Yeah, why is it that working with AI makes people completely forget what version numbers mean?
gemini-2.5-flash-preview-09-2025 - what are they thinking?
I thought about joking that they had AI name it for them, but when I asked Gemini, it said that this name was confusing, redundant, and leads to unnecessarily high cognitive load.
Maybe Googlers should learn from their own models.
New maintainers never bothered to change the range..
History
num2words is based on an old library, pynum2word, created by Taro Ogawa in 2003. Unfortunately, the library stopped being maintained and the author can't be reached. There was another developer, Marius Grigaitis, who in 2011 added Lithuanian support, but didn't take over maintenance of the project.
I am thus basing myself on Marius Grigaitis' improvements and re-publishing pynum2word as num2words.
Some of us still prize compute efficiency, especially those who have been using Python for a long time and are contemplating the new kinds of code patterns that have emerged from data science...
A shame it doesn't use udsoncan as a backend.
Udsoncan is pretty well done and indirectly support doip which is going to be ubiquitous in those new software defined vehicles..
For an application that is limited to stadardize services doip will only matter for future EVs. Anything with ICE will continue to provide data on CAN.
so? the gist of the mit license is, "use without restriction". without the license the default is that you have no right to the work, so the license is what makes it a gift. you're welcome
no it very much isn't use without restriction - you must credit the the author and otherwise follow the licensee. I can't copy and republish code from the Nvidia driver leaks because those are copyrighted by Nvidia (unless I have permission from them). In the same way you cannot copy and republish code from a MIT project unless I have permission from them (via the MIT licensee).
Another key reason to me that open source can be very good quality is when the developer is the key user.
If the developer has strong knowledge of the business while designing a product, it always ends up with better qa as they are writing the right product on first draft.
You hardly get that when you hire someone to do something for you. That is valid in other domain than programming.
What could be missing is the GPU aspect.
Not sure if the data is available, but it is very unclear to me which GPU is available on which machine type.
and also how many, so that I have some chance to get one.
In the Instance Picker in the "More" section you can find the GPU Filter. Additional GPUs can only be assigned to N1 and A2 instances. The whole Accelerator topic is very specific. Maybe I will expand it further if more people find it helpful.
They’re both based on QuickTransit, but Rosetta 2 has an AOT mode as well as JIT. I’m sure the R2 engine is more advanced than the original engine, Apple employed several engineers from the original team, but it still uses and is based on licensed tech.
My understanding is that Apple hired a lot of the staff of Transitive, and had a more or less do whatever you want license with source access. Ad that the AOT mode is based on LLVM, but the JIT piece is still pretty core to the design (hence why other JITs run well on top of it).
It’s not based on LLVM, that’s way too heavy for the use case.
The same backend is used for AoT and JIT compilation. It uses a custom lightweight IR that’s really close to x86 itself, with a big focus towards reducing translation times.
