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bthdonohue.com | ||
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www.eugenewei.com
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| | | | | [AI summary] The text explores the dynamics of social networks and status, highlighting the fragility of social capital and the challenges of sustaining network effects. It discusses the concept of 'proof of work' in social media platforms like TikTok and Musical.ly, where user-generated content is limited by the skills and interest of creators. The text also examines the risks of social capital inflation and devaluation, such as the collapse of Myspace and the Groucho Marx effect, where status hierarchies can reverse rapidly. Additionally, it references the importance of utility in maintaining user engagement and the need for proactive management of scarcity in digital platforms. The text concludes with a call for learning from industries like fashion to be... | |
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rolle.design
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| | | | | I wrote a blog post titled 'The day I decided to build my own "Twitter"' and I still stand behind it. Yet I returned to Twitter. What gives? | |
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til.simonwillison.net
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| | | | | OpenAI announced new models today. Of particular interest to me is the new gpt-3.5-turbo-16k model, which provides GPT 3.5 with a 16,000 token context window (up from 4,000) priced at 1/10th of GPT-4 - $0.003 per 1K input tokens and $0.004 per 1K output tokens. | |
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bair.berkeley.edu
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| | | [AI summary] The article introduces Koala, a dialogue model trained by fine-tuning Meta's LLaMA on dialogue data from the web, with a focus on interactions with large closed-source models like ChatGPT. The model's performance is compared to ChatGPT and Stanford's Alpaca, showing competitive results. The paper emphasizes the importance of high-quality training data for smaller models and highlights the potential for open-source models to match the performance of closed-source ones. However, it also acknowledges the limitations and safety concerns of Koala, including potential for misinformation and biases, and emphasizes its research prototype status for academic use. | ||
