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.
IBM and Ferrari are using AI-powered storytelling, analytics, and personalization tools to transform Formula One fan engagement through Ferrari’s standalone fan app.
A new U.S. study found that one in seven young adults in committed relationships regularly use AI romantic companion chatbots, with many concealing the behavior from their partners.
DeepSeek is building a native AI coding agent platform designed to compete with Anthropic’s Claude Code and OpenAI’s Codex, as the company expands from model provider into full-stack developer tooling.
California Governor Gavin Newsom signed an executive order directing state agencies to study and mitigate AI-driven job losses through retraining programs, labor protections, and employment support measures.
The founders of AI startup Manus are exploring ways to unwind Meta’s multibillion-dollar acquisition after Chinese regulators ordered the deal reversed. Options reportedly include raising fresh capital and pursuing a Hong Kong IPO.
AMD will invest more than $10 billion across Taiwan’s semiconductor ecosystem to strengthen AI chip manufacturing and packaging technologies. The move supports deployment of the company’s next-generation Helios AI server platform in 2026.
Polish startup Viktor has raised $75 million in a funding round led by Accel to expand its AI-powered digital employee platform. The company says its autonomous AI agents can manage operational tasks across enterprise tools for weeks at a time.
OpenAI says one of its unreleased reasoning models solved a major combinatorial geometry problem first posed by Paul Erdős in 1946. The result challenges a decades-old mathematical conjecture and marks a new milestone for AI-assisted research.
Anthropic is projected to generate $10.9 billion in Q2 revenue, potentially marking its first profitable quarter.
OpenAI is preparing to confidentially file for an IPO that could become one of the largest public offerings in history.