According to Bloomberg, Stripe is acquiring the AI startup OpenRouter for more than $7 billion, up from a latest valuation of $1.3 billion. OpenRouter offers access to over 400 AI models, has eight million users, and its CEO had described…
According to Bloomberg, Stripe is acquiring the AI startup OpenRouter for more than $7 billion, up from a latest valuation of $1.3 billion. OpenRouter offers access to over 400 AI models, has eight million users, and its CEO had described…
According to Bloomberg, Stripe is acquiring the AI startup OpenRouter for more than $7 billion, up from a latest valuation of $1.3 billion. OpenRouter offers access to over 400 AI models, has eight million users, and its CEO had described…
According to Bloomberg, Stripe is acquiring the AI startup OpenRouter for more than $7 billion, up from a latest valuation of $1.3 billion. OpenRouter offers access to over 400 AI models, has eight million users, and its CEO had described…
According to Bloomberg, Stripe is acquiring the AI startup OpenRouter for more than $7 billion, up from a latest valuation of $1.3 billion. OpenRouter offers access to over 400 AI models, has eight million users, and its CEO had described…
According to Bloomberg, Stripe is acquiring the AI startup OpenRouter for more than $7 billion, up from a latest valuation of $1.3 billion. OpenRouter offers access to over 400 AI models, has eight million users, and its CEO had described…
According to Bloomberg, Stripe is acquiring the AI startup OpenRouter for more than $7 billion, up from a latest valuation of $1.3 billion. OpenRouter offers access to over 400 AI models, has eight million users, and its CEO had described…
arXiv:2608.13799v1 Announce Type: new Abstract: This paper presents an event-driven learning and benchmarking framework for the Dynamic Multi-Depot Vehicle Routing Problem with progressively revealed requests and evolving vehicle states. Masked MLP and Transformer policies are trained through behavior cloning and…
arXiv:2608.14329v1 Announce Type: cross Abstract: Principle-based regulation, with evaluative standards such as “fair, clear, and not misleading” or “deliver good outcomes”, cannot be reduced to binary predicates, and LLM-as-judge is increasingly used as the substitute. Our position is that any…
arXiv:2608.13800v1 Announce Type: new Abstract: Transition path sampling (TPS) aims to efficiently generate rare molecular transition trajectories between metastable states and is essential for understanding biomolecular mechanisms. Beyond traditional molecular dynamics (MD)-based sampling, machine learning has become central to state-of-the-art…
