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Casey Muratori
@cmuratori
Programming: Comics:
158 Following    77.3K Followers
For those who enjoyed our "Wading through AI" chat with @cmuratori on Math and AI, I recommend the discussion below (I am not involved). Three professors, including a PDE/Navier-Stokes expert, explore many topics we touched, but from a perspective inside academia.
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For those of you too young to remember who Accenture is...
We’re partnering with Accenture on independent evaluation of frontier AI—part of our recent commitment to embed evaluators at Anthropic. Both we and Accenture expect to invest at least $1 billion to build capacity in this area over the next five years.
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The keyboard and trackpad from the early 2000s Thinkpad T42 series laptops are the Lycurgus Cup of computer hardware. Modern manufacturers have lost the capability to make anything comparable.
What is the explanation for this, BTW? Is there some low-rent AI image generation app they are all using because they don't know better? We clearly have AI models that can generate realistic-looking food imagery, but a large number of restaurants aren't using them.
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We’re living through a mass psychosis event where restaurant owners are somehow convincing themselves that AI food with the texture of maggots looks better than an iPhone photo printed on a sign.
If killing people was as difficult as writing CSS we would already have world peace
Models can’t even write CSS and every headline is about AI killing us
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I sat down down with Ryan Peterman for a great discussion about computer history. I was really excited to get this invitation because Peterman Pod is a fantastic podcast I listen to all the time, so if this is your first time hearing about it, check out the whole channel!
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My goal was to record a conversation completely free of "AI doomer" takes as a timeline cleanser. For this episode, I interviewed Casey Muratori (@cmuratori) who is a video game developer and programming creator also known for his talks about the history of computing. In this episode: • Surprising findings in computer history • Where bad code comes from • The only unbreakable law in software engineering • His career in the video game industry • Why you should read technical papers Where to watch: • YouTube - • Spotify - • Apple Podcasts - • Transcript - Thank you to the sponsors of this episode for supporting my work: • Jira by Atlassian: Get more work done with your favorite agents and models all in one place, check them out at • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at Chapters: 00:00 Intro 01:08 Digging into computer science history 04:08 What shocked him 16:23 Dijkstra was depressed 26:17 The personal side of goto considered harmful 35:09 The anatomy of a 35 year mistake 50:12 Clean code horrible performance 58:33 How to write high performance code 01:01:18 Where bad code comes from 01:06:37 Why design docs before code is a bad idea 01:09:20 The only unbreakable law in software engineering 01:15:57 How he got into programming 01:21:16 Why he didnt work in big tech 01:30:44 Should you work at a startup early on 01:34:52 What video game engineering is like 01:39:57 Why preventing recursion is reasonable 01:43:24 Is vibe coding bad for the industry 01:50:17 Technical reading recommendation 01:54:27 Advice for his younger self 01:56:54 Outro
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New episode of Wading Through AI is up! Just in time to make sense of the OpenAI/Navier-Stokes situation, Demetri walks me through what's been going on with AI use in formal mathematics:
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I'm not so good at memes. Do I have this basically right?
Once you use the innovative snapping in the @Blick_Editor timeline, you are very sad when you have to use an editor that doesn't have it. Excellent design work here from the Blick team!
I don't follow this explanation. Could someone at one of these labs complete the thought publicly, so I can understand exactly what is being proposed? What difference would it make if your company "gets there first"? What specifically are you going to instruct your first-mover human-extinction-capable ASI to do that will prevent competitors from also getting to that same point shortly afterward, and therefore still having the human-extinction-capable ASI you claim you must prevent them from getting? In other words, if the argument for Anthropic building ASI is that it's too dangerous to allow OpenAI to build ASI, what specific steps would Anthropic take using their ASI to prevent OpenAI from achieving ASI sometime thereafter?
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A common response is “if they truly believe this, why are they still building it?” At OpenAI, many have not deeply internalized the civilizational stakes. At Anthropic, the stakes are well-understood, but they are locked in a race to get there first - they believe no one else will act responsibly, so they must do it themselves, despite the risk.
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Going to report @trashh_dev to @thestanduppod HR department for flagrant violation of posted rules
I feel like this could be a saying, if it isn't already:
@t3chn01200 Yesterday's satire is tomorrow's documentary.
@t3chn01200 Yesterday's satire is tomorrow's documentary.
Saturday September 12th FUTO celebrates the fight against Big Tech in the Lower East Side of New York City starting at 7 PM! Come join us!
I'm not sure "lucky" is accurate, though. If you look at it the other way around, gamers built this technology with their support. While no one else was funding these things, gamers were. Now, after they paid for three decades of R&D, they're just cast aside without a thought :(
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We gamers got extremely lucky in the past 3 decades. Microchips are the most advanced architecture humans have built. Big companies like Intel and Nvidia were building the biggest chips for us. Hardware was measured by gaming performance. But professional demand has exploded and they have 10x higher budget: First we got cloud and virtual machines ($10k server CPUs) and now AI ($50k AI GPUs). Biggest leading edge chips will go to professional use, while we gamers have to content with smaller/older chips. Devs can't assume that gaming HW gets 2x faster every 2 years. PS5 launched at $399 5 years ago. Today the Steam Machine is slightly slower, but has 2.5x price tag. Back in the day we would have expected 10x performance bump in 5 years at the same price.
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Contrary to conventional NLEs, Blick's snapping system is not magnetic; it works by "latching" to edges based on drag direction, with visual indication. This way you get the benefit of snapping at the target, and still maintain fine control if your intention wasn't to snap!
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New episode of Wading Through AI is up! @DemetriSpanos gives the frontier models a test to see how well they could have done the research for my recent Root of All Evil talk:
I'm doing a little miniseries on my Patreon, talking about games that meant something to me growing up. Episode 1 is about Link's Awakening and Metroid II, and it's free! Worlds I Have Visited:
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My appearance on @GergelyOrosz's Pragmatic Engineer podcast is up!