Navigating the 🤖 Boom

Discover tools, strategies, and ethical considerations to succeed in the age of AI as a developer or creator. Dear Dev, dear Creator, dear Friend, for a while now, we have intentionally skipped talking about AI. The reason was that the topic was all over the news, and it seemed like every day there was something new to talk about. But honestly, it was just too much. And now, we can see that some things are converging, and we can finally see a clear path forward. As you know, AI has been a hot topic for a few years now, and it's not hard to see why. According to Goldman Sachs, AI is expected to add 7% to global GDP, and two-thirds of US occupations are exposed to some degree of automation by AI. It's clear that AI is going to be a game-changer. A [recent study](%2F%2Farxiv.org%2Fpdf%2F2303.10130.pdf%3Futm_medium=email%26utm_source=newsletter%26utm_campaign=HT/1/010101877a735afc-cee0207f-56b0-4464-aa6b-3ec9d0817821-000000/IzjBg_TMh-R5SY-qd6LorgyhZlA=318) published by OpenResearch sheds light on the potential impact of large language models (LLMs) on the job market. According to their analysis, nearly 19% of jobs have at least 50% of their tasks exposed to LLMs, taking into account both existing model capabilities and anticipated LLM-powered software developments. This finding highlights the increasing influence of AI technology on the workforce, as LLMs become more sophisticated and capable of performing complex tasks. In just the past week, we've seen some remarkable progress in various fields, from natural language processing to computer vision to machine learning. Autogpt, for example, is GPT-4 running fully autonomously. It can even fix code, set tasks, create new instances, and more, without any human intervention. The possibilities are endless, and we can expect that the things that will be created with this technology will be world-changing. Connect it with anything, and let GPT-4 do its thing by itself. The future will just end up being AI agents talking with other AI agents, it seems. So, how can you prepare for the coming AI boom? For starters, if you're a creator, you need to become a user of AI. You're probably already using GPT to write copy for your product catalogues on your e-commerce website, or using MidJourney or Dall-E to create art for ad campaigns. If you're a designer or artist, you may feel the kind of resentment that one Blender artist expressed in the Blender subreddit. But the fact is that you need to start getting good at using these tools now and understanding their limitations. The better you are at guiding the AI to create exactly what you want, the more you can take advantage of the current tools, and ramp up your productivity as the tools get better at taking instructions from you. As a developer, the most important thing you need to do right now is to stop being a user of AI and become a dev of AI. You need to start learning how to build your own AI models, and the fastest way to do that is by doing the [Practical Deep Learning for Coders](%2F%2Fcourse.fast.ai%2F%3Futm_medium=email%26utm_source=newsletter%26utm_campaign=HT/1/010101877a735afc-cee0207f-56b0-4464-aa6b-3ec9d0817821-000000/hmDhc_o9EiMRECLglrIhqSuPC1U=318) course at fast.ai. This course will teach you everything you need to know to get up to speed fast in the field, and it's the fastest way right now to transform yourself from an AI user into an AI dev. Once you've completed the course, you'll be able to use pre-trained models, create Jupyter Notebooks or fork others, create Hugging Face Spaces, and share your models and their output with the world. You'll also be able to take advantage of platforms like Kaggle, which offers free GPU access for verification and enables you to use a rich text environment to write your code, see the output, and run it on some fairly decent GPUs. The time has come for all of us to prepare for the AI boom that's just around the corner. As developers, we have a crucial role to play in shaping the future of AI, and it's up to us to start learning now and becoming experts in this field. Let's get started today and build a brighter future for us all. Exploring AI-Powered Programming Assistants Developers can now benefit from AI-driven pair programming assistants, such as [GitHub Copilot](%2F%2Fgithub.com%2Ffeatures%2Fcopilot%3Futm_medium=email%26utm_source=newsletter%26utm_campaign=HT/1/010101877a735afc-cee0207f-56b0-4464-aa6b-3ec9d0817821-000000/SRAuM77WfbXnyA5wM-kyiuXSBH4=318), which leverages the OpenAI Codex to offer real-time code suggestions and complete functions directly within your editor. This cutting-edge tool not only enhances productivity but also helps developers tackle complex problems with innovative solutions. However, for