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Charlie and Oz reconnect after a year to tackle the question of our times: now that coding agents actually work, does learning computer science still matter — and is the agent an asset to your growth or a liability? They get into RLVR and why agents crossed the threshold, Amdahl's law as a metaphor for automated productivity, why Oz still wants everyone to write a little assembly, and the creeping fear that agents sap "the will to learn" the same way social media saps attention.
Then the constructive turn: using agents to build your own challenges within your zone of proximal development, why you should read the back of the textbook chapter first, and Oz's homework for Charlie — figure out what you earnestly want to learn, not what you feel you should.
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Brian "Beej Jorgensen" Hall joins Oz and Charlie to dive into the joy and art of learning computer science. It's all here - achieving flow, "How to Solve It" by Polya, self-publishing guides/books on the web, Beej's take on AI and coding, and, of course, the origin of the "Beej Jorgensen" moniker.
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Oz and Charlie vibe-chat their way through respective Mathacademy experiences + reviews, leading to a discussion of "binge learning" vs more-structured, consistent learning / time-tracking. Also, Oz shares that he's currently reading a math textbook with this incredible sentence in its introduction: "I consider the mathematical treatment of these problems to be among the chief glories of Western civilization, and I hope you agree."
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There's something about MathAcademy that just works for learning math (for both kids and adults - ask Reddit!), and we're chatting with Justin Skycak - Chief Quant & Director of Analytics at MathAcademy - to try to figure it out.
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Ammar Mian is a software engineer and the co-founder of startup health tech company Malla - and another former student of Oz's and Bradfield School of Computer Science! Many software engineers daydream about starting their own company one day, so we've got Ammar on the show this week to give us the goods. Is it still fun? Can you still get into flow? Are you still coding? Does Oz want to die on Mars? All this and more!
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Madison Kanna is a lifelong learner and self-taught programmer who learns in public, and Madison joins Oz and Charlie to share tactics for getting things done (with their learning goals) - and the importance of having fun along the way when learning computer science.
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Jason Benn is an ML engineer and truly the epitome of a lifelong learner (Cal Newport even wrote about Jason in one of his books on learning!). Oz and Charlie catch up with Jason on his current self-directed ML sabbatical - which he's corralled into a co-working cohort called mleclub.com (similar to Recurse Center but with an ML / AI focus). We discuss the tactical, strategic, and emotional side to effective self-directed learning, and close out with a new segment tentatively called "Would you read the top article on Hacker News right now?".
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Does your summer roadtrip across America include Saturn V Rockets, self-driving cars, dinosaur bones, and maybe Kittyhawk? Well, then you might be Oz and family! Charlie and Oz catch up on Oz's grand tour of America's inspiring hubs of ambition and technology, with plenty of detouring into the wonderful book genre of video game memoirs.
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Programming is the best! We're chatting with Thorsten Ball (self-published author of Writing an Interpreter in Go and Writing a Compiler in Go) about all of our mutual favorite topics: learning new stuff, great textbooks, writing, and why bugs are actually great (a gift, even!).
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Zach Latta is the founder of Hack Club (hackclub.com). Zach's a high school dropout who's now helped 30k high school students around the world start their own coding clubs. He also helped build the much-beloved "yo" texting app in 2014. This is a fun conversation about coding in school, being a kid, the importance of friendship in learning, and realizing that you can make awesome stuff with awesome people in this world.
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From the publisher's feed