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OpenAI 1 year ago 38
Uber is integrating AI tools to improve its on-demand service operations and customer experience. The company is using machine learning models to optimize ride matching, delivery routing, and driver-passenger interactions across its platform. These systems aim to reduce wait times and improve service reliability for both drivers and customers.
Hugging Face 1 year ago 23
Hugging Face released SmolVLM2, a suite of video understanding models in three sizes—2.2B, 500M, and 256M parameters—designed to run efficiently on devices from phones to servers. The 2.2B model matches the performance of comparable frontier models on the Video-MME benchmark, while the 500M model achieves similar video understanding capabilities with less than a quarter of the parameters. The release includes demo applications such as an iPhone app, VLC media player integration, and a video highlight generator, alongside libraries for inference and fine-tuning through Transformers and MLX.
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TLDRocket
3 October 2026
OpenAI’s safety troubles moved from the inside of quarterly reviews to the public record. David Robinson, who says he spent 3.5 years leading safety reports tied to major product launches, resigned after arguing in The Atlantic that OpenAI’s “culture is broken.” His departure lands hard in a week when outside researchers at GovAI warned that major labs can run powerful models with key safeguards turned off behind closed doors, and that published evaluations may not mirror internal reality. Put together with the accelerating tempo of real-world misuse—where AI-assisted software production is collapsing the time-to-exploit window, leaving vulnerability teams with more CVEs than they can investigate—this day’s throughline is less about new policy language and more about whether safety work can survive contact with incentives, speed, and internal tooling.
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