those seeking open-source or self-hosted alternatives, options like [FauxPilot](%2F%2Fgithub.com%2Ffauxpilot%2Ffauxpilot%3Futm_medium=email%26utm_source=newsletter%26utm_campaign=HT/1/010101877a735afc-cee0207f-56b0-4464-aa6b-3ec9d0817821-000000/omN4xcT0FkbnZqoOYsTarTtIelA=318) and [Tabby](%2F%2Fgithub.com%2FTabbyML%2Ftabby%3Futm_medium=email%26utm_source=newsletter%26utm_campaign=HT/1/010101877a735afc-cee0207f-56b0-4464-aa6b-3ec9d0817821-000000/tmg6Q8yCfayRCjwPJbQbH21ZrDM=318) provide valuable alternatives. FauxPilot is an open-source GitHub Copilot server alternative, allowing developers to access AI-generated code suggestions without relying on proprietary software. Similarly, Tabby offers a self-hosted AI coding assistant experience, acting as an open-source and on-premises alternative to GitHub Copilot. By exploring these AI-powered programming assistants, developers can accelerate their coding processes, improve code quality, and stay ahead in the ever-evolving world of technology. 5 Key Strategies to Thrive in the AI Revolution - Embrace AI Tools and Platforms: If you haven't already, familiarize yourself with AI tools such as GPT, MidJourney, Dall-E, and platforms like Hugging Face Spaces and Kaggle. These resources will help you stay ahead in the AI revolution and expand your skill set. - Continuous Learning and Adaptation: Stay up-to-date with the latest developments in AI, machine learning, and deep learning. Regularly engage with online courses, blogs, webinars, and podcasts to keep your knowledge fresh and relevant. - Collaborate and Network: Join online communities, forums, and social media groups focused on AI to share your experiences, learn from peers, and establish valuable connections within the industry. - Incorporate AI Ethics: Be mindful of ethical considerations when working with AI, such as privacy, security, and fairness. Ensure the AI models you develop or use are transparent, and accountable, and promote the responsible use of technology. - Focus on Problem-Solving: Leverage AI to solve real-world problems and generate value. Identify challenges within your domain and explore how AI can provide innovative solutions, demonstrating its potential for positive impact. Around the Web: - TDD Coding Agent: You write the tests - and the agent runs in a loop until it creates the feature properly! See it in action here: [(%2F%2Ftwitter.com%2Fadamcohenhillel%2Fstatus%2F1644836492294905856%3Futm_medium=email%26utm_source=newsletter%26utm_campaign=HT/1/010101877a735afc-cee0207f-56b0-4464-aa6b-3ec9d0817821-000000/3B48_Bfq-A-NmMeClhg_UZOKUfY=318) - GPT-4 Week 3: There is a person on Reddit compiling the latest happenings in the field. Check it out at: [(%2F%2Fwww.reddit.com%2Fr%2FChatGPT%2Fcomments%2F12diapw%2Fgpt4_week_3_chatbots_are_yesterdays_news_ai%2F%3Futm_medium=email%26utm_source=newsletter%26utm_campaign=HT/1/010101877a735afc-cee0207f-56b0-4464-aa6b-3ec9d0817821-000000/WIA7N6WLR99orgrOM9tlM88oWMA=318) - What to Do About AI: This blog post from Wordfence discusses the challenges that AI poses to cybersecurity and explores potential solutions to these challenges. It provides a great overview of the current state of AI and its impact on society. You can read it at: [(%2F%2Fwww.wordfence.com%2Fblog%2F2023%2F04%2Ffriday-long-read-what-to-do-about-ai%2F%3Futm_medium=email%26utm_source=newsletter%26utm_campaign=HT/1/010101877a735afc-cee0207f-56b0-4464-aa6b-3ec9d0817821-000000/_HNy-nGyGQ2Ai2nodt7NfvHEy94=318) - Llamas are the answer to AI taking over our jobs: This article from Generational.pub takes a humorous approach to the serious topic of AI taking over human jobs. It suggests that llamas could be the solution to this problem, as they possess unique skills that cannot be replicated by AI. Check it out at: [(%2F%2Fwww.generational.pub%2Fp%2Fllamas-are-the-answer-to-ai-taking%3Futm_medium=email%26utm_source=newsletter%26utm_campaign=HT/1/010101877a735afc-cee0207f-56b0-4464-aa6b-3ec9d0817821-000000/8Jpou70n_9h9FediI5NVz7kxgqw=318) - Awesome ChatGPT: This curated list on GitHub provides a collection of resources, libraries, SDKs, APIs, and more related to ChatGPT. It's a great resource for anyone interested in building conversational AI applications using GPT. You can find it at: [(%2F%2Fgithub.com%2Feon01%2Fawesome-chatgpt%3Futm_medium=email%26utm_source=newsletter%26utm_campaign=HT/1/010101877a735afc-cee0207f-56b0-4464-aa6b-3ec9d0817821-000000/zrdhMgpT9Q5qWXBlSU3IBabQJrQ=318) - Visualizing and Understanding Tiny GPT Models: Gain a unique perspective on how AI models function by studying and interacting with a baby GPT model. You can find it at: [ May the AI be with you, Niko How would you rate this email? 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