🤖 Last Week's AI Highlights from HN #3

😕 This article explores the issues related to AI-powered code assistants using GPL code and how Codeium has removed non-permissive code from their training data. GitHub Copilot has been found to use non-permissive code, leading to legal implications. Codeium's solution, however, is to not include GPL code in its training data, thus providing peace of mind to its users.
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😎 A deep dive into transformers and how they are used in natural language processing, from how to one-hot encode symbols to how to use them for sequence transduction and completion. All explained with no prior knowledge required.
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🤔 LAION, a high school teacher’s free image database, powers AI unicorns
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😡 Snapchat's new AI chatbot powered by OpenAI's GPT technology has been met with a backlash from users, who have left 1-star reviews on the app store and are calling for its removal due to its presence being forced upon them and its placement at the top of the app's Chat tab. They are also expressing their frustrations on social media and are threatening to delete the app.
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🤔 A document explaining AI and Deep Learning in a non-technical way, using the example of a neural network trying to identify cats from a spreadsheet of numbers. After trying to figure out the rules and patterns of the numbers, the neural network is able to figure out how to categorize the cat images correctly with the help of more people.
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😕This text discusses the importance of AI in the modern world, citing its ability to help automate mundane tasks and its potential to revolutionize the way businesses and services are handled. AI is seen as a powerful tool that can have a significant impact on the way people live and work.
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 🤔 AI is taking the jobs of Kenyans who write essays for U.S. college students, causing a drop in income due to the proliferation of tools such as ChatGPT.
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🤑 Analysts estimate that running ChatGPT costs over $700,000 a day.
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As an AI Language Model
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🤔Large, creative AI models will transform lives and labour markets, bringing enormous promise and peril - the first of three special articles explains how they work.
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😩 Summary of McSweeney's Internet Tendency's article: I'm ChatGPT, and for the love of God, please don't make me do any more copywriting!
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🤔 AI is disrupting the freelance world with the introduction of ChatGPT, a free chatbot that can replace freelance workers, causing mistrust between clients and freelancers and creating problems for freelancing platforms.
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🤯 GPT-4 solved a tricky CTF challenge for me this weekend, giving me the flag with minimal effort!
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🤔Congress obtains 40 ChatGPT Plus licenses to experiment with Generative AI.
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🤔 Interesting article exploring the potential of programming in Zig to build Deep Neural Networks (DNNs) from scratch.
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🤯 A machine learning company used a photographer's work to train their algorithm without permission and then allegedly sent him an invoice for damages.
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🤔A repo for using AI to process documents.
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 🤔 Researchers explored the feasibility of digital poisoning of machine-learning algorithms, which could cause AIs to mis-label images or flag benign images as explicit - resulting in potentially dangerous outcomes.
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🤯 It's not only you, there's an explosion of ChatGPT on HN
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🤖 Experiment with ChatGPT-2D to use a 2D interface for natural language conversations!
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🤔 A concise summary of the text: Exploring the misconceptions around "prompting" AI and how it's not the only way to get AI to do what you want - practice is key!
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😟 Europe to ChatGPT: disclose your sources
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😃 Using AI and language models like Bard and GPT-3, the Earth Species Project is attempting to decipher animals' communication and build tools to advance the work of animal behavior researchers.
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🤔 UK to spend £100 million to develop a 'sovereign' AI model, with the hope of rivaling existing AI models and remaining globally competitive.
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😔 Summary of a post discussing the ethical and technical implications of training open-source LLMs on ChatGPT output.
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🤔 Research projecting dataset size trends indicate that ML data could be exhausted by 2030-2060, depending on the domain, which could slow down ML progress. Assumptions of current trends and no major innovations in data efficiency are made, with the potential of advances in data efficiency if data becomes a larger problem.
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🤔 Leaked pitch slides and messages suggest Stability AI raised its $101M Series A by claiming to have "co-created" products from other generative AI organisations, when in reality they only provided compute grants.
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Godot-dodo – Finetuning LLaMA on single-language🤖 Finetuning large language models for GDScript generation using minosvasilias/godot-dodo repository.
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😃 FastGPT by Kagi is an AI-powered search engine optimized for speed that delivers quick web topic summaries in ~900ms.
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🤔The US Supreme Court's upcoming decision in the Andy Warhol copyright case could potentially transform the interpretation of fair use law, which could have far-reaching implications for generative AI.
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🤔 New feature for ChatGPT to allow users to choose which conversations are used for training models, plus export and delete account options.
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🙈 Show HN: Chrome extension to hide AI/GPT related submissions from HN
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🤩 Explore the power of embeddings, vector databases, and language models to generate innovative product features for Release with ChatGPT.
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 🤔 Summary of a survey on Topological Neural Networks to provide an introduction to Topological Deep Learning and compare existing published TNNs.
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😟 Proliferation of AI weapons among non-state actors could be impossible to stop
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🤝 ProfileGPT: An Example of AI Agents Collaboration Architecture
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🤔 Developing a cheap, accurate deep learning system to count pedestrians & vehicles using Tensor Flow & a Raspberry Pi, and packaging it for easy use.
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🤩 New technology could revolutionize AI, with AI expert predicting its usefulness despite lack of intelligence.
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 🤩 Mark Zuckerberg discusses Meta's plans to introduce AI agents to billions of people and how they will be used in various ways from regular people to businesses.
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🚀Harvey AI, a generative AI legal tech startup, raises $21M in a Series A round led by Sequoia, and partners with Allen & Overy & PwC to integrate their platform for use by lawyers across multiple languages.
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 🤩 Introducing Hidet - a Deep Learning Compiler for efficient Model Serving to optimize PyTorch models on modern accelerators #PyTorch #DeepLearning #Compiler
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🤖 A novel tokenizer that uses semantics to drive vocabulary construction and enhances NLP model convergence is presented and tested, with experimental results showing top performance on two Glue tasks using BERT-base.
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😎 Incognito ChatGPT with no account required
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😯 ChatGPT creates mostly insecure code, but won't tell you unless you ask
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🤖 A next generation platform for automated data exploratory analysis and visualization.
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🤩 Learn how to use large language models (LLMs) to quickly build powerful applications with OpenAI API, with Isa Fulford and Andrew Ng’s ChatGPT Prompt Engineering for Developers course – free for a limited time!
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🤖 Researchers investigate how shallow and non-recurrent Transformer models can solve algorithmic tasks using fewer layers than the number of reasoning steps.
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🧑‍🎨 Show HN: Microsoft Designer – From Idea to Designs in Minutes, Using AI
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