epaulson
Joined 16 years ago
Joined 16 years ago
(To connect universities to the different supercomputing centers, the NSF funded the NSFnet network in the 80s, which was basically the backbone of the Internet in the 80s and early 90s. The supercomputing funding has really, really paid off for the USA)
https://x.com/CharityWoodrum/status/1808313627864440930
"For Woody and Jayson Thomas. From the local universe to the first galaxies, the brightest moments in space and time occurred during our brief epoch together. That light is unquenchable."
She had gone back to school as an adult to study physics, she was just finishing up her undergrad when her husband and child were swept away by a wave while walking on the beach.
She kept on with school and is about to finish her Ph.D. I just can't comprehend how. https://www.tucsonweekly.com/tucson/ua-doctoral-candidate-in...
BlenderBIM is internally managing everything with the IfcOpenShell library - all of the data uses the Python interfaces of IfcOpenShell (which internally has a lot of C) to keep the model state. Blender is more a rendering backend and nice UI to manipulate the state of the IFC model with IfcOpenShell - but basically everything you can do with the Blender GUI you can pop open a shell and just type in Python and do the same thing.
This means you'll occasionally see some Blender things that don't do what you expect to the model you're editing - there are ways to have Blender do state modifications that don't all get translated to the IFC data underneath, so sometimes doing things like selections or modifiers are surprising for Blender users. (I think over time the list of things that are like this has gotten a lot smaller, and BlenderBIM is now pretty good about keeping the state of what's displayed in Blender in sync with what the underlying IFC model is storing)
The main commercial player in this space is Autodesk Revit. There is a lot of thinking that perhaps Revit has reached a point as a platform where Autodesk can't keep building on it (i.e. it has so much tech debt that it's getting hopeless) - see https://letters-to-autodesk.com/ Autodesk has a number of other 3D modeling software packages and I sometimes think that for their next generation of Revit they should consider the BlenderBIM approach and maybe build on top of Maya or one of their other offerings.
It's also worth noting that OPML is only the container format here. Agreeing on a container format is obviously important and we won't get very far for interop if we can't even agree on the container format, but OPML is supposed to be a generic tree of 'outline' format, and conveniently RSS subscriptions (and folders) look like a tree.
I sorta expected that there would be a second standard that says "here's how you use this generic OPML container format to represent RSS feed subscriptions" but oddly that's actually included right in the OPML spec[2]. In fact RSS subscriptions are the only application format defined in OPML - there's a 'type' field defined for <outline> element and if type is set to 'rss' then there's also a required xmlUrl of the feed and optional things like the html link for the blog, the version of RSS used. This is the data and part of the spec that makes the actual subscription list exchange work.
But again the only entry for 'type' defined in the OPML spec is 'rss'. If you want to use OPML as a container for something else, like Youtube subscriptions or Twitter followers, you of course can but you gotta find some way to get everyone to agree on how to interpret the 'type' you set for that <outline> element. And as far as I know, no one's done anything like that for any other domain.
So it'd be awesome if more domains defined 'type' fields and set out some specs so I can export my video streaming subscriptions or Amazon wishlist or whatever but without defining more 'type' fields OPML is really not any more interesting than a CSV of URLs.
[1] https://twitter.com/karpathy/status/1751379269769695601 [2] http://opml.org/spec2.opml
It'd be awesome to have a bit more transactional help from S3. You could go a long way with 'only update this object if the ETags on these other objects are still the same'. I know AWS doesn't want to turn S3 into a full database but some updates you just can't do without having a whole 2nd service running alongside to keep track of the states of your updates.
A while back Brett Slatkin and Brad Fitzpatrick built out a protocol called 'Web FistBump' that could bring WebFinger to people who's email providers to support it. It was a clever hack with DKIM - you emailed their webfist.org server with what you wanted to be your Webfinger info, and because Gmail signed the message with DKIM anyone could verify the message. The webfist.org server just proxied WebFinger requests into lookups for those signed emails. Even better, because it's just a signed email you can treat it as a blob and have a pool of different resolvers do the proxying, kinda like a blockchain. I think there was a post from Brad somewhere that estimated that the total data needed if everyone in the world used WebFistBump for storing a blob was in the low 100s of GB, which is pretty managable for a wider community to keep online.
I need to read up on DIDs but it feels like DIDs just standardize on what the message format should be that would come back from something like WebFinger/WebFistbump, but if WebFistbump were actually up and running, it could make WebFinger more widely available. (Alas, I think the webfist.org server has been shut down but maybe they could flip it back on!)
https://www.onebigfluke.com/2013/06/bootstrapping-webfinger-...
I think Bluesky would clean up if it could also interop with Mastodon - people want to leave Twitter but it sucks having to choose between Mastodon and Bluesky and so I think some folks are just in a holding pattern waiting to see what wins. Bluesky feels more like Twitter so I think it would get a lot of folks, but I think people hesitate to bet on it just yet.
"This is what's happening to the parameters of models when they're quantized down to sizes that are possible to run on your laptop. Instead of floats, small integers are what get stored and loaded into memory. When the time comes to use the quantized values, to generate an answer to a question for example, the values are dequantized on the fly. You might think this sounds slower, but we'll see later on that this actually ends up being faster as well as smaller."
I thought that most GPUs supported floating point math in these quantized formats, like they can natively do math on an float4 number (that's maybe packed, 2 float4s into a single byte, or more probably 16 float4s in an 8 byte array or maybe something even bigger)
Am I getting this wrong - is it instead the GPU pulls in the quantized numbers and then converts them back into 32-bit or 64-bit float to actually run through the ALUs on the GPU? (and the memory bandwidth savings make up for the extra work to convert them back into 32 bit numbers once you get them onto the GPU?)
Or is it some weird hybrid, like there is native support for float8 and Bfloat16, but if you want to use float2 you have to convert it to float4 or something the hardware can work with.
I am confused what actually happens in the vectorized ADD and MULT instructions in the GPU with these quantized numbers.