Time complexity refers to the number of instructions a software executes, not the actual time taken to run the code.
Three common asymptotic notations for computing time complexity are Big Oh, Big Theta, and Big Omega.
Understanding time complexity bounds is essential in computer science and software engineering, as they are fundamental concepts that appear regularly.
Computers evolved quickly in their early years, with innovations being made and lost before becoming standardized.
Computer games with text came before those with graphics, highlighting the initial challenge of dealing with language.
Christopher Strachey, an early computer programmer, paved the way for text-based computer games and made significant contributions to the field of computer science.
In order to succeed, it's more important to be smart than fast. The tale of the mouse outsmarting the ox in the Zodiac race exemplifies this.
Apple's Vision Pro launch marks their entry into spatial computing, but they are not the pioneers in personal or mobile computing.
Apple aims to dominate individual interface access, while Meta focuses on connections and monetizing data. Both have different business focuses and target markets.
The Simulation Argument suggests that if technologically advanced civilizations are likely to create 'ancestor simulations,' then it's probable we are currently living in one.
A counterargument questions the high cost and resources needed to run simulations of confused minds, suggesting that the majority of minds in a location are likely correct about their reality.
The idea that simulating history is extremely cheap challenges the assumption that all possibilities will be pursued given finite resources and many potential simulations.
Log transformations can be used for efficient multiplication between large numbers by converting the problem into addition of logs, making it more manageable.
Logs have interesting properties that make them useful for handling computations with very large or very small numbers.
Using log transformations is a clever math technique that is commonly used in fields like AI, Big Data, and Machine Learning to handle large computations.
AGI development faces challenges in translating from a computer-based system to independently-operating physical entities, requiring decades of complex R&D
Historical examples show that novel engineering, especially without a basis of previous work, takes significant time, even for AGI with higher intellect
Human scientific progress evidences challenges and limitations in advancing technology efficiently, potentially slowing AGI's ability to advance rapidly
AI is introducing the third user-interface paradigm in computing history, shifting from command-based interaction to intent-based outcome specification.
The first UI paradigm was batch processing, where users submitted complete workflows and got results much later, usually with issues in usability.
Command-based interaction, the second UI paradigm, allowed users to assess and modify commands one at a time, with GUIs dominating for about 40 years; AI's intent-based paradigm reverses user control, representing a new era in UI design.
The Machine Acquisition Program helped DARPA researchers acquire expensive machines for AI research at a lower cost through negotiation with manufacturers.
The program had successful cost savings but faced challenges due to rapid technological changes, making some purchased machines obsolete within a few years.
Lessons learned included the importance of adapting to evolving technology, weighing risks of investing in rapidly changing fields, and considering long-term impacts of equipment purchases.
Tape was the first data storage medium, made of iron oxide with data inscribed by magnets, and tape art and music have explored its possibilities.
Music on tape has influenced data on tape, with notable examples like Brian Eno and Delia Darbyshire using tape as a creative tool.
Art, like music experimentation, serves as a space for safe exploration and where things can break, contributing to science and knowledge without being driven solely by profit or power.
The computing landscape is evolving dramatically in 2024, marked by the emergence of groundbreaking technologies beyond Generative AI.
VERSES AI is at the forefront of shaping this new computing paradigm, introducing a comprehensive framework for the future of computing.
Active Inference AI, exemplified by VERSES, represents a significant leap towards achieving Artificial General Intelligence in an energy-efficient and sustainable manner.
The use of genetically modified neurons to improve MRI imaging of the brain by producing protein-based contrast agents is an intriguing idea.
Real hedge funds do not seem to use certain advanced algorithms for portfolio selection despite proven performance improvement.
FPGA's are versatile hardware that can be programmed for various computational tasks and have applications in fields like antennas, random number generation, and hardware security.