mastodon - Link to source

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.

#actuallyAutistic
@autistics

#actuallyautistic @Actually Autistics

mastodon - Link to source
Ok, @x0 will also be happy to know: I added two new language settings:
1) autoTieDiphthongs
When enabled, the frontend scans token sequences and if it sees: previous token is vowel/semivowel, current token is vowel/semivowel, current is NOT wordStart and NOT syllableStart (so we don’t smash hiatus) and not already tied, not lengthened, and the second vowel looks like a typical offglide candidate (high vowels like i, ɪ, u, ʊ, …)
…it marks them as tied internally (prev.tiedTo=true, cur.tiedFrom=true), so timing treats the second part as a short offglide.
The second setting is autoDiphthongOffglideToSemivowel. Optional, off by default. If enabled and autoTieDiphthongs is enabled, then when we auto-tie we also try to swap the offglide vowel to a semivowel: i/ɪ/ɨ -> j u/ʊ -> w - This is the “make the glide more obvious” switch. I hope these will help people.
@x0

mastodon - Link to source
Gosh though. People are really helping me add engine-level settings, that's exciting I guess. More settings, the better. The more we can expose through things people can tweak, great. I'll also be updating the phoneme editor later on because I like the idea of using a spin-edit box, and auto-defaulting paths, and a few things will be improved. It's also not considering rules when speaking text from language-specific data and that needs fixing. Bugs bugs.

mastodon - Link to source

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.

mastodon - Link to source

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 companies will fail. We can salvage something from the wreckage

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 roots
Cory Doctorow (The Guardian)
@Cory Doctorow

mastodon - Link to source
Sigh. Since we added a new setting, have eurpod.com/synths/nvSpeechPlay… - especially if you speak Portuguese, it might help. Or maybe it'll screw things up so bad your language won't sound the same. Who knows. Unlucky 13. Guess I wasn't supersticious enough to skip it. Ah well.
it ever sounds like there’s “no diphthong,” it’s usually because the boundary gap or timing makes the two parts separate, or the glide is too quiet. We just added a setting to skip boundary gaps for vowel-to-vowel transitions, which is basically the diphthong smoother. Dedicated diphthong phonemes are optional and mostly for extra fine control. To use this for your language, toggle segmentBoundarySkipVowelToVowel: true (also default) or false. This should give folks even more control over gaps, and you can mess around with the others in default.yaml for a given language to see if they help change prosody.
This entry was edited (3 days ago)

mastodon - Link to source
Paperback version 0.7.0 is out, with a huge changelog!
* Added table support for HTML and XHTML-based documents! Navigate between tables using T and Shift+T, and press Enter to view one in a webview.
* Added a basic web rendering feature! Press Ctrl+Shift+V to open the current section of your document in a web-based renderer, useful for content like complex formatting or code samples.
* Added a Russian translation, thanks Ruslan Gulmagomedov!
* Added a Clear All button to the All Documents dialog.
* The update checker now displays release notes when a new version is available.
* Updated Serbian translation.
* Updated Bosnian translation.
* Fixed restoring the window from the system tray.
* Fixed Yes/No button translations in confirmation dialogs.
* Fixed loading configs when running as administrator.
* Fixed comment handling in XML and HTML documents.
* Fixed TOC parsing in Epub 2 books.
* Fixed navigating to the next item with the same letter in the table of contents.
* Fixed the find dialog not hiding properly when using the next/previous buttons.
* Fixed epub TOCs occasionally throwing you to the wrong item.
* Fixed various whitespace handling issues in XML, HTML, and pre tags.
* Fixed off-by-one error in link navigation.
* Fixed some books having trailing whitespace on their lines.
* Fixed various parser issues.
* Bookmark-related menu items are now properly disabled when no document is open.
* The elements list is now properly disabled when no document is open.
* Improved list handling in various document formats.
* Improved the translation workflow for contributors.
* Many internal refactors, moving the majority of the application’s business logic from C++ to Rust for improved performance and maintainability.
Download: paperback.dev/downloads/
Sponsor on GitHub: github.com/sponsors/trypsynth
Donate to development through PayPal: paypal.me/tygillespie05
Enjoy!

