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OpenAI 4 years ago 21
OpenAI is expanding access to DALL-E 2 by inviting new users from its waitlist following initial safety testing with early adopters. Users have generated over 3 million images during the preview period, providing feedback that refined the system's safety protocols. The company will now onboard up to 1,000 additional users weekly as it moves toward broader availability.
Hugging Face 4 years ago 49 ● 2 sources
Hugging Face published an educational article introducing Q-Learning as part of its free Deep Reinforcement Learning course, covering value-based methods and comparing Monte Carlo with Temporal Difference Learning approaches. The course is structured in 2 parts, with the first explaining fundamental concepts like state-value and action-value functions, and the second implementing a Q-Learning agent trained on environments including Frozen-Lake-v1 and an autonomous taxi simulator. This foundational unit is designed to prepare students for Deep Q-Learning in unit 3, which applies these principles to games like Atari breakout and space invaders.
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TLDRocket
19 October 2026
NVIDIA’s decision to open-source Run:ai under Apache 2.0 is the day’s most consequential signal: AI compute is getting treated less like proprietary infrastructure and more like inspectable, forkable plumbing. The release puts Run:ai’s Kubernetes GPU orchestration code on GitHub and, in the local build, spins up a five-node Kind cluster pinned to Kubernetes v1.32.5 with eight simulated Tesla-A10 GPUs. That means teams can now audit scheduling behavior, adapt deployment patterns, and self-host without a paid subscription—though the community edition still stops short of NVIDIA enterprise support. In practice, it moves GPU fleet management closer to the software engineers who already live inside CI/CD pipelines, rather than keeping it behind enterprise procurement gates.
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