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Tag: computational resources

  • The Register: AI agents? Yes, let’s automate all sorts of things that don’t actually need it

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/27/ai_agents_automate_argument/ Source: The Register Title: AI agents? Yes, let’s automate all sorts of things that don’t actually need it Feedly Summary: OpenAI’s Operator a solution in search of a problem Opinion The “agentic era," as Nvidia’s Jim Fan and others have referred to the current evolutionary state of generative artificial intelligence (AI), is…

  • Hacker News: Mastering Atari Games with Natural Intelligence

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    Kurt Seifried
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    Source URL: https://www.verses.ai/blog/mastering-atari-games-with-natural-intelligence Source: Hacker News Title: Mastering Atari Games with Natural Intelligence Feedly Summary: Comments AI Summary and Description: Yes Summary: The text presents a significant advancement in the realm of AI, showcasing VERSES’ Genius-powered agent that outperforms existing leading AI algorithms on the Atari 100k benchmarking challenge with remarkable efficiency. This represents a…

  • The Register: What happens when we can’t just build bigger AI datacenters anymore?

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/24/build_bigger_ai_datacenters/ Source: The Register Title: What happens when we can’t just build bigger AI datacenters anymore? Feedly Summary: We stitch together enormous supercomputers from other smaller supercomputers of course Feature Generative AI models have not only exploded in popularity over the past two years, but they’ve also grown at a precipitous rate, necessitating…

  • Hacker News: Supercharge vector search with ColBERT rerank in PostgreSQL

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    Kurt Seifried
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    Source URL: https://blog.vectorchord.ai/supercharge-vector-search-with-colbert-rerank-in-postgresql Source: Hacker News Title: Supercharge vector search with ColBERT rerank in PostgreSQL Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses ColBERT, an innovative method for vector search that enhances search accuracy by representing text as token-level multi-vectors rather than sentence-level embeddings. This approach retains nuanced information and improves…

  • OpenAI : Trading inference-time compute for adversarial robustness

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    Kurt Seifried
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    Source URL: https://openai.com/index/trading-inference-time-compute-for-adversarial-robustness Source: OpenAI Title: Trading inference-time compute for adversarial robustness Feedly Summary: Trading Inference-Time Compute for Adversarial Robustness AI Summary and Description: Yes Summary: The text explores the trade-offs between inference-time computing demands and adversarial robustness within AI systems, particularly relevant in the context of machine learning and AI security. This topic holds…

  • OpenAI : Stargate Infrastructure

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    Kurt Seifried
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    Source URL: https://openai.com/form/stargate-infrastructure Source: OpenAI Title: Stargate Infrastructure Feedly Summary: OpenAI, and our strategic partners, are thrilled about our shared vision for the Infrastructure of AGI. We are energized by the challenges we face and are excited by the prospect of partnering with firms across the industrial base to deliver against our ambitious mission. Specifically,…

  • Slashdot: Scale AI CEO To Trump: ‘America Must Win the AI War’

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    Kurt Seifried
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    Source URL: https://news.slashdot.org/story/25/01/21/1715259/scale-ai-ceo-to-trump-america-must-win-the-ai-war Source: Slashdot Title: Scale AI CEO To Trump: ‘America Must Win the AI War’ Feedly Summary: AI Summary and Description: Yes Summary: Alexandr Wang, CEO of Scale AI, is advocating for a stronger U.S. commitment to artificial intelligence through a full-page ad in The Washington Post to the new president. His five-point…

  • Hacker News: 400x faster embeddings models using static embeddings

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    Kurt Seifried
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    Source URL: https://huggingface.co/blog/static-embeddings Source: Hacker News Title: 400x faster embeddings models using static embeddings Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This blog post discusses a new method to train static embedding models significantly faster than existing state-of-the-art models. These models are suited for various applications, including on-device and in-browser execution, and edge…

  • The Register: ‘Savvy’ shortcuts produce near-instant speech-to-speech translation of 36 languages

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/15/babel_fish_translations/ Source: The Register Title: ‘Savvy’ shortcuts produce near-instant speech-to-speech translation of 36 languages Feedly Summary: Babel Fish like ML model emerges after training on 4.5 million hours of multilingual spoken audio Meta has developed a machine learning model its researchers claim offers near-instant speech-to-speech translation between around 36 languages.… AI Summary and…

  • Hacker News: Training AI models might not need enormous data centres

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    Kurt Seifried
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    Source URL: https://www.economist.com/science-and-technology/2025/01/08/training-ai-models-might-not-need-enormous-data-centres Source: Hacker News Title: Training AI models might not need enormous data centres Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the increasing competition among tech leaders to secure vast computational resources, specifically GPUs, which are crucial for training advanced AI models like GPT-4. This arms race highlights…