So it seems like exposure to microbial loads from farm animals help prevent allergies. But humans have not always kept lifestock - what kind of microbial exposure do pre-agrarian peoples receive?
Readit Newscozos commented on Allergies seem nearly impossible to avoid – unless you're Amish bostonglobe.com/2025/07/2... · Posted by u/aarghh
cozos commented on Load is not what you should balance: Introducing Prequal usenix.org/conference/nsd... · Posted by u/signa11
The previous policy uses weighted round robin (WRR), which is described as:
> weight wi is calculated as qi/ui, where qi and ui represent the recent query-per-second (QPS) rate and CPU utilization of replica i.
The pathological case describes a situation where antagonist loads are soaking up CPU on some on the machines, but WRR equally distributes the load because weight formula prioritizes the utilization of the individual tenant, not of the entire machine. Wouldn't including the the machine utilization (probably downweighted) into the WRR formula also solve the issue?
cozos commented on ContextLogic (wish.com) has 12 employees remaining seekingalpha.com/article/... · Posted by u/cozos
"After the asset sale to Qoo10 closed on April 19th, ContextLogic had approximately $2.7 billion of NOL carryforwards and approximately $161 million in cash, cash equivalents and marketable securities, which consist of government securities. Combined, this represents the net proceeds from the sale. We have no debt.
We have gone from nearly 500 employees worldwide at December 31st to 12 full-time and part-time employees, including some temporary or contract employees. We are no longer liable for any of our old leases, including our former corporate headquarters in San Francisco."
cozos commented on Memray – A Memory Profiler for Python github.com/bloomberg/memr... · Posted by u/softwaredoug
Ive used Memray and it works great locally. But when I deployed my application over long running processes (i.e. in production) because I want to see memory usage over a long period of time, the profiler outputs get really large, like hundreds of gbs. They cause disk outages and also take forever to download and visualize with the flamegraphs. What do people use to understand memory usage of long running workloads in production?
Ive used Memray and it works great locally. But when I deployed my application over long running processes (i.e. in production) because I want to see memory usage over a long period of time, the profiler outputs get really large, like hundreds of gbs. They cause disk outages and also take forever to download and visualize with the flamegraphs. What do people use to understand memory usage of long running workloads in production?
cozos commented on Lessons from America’s astonishing economic record economist.com/leaders/202... · Posted by u/belter
US manufacturing continues to grow almost monotonically, it is wildly successful. The only thing that has declined is manufacturing jobs due to the high levels of automation used in American manufacturing.
what are some successful stories of American manufacturing?
cozos commented on Non-Evolutionary Superintelligences Do Nothing, Eventually arxiv.org/abs/1609.02009... · Posted by u/telmo
The author finds it a readily apparent axiom that a vastly superior intellect cannot be controlled by a vastly inferior intellect.
Generally, that seems valid to me.
Toxoplasmosis
cozos commented on Java 20 / JDK 20: General Availability mail.openjdk.org/pipermai... · Posted by u/mfiguiere
The fact that they’re cooperatively scheduled makes them quite problematic.
Basically a leaky abstraction, you have to think whether your code will block or not.
Go went through the same process, before eventually figuring out that they do need to make their lightweight threads (goroutines) preemptive.
Can you expand why its a leaky abstraction? Is it because virtual threads can only yield when its doing blocking operations?