CONVO OVER COFFEE ☕

• OpenAI has filed a trademark application for GPT-5 with the U.S. Patent and Trademark Office, suggesting future plans for the development of the advanced AI model. Although OpenAI CEO Sam Altman hasn't confirmed the active development of GPT-5, the new filing indicates that the model could offer natural language processing, generation, understanding, and analysis services. While the timeline for GPT-5 remains unknown, this preemptive move signals OpenAI's potential plans for the evolution of its groundbreaking AI technology.
  

• Christopher Brock used ChatGPT as his personal legal advisor, transforming the AI chatbot into a cost-effective solution for legal challenges. Brock used ChatGPT and Claude 2 to combat a county zoning permit denial and misdemeanor charges for building a shed without a permit. Feeding the bots with the state’s “Attorney’s Guide” and additional relevant PDFs, Brock emerged victorious. He foresees this innovative use of AI disrupting the legal industry by significantly reducing billable hours dedicated to investigation, research, and drafting filings. This foreshadows potential AI applications for legal industry.
  

• GitHub CEO, Thomas Dohmke, predicts that AI tool Copilot will write 80% of code "sooner than later." Copilot, which is powered by OpenAI’s Codex, is currently used by over 10,000 organizations and more than 30,000 Microsoft employees. Dohmke believes that while developers will need to review the AI-synthesized code for security and compliance, AI will change the nature of programming, enhancing developers' productivity, and freeing up more time for creative problem-solving. Dohmke shares that users report higher fulfillment with the tool and mentions a study which found that developers using Copilot were 55% faster at building a web server than those without, and achieved a higher success rate.
  

• AI-based clinical documentation is becoming a competitive field with Amazon, Microsoft, and Google introducing their respective offerings, such as Amazon's HealthScribe. These tools aim to alleviate the burden of documentation on healthcare professionals, increasing efficiency, and mitigating burnout. However, there are lingering concerns about the accuracy of these AI-backed transcription tools, as metrics haven't been disclosed by all players yet. Future applications of AI in healthcare could range from auto-drafting patient messages to streamlining database queries. But amidst the rush, cautionary voices underline the importance of accuracy, bias mitigation, and oversight, urging a measured approach to implementation.