DustinGadal (u/DustinGadal)

DustinGadal commented on How to make smaller C and C++ binaries ptspts.blogspot.com/2013/... · Posted by u/costco

Chaosvex · 2 years ago

You can try but realistically, you shouldn't bother in the overwhelming majority of software. Depending on whether you're on a platform that allows for overcommit, you won't necessarily know that an allocation has failed until you attempt to make use of it and the OS tries to back the pages, by which point, you could be far from the source of the allocation.

You're just going to end up with an insane amount of error handling only to discover that in the real world, there's likely nothing you can really do anyway.

DustinGadal · 2 years ago

On platforms that allow overcommitment, you can guarantee your commit charge is physically backed by writing to each page in a memory pool at allocation time (probably at application startup, or at the end of the main loop), then allocating out of that pool.

Using memory that's been allocated but not committed seems like a recipe for disaster.

DustinGadal commented on Semantic reconstruction of continuous language from non-invasive brain recording biorxiv.org/content/10.11... · Posted by u/Ninjinka

TOMDM · 3 years ago

Here's a question to terrify the AI ethicists.

What if we took a much larger language model and far more invasive brain scans.

We train it on what the person is thinking and doing and their senses too. Pressure sensitive suit for touch, cameras in glasses for sight, mic for sound, voice recognition for what they're saying and in depth mo-cap for what they're doing. We can now train the model on a good chunk of actions a human could take, and a decent chunk of their sensorium.

Now we take a lesson from the diffusers and apply noise to the brain scan data until the AI can do a decent job simulating a human on it's own.

Is a model good enough at that an agi? It still has no memory, but could we repurpose what is now noise but used to be brain scans to retrofit memory back into this model? Maybe a vector retrieval on the models old attention outputs? Could the mo-cap data be finetuned to a robot body? The voice to sound synthesis?

DustinGadal · 3 years ago

Be careful with that:

https://qntm.org/mmacevedo

DustinGadal commented on Quaise Energy – Unlocking the true power of clean geothermal energy quaise.energy... · Posted by u/xojoc

FounderBurr · 3 years ago

Vaporized into what? Something that you’ll have to keep heated to 5000c for 20km until you can vent it?

DustinGadal · 3 years ago

They'll be pumping neutral gas (probably N2 or argon) to purge the borehole. I would expect the ablated material to resolidify as fine particulate, which would get carried to the surface at ambient temperature and trapped in a filter.

A 20km borehole with a 10cm diameter is only ~157m3 of rock. If the dig takes four weeks (which would be unprecedentedly fast), you only need to purge ~64cm3/s, which is pretty trivial.

They'll need to do something like mix the dust into concrete. Silicate dust is a respiratory hazard. But that doesn't strike me as a significant hurdle.

DustinGadal commented on Quaise Energy – Unlocking the true power of clean geothermal energy quaise.energy... · Posted by u/xojoc

mcculley · 3 years ago

I don’t know how to reason on the magnitudes and indirect effects here. If we are using the temperature differential, don’t we have to vent that into the atmosphere? Does that heat eventually go into the atmosphere anyway?

DustinGadal · 3 years ago

Global energy production in 2019 across all sectors was ~18TW. Excess radiative forcing from anthropogenic greenhouse gas emissions was ~560TW.

So we have room to ~20x our energy consumption before we start having to worry about climate change from direct heating, so long as we draw down the excess CO2 we've emitted.

Wind doesn't contribute to that total, as it's harvesting energy already in the system. Solar mostly doesn't contribute to that total, but it does increase surface albedo.