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 pays hundreds of contractors to read real ChatGPT conversations and rate the chatbot’s replies, a practice most users likely don’t know exists.
Microsoft published draft rules for its AI models, days after Anthropic’s CEO called for slowing AI development and a researcher resigned over safety fears.
Sam Altman says safety work should constrain the pace of frontier AI development, following an interview in which he rejected a hypothetical 10% extinction risk as unacceptable.
Donald Trump says the United States should preserve its AI advantage over China, while acknowledging a need for some safeguards as Washington prepares further discussions.
Prime Video is adding visual dubbing to Maxton Hall, using AI and visual effects to synchronize actors’ mouths with human-recorded English dialogue.
Xi Jinping proposed joint language-model development and specialist training across BRICS, but announced no named models, access terms or rollout timetable.
Anthropic’s economic scenarios explore how AI could raise U.S. output by 2030 while shifting income toward capital and putting pressure on knowledge workers.
Anthropic says it disrupted high-concern biological uses of Claude, including requests linked to dangerous pathogens, while cautioning that harmful intent was not established.
Sam Altman has discussed slowing advanced AI development, Bloomberg reports, as OpenAI’s chief scientist argues for coordination and stronger safeguards.
OpenAI is packaging financial data, research and document creation into a specialized ChatGPT product aimed at investment bankers and equity researchers.