One of the biggest large language model vendors is about to be offered as public shares sold on the stock exchange in an initial public offering. Anthropic’s industry emerged from research conducted at Google in 2017 on the generative pre-trained transformer architecture. (GPT is used to create the large language models that now proliferate broadly across the world technology sector.) Simply stated, LLMs generate predictive text, images or code for the future based on things said or indexedd in the past. There is an often quoted idiom that history doesn’t repeat, but it often rhymes with the past. Recently many people have been thinking about the emergence of the LLM industry in light of all the private companies hoping to sell their shares in the near future. I've been thinking and discussing a lot about one of the concepts Anthropic pioneered as a now-standardized web architecture called MCP, model context protocol . (MCP can be thought of like a handshake between agentic syst...
50 years after my father’s plane crash, three journalists tracked our family down. News reports from the aftermath of the crash of Eastern Flight 212 had floated around and came across the desk of the Charlotte Observer, the newspaper that had reported on the crash in 1974. My father’s voice was one of those you could hear in the TV newscaster report. He said “another voice lost in time of an anonymous survivor.” The Charlotte Observer journalists reached out asking if they could interview my father and me about the impact the crash had on our lives and how we reflected back on the time through the years. I knew the story very well. My father had recounted it to me and my brother numerous times. We thought about September 11th differently than most people. We had written a narrative account of what happened that day. So had an Associated Press reporter who resigned from AP with the intent to tell the story of that tragedy that created the “Sterile Cockpit Rule” that forever ...