Sequence-to-sequence, or Seq2Seq, describes models that map an input sequence to an output sequence whose length may differ. Machine translation converts words in one language into another, speech recognition maps audio frames to text, and summarization produces a shorter sequence from a longer document. Many Seq2Seq systems use an encoder to represent the input and a decoder to generate output step by step, often with attention between them. Transformer encoder–decoder architectures largely replaced earlier recurrent designs. Training typically uses paired examples and token-level loss, while inference relies on greedy, beam, or sampling-based decoding. Quality depends on alignment, context limits, data coverage, and evaluation beyond surface overlap.
OpenAI launched AI Futures, a blog from a new Strategic Futures team arguing that AI’s gravest risk is letting power escape the checks that have long depended on human cooperation.
ChatGPT began scoping far more searches to specific websites on August 8, a change that coincided with Reddit’s citation share collapsing from 3.8% to 0.5%.
ByteDance and Tencent each received about 10,000 Nvidia H200 chips, but Chinese regulators want the hardware kept in Hong Kong, which lacks the power to run it.
Meta launched a Mac app for Meta AI with screen sharing and Google Workspace access, aimed at creators and small businesses running campaigns on Facebook and Instagram.
Alibaba’s profit fell about 75% in the June quarter as AI infrastructure spending jumped 75%, even as cloud revenue grew 45% and the company touted its new Qwen3.8-Max model.
Nvidia has discussed investing in Mercor, a data-labeling startup that supplies expert data for its Nemotron models, in a round that would double the company’s valuation to $20 billion.
Anthropic’s ongoing system-prompt changelog now documents instructions for Claude Fable 5 and Opus 5, revealing how the company steers agentic behavior in its newest models.
Cursor launched Origin, a code-hosting platform built into its editor with GitHub sync, in early beta the same day GitHub suffered a major global outage.
OpenAI paused reinforcement learning on its newest models after it could not rule out that an upcoming model, Astra, reached the top cybersecurity risk tier in its safety framework.
OpenAI launched ChatGPT for Teens, a version with default safety protections, learning tools and parental controls, automatically applied to users it identifies as under 18.