Unveiling ChatGPT-3: Igniting AI Enthusiasm and Connected Car Technology Transformation

The release of ChatGPT-3, a generative AI model, by OpenAI in November 2022 sparked a surge in public interest in Artificial Intelligence (AI). ChatGPT briefly had the record as the fastest app to reach 100 million monthly active users (MAUs) in two months before it was broken by Threads reaching 100 million in five days. OpenAI’s website generated 1.8 billion visits in May.

The parameters used to train the model increased from 117 million in 2018 to a staggering 1 trillion in 2022 as shown in the table below:


Model Version Release Date Training Parameters
GPT-1 June 2018 117 million
GPT-2 February 2019 1.5 billion
GPT-3 June 2020 175 billion
GPT-4 November 2022 1 trillion (est.)


AI has already had a transformative effect across many markets such as using chatbots for customer service, assisting credit card companies in identifying fraud, and improving logistics through optimized routes.

Companies with fleet operations not using AI-powered connected car technology solutions face higher accident risks and costs, increased operational expenses, the potential for unexpected downtime and expensive repairs which places them at a competitive disadvantage.


AI is a field of computer science that is creating intelligent systems capable of performing tasks that typically require human intelligence. It involves developing algorithms and models that enable machines to learn, reason, and make decisions based on data and patterns. AI encompasses various subfields, including machine learning, natural language processing (NLP), computer vision, and robotics.

Early deployments of AI systems date back to the 1960s, with notable examples including the ELIZA program for conversation simulation and expert systems like DENDRAL for chemical analysis.

Generative AI is a subset of AI that specifically focuses on creating models and algorithms capable of generating new and original content, such as images, text, or audio. It uses techniques like deep learning, neural networks, and probabilistic models to produce outputs that mimic or create novel content based on patterns and examples from training data.

AI In Connected Car Technology

AI was initially used in connected car technology for route optimization by analyzing traffic data and suggesting optimal routes. AI is also being used to monitor driver behavior, analyzing factors like speed, acceleration, and braking patterns to identify risky driving behaviors and convert this data into driver scores. Additionally, AI is being deployed for predictive maintenance, using data on engine performance, fuel consumption, and usage patterns to anticipate maintenance needs and reduce downtime and repair costs.

Positioning Universal’s AI-Powered Dashcams

Positioning Universal’s AI-powered dashcams, coupled with our connected car technology devices and software, mitigate accident risks and associated costs, provide video evidence to help exonerate drivers from accident claims, optimize fuel consumption through route optimization, and enhance preventative maintenance activities to reduce downtime and expensive repairs.