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.
ByteDance’s record offshore loan would nearly double its 2024 facility and help fund capital spending that could reach $70 billion this year on AI data centers.
ByteDance unveiled Doubao 2.1 Pro, which it claims beats Claude Opus 4.6 at 80% lower cost, and previewed Seedance 2.5, a 30-second video model.
A new Anthropic privacy policy taking effect July 8 lets the company ask some flagged Claude users to upload government IDs and submit biometric selfies.
The back-to-back exits of Noam Shazeer and AlphaFold’s John Jumper expose Google’s retention struggles as funded rivals lure away frontier AI researchers.
Google is investing about $75 million in indie studio A24, pairing it with DeepMind to build AI filmmaking tools in its first stake in a studio.
OpenAI added Record and Replay to its Codex Mac app, letting users demonstrate a task once and turn it into a reusable AI skill.
Salesforce agreed to buy Fin, the customer-service AI company formerly known as Intercom, for about $3.6 billion to strengthen its Agentforce platform.
Kazakhstan’s Data Center Valley would deploy 100,000 Nvidia GPUs near cheap power by 2027, though analysts flag execution risk after a history of stalled deals
Z.ai released GLM-5.2, a flagship coding model with a usable 1-million-token context, shipping it to paying subscribers first while withholding benchmarks, an API and open weights.
Tech firms have cut close to 150,000 jobs in 2026 while citing AI, even as AI-driven IPOs mint vast new fortunes, sharpening questions about who benefits.