RE: mastodon.social/@NouranKhaledG…
If you are still thinking of us, please donate and share to help my family overcome this tough time
RE: mastodon.social/@NouranKhaledG…
If you are still thinking of us, please donate and share to help my family overcome this tough time
I'm a human being. I have dreams. But the genocide changed my dreams. In the past I had big dreams. But now all my dreams are to live a normal life.
What normal life means for me?
A normal life is to sleep peacefully in the night. To have a home where my family gathers. To eat healthy food and drink clean water. To meet friends in the university. That's it! Unfortunately these basics became big dreams
Please donate to help my family overcome this tough time
chuffed.org/project/121561-urg…
"I’m tired, Mama. I’m thinking of the hours that I'll spend tomorrow in the water line." – says 9 year old Ahmed to his mother before going to sleep.Chuffed
Muslim mindset: “I’m fasting, don’t eat in front of me or I might be tempted.”
Christian: practices self-control and doesn’t make a public show of fasting.
Muslim man: sees a woman who isn’t fully covered and says, “Cover yourself or I’ll be tempted.”
Christian man: sees the same thing and says, “I need to guard my heart and discipline my eyes so I don’t sin.”
Christianity deals with the heart. We emphasise self-discipline and self-control. Islam, on the other hand, tries to control the environment instead, asking others to change because the individual hasn’t learned to master himself.
When the heart is truly transformed, temptation loses its power. Self-control means taking responsibility for your own desires, not placing the burden on others. A disciplined heart governs the flesh, not the other way around.
What are your pain points, folks? Stuff that you hate doing or dealing with, or problems you can't find a good solution to? Stuff that other people might be frustrated with, too.
I'm looking for a way to make myself valuable to other people, as a way to both help people and also earn an income to feed my family in the process.
One thing I can do *really well* is create reliable software to automate rote tasks, generate financial/statistical/other reports, or calculate difficult solutions. Think it can't be done without LLMs? I might surprise you!
Throw me a bone!
Please boost for reach!
#PainPoints
#WishList
#Automation
#Reporting
#ProblemSolving
#FediHire
#GetFediBHired
#FediJob
A good friend of mine needs a lot of help. Facing health challenges as well as eviction, she needs enough covered to keep her, her partner and their cats from becoming homeless. Payment is going to be due by February or they get evicted, and they need as much covered as possible. They've personally helped me out before in my time of need nearly 2 years ago; please help me boost and cover their costs, I'll be forever grateful!
Python in 2026:
- New code doesn't work, misses dependency
- Dependency can't be installed with old PIP
- PIP can't update itself, since it is too old
- Delete PIP, download PIP installer
- PIP installer is too new for old Python
- download old-style new PIP installer
- install new PIP
- install dependency
Now I'm sitting there wondering what the new code was supposed to solve. Forgot why I ever tried to change that thing.
Zach Bennoui reshared this.
Just realized: Whenever I read outrageous news about politics, my outrage comes second. First, my brain makes an attempt to find a perspective in which it might make sense to act like these morons do.
That‘s not healthy for my brain. But I‘ve trained myself so well that I can’t seem to unlearn the reflex.
And this is the main reason why I have to avoid news these days. Of course it’s also because of the helplessness and all the bad emotions. But mainly because „understanding“ causes damage to my brain and soul.
Continue, or "try it now" a popup from Gmail now asks, offering to compose your next message with Gemini. I guess the tiny "x" is the "fuck no" button?
Yesterday I switched to Windows Terminal and PowerShell 7 from the old Windows Console Host and batch syntax, and I do somewhat feel like I've been asleep at the wheel for years.
Proper UTF-8 support, aliases, a profile to configure things at shell startup, command output capture, correct parsing of ANSI escape sequences... In short, things people should expect from a real shell.
Hopefully this doesn't prompt NVDA to start shitting the bed at every opportunity as it apparently does for many others.
If you know me, you'll know that I'm not a friend of AI - but like the original Luddites I am not against the technology per se, but the use of it to drive an exploitative societal development.
