Experimental News Clipping Site

Tag: computational costs

  • Simon Willison’s Weblog: DeepSeek 3.1

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Aug/22/deepseek-31/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek 3.1 Feedly Summary: DeepSeek 3.1 The latest model from DeepSeek, a 685B monster (like DeepSeek v3 before it) but this time it’s a hybrid reasoning model. DeepSeek claim: DeepSeek-V3.1-Think achieves comparable answer quality to DeepSeek-R1-0528, while responding more quickly. Drew Breunig points out that their benchmarks…

  • The Cloudflare Blog: Workers AI gets a speed boost, batch workload support, more LoRAs, new models, and a refreshed dashboard

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    Source URL: https://blog.cloudflare.com/workers-ai-improvements/ Source: The Cloudflare Blog Title: Workers AI gets a speed boost, batch workload support, more LoRAs, new models, and a refreshed dashboard Feedly Summary: We just made Workers AI inference faster with speculative decoding & prefix caching. Use our new batch inference for handling large request volumes seamlessly. AI Summary and Description:…

  • Hacker News: Sketch-of-Thought: Efficient LLM Reasoning

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    Source URL: https://arxiv.org/abs/2503.05179 Source: Hacker News Title: Sketch-of-Thought: Efficient LLM Reasoning Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text discusses a novel prompting framework called Sketch-of-Thought (SoT) aimed at optimizing large language models (LLMs) by minimizing token usage while maintaining or improving reasoning accuracy. This innovation is particularly relevant for AI…

  • The Register: Worry not. China’s on the line saying AGI still a long way off

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/03/05/boffins_from_china_calculate_agi/ Source: The Register Title: Worry not. China’s on the line saying AGI still a long way off Feedly Summary: Instead of Turing Test, subject models to this Survival Game to assess intelligence, scientist tells The Reg In 1950, Alan Turing proposed the Imitation Game, better known as the Turing Test, to identify…

  • Rekt: Patently Absurd

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    Source URL: https://www.rekt.news/patently-absurd Source: Rekt Title: Patently Absurd Feedly Summary: Lawyers draw blood over Zama and Sunscreen’s encryption tech. Open-source privacy tech bleeds as a patent battle threatens to nuke innovation. AI Summary and Description: Yes **Summary:** The text discusses a significant legal battle between two companies involved in Fully Homomorphic Encryption (FHE), focusing on…

  • Hacker News: Apple collaborates with Nvidia to research faster LLM performance

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    Source URL: https://9to5mac.com/2024/12/18/apple-collaborates-with-nvidia-to-research-faster-llm-performance/ Source: Hacker News Title: Apple collaborates with Nvidia to research faster LLM performance Feedly Summary: Comments AI Summary and Description: Yes Summary: Apple has announced a collaboration with NVIDIA to enhance the performance of large language models (LLMs) through a new technique called Recurrent Drafter (ReDrafter). This approach significantly accelerates text generation,…

  • Hacker News: Show HN: Prompt Engine – Auto pick LLMs based on your prompts

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    Source URL: https://jigsawstack.com/blog/jigsawstack-mixture-of-agents-moa-outperform-any-single-llm-and-reduce-cost-with-prompt-engine Source: Hacker News Title: Show HN: Prompt Engine – Auto pick LLMs based on your prompts Feedly Summary: Comments AI Summary and Description: Yes **Short Summary with Insight:** The JigsawStack Mixture-Of-Agents (MoA) offers a novel framework for leveraging multiple Language Learning Models (LLMs) in applications, effectively addressing challenges in prompt management, cost…

  • Hacker News: Omnivision-968M: Vision Language Model with 9x Tokens Reduction for Edge Devices

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    Source URL: https://nexa.ai/blogs/[object Object] Source: Hacker News Title: Omnivision-968M: Vision Language Model with 9x Tokens Reduction for Edge Devices Feedly Summary: Comments AI Summary and Description: Yes **Summary:** OmniVision is an advanced multimodal model designed for effective processing of visual and textual inputs on edge devices. It improves upon the LLaVA architecture by reducing image…

  • Hacker News: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces

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    Source URL: https://arxiv.org/abs/2410.09918 Source: Hacker News Title: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses a new model called Dualformer, which effectively integrates fast and slow cognitive reasoning processes to enhance the performance and efficiency of large language models (LLMs).…