How Amplitude ships product improvements in 1–2 days with OpenAI
Amplitude uses OpenAI models to power Wave, a proactive agent that identifies product improvements, generates code, and measures impact to compress shipping cycles to 1–2 days.
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Amplitude uses OpenAI models to power Wave, a proactive agent that identifies product improvements, generates code, and measures impact to compress shipping cycles to 1–2 days.
Amplitude uses OpenAI models and agentic workflow (Wave) to ship product features in 1–2 days via autonomous identification, coding, and impact measurement.
Quantum-classical hybrid LSTM and reservoir computing for financial time-series forecasting with amplitude encoding and parameterized quantum circuits.
Born evidence maps provide exact interpretability for quantum and optical image classifiers via amplitude decomposition without approximation.
Theoretical linguistics: language has two semantic parameters—amplitude (co-occurrence strength) and phase (how coactivated meanings combine)—not captured by embeddings alone.
We present QuantumPhaseNet, a gauge-covariant geometric and quantum-spectral extension of Transformer representations. Context-dependent semantic states are modeled as complex amplitudes; a covariant phase rate induces a semantic wavelength used as a proxy for conceptual scale…
The attention mechanism forms the foundation of many modern AI models such as the Transformer. In one subclass of problems where attention is used, inputs and outputs are bound to the probability simplex so that all outputs sum to one. In this setting, softmax attention admits…
Modeling spatiotemporal dynamical systems governed by partial differential equations (PDEs) poses two major challenges: it either requires expensive physics-based simulators that entail iterative numerical solving at high computational cost, or it depends on abundant training…
Hyperdimensional Computing (HDC) is a robust computational framework inspired by human cognition characterized by simple and efficient operations within high-dimensional vector spaces. Quantum-enhanced Hyperdimensional Computing (QeHDC) extends classical HDC by leveraging…
Blood pressure (BP) is a key marker for cardiovascular risk assessment and therapeutic decision-making, and Photoplethysmography (PPG) enables low-cost, wearable-friendly cuffless BP estimation. However, even with recent progress, many PPG-based models are trained with BP…
GPT-5.2 Pro assists in deriving and verifying graviton tree amplitudes, extending single-minus amplitudes to quantum gravity.
GPT-5.2 proposes novel gluon amplitude formula in theoretical physics, later formally proved by OpenAI and academic collaborators.