@pluralistic has put it more eloquently than I ever could. So, read this:
theguardian.com/us-news/ng-int…
AI is asbestos in the walls of our tech society, stuffed there by monopolists run amok. A serious fight against it must strike at its rootsCory Doctorow (The Guardian)
Fully blind software developer who loves making their own tools to solve problems. Primarily known for Paperback, an accessible and lightning fast ebook/document reader.GitHub
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The ⚙️ FOSDEM 2026 Schedule ⚙️ app for Android is now available:
🛒 f-droid.org/packages/info.meta…
🛒 play.google.com/store/apps/det…
🆕 Search filters
🆕 New session cards design
🆕 Edge-to-edge support
🆕 New settings options
#fahrplan #fosdem #fosdem2026 #opensource @fosdem @fosdempgday @fosdembsd
Conference program app for the FOSDEM conferencef-droid.org
Peter Vágner reshared this.
the whole ai-bro shtick about "ai democritizes art/programming/writing/etc" seemed always so bs to me, but i couldn't put it into words, but i think i now know how.
ai didn't democritize any of these things. People did. The internet did. if all these things weren't democritized and freely available on the internet before, there wouldn't have been any training data available in the first place.
the one single amazing thing that today's day and age brought us is, that you can learn anything at any time for free at your own pace.
like, you can just sit down, and learn sketching, drawing, programming, writing, basics in electronics, pcb design, singing, instruments, whatever your heart desires and apply and practice these skills. fuck, most devs on fedi are self taught.
the most human thing there is is learning and creativity. the least human thing there is is trying to automate that away.
(not to mention said tech failing at it miserably)
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It democratizes it by making it available for the people who can't / don't want to / don't have the time for learning it.
We're already seeing non-programmers successfully create quite substantial coding projects with AI, to an extend which surprises even me, who was a huge proponent for AI in coding from the start.
Same applies to art, there are many people who need or want art (small business owners, hobbyist game creators, wedding organizers, school teachers), but don't have the budget for the real thing.
Of course, many artists and programmers don't want this to happen and try to invent reasons why this is a bad idea, just as phone operators didn't want the phone company to "force" customers to make their own calls, and just as elevator drivers tried to come up with reasons why driverless elevators were unsafe.
@miki without trying to convince you of anything (your stance on ai is yours, i'm not trying to change it), I can assure you that the reasons why many developers see generating production code with AI as a bad idea are not made up.
I am all for exchanging ideas between folks with different opinions, but this had to be said.
I see putting a prompt into AI and hoping that the generated code is correct as a bad idea, especially in complex apps that have long-term maintainability considerations, or when security / money / lives are at stake.
For throwaway projects (think "secret santa style gift exchange for a local community with a few extra constraints, organized by somebody with 0 CS experience", vibe coding is probably fine.
For professional developers, LLMs can still be pretty useful. Even if you have to review the code manually, push back on stupidity, and give it direction on how to do things, not just what to do (which is honestly what I do for production codebases), it's still a force multiplier.
@miki that's a reasonable middle ground we can somewhat agree on.
I haven't seen AI-generated code being the "force multiplier" some folks swear by, especially with newer things like the config changes in pipewire last year, but i guess ymmv
I think we're painfully re-learning the lessons we learned in programming over the last 70 or so years with AI, just like crypto had to painfully re-learn the lessons that trad fi got to learn in the last five hundred years.
Yes, you can 20x your productivity with AI if you stop worrying at all about architecture and coding practices, just like you can 5x your productivity without AI if you do the same thing. Up to a point. Eventually, tech dept will rear its ugly head, and the initial gains in productivity will be lost due to the bad architectural decisions. Sometimes that
@miki
It democratizes it by making it available for the people who can't / don't want to / don't have the time for learning it.
No, I'm sorry, but it doesn't.
What it "democratises" is being an art director who commissions a machine to generate things derived from the (uncredited, un-compensated) work of others (whose lack of consent was gleefully violated).
Gutenberg democratised learning, with his movable-type press.
Encylopaedias took that a step further, and Wikipedia amped it up again.
Blogs and Youtube democratised the sharing of knowledge and skills.
All these things have enabled people to learn how to do a thing.
But if you typed in a description and got a picture in return, you did not create that picture. You commissioned it.
@KatS It democratizes in the public transit way (by making transport available to non-drivers), not in the car way (by making it easy).
And btw: all art is uncredited and a lot of it is unconsensual. Outside of academia, it's extremely rare to credit every single influence that an artist used, down to Da Vinci or the Gregorian chants, as long as snippets significant snippets aren't extracted directly from that work, something that AI only does when prompted.
