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Apparently just a TI-84 Evo emulator(?) that you can run in a browser for $20/year:

https://education.ti.com/en/products/calculators/graphing-ca...


I still use my TI-89 from high school, but I'm interested to find if there are any open hardware/firmware calculator projects with basic engineering tools and a CAS.


I can't speak for the person you're replying too, but I use -- for emdash for two reasons: I never remember how to type an actual emdash in linux/X11, and more importantly, I do most of my writing in Asciidoc which converts -- to an emdash automatically. It's nothing to do with bot detection or whatever.

But it does get me confused sometimes because in LaTeX (and other markup languages) -- gets converted to an endash whereas it takes three hyphens --- to make an emdash.


Apertus is the open source 8b and 70b LLM from swiss-ai. They've published both the base and the instruct sft models. Very cool that projects like this exist.

https://apertvs.ai/pages/documentation/



Is it any good?


I haven't tried it for anything myself yet. The paper provides several benchmarks. The emphasis during training was on multi-language support (over 1800 languages are represented in its pre-training data, which is 40% non-English) and non-copyrighted training data... and the benchmarks seem to suffer for it.

https://arxiv.org/abs/2509.14233


it's quite bad tbh. i've tried it for some time and i expected much more...


Yes it’s not bad, although it’s not meant to be a chatbot, post training is limited, so it won’t feel as smooth as TOTL of course. The number of supported languages is mind boggling.

Focus was on open data, languages and auditability.

Their loss function is fancy, not sure about the effects



Though see the Plain Text Accounting[0] movement for something maybe more unixy than Gnucash. I download .csv files from my bank and credit card issuers and import to hledger[1]. hledger has its own rules engine for filtering/transforming imported entries, but you could also preprocess the files using any unix tool before importing if you needed to.

0: https://plaintextaccounting.org/

1: https://hledger.org/


I missed the "a" in the title and expected something about Proudhon


> We all know Meta can still read E2EE chats

That can't be true, otherwise in what sense is it E2EE?


In the sense that calling it E2EE gives people a warm fuzzy feeling and makes people send more sensitive information over the platform.

Has anyone actually audited it?


Probably their auditors? Lying about this would be tantamount to (very serious) securities fraud. Not sure what you're basing on your allegations on besides "trust me bro"


Why would lying about having E2EE be securities (as in stock market) fraud? Would that make any lie ever told by a corporation equate to stock market fraud?


Yes! As Matt Levine says, “everything is securities fraud”


So if Microsoft tells me upgrading to windows 11 will make my computer better, you think that's securities fraud?


Did I say that?


Yes. You said everything is securities fraud


Well, I've seen services describe having "E2EE" where one end is your computer and the other end is their server, so...


The metadata is still unencrypted. That also reveals quite a bit.


I mean you can read it in your app and they're not just stored on your phone. E2E just means in transport from what I understand.


E2EE means end-to-end, where the ends are the participants in the chat. They can read it on your phone, but not on their servers. They need their app to separately transmit the plaintext to their servers to read it.


Which is technically possible.


So literally what I was implying


Thanks, your install script worked for me.

In case it helps anyone else, the first time I tried to run purr I got "OSError: PortAudio library not found". Installing libportaudio (apt install libportaudio2) got it running.


Also did create a cli. I had to fork the project and removed one unused import which allowed me to remove a lot of unused ml libraries: https://github.com/Mic92/puss-say


Unfortunately upstream never looks at any pull requests.



Thanks for sharing. Much better source.


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