Hmmmm milk is slightly acidic, and concrete will dissolve if the pH is lowered from its normal high alkalinity, so given a large enough volume of milk…I suppose milk would dissolve concrete substantially faster than water would.

There’s going to be a temperature range somewhere between “fridge” and “corona of the sun” where that milk is the foulest-smelling thing in the universe.

I think its because while its under water it doesn’t have a chance to diffuse into a larger volume of air – normally farts are pretty dilute by the time it makes it to anyone’s nose.

My favorite overheard undergrad story:

I was walking past the lecture hall right after an organic chemistry midterm, and there was a cluster of 4-5 students talking about the exam. One asked about question 8b, and another one said “you’re not supposed to mix nitric acid and ethanol, that makes TNT, right?” I had to stifle a chuckle as I walked by.

So close, and yet so far! Nitrated acetone is explosive, and TNT (trinitrotoluene) is also made with nitric acid, but toluene is a much more complex molecule than acetone. If those undergrads could figure out how to turn acetone into TNT efficiently, they’d get a Nobel!

Agreed! I’m just not sure TOPS is the right metric for a CPU, due to how different the CPU data pipeline is than a GPU. Bubbly/clear instruction streams are one thing, but the majority type of instruction in a calculation also effects how many instructions can be run on each clock cycle pretty significantly, whereas in matrix-optimized silicon its a lot more fair to generalize over a bulk workload.

Generally, I think its fundamentally challenging to generate a generally applicable single number to represent CPU performance across different workloads.

Ehh, its not actually a big jump, and its oversold here. It’s useful as an alternative to hand-designing genes, but its just a summarization tool for the gene sequences we’ve already annotated – and a ballpark of 10-20% of those annotations are wrong, as it’s actually very hard to annotate genes’ functions correctly. I would be wary of trusting that this will work outside the most-studied protein families.

Lol I was trying to play Dragon Age games a couple months ago, and the EA app is so terrible that I couldn’t get them to run on windows. But on Linux in the proton sandbox? No problem, worked right out of the box. 😂😂

I mean, sure, but largely GPU-based TOPS isn’t that good a comparison with a CPU+GPU mixture. Most tasks can’t be parallelized that well, so comparing TOPS between an APU and a TPU/GPU is not apples to apples (heh).

Thats Britain lol, Ireland is on the left edge of the frame.

Why is that article so hard to read? Its not grammaticaly wrong but the sentences are structured so oddly…

Kvaesito is awesome.

Obsidian isn’t open source, but it’s so solid I almost don’t care…

I just came across the lines in the OpenSuse 42 .bashrc in to connect to palm pilots today…what a flashback.

A big part of the NIST’s job is providing standard samples so everyone can measure accurately. From weights of ingredients, to determining exact compositions of food, pharmaceuticals, drinking water, etc. its all measured relative to a NIST standard. Every scale you’ve ever used was calibrated against a weight that several steps back was ultimately calibrated against a NIST standard. Without a good standard, it’s basically impossible to accurately measure anything.

Same question, on vanilla android.

The Liberation trilogy by Rick Atkinson is also a really good in depth look at the war after 1942. Told mostly from the american perspective, but very very thorough.

They could have at least renamed it to Radeon Operational Compute method or something…

More like 0mgMg

Huh it hasn’t forced itself onto my computer yet, if its a work laptop it could be a policy set by your sysadmin.

Came here to say this…