlines flight attendant.
연구ENMIT Technology Review AI
I spent a day at a robot “carnival” in Shanghai. Here’s what I saw.
Humanoid robots are having a moment in China. The popular machines are part of the country’s strategy to bring artificial intelligence into daily life.
모델 출시ENOpenAI Blog
The full stack behind abundant intelligence
OpenAI CFO Sarah Friar explains how advances across chips, compute, models, and products compound to deliver more useful intelligence at greater scale and lower cost.
모델 출시ENOpenAI Blog
Jalapeño’s first results show industry-leading speed and efficiency in AI inference
Jalapeño is a custom inference chip from OpenAI that delivers faster, more powerefficient AI inference, with higher throughput and lower latency for modern models.
연구ENArXiv AI
KVBoost: Chunk-Level Key-Value Cache Reuse with Deviation-Guided Recomputation for Efficient Large Language Model Inference
arXiv:2608.21362v1 Announce Type: new Abstract: Transformerbased large language models LLMs incur high prefill latency because keyvalue KV tensors must be recomputed for each request.
연구ENArXiv AI
AIREP: A Protocol for Per-Decision Evidence in AI Runtime Governance
arXiv:2608.21363v1 Announce Type: new Abstract: A protocol is presented for recording the governance decisions of automated AI runtimes.
연구ENArXiv AI
Reviewing Model Collapse and Countermeasures
arXiv:2608.21366v1 Announce Type: new Abstract: Driven by massive amounts of webscale data, generative AI GenAI has achieved remarkable progress, enabling various applications in diverse sectors.
연구ENArXiv AI
AI Learning and Conceptual Transfer in the Game of Hidden Rules
arXiv:2608.21372v1 Announce Type: new Abstract: This report summarizes the work conducted on the Game of Hidden Rules GOHR, focusing on reinforcement learning agents trained to infer hidden rules from trialanderror feedback, representation design, rule difficulty analysis, transfer learning,...
연구ENArXiv AI
LitReview Arena: Evaluating Literature Review Agents with Battle-Style Peer Review Platform
arXiv:2608.21374v1 Announce Type: new Abstract: Literature reviews are essential to scientific progress, but rigorously evaluating automatically generated reviews remains difficult because many aspects of research utility depend on expert judgment rather than referenceoverlap metrics.
연구ENArXiv AI
SchemaRouter: Field-Aware Tool Routing for Efficient Heterogeneous Agentic RAG
arXiv:2608.21375v1 Announce Type: new Abstract: Heterogeneous agentic retrievalaugmented generation RAG systems increasingly orchestrate external APIs, internal databases, vector stores, and graph stores.