Preply partnered with OpenAI to blend AI and human tutors in learning. All five sources are OpenAI official—a single-vendor framing with no external research or community reaction, an announcement-led business tie-up. On a language-learning platform, AI handles drills and feedback while human tutors take conversation and motivation; the through-line is not AI replacing teachers but designing a human-plus-AI split. It stands as an implementation case in education. But this is mainly a partnership announcement—learning outcomes, retention, and the value the blend actually creates await operational data.
Preply blends AI tutors with humans
Preply blends AI tutors with humans
How Preply combines AI and human tutors to personalize learning
Preply launches AI-generated lesson summaries powered by OpenAI
OpenAI WebRTC Audio Session, now with document context
Simon Willison adds document context to his OpenAI WebRTC audio tool
New OpenAI Academy courses for the next era of work
OpenAI launches three Academy courses on practical AI skills at work
「今、Codexのレート制限を解除したい」を解決? “付与したリセット権の貯蓄”可能に 有料ユーザー向け
OpenAI lets paid Codex users bank and redeem rate-limit resets on demand
スマホからWindowsのCodexアプリを操作できるの? 外出中でもAIコーディングを止めない方法
OpenAI Codex on Windows now controllable from smartphones
Timing Trick Cuts Energy Used in LLM Training by Up to 14 Percent
Timing trick cuts LLM training energy use by up to 14 percent
Academic (arxiv etc.) 4 ▾
tap: A File-Based Protocol for Heterogeneous LLM Agent Collaboration
tap: a file-based protocol for heterogeneous LLM agent collaboration
EpiBench: Verifiable Evaluation of AI Agents on Epigenomics Analysis
EpiBench: no AI agent passes a majority of epigenomics analysis tasks
A Three-Layer Framework for AI in Scientific Discovery
A three-layer view of AI in discovery centers on model formation (Layer 2)
AgentRivet: an automated system for producing Rivet routines from journal publications
AgentRivet auto-generates missing Rivet routines from physics papers