on Toshareproject.it - curated by Bruce Sterling
*If you reframe this notion as a “synthetic artist,” it becomes a little more interesting, because it’s basically a William Gibson “Idoru.” However, I’m not clear on why these functions and capabilities should ever be “united” in the first place. They’re indeed functions and capabilities, but why should they be bundled into an entity that’s given a human-like name? It’s like naming Amazon Alexa “Alexa.” Alexa has been. around for many years and has never become a beloved public figure of any kind.
https://shellypalmer.com/2024/04/building-your-first-synthetic-employee/
Back to the job at hand. Let’s outline some of the things that must come together to create “Synthia,” your company’s first synthetic employee.
Core Functions and Capabilities
Advanced Decision Making: Uses deep learning models to make strategic business decisions based on real-time global economic data, market trends, and internal business analytics.
Autonomous Problem Solving: Equipped with reinforcement learning algorithms that adapt over time, enabling the AI to solve complex business challenges independently.
Natural Language Processing (NLP): State-of-the-art NLP capabilities allow Synthia to understand, respond, and generate human-like text for communications, reports, and presentations. This includes multilingual support to communicate and operate globally.
Multimodal LLM: (Which would probably handle all of the required NLP.) Integrates and interprets various data types — including text, images, and audio — to understand and process complex information from diverse inputs, enhancing decision-making and interaction capabilities across different mediums.
Predictive Analytics: Utilizes machine learning models to predict market changes, customer behavior, and supply chain disruptions.
Personalization Engines: Tailors marketing strategies and customer interactions based on individual consumer data analysis.
Robotic Process Automation (RPA): Automates routine and complex tasks across all departments (such as finance, HR, and operations) to improve efficiency and accuracy.
Computer Vision: Processes and analyzes visual data from the environment to aid in tasks such as quality control, surveillance, and customer interaction in retail settings.
Emotional Intelligence: Uses affective computing to understand and react to human emotions, enhancing customer service and employee interactions.
Ethical AI Governance: Monitors and ensures that all AI operations adhere to ethical AI standards and compliance with global regulations.
*Bonus speculation: how many of these capabilities did Primo Levi’s “NATCA Versificatore” have back in 1960?
Natural Language Processing (NLP): State-of-the-art NLP capabilities allow Synthia to understand, respond, and generate human-like text for communications, reports, and presentations. This includes multilingual support to communicate and operate globally.
Multimodal LLM: (Which would probably handle all of the required NLP.) Integrates and interprets various data types — including text, images, and audio — to understand and process complex information from diverse inputs, enhancing decision-making and interaction capabilities across different mediums.
Personalization Engines: Tailors marketing strategies and customer interactions based on individual consumer data analysis.
Emotional Intelligence: Uses affective computing to understand and react to human emotions, enhancing customer service and employee interactions.