Coding with OpenAI o1
OpenAI
Scott Wu, CEO and Co-Founder of Cognition, explains how OpenAI o1 makes coding decisions in a more human-like way.
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OpenAI
Scott Wu, CEO and Co-Founder of Cognition, explains how OpenAI o1 makes coding decisions in a more human-like way.
Балл: 37.4Уверенность: 54%
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OpenAI is appointing four new advisors to help inform OpenAI’s philanthropic efforts.
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We’re releasing gpt-oss-120b and gpt-oss-20b—two state-of-the-art open-weight language models that deliver strong real-world performance at low cost. Available under the flexible Apache 2.0 license, these models outperform similarly sized open models on reasoning tasks, demonstrate strong tool use capabilities, and are optimized for efficient deployment on consumer hardware.
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We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of high fidelity video. Our results suggest that scaling video generation models is a promising path towards building general purpose simulators of the physical world.
Балл: 37.4Уверенность: 54%
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In a multi-faceted agreement, Vox Media’s content will enhance the output of OpenAI’s ChatGPT, and the company will build on OpenAI’s technology to develop products to better serve its audiences and advertisers.
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Developers can now bring their own data to customize GPT-3.5 Turbo for their use cases.
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Our latest report featuring case studies of how we’re detecting and preventing malicious uses of AI.
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OpenAI welcomes Sarah Friar (CFO) and Kevin Weil (CPO)
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Invideo AI uses OpenAI’s GPT-4.1, gpt-image-1, and text-to-speech models to transform creative ideas into professional videos in minutes.
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Superhuman introduces a new era of email with OpenAI.
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We’ve trained a model to achieve a new state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) instead of simply rewarding the correct final answer (“outcome supervision”). In addition to boosting performance relative to outcome supervision, process supervision also has an important alignment benefit: it directly trains the model to produce a chain-of-thought that is endorsed by humans.
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Stripe leverages GPT-4 to streamline user experience and combat fraud.
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