We've only had a couple of years of GPT growing to a mass scale; a few months ago, an AI-generated image won an art contest, and now generative conversations, videos, and deepfakes are running rampant across the internet. I believe this is a pivotal moment in history, as some of the crazy tech we've seen in movies is making its way into a scope of possibility. Our world is quickly becoming one in which we're chatting with AI bots on Instagram and Snapchat, worried over AI text detectors, and asking Siri to generate a gluten-free version of your favorite recipe. You've probably already heard about ChatGPT's incredible growth to one million users in just five days. Microsoft released an all-new Bing, featuring a helpful (and sometimes inaccurate) chatbot that is rumored to be powered by GPT-4, the next generation of the popular large language model (LLM) GPT-3.

I believe it was Sartre who wisely said hell is conversational AI. Despite the best intentions of engineers, today's machine learning really is the savior and handicap of personal assistants. Berkeley based startup, Semantic Machines, might suffer the same Achilles' heel, but its team of 18 artificial intelligence PhDs thinks it can get farther than the current state of the… Read More

I believe it was Sartre who wisely said hell is conversational AI. Despite the best intentions of engineers, today's machine learning really is the savior and handicap of personal assistants. Berkeley-based startup Semantic Machines might suffer the same Achilles' heel, but its team of 18 artificial intelligence PhDs thinks it can get farther than the current state-of-the-art establishment. To understand what Semantic Machines is trying to build, you have to think about what existing personal assistants lack. Behind relatable names and repetitive humor, Siri, Google Assistant, Cortana and Alexa all essentially work the same way -- they recognize and parse speech, classify intent and then execute commands.