Paul Dowman 🔴✨ pfp
Paul Dowman 🔴✨
@pauldowman.eth
1/ The @optimism fault proof system got a massive upgrade today: We’re shipping MT Cannon 💥 An upgraded version of Cannon — the fault proof VM — now with 64-bit support and multithreading! 🧵...
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Paul Dowman 🔴✨ pfp
Paul Dowman 🔴✨
@pauldowman.eth
2/ 🤔 What’s Cannon anyway? Cannon is the fault proof virtual machine that runs the fault proof program — “op-program”. And what's op-program? Think of it as a version of Optimism node software that runs in a reproducible way.
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Paul Dowman 🔴✨ pfp
Paul Dowman 🔴✨
@pauldowman.eth
3/ So to give op-program a reproducible environment we run it in Cannon, which emulates a Linux environment on a MIPS CPU. 😅
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Paul Dowman 🔴✨ pfp
Paul Dowman 🔴✨
@pauldowman.eth
4/ 💡 Why the 64-bit upgrade? The original Cannon emulated a 32-bit CPU. That was a good place to start, but 32-bit CPUs are very memory-constrained.
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Paul Dowman 🔴✨ pfp
Paul Dowman 🔴✨
@pauldowman.eth
5/ 💾 64-bit = no memory limits 🚫 Modern CPUs are 64-bit and can access vastly more memory. By upgrading Cannon to 64-bit, we completely remove the memory bottleneck. More memory = support for larger blocks = more scalability 🚀
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Paul Dowman 🔴✨ pfp
Paul Dowman 🔴✨
@pauldowman.eth
6/ 👻 What happens when we don’t have enough memory? If the op-program runs out of memory, the proof fails. And if proofs fail, bad actors can get away with fraud.
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Paul Dowman 🔴✨ pfp
Paul Dowman 🔴✨
@pauldowman.eth
7/ 🧵 And why multithreading? The op-program is written in Go. Go’s runtime uses a garbage collector — but it runs on a separate thread. With no multithreading? 🗑️ GC doesn’t run → memory leaks → crash risk → proof fails.
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Paul Dowman 🔴✨ pfp
Paul Dowman 🔴✨
@pauldowman.eth
8/ 🧠 With MT Cannon, multithreading is enabled. That means the garbage collector works → memory is reclaimed → system is stable even on long or heavy runs. More efficient, more robust, more scalable 💪
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Paul Dowman 🔴✨ pfp
Paul Dowman 🔴✨
@pauldowman.eth
9/ To sum it up: ✅ 64-bit = more memory ✅ Multithreading = stable GC ✅ MT Cannon = no more memory constraints, even for big blocks And if you like this kind of thing: we're hiring for the proofs team at OP Labs! Get in touch if you think you might be a good fit.
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