@miki @KatS we're not talking about influences, but more akin to "retracing".
Besides, there are real implications regarding free software licenses and AI generated slop, so it's not exclusively a moral dilemma, but a legal one too.
legal != the right thing to do necessarily, but mangling a bunch of intellectual property that's not yours through a statistical computer program isn't exactly comparable with an aspiring artist learning to draw.
@miki Wow.
It'll make for more efficient communication in future if you make it explicitly clear that you're democratising the commissioning of things, and working hard to devalue artistry in all its forms.
Talking about "democratising art" is typically read as making it easier for people to make art.
This is what leads to this kind of convoluted exchange.
@KatS The more you know about LLMs, the more "calibrated" you are about where they work (and don't work) right now. People who don't know much about them are either hypesters (mmaking a company of a thousand LLMs and firing all their employees), or LLM deniers. Both are just as crazy.
I also see not just where LLMs are right now, but where they are going. We went from coding agents being basically a joke a year ago, to them semi-autonomously solving (some) complex mathematical problems and being used for boring gruntwork by world-class, fields-medal-winning mathematicians. They can now also solve an extremely complex GPU performance engineering task that Anthropic used as an interview question for the most brilliant engineers in that discipline, *better than any human given the same amount of time*.
They're still much better at small, well-scoped and bounded tasks than at large open-ended problems, but "small and well-scoped" went from "write me a linked list implementation unconnected to anything in my code" to "write me a small feature and follow the style of my codebase." In a year. What will happen in another year? 5 years? 10 years? God only knows, and he certainly isn't telling.
@KatS look @miki don't get me wrong but any time i've tried using LLMs for my work, which isn't just some fun side project but actual production-running code, LLMs have been way too unreliable. It also resulted in me knowing jack shit about my own code, which is poison for long term maintainability.
Since these models are just statistically determining the next most likely token based on training data and fine tuning, without any actual understanding or thought behind it, I seriously can't see this tech being reliable enough one day. (reliable compared to humans, i don't seek 100% reliable in this case, natural language is too imprecise for that anyways. i would expect "good enough" as "as good as a professional in the given field")
The other part of the equation is the amount of compute and electrical energy necessary to train and operate such a level, and on that level, there's no way in hell that shit is ever gonna be worth it, financially and environmentally.
i'm not expecting the "make job for phone operators easier", i expect the "when i dial a number, it should be at least as reliable and efficient at routing it correctly as a phone operator would be".
you can call me whatever you want, even llm denier if you need to, but autocorrect on steroids isn't worth exploiting other people's work or boiling our oceans.
@miki The last thing I think I can usefully add to this thread is that you sound very much like the kind of person Michael Crichton wrote about.
I recommend watching Westworld some time - the movie, that is. I've never seen the series based on it.
@miki @KatS if i memorize every possible answer to a specific test, i can pass too. doesn't mean i know shit about fuck.
There's no actual thinking or reasoning involved (and no, reasoning models don't actually "reason"), so yeah, an LLM isn't actually intelligent, it just shows how flawed our tests for intelligence are.
To get some actual intelligence, thinking or reasoning involved, I'd reckon we'd have to fundamentally change something in the architecture of LLMs, and use a fuckton more computing resources for a single model, and considering how much energy the current tech already wastes, and the whole shtick that made LLMs (and more broadly generative AI) work in the first place is "we discovered that there comes a point where the output gets better when we throw rediculous amounts of compute resources on the problem", and it's already getting super difficult to run and maintain.
Honestly, either you're unreasonably optimistic, or you've never taken a look at how things actually work under the hood, but I really recommend you to take a closer look at the technology you praise so much.
A couple things you could take a look at (without an AI summarizer, otherwise you'd learn jack shit):
Attention is all you need, which is the paper that sparked all that AI craze and the development of GPT models and The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
, which takes a closer look and tests reasoning models to infer strengths and weaknesses of reasoning models with all sorts of levels in problem complexity.
Honestly, before you make any claims about where the tech could be and what it could do, you should have a look at how things actually work under the hood and have a rough idea of how things work, otherwise, no offense, you're just talking out of your arse.
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder configuration. The best performing models also connect the encoder and decoder through an attention mechanism.arXiv.org
@KatS I have very specifically said "unseen questions."
If memorizing answers was a viable strategy to pass that test, humans would have done so.
