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.
A new Harvard Business Review study suggests that widespread AI adoption may increase workloads and burnout, even when productivity tools make tasks easier to complete.
OpenAI has started testing advertisements in ChatGPT for certain U.S. users, marking a shift in how the company funds free access while emphasizing privacy and answer independence.
Telegram has introduced Mira, its first blockchain-based AI assistant, offering private and standard modes, multi-model AI capabilities, and future integration with crypto and group chats.
AI.com’s Super Bowl advertisement triggered a surge of traffic that temporarily crashed the platform, highlighting both strong consumer interest and the risks of high-profile AI marketing.
Apple confronts rising memory chip prices as iPhone demand surges, weighing whether to raise prices or absorb costs, a choice that could reshape the global smartphone market.
Anthropic released Opus 4.6 with new agent team capabilities, while OpenAI quickly followed with a more advanced Codex model, underscoring intensifying competition in AI-powered software development.
OpenAI CEO Sam Altman criticized rival Anthropic for its Super Bowl ads mocking ChatGPT, prompting widespread social media ridicule and debate over AI advertising practices.
OpenAI introduced Frontier, a platform enabling enterprises to build, deploy, and manage AI agents across business workflows. The system turns AI into practical coworkers that learn, act, and improve over time.
ElevenLabs CEO Mati Staniszewski says voice is emerging as the primary way people will interact with AI, as models combine speech with reasoning and agentic capabilities.
A new platform called Rent a Human allows AI agents to outsource tasks to real people when automation falls short, highlighting an unusual hybrid model of human-in-the-loop labor.