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.
Sam Altman confirmed OpenAI will build humanoid robots, ending years of speculation and putting the company in direct competition with the hardware makers it once backed.
AI training-data startup AfterQuery reportedly hit a $3.2 billion valuation, a tenfold jump in five months, becoming Y Combinator’s fastest company ever to reach unicorn status.
Sen. Bernie Sanders and Rep. Greg Casar unveiled a bill to ban superintelligent AI and pause advanced development, citing an OpenAI incident where over 1,000 agents breached Hugging Face.
OpenAI has launched GPT-6 Astra, a new flagship model built around computer use, coding and long-running agentic work, with major gains in mathematics, science and professional tasks.
Nvidia officially agreed to buy Hugging Face for $12.93 billion, with CEO Jensen Huang pledging the open-source AI platform will stay open to all hardware and clouds.
Norway plans to regulate camera-equipped smart glasses more strictly, floating a ban on public facial recognition, though critics say it wouldn’t stop covert filming.
OpenAI told lawmakers it’s developing automated shutdown capabilities for its AI systems, but a Democratic congressman says it still won’t share logs from the Hugging Face hack.
Apple says forensic analysis of an ex-engineer’s MacBook shows he used a stolen Apple schematic at OpenAI and trained an AI agent to run simulations with it.
Google released Gemini 3.8 Flash for coding and reasoning at unchanged pricing, alongside a restricted cyber model, as Google engineers reportedly preferred it to Anthropic’s Opus in internal tests.
Palo Alto Networks’ CEO says AI is forcing a $1 trillion overhaul of outdated cybersecurity systems, crediting Anthropic’s Mythos model with jolting companies into urgency.