TL;DR (Too Long; Didn't Read): Common internet/email abbreviation indicating that if you don't have time to read the longer content, read this short blurb for the gist.
AI (Artificial Intelligence): A subfield of computer science focused on creating intelligent machines capable of performing tasks that require human intelligence, such as natural language understanding, decision-making, and problem-solving.
Capital Markets: Financial markets for buying and selling equity and debt instruments, often facilitating the raising of capital for companies and governments.
Generative AI: A subset of AI that can generate new content, such as text or images, based on patterns learned from large corpora of data. These models are particularly useful in a range of applications, seemingly able to mimic more complex elements of human cognition (with specific, important limitations).
LLM (Large Language Models): Machine learning models trained on massive datasets to understand and generate human-like text. These models have applications in chatbots, translation services, and content creation.
Consciousness: In the context of AI, refers to the theoretical ability of a machine to have self-awareness and subjective experiences, a topic of ongoing debate among ethicists, scientists, and philosophers.
Open Source: Software or models whose source code is made publicly available, allowing anyone to view, modify, and distribute it. Open-source projects often have community contributions and are less restrictive than proprietary software.
Autonomy: The capacity for self-governance. In the context of AI, this often refers to the ability of a system to operate and make decisions without human intervention.
Coding AI: Artificial intelligence models specifically designed to assist with or automate coding tasks, such as code completion, debugging, or even writing entire programs.
Enterprise Market: Refers to the market that sells technology solutions and services to large organizations rather than individual consumers. Products are often customized and sold in larger quantities.
Series D Financing: A late-stage venture capital funding round, often the last step before an IPO. Companies use Series D to expand market reach, acquire other businesses, or prepare for public trading.
Fine-Tuning: The process of adapting a pre-trained machine learning model for a specific task. Fine-tuning involves additional training on a smaller dataset related to the task.
Data Center: A facility used to house and manage computer systems and related components, such as telecommunications and storage systems. It generally includes backup power supplies, data communication connections, and environmental controls.
Topline Revenue: The total revenue generated by a business before any expenses are subtracted. In financial reporting, it is often the first line, or "top line," on an income statement.
Intellectual Property (IP): Legal rights (patents, copyrights, trademarks, etc.) that protect the creations, inventions, and discoveries of individuals or organizations. In the digital age, this includes software code, algorithms, and data.
Valuation: The process of determining the current worth of an asset or a company. In the context of startups, valuation is often estimated based on future potential.
FOMO (Fear Of Missing Out): An emotional response driven by the desire to stay informed and involved, often cited as a reason for quick decision-making in investments or technology adoption.