Article URL: https://www.cncf.io/wp-content/uploads/2024/03/cloud_native_ai24_031424a-2.pdf

Comments URL: https://news.ycombinator.com/item?id=40753378

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Recent large language models (LLMs) can generate and revise text with human-level performance, and have been widely commercialized in systems like ChatGPT. These models come with clear limitations: they can produce inaccurate information, reinforce existing biases, and be easily misused. Yet, many scientists have been …
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Don't expect to see ChatGPT in a comedy double act anytime soon
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Open Source Metering and Usage Based Billing API ⭐️ Consumption tracking, Subscription management, Pricing iterations, Payment orchestration & Revenue analytics - getlago/lago
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AI
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Machine learning models are hungry for content from libraries and cultural insitutions. How can we imagine ways these technologies might help people and communities, while also being mindful of risks and harms and unexpected consequences?
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Grief-laden vitriol directed at AI fails to help us understand paths to better futures that are neither utopian nor dystopian, but open to radically weird possibilities.
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SoftBank CEO Masayoshi Son laid out his vision for artifical super intelligence, or ASI, that he said would be 10,000 times smarter than humans.
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