maxhodges

Surely, that downtime quote is apocryphal. The early decades were plagued by poor service due to maintenance, mechanical failure, and human error. In the early decades, manual switchboards were the primary method of connecting calls. The intense workload and physical demands on operators often led to service disruptions . In 1907, over 400 operators went on strike in Toronto, severely impacting phone service. The strike was driven by wage disputes, increased working hours, and poor working conditions

They didn't have downtime logs, but that doesn't mean that the rapid growth of telephone demand didn't outpace the Bell System's capacity to provide adequate service. The company struggled to balance expansion with maintaining service quality, leading to intermittent service issues .

Bell System faced significant public dissatisfaction due to poor service quality. This was compounded by internal issues such as poor employee morale and fierce competition.

I think that's an oversimplification and not quite the core value proposition. Implementing a solution is just the beginning. Systems evolve, so software development is not only about delivering solutions but also about enabling their maintenance and evolution.

I view programming languages and software dev tools as fundamentally about the management of complexity.

The evolution of software development tools reflects a continuous effort to manage the inherent complexity of building and maintaining software systems. From the earliest programming languages and punch cards to simple text editors, and now to sophisticated IDEs, version control systems, and automated testing frameworks, each advancement enables better ways to manage and simplify the overall development process. These tools help developers handle dependencies, abstract away low-level details, and facilitate collaboration, ultimately enabling the creation of more robust, scalable, and maintainable software.

Notable figures in software development emphasize this focus on complexity management. Fred Brooks, in "The Mythical Man-Month," highlights the inherent complexity in software development and the necessity of tools and methodologies to manage it effectively. Eric S. Raymond, in "The Cathedral and the Bazaar," discusses how collaborative tools and practices, especially in open-source projects, help manage complexity. Grady Booch's "Object-Oriented Analysis and Design" underscores how object-oriented principles and tools promote modularity and reuse, aiding complexity management.

Martin Fowler, known for advocating the use of design patterns in his book "Patterns of Enterprise Application Architecture," emphasizes how patterns provide proven solutions to recurring problems, thereby managing complexity more effectively. By using patterns, developers can reuse solutions, improve communication through a common vocabulary, and enhance system flexibility. Fowler also advocates for continuous improvement and refactoring in his book "Refactoring" as essential practices for managing and reducing software complexity. Similarly, Robert C. Martin, in "Clean Code," stresses the importance of writing clean, readable, and maintainable code to manage complexity and ensure long-term software health.

While speed and efficiency are important, the core value of software development lies in the ability to manage complexity, ensuring that systems are robust, scalable, and maintainable over time.

What's the scam with Worldcoin?

Those of us with professional knowledge of AI understand this already. Who are you arguing against? Still, the scale of GPT-3's model makes it novel, useful, and interesting.

GPT-3 doesn't have any knowledge of how the world actually works.

I agree, it lacks what we'd consider robust, semantic models of common sense knowledge. However, my dog doesn't understand how the world actually works either, yet he can do many things most people would consider intelligent. Besides, most people are able to operate mobile phones, play computer games, operator automobiles, and turn on the lights without knowing how these things "actually" work. So is that even a prerequisite for intelligence?

Some people

Who specifically? I have to admit, the views you are criticizing are preposterous but then what I want to know is why you're wasting your time and ours criticizing such junk? Some people think the earth if flat, but it's not worth arguing with them.

because GitHub's uptime of 99.9912% isn't good enough for you? Even during this attack we were able to push and pull to our projects off and on. https://status.github.com/graphs/past_month