Greetings,

Another job is threatened by AI. ChatGPT’s Code Interpreter is coming for data analysts… or is it? Many experts say ‘not really’ because, same as with programming or writing, humans still need to guide and supervise AI to make sure that it’s correct. To those afraid of being replaced I’d say don’t waste time worrying, spend that time learning to use AI to streamline your work.

• The French Minister of Economy wants a European ChatGPT alternative by 2028 – a plan that will probably end like the French search engine Quaero that was supposed to compete with Google in 2006. - 01Net, ArsTechnica
  
  
• Writing prompts for LLMs is difficult, but if you have access to OpenAI’s API then this tool can help you – describe a task and it will write, test, and rank the best prompts to accomplish it. - GitHub
  
  
• To thrive in the AI world, programmers should focus on best practices, test and find the right AI tools for their needs, learn to communicate with AI, and be critical of AI’s outputs. - IEEE
  
  
• Research suggests that data produced by humans will become even more valuable in the future, because training AI models on synthetic data leads to terrible results. - Alexandra Barr
  
  
• The future of AI-powered video games is really exciting – Unity is bringing it closer with Muse, which will eventually create and code all types of game assets, and Sentis, which embeds AI into the game engine to enhance end-user experience. - Unity
  
  
• Newly designed architecture opens up the context window of LLMs to 1 billion tokens (GPT-4 maxes out at 32,768) – potentially making it possible to fit the whole internet into one LLM sequence. - Arxiv, GitHub
  
  
• Now available to premium users, Code Interpreter is ChatGPT’s most powerful tool yet, some think it could steal all data analyst jobs – Ethan Mollick says yes, it does tasks in seconds that experts need weeks to master, but no, it won’t replace humans. - OneUsefulThing

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