RinggCity Newsletter Ringg AI This week’s three big questions This week we are talking VC bets on AI hardware by small startups still have a shot and the ethics of AI in high stakes field like therapy plus your usual quick bytes with a rogue loan call moment in the bonus byte Why are VC funds certainly backing AI hardware startups? The AI Gold Rush is pushing investors downstream from software to silicon With Nvidia’s stock surge and demand for custom chips rising funds are betting on vertical integration TLV Parters Wall Street Journal Can small startups still compete in a world of open AI and Google? Yes if they build on top not next to the next breakout products are likely to be niche vertical and workflow native paperwork Global Venturing AiThority Is it ethical to use AI in therapy law or medicine? AI powered scribes and workflow tools are quietly taking over admin tasks letting doctors focus more on patients not paperwork Times of India Axios QuickBytes “Prompt: What would luxury brands tone of voice be if it had to sell tap water?” Great exercise in brand positioning copywriting and storytelling AI Jargon Token Limit: Every input you give an AI model is broken into tokens (words/parts of words). The model can only process a fixed number at once. (For GPT-4, that’s around 128k tokens around 300 pages of text.) Reccos (Recommendations) Watch: The Great Hack (Netflix) A gripping look at how data is recognized I must watch for anyone building in tech Meme Matrix Ai Powered Bonus Byte Day in the life of an AI calling assistant Today I waited on cold for 27 minutes just to remind someone their EMI was due, turns out they thought I was their mom all along ToolBench Kinaxix What It is: Supply chain management platform using AI to help companies plan smarter simulate scenarios and respond in real time How can you use it: Use Kinaxix to model what-if situations, Banis logistics disruptions and automate key operations across your supply chain all in one place Good for you if you are a founder operator dealing with complex logistics manufacturing dependencies for volatile supplier networks specially if speed and agility are critical