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asaiacai

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1 points·by asaiacai·13 hari yang lalu·0 comments

How Upc Barcodes Work

craigball.net
2 points·by asaiacai·5 bulan yang lalu·0 comments

Kamaji: Containerized Control Planes for K8s

kamaji.clastix.io
1 points·by asaiacai·6 bulan yang lalu·0 comments

Debugging TLS failures in distroless containers

lucabaggi.com
28 points·by asaiacai·7 bulan yang lalu·0 comments

Glibc malloc performance degradation with CPU affinity masks

bugs.launchpad.net
1 points·by asaiacai·9 bulan yang lalu·0 comments

When Python can't thread: a deep-dive into the GIL's impact

pythonspeed.com
3 points·by asaiacai·9 bulan yang lalu·0 comments

comments

asaiacai
·2 bulan yang lalu·discuss
this list has a lot of false positives.
asaiacai
·4 bulan yang lalu·discuss
lmao
asaiacai
·4 bulan yang lalu·discuss
it's the perfect drug. You don't know how to code something up. Ask AI to implement it. It's broken? Ask AI to fix it for you. Will people become unable to fix things without it?
asaiacai
·4 bulan yang lalu·discuss
have you guys tested this against any resource/batch managers in k8s (i.e. kueue, volcano, apache yunikorn)? seems like this is a good fit for people who have already have a large cluster. does it handle autoscaling environments well in your experience?
asaiacai
·5 bulan yang lalu·discuss
its cool to see the iterative improvements to your model laid out, but for everything that workedm i imagine there were at least a million other things you also tried but didnt work out. whats your process of trying these different techniques/architectures? do you just wait for one experiment to finish and visually inspect the results everytime. seems hard since these take a while to train. how do you shorten the feedback loop in this space?
asaiacai
·7 bulan yang lalu·discuss
echoing this sentiment. I really do believe at some level there is strength/wisdom in being able to step away from a problem and return to it from a new perspective despite of what narratives are being pushed online by hustle