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 partners with BCG, McKinsey, Accenture, and Capgemini to deploy Frontier, a platform for AI coworkers, across enterprises, combining technology with strategy and workflow redesign.
Alphabet, Amazon, Meta, and Microsoft are expected to spend $650 billion on AI infrastructure in 2026, up from $410 billion in 2025, highlighting rapid scaling amid compute demand.
A former Citigroup executive says commercially available humanoid robots can now deliver a return on investment in under 10 weeks, potentially accelerating enterprise automation.
An experimental AI agent created by an OpenAI employee mistakenly transferred $441,000 worth of tokens in response to a social media request, highlighting risks in autonomous crypto trading systems.
Former DeepMind researcher David Silver has raised $1 billion for London-based Ineffable Intelligence, aiming to build a superintelligence that learns autonomously through experience.
Google is rolling out Gemini 3.1 Pro across consumer, developer, and enterprise products, touting major gains in reasoning performance and benchmark results.
Contra unveiled Contra Payments, a new platform enabling creatives to sell products and services directly to both humans and AI agents, marking a shift toward “agentic commerce.”
OpenAI is reportedly closing a funding round expected to exceed $100 billion, potentially boosting its valuation beyond $850 billion as it invests heavily in AI infrastructure.
India’s AI Impact Summit in New Delhi delivered more than $250 billion in investment commitments, spanning data centers, AI infrastructure, and global expansion plans.
Bill Gates canceled his keynote appearance at India’s AI Impact Summit hours before speaking, as renewed scrutiny over past ties to Jeffrey Epstein intensified following U.S. Justice Department disclosures.