Experimental News Clipping Site

Tag: tokens

  • The Register: Even at $200/mo, Altman admits ChatGPT Pro struggles to turn a profit

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/06/altman_gpt_profits/ Source: The Register Title: Even at $200/mo, Altman admits ChatGPT Pro struggles to turn a profit Feedly Summary: But don’t worry, he’s ‘figured out’ AGI comment Even at $200 a month for ChatGPT Pro, the service is struggling to turn a profit, OpenAI CEO Sam Altman lamented on the platform formerly known…

  • Hacker News: RT-2: Vision-Language-Action Models

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    Source URL: https://robotics-transformer2.github.io/ Source: Hacker News Title: RT-2: Vision-Language-Action Models Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the evaluation and capabilities of the RT-2 model, which exhibits advanced emergent properties in terms of symbol understanding, reasoning, and object recognition. It compares RT-2, trained on various architectures, to its predecessor and…

  • Hacker News: Large Concept Models: Language modeling in a sentence representation space

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    Source URL: https://github.com/facebookresearch/large_concept_model Source: Hacker News Title: Large Concept Models: Language modeling in a sentence representation space Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the implementation and experiments related to Large Concept Models (LCMs) as part of language modeling in a semantic representation space. By utilizing SONAR embeddings for multiple…

  • Simon Willison’s Weblog: Things we learned out about LLMs in 2024

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    Source URL: https://simonwillison.net/2024/Dec/31/llms-in-2024/#atom-everything Source: Simon Willison’s Weblog Title: Things we learned out about LLMs in 2024 Feedly Summary: A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying…

  • Hacker News: Coconut by Meta AI – Better LLM Reasoning with Chain of Continuous Thought?

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    Source URL: https://aipapersacademy.com/chain-of-continuous-thought/ Source: Hacker News Title: Coconut by Meta AI – Better LLM Reasoning with Chain of Continuous Thought? Feedly Summary: Comments AI Summary and Description: Yes Summary: This text presents an innovative approach to enhancing reasoning capabilities in large language models (LLMs) through a method called Chain of Continuous Thought (COCONUT). It highlights…

  • Hacker News: Explaining Large Language Models Decisions Using Shapley Values

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    Source URL: https://arxiv.org/abs/2404.01332 Source: Hacker News Title: Explaining Large Language Models Decisions Using Shapley Values Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper explores the use of Shapley values to interpret decisions made by large language models (LLMs), highlighting how these models can exhibit cognitive biases and “token noise” effects. This work…

  • Hacker News: Running DeepSeek V3 671B on M4 Mac Mini Cluster

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    Source URL: https://blog.exolabs.net/day-2 Source: Hacker News Title: Running DeepSeek V3 671B on M4 Mac Mini Cluster Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides insights into the performance of the DeepSeek V3 model on Apple Silicon, especially in terms of its efficiency and speed compared to other models. It discusses the…

  • Slashdot: Chinese Firm Trains Massive AI Model for Just $5.5 Million

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    Source URL: https://slashdot.org/story/24/12/27/0420235/chinese-firm-trains-massive-ai-model-for-just-55-million Source: Slashdot Title: Chinese Firm Trains Massive AI Model for Just $5.5 Million Feedly Summary: AI Summary and Description: Yes Summary: The release of DeepSeek V3, a powerful open-source language model developed by a Chinese AI startup, signifies a noteworthy achievement in AI research. This model is trained with significantly lower computational…

  • Simon Willison’s Weblog: DeepSeek_V3.pdf

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    Source URL: https://simonwillison.net/2024/Dec/26/deepseek-v3/#atom-everything Source: Simon Willison’s Weblog Title: DeepSeek_V3.pdf Feedly Summary: DeepSeek_V3.pdf The DeepSeek v3 paper (and model card) are out, after yesterday’s mysterious release of the undocumented model weights. Plenty of interesting details in here. The model pre-trained on 14.8 trillion “high-quality and diverse tokens" (not otherwise documented). Following this, we conduct post-training, including…