The best Hacker News stories from All from the past week
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DOGE's only public ledger is riddled with mistakes
DOGE's only public ledger is riddled with mistakes
I found a backdoor into my bed
Apple pulls data protection tool after UK government security row
Apple pulls data protection tool after UK government security row
Grok3 Launch [video]
Valve releases Team Fortress 2 code
X users are unable to post “Signal.me” links
All Kindles can now be jailbroken
“A calculator app? Anyone could make that”
“A calculator app? Anyone could make that”
We were wrong about GPUs
Resigning as Asahi Linux project lead
Leaking the email of any YouTube user for $10k
Firing programmers for AI is a mistake
I tasted Honda’s spicy rodent-repelling tape and I will do it again (2021)
Surnames from nicknames nobody has any more
Undergraduate shows that searches within hash tables can be much faster
Modern-Day Oracles or Bullshit Machines? How to thrive in a ChatGPT world
Jevin West and I are professors of data science and biology, respectively, at the University of Washington. After talking to literally hundreds of educators, employers, researchers, and policymakers, we have spent the last eight months developing the course on large language models (LLMs) that we think every college freshman needs to take.<p><a href="https://thebullshitmachines.com" rel="nofollow">https://thebullshitmachines.com</a><p>This is not a computer science course; it’s a humanities course about how to learn and work and thrive in an AI world. Neither instructor nor students need a technical background. Our instructor guide provides a choice of activities for each lesson that will easily fill an hour-long class.<p>The entire course is available freely online. Our 18 online lessons each take 5-10 minutes; each illuminates one core principle. They are suitable for self-study, but have been tailored for teaching in a flipped classroom.<p>The course is a sequel of sorts to our course (and book) Calling Bullshit. We hope that like its predecessor, it will be widely adopted worldwide.<p>Large language models are both powerful tools, and mindless—even dangerous—bullshit machines. We want students to explore how to resolve this dialectic. Our viewpoint is cautious, but not deflationary. We marvel at what LLMs can do and how amazing they can seem at times—but we also recognize the huge potential for abuse, we chafe at the excessive hype around their capabilities, and we worry about how they will change society. We don't think lecturing at students about right and wrong works nearly as well as letting students explore these issues for themselves, and the design of our course reflects this.
Teen on Musk's DOGE team graduated from 'The Com'