If you still believe that there's no possible use for a tool that can get gold on a never-before-used set of math olympiad question given a few hours of access to a reasonably powerful computer, and that the existence of that tool will have no interesting impact on the world... I don't know what to tell you.
@miki @KatS > If you still believe that there's no possible use for a tool that can get gold on a never-before-used set of math olympiad question given a few hours of access to a reasonably powerful computer, and that the existence of that tool will have no interesting impact on the world...
How reliable is that source? And if that's true, is it really reasonable to bet everything on this, and let this do all your work when a) you end up completely dependent on the tech and b) utterly destroy the environment in that process?
Real world problems may be less complex but might require much more context.
Oh, and don't get me started on accountability. There's a reason why curl is closing their bug bounty program.
@KatS Nothing is ever gonna work right, not even humans. Different technologies are at different points on the price-to-mistakes curve, our job is to find a combination that minimizes price while also minimizing mistakes and harm caused.
E.G. it is definitely true that humans are much, much better psychologists than LLMs, but LLLMs are free, much more widely available in abusive environments, speak your language, even if you are in a foreign country, and work at 4AM on a Saturday when you get dumped by your partner. Human psychologists do not. Very often, the choice isn't between an LLM and a human, the real choice is between an LLM and nothing (and the richer you are, the less true this is, hence the "class divide" in opinions about tech). And I'm genuinely unsure which option wins here, but considering the rate of change over the last 3 years, I woulndn't bet towards "nothing" winning for long.
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An important PSA for people who are active on #Bluesky and who, upon hearing that the ICE account was officially verified, are saying: "I will just block it."
Blocking on Bluesky is NOT PRIVATE: it's very easy to see who is blocking any account by visiting sites that list that information.
I took a screenshot from clearsky.app, listing all the accounts that are blocking ICE (I pixelated avatars and usernames for privacy purposes).
The safest bet is to mute (that info is private) 😫
This is also true about Mastodon*, but Mastodon actively tries to hide that fact from users and muddy the waters.
* It's technically hidden to users but not the admins of the instances involved, but if you're a gov agency, you're presumably on your own instance, as seems to be the custom here for the "big players."
miki reshared this.
In a way, #Putin even got more then he ever could wish for
All for free by #Trump
Alliances shattered, internal threats, everyone really disliking the US, speaking about war within #NATO even
It's unbelievable how much damage that senile dic(tator) has done within a year
I really hope we learn from this.. But history shown otherwise I guess
This post by Bruce Schneier contains so many thoughtful soundbites:
> The question is not simply whether copyright law applies to AI. It is why the law appears to operate so differently depending on who is doing the extracting and for what purpose.
> Like the early internet, AI is often described as a democratizing force. But also like the internet, AI’s current trajectory suggests something closer to consolidation.
schneier.com/blog/archives/202…
More than a decade after Aaron Swartz’s death, the United States is still living inside the contradiction that destroyed him. Swartz believed that knowledge, especially publicly funded knowledge, should be freely accessible.Bruce Schneier (Schneier on Security)
I like looking at this through the concept of "enjoyment", which was originally developed in Japan I believe.
From that point of view, copyright only applies to a work when it is used for "enjoyment", for its intended purpose. If the work is primarily entertainment, it applies when the consumer is using it to entertain themselves. If the work is educative, it applies when the consumer is using it to learn something. It does not apply when the work is used for a purpose completely unrelated to its creation, such as testing a CD player on an unusual CD, demonstrating the performance of a speaker system, training a language model to classify customer complaints etc.
(This isn't a legal perspective, not even quite in Japan I believe, but it's useful lens through which we can look at the world and which people can use to decide on policy).
🇨🇦Samuel Proulx🇨🇦
in reply to Aaron • • •I can go into more detail about why all the options are bad if you want. But this is the sort of problem that eats years of your life, requires advanced mathematics (digital signal processing at a minimum), and advanced linguistics, on top of being a good systems-level programmer.
Sam's Stuff - The State of Modern AI Text To Speech Systems for Screen Reader Users
stuff.interfree.caAaron
in reply to 🇨🇦Samuel Proulx🇨🇦 • • •@fastfinge I just so happen to be an (unemployed) machine learning researcher by trade, with advanced mathematics, linguistics, and programming skills. Maybe not systems-level programming, but I could probably find someone who does that and work with them.
