Opus 4.7 was released a week ago, at that point all limits were reset, so this was very beneficial to them because basically everyones weekly limit Was anyway about to be reset.
us-east-1 is often a lynchpin for services worldwide. Something hinky happening to dns or dynamodb in us-east-1 will probably wreck your day regardless of where you set up shop.
I’ve been meaning to write this article for a long time @flexdinesh . Thanks for taking the time to share this technique for managing stacked diffs using vanilla git rebase!
I have to take special effort to tamp down on duplication in AI generated code.
For me it's not uncommon for AI to draft an initial solution in X minutes, which I then spend 3*X minutes refactoring. Here's a specific example for a recent feature I coded: https://www.youtube.com/watch?v=E25R2JgQb5c
The semantics of Python makes it problematic to run at speed, it is not just about interpreted vs compiled code. Give the high levels of dynamic behaviors that are allowed, a Jit (like pypy) has a higher chance of getting decent performance if the code has an underlying behavior that can be extracted.
I find it amusing that the motivation for creating a complex font program that supports syntax highlighting internally is the desire to avoid a complex syntax highlighter JavaScript library. The complexity is still there; it's just been moved around.
Edit: Perhaps this is a reminder that custom fonts are a potential attack vector for security-sensitive websites since font rendering runs highly-complex programs, probably in a language that isn't memory safe.
This makes me curious; have there ever been security exploits that utilized the font rendering as an actual attack vector? To me it feels like font rendering should be pure (in the functional sense) and thus have no side-effects, but of course that doesn't mean anything in practice.
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