The Classic Mac OS refers to the operating system that Apple Macintosh computers ran from 1984 to 2001. While it was one of the first popular operating systems to feature a graphical user interface, it hit some very real growing pains by the 1990s. In this episode, prolific hacker of the classic Mac OS, Elliot Nunn, joins us to dive into some of the quirks of this landmark operating system. We discuss some of its unique traits, how it compares to a modern operating system, and some of Elliot's projects to reverse-engineer it. By the end of the episode you'll have a much stronger understanding of how the Classic Mac OS (System 1 through Mac OS 9) worked.

• Elliot Nunn's Website
• Elliot Nunn on GitHub
• Elliot Nunn on Mastodon
• os9.shop
• Classic Episode: What is an Operating System?
• Episode 111: The Apple Lisa
• Episode 38: The History of macOS
• Episode 29: Why was the Original Macintosh Significant?

You can also find Elliot on #mac68k on Libera.Chat

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On July 19th, 2024, the cybersecurity firm CrowdStrike released an update for its Falcon Sensor software that brought down millions of Windows computers around the world. Some of these computers were involved in critical infrastructure like airlines, hospitals, and governments. Falcon Sensor, which hooks into the Windows kernel, was certified by Microsoft and cryptographically signed. The update triggered a classic (and common) bug reading past the end of an array. It not only crashed Windows, but didn't even allow it to complete its boot process. In this episode we explain what the bug was and why CrowdStrike did not catch it before it had the opportunity to bring down millions of machines.

• Classic Episode: What is an Operating System?
• CrowdStrike's Report on the Incident

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Approximately one in four consumers uses an ad blocker. But do they stop to consider whether that is actually a good thing for them? In this episode, we briefly touch on the technical aspects of ad blockers before having a larger discussion around the ethical and economic considerations of ad blocking technology.

• Episode 6: How Does the Web Work?
• Episode 82: What Are Cookies?
• Ad Blocking - academic article mentioned in episode

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Machine Learning is a discipline within the broader field of Artificial Intelligence concerned with using insights from datasets to make predictions, classify new data points, and generate content. The algorithms used vary greatly in complexity and the real world applications that they are applicable to. Instead of concentrating on any particular algorithm, in this episode we aim to provide a broad understanding of machine learning and what it is used for. We also discuss bias in datasets and some common misconceptions.

You may want to listen to our prior episode on Artificial Intelligence before diving into this episode.

• Episode 13: Artificial Intelligence
• Episode 103: Expert Systems: A Forgotten Area of AI
• The Classic Computer Science Problems Book Series by David
• The Hundred-Page Machine Learning Book by Andriy Burkov

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Abandonware is old software that is no longer commercially available. It's not a legal term, and in fact it's not legal to download most of the software that is termed "abandonware." In this episode we explain what abandonware is, the different legal situations that old software finds itself in, and we discuss whether or not downloading abandonware is ethical.

• Episode 10: What is an Emulator?
• Episode 26: Napster

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Grace Hopper is one of the most iconic people in the world of software. Her career as a mathematician, software innovator, computer science advocate, programmer, and technical leader spanned the early era of computing through to the 1990s. One of the first notable computer programmers, Hopper developed the first programming text book, one of the first compilers, and perhaps most importantly she was the visionary who ideated and developed the first programming language with an English-like syntax. That programming language, FLOW-MATIC, was instrumental in the later development of COBOL, which she advised. COBOL is still used to this day. Her contributions were immense and her legacy has been honored by multiple national awards and the naming of the largest conference for women in software.

• Harvard IBM Mark I - Manual via Harvard
• The Queen of Code via YouTube
• Grace Hopper: The Math Genius who Taught Computers to Talk via Fierce
• Grace Hopper: Full lecture at the University of Tennessee, 1983 via YouTube
• Grace Hopper via Wikipedia
• FLOW-MATIC via Wikipedia
• Episode 11: What is a Programming Language?
• Episode 87: Compilers and Interpreters
• Episode 129: BASIC

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The creation of BASIC was one of the most important steps in the democratization of computing. BASIC, coupled with the Dartmouth Time Sharing System, was developed by math professors John Kemeny and Thomas Kurtz along with a team of undergraduate students at Dartmouth College in 1964. They revolutionized who could use and access a computer. In the 1970s BASIC became the defacto standard interface to early personal computers. In this episode we contextualize BASIC, tell its story in broad strokes, and explain why it was so successful.

• Birth of BASIC Documentary by Dartmouth College via YouTube
• BASIC at 50 Website via Dartmouth College
• First BASIC Instruction Manual via Dartmouth College
• BASIC via Wikipedia
• Dartmouth Time Sharing System via Wikipedia
• Episode 16: The Personal Computer Revolution
• Episode 11: What is a Programming Language?

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Many large sophisticated machine learning models, like those employed in generative AI, are trained on immense amounts of copyrighted images or text. How is that legal? In this episode we delve into the exceptions to copyright law that enable such uses to not be seen by courts as infringement. This includes expressive vs functional uses of a copyrighted work, fair use, and the possibility of a data mining safe harbor law. We also discuss whether such interpretations are to the benefit or detriment of society as a whole.

A note: as mentioned in the episode, we are not lawyers, and this episode should not be considered legal advice. It is just a discussion of the issue based on our somewhat limited understanding of the legal arguments and expanded to consider the societal implications. Also as mentioned in the episode, we based much of our understanding on the article "Does Training AI Violate Copyright Law?" by Jenny Quang which is linked below in the show notes.

• Does Training AI Violate Copyright Law? by Jenny Quang via Berkeley Technology Law Journal

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