Given that the first two responses I've gotten were both about accessibility, there might be more of a market for this than you think, and also, it might make a good way to demo my skills even if it isn't paid work.
🇨🇦Samuel Proulx🇨🇦
in reply to Aaron • • •The reason I say systems-level programming is mostly because for a text to speech system used by a blind power user, you need to keep an eye on performance. If the system crashes and the computer stops talking, the only choice the user has is to hard reset. It would be running and speaking the entire time the computer is in use, so memory leaks and other inefficiencies are going to add up extremely quickly.
From what I can tell, the ideal is some sort of formant-based vocal tract model. Espeak sort of does this, but only for the voiced sounds. Plosives are generated from modeling recorded speech, so sound weird and overly harsh to most users, and I suspect this is where most of the complaints about espeak come from. A neural network or other sort of machine learning model could be useful to discover the best parameters and run the model, but not for generating audio itself, I don't think. This is because most modern LLM-based neural network models can't allow changing of pitch, speed, etc, as all of that comes from the training data.
Secondly, the phonemizer needs to be reproducible. What if, say, it mispronounces "Hermione". With most modern text to speech systems, this is hard to fix; the output is not always the same for any given input. So a correction like "her my oh nee" might work in some circumstances, but not others, because how the model decides to pronounce words and where it puts the emphasis are just a black box. The state of the art, here, remains Eloquence. But it uses no machine learning at all, just hundreds of thousands of hand-coded rules and formants. But, of course, it's closed source (and as far as anyone can tell the source has actually been lost since the early 2000's), so goodness knows what all those rules are.
Aaron
in reply to 🇨🇦Samuel Proulx🇨🇦 • • •@fastfinge Reading your linked article article and this reply, I get the sneaking suspicion that HDC (hyperdimensional computing) or other one- or few-shot learning methods that are designed to factor the model into independent components that can be quickly recomposed in new ways might be appropriate. The idea would be to, as you suggest, learn the values for these components using machine learning, but also the mapping between them and the sounds produced, so that each becomes separately tunable on the fly.
HDC has the added advantage that it is great for working with "fuzzy", human-interpretable rule representations, is typically extremely efficient compared to neural nets, and even meshes well with neural nets and gradient descent-based optimization.
Do you happen to have data of any sort that could be used for training?
🇨🇦Samuel Proulx🇨🇦
in reply to Aaron • • •When it comes to open-source speech data, LJSpeech is the best we have, though far from perfect: keithito.com/LJ-Speech-Dataset/
And here's a link to GnuSpeech, the only open-source fully articulatory text to speech system I'm aware of: github.com/mym-br/gnuspeech_sa?tab=readme-ov-file
I'm afraid I don't have any particular data of my own.
GitHub - mym-br/gnuspeech_sa: Articulatory speech synthesizer
GitHubAaron
in reply to 🇨🇦Samuel Proulx🇨🇦 • • •@fastfinge thanks! I'll have a look at these.
Were you wanting to collaborate on this?
🇨🇦Samuel Proulx🇨🇦
in reply to Aaron • • •Aaron
in reply to 🇨🇦Samuel Proulx🇨🇦 • • •Aaron
in reply to Aaron • • •🇨🇦Samuel Proulx🇨🇦
in reply to Aaron • • •🇨🇦Samuel Proulx🇨🇦
in reply to Aaron • • •eloquence_64/eloquence.py at master · fastfinge/eloquence_64
GitHubAaron
in reply to 🇨🇦Samuel Proulx🇨🇦 • • •🇨🇦Samuel Proulx🇨🇦
in reply to Aaron • • •nvda/source/synthDrivers/espeak.py at master · nvaccess/nvda
GitHubJoe (TBA)
in reply to 🇨🇦Samuel Proulx🇨🇦 • • •🇨🇦Samuel Proulx🇨🇦
in reply to Joe (TBA) • • •🇨🇦Samuel Proulx🇨🇦
in reply to Aaron • • •Aaron
in reply to 🇨🇦Samuel Proulx🇨🇦 • • •@fastfinge Looking for the source, I found this:
github.com/dectalk
It looks like both DECtalk and DECtalkMini are being actively maintained, with commits as recent as 1 to 2 months ago. I was hoping the copyright for the "mini" version would be unencumbered, but no such luck. It would have to be a re-implementation from scratch using this code as a guide. That's a lot easier than implementing a new system out of nothing, though.
