Will 100K Context Windows Kill Vector Databases?

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• 🔐 OpenAI Readies New Open-Source AI Model

• 🛑 Will 100K Context Windows Kill Vector Databases?

• 📦 Amazon Is Focused on Using A.I. Not Making A.I.

• 🌐 EU’s AI Act, Closer to Becoming Law

• 🖼️  A.I. Generated Image of the Day

• ⚡️ A.I. Meme of the Day

OpenAI Readies New Open-Source AI Model

Once upon a time, OpenAI was a strong supporter of open-source technology. They believed in sharing their AI models and code with the public, allowing everyone to benefit from their advancements. However, something changed along the way. OpenAI made a significant shift and decided to become a closed-source for-profit company. The exact moment when this transformation occurred remains a mystery, but it became noticeable around the time they released the GPT-3 language model in June 2020.

This change sparked concerns among people who had hoped for continued collaboration and transparency in the development of AI. They worried that the shift towards closed-source models would limit access and hinder progress in the field. Open-source language models like LLaMA by Meta and StableLM by Stability AI are gaining traction, and history has shown that open-source software often prevails over closed-source alternatives.

To learn more about this story, you can check out The Information article, although please note that it may require a subscription to access.

Will 100K Context Windows Kill Vector Databases?

While the recent upgrades to models with large context windows are exciting, the practical implications must be considered. The cost per token and increased latency associated with extensive context windows can pose obstacles for widespread adoption. Furthermore, vector databases serve a wide range of purposes beyond language models, making them invaluable for various applications. Striking a balance between context size, cost, and latency will be crucial for maximizing the effectiveness of AI systems in real-world scenarios. More analysis in this tweet.

Amazon Is Focused on Using A.I. Not Making A.I.

Amazon is utilizing artificial intelligence (AI) to enhance its delivery operations by reducing the distance between products and customers, according to a top executive. The company is using AI in various areas, including transportation for route mapping, weather considerations, and assisting customers in finding the right products. However, Amazon's primary focus is using AI to optimize inventory placement, ensuring products are located closer to customers to enable faster deliveries. By analyzing data and patterns, AI helps predict demand and determines the best locations for inventory. Amazon is also leveraging robotics to automate repetitive tasks in its fulfillment centers, with 75% of customer orders involving robotics. The company sees automation and AI as collaborative tools that transform job roles rather than eliminating them, emphasizing the evolving nature of work in fulfillment centers.

EU’s AI Act, Closer to Becoming Law

The EU's amended AI Act has raised concerns as it could prohibit American companies from providing API access to generative AI models. It would also enforce registration of "high-risk" AI projects, disclose data sources, require costly risk testing, and post-release monitoring. Critics argue that the act is overly broad, vague, expensive, and detrimental to innovation and the European tech ecosystem. The act's lack of clear definitions, potential chilling effect on innovation, and difficulties for small businesses are among the specific criticisms. However, the EU defends the act as necessary for consumer protection and AI system safety. Whether the amended AI Act will be adopted and its potential legal challenges remain to be seen.

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Midjourney Prompt - street style photograph, medium shot of old man sitting with Turkish coffee on table in Istanbul cafe, shot on Kodak Portra 400 film, morning natural lighting, global illumination, natural features --ar 3:2

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Popular memes in Disney Pixar style….

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