DECTalk
GitHub🇨🇦Samuel Proulx🇨🇦
in reply to Aaron • • •I also have no idea about any associated IP or patents, though. Wouldn't whoever does it need to be able to prove they never saw the original code, just its outputs? Otherwise you're still infringing, aren't you? In this regard, it's probably actually a bad thing that the dectalk sourcecode is so widely available.
And most of the commits seem to be about just getting it to compile on modern systems with modern toolchains. I dread to think how unsafe closed-source C code written in 1998 is.
🇨🇦Samuel Proulx🇨🇦
in reply to Aaron • • •🇨🇦Samuel Proulx🇨🇦
in reply to Aaron • • •But eloquence gets the closest, gnuspeech second, espeak third, dectalk fourth, and every AI system I've tried a distant last.
gnuspeech_sa/the_chaos.txt at master · mym-br/gnuspeech_sa
GitHubAaron
in reply to 🇨🇦Samuel Proulx🇨🇦 • • •David Nash
in reply to Aaron • • •@fastfinge (context: both Aaron and I are USAians)
It doesn't help that:
1. it's 150 or so years old, so a few pronunciations have changed a bit
2. the pronunciations and spellings (and hence some of the apparent mismatches) are UK English, not US English.
At a minimum, you'll have to envision skipping "r"s after vowels at the ends of words for many of these to make sense. As for the rest, I recognized a few of those from past experience with older UK English (e.g. "clerk" with an "a" sound), but a couple left me scratching my head saying "that's how people actually said or spelled it then and there?"
🇨🇦Samuel Proulx🇨🇦
in reply to David Nash • • •🇨🇦Samuel Proulx🇨🇦
in reply to 🇨🇦Samuel Proulx🇨🇦 • • •🇨🇦Samuel Proulx🇨🇦
in reply to 🇨🇦Samuel Proulx🇨🇦 • • •Nicks World
in reply to Aaron • • •Aaron
in reply to Nicks World • • •@NicksWorld
Have your tried LibreOffice? I have read that it is accessible, but I trust real users better.
What specific features do you wish for most?
I have a feeling it's probably a big ask for a single developer, but I could at least take a look at the source for LibreOffice (unlike MS products) and see if I can add the features without retooling the whole codebase.
Nicks World
in reply to Aaron • • •Aaron
in reply to Nicks World • • •@NicksWorld I would probably need to sit with you to understand the dynamics of the flow and where it gives you trouble. There are a few things to unpack here, on first reading:
* Not sure what misformatting you're finding.
* By getting to the categories, do you mean navigating columns by their headers?
* Do you have specific spreadsheets you are working with regularly? If so, I might be able to come up with a different way to collect and/or present the information that is more naturally suited to blind users, like a Q&A format with predetermined flow.
Spreadsheets are designed specifically with sighted users in mind, so there's an element of inaccessibility baked into them. By organizing the information into a more linear, language-based flow instead of a spreadsheet, that could potentially make the process much more natural for a screen reader, and the data could then be automatically formatted as, or loaded into, a spreadsheet. I'd be interested to get your thoughts on this.
Nicks World
in reply to Aaron • • •Aaron
in reply to Nicks World • • •@NicksWorld
Sure, I bet it's a bit of a pain for you with text-based discussions! I'm awkward on phones but willing to give it a shot, if you think it's worthwhile and can put up with my spoken awkwardness and fumbling with words. (I communicate so much better when I can write! lol)
Can I suggest, though, that first it might make sense to get familiar with LibreOffice and see if it does a better job with the interface than Excel or other such software? It would be a shame to waste our time and effort on a problem that's already solved. It might also turn out that you have different pain points with the open source software that I can actually modify.
Nicks World
in reply to Aaron • • •Aaron
in reply to Nicks World • • •@NicksWorld
Here's the main page:
libreoffice.org/
And here's the download page:
libreoffice.org/download/downl…
You will need to select your OS for the download.
Home | LibreOffice - Free and private office suite - Based on OpenOffice - Compatible with Microsoft
www.libreoffice.orgNicks World
in reply to Aaron • • •Aaron
in reply to Nicks World • • •Zach Bennoui
in reply to Aaron • • •Aaron
in reply to Zach Bennoui • • •