Sponsor @trypsynth on GitHub Sponsors

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

mastodon - Link to source

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

Screenshots of the FOSDEM 2026 Schedule for Android phones + tablets. Available via F-Droid and Google Play. Incl. c3-nav.

FOSDEM 2026 Schedule | F-Droid - Free and Open Source Android App Repository

Conference program app for the FOSDEM conference
f-droid.org
#opensource #fosdem #fahrplan #fosdem2026 @FOSDEM @fosdembsd @FOSDEM PGDay

friendica (DFRN) - Link to source
I work as an audiobook quality controller. My employer uses ClickUp to manage tasks. Unfortunately, the web interface is unintuitive and inaccessible. It contains unnamed elements, menus that expand in all kinds of ways, and similar issues. I wrote to their developers, but even after years nothing has been fixed. Fortunately, ClickUp has an open API. So I used vibecoding and now I have my own minimalist HTML application that displays my tasks, start and end dates, comments, and attachments, and allows me to post comments. I still can’t change task statuses yet—we’ll see if I manage to solve that with the help of GPT. Of course, this is not how a blind person should function in an ideal world, but it is still a way we can help ourselves. That said, I still need a server where my PHP scripts run; it could probably be done with Python as well, but PHP seemed simpler to me since it’s already running on my server. BTW it would be ideal if Clickup api documentation is one simple document which I can throw to gpt but it seems that chatgpt already know how to use it.

Peter Vágner reshared this.

mastodon - Link to source

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)

reshared this

in reply to Tech Goblin Lucy 🦝

mastodon - Link to source

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.

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.

in reply to Tech Goblin Lucy 🦝

mastodon - Link to source

miki

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.

in reply to Tech Goblin Lucy 🦝

mastodon - Link to source

miki

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

in reply to miki

glitchsoc - Link to source

Kat (post-Hallowe'en edition)

@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.

@miki
in reply to Kat (post-Hallowe'en edition)

mastodon - Link to source

miki

@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.

@Kat (post-Hallowe'en edition)
in reply to miki

mastodon - Link to source

Tech Goblin Lucy 🦝

@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 @Kat (post-Hallowe'en edition)
in reply to Tech Goblin Lucy 🦝

mastodon - Link to source

miki

@KatS Because I use it every day, and I can see how much it helps. And to be fair, it primarily helps people who get X done, not the doers of X. Just as automated telephones primarily help those who want to make phone calls (by making them cheaper, faster and much more convenient), not the phone operators who helped to make them in the past.
@Kat (post-Hallowe'en edition)
in reply to Tech Goblin Lucy 🦝

mastodon - Link to source

miki

@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.

@Kat (post-Hallowe'en edition)
in reply to Kat (post-Hallowe'en edition)

mastodon - Link to source

Tech Goblin Lucy 🦝

@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 @Kat (post-Hallowe'en edition)
in reply to Tech Goblin Lucy 🦝

mastodon - Link to source

miki

@KatS Autocorrect on steroids is basically GPT-3 tech. There's a lot more that goes into modern LLMs. A lot of the improvements are due to reinforcement learning, where LLMs learn to predict tokens that actually achieve some outcome, E.G. code that passes tests, answer that is judged "good" by a domain expert. There's still token prediction involved of course, but it somehow turns out that token prediction can get better scores than any human at (unseen) math olympiad questions. And people still say it's not in any way intelligent...
@Kat (post-Hallowe'en edition)
in reply to miki

mastodon - Link to source

Tech Goblin Lucy 🦝

@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.


Attention Is All You Need

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
@miki @Kat (post-Hallowe'en edition)
in reply to Tech Goblin Lucy 🦝

mastodon - Link to source

miki

@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.

@Kat (post-Hallowe'en edition)
in reply to miki

mastodon - Link to source

Tech Goblin Lucy 🦝

@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.

@miki @Kat (post-Hallowe'en edition)
in reply to Tech Goblin Lucy 🦝

mastodon - Link to source

miki

@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.

@Kat (post-Hallowe'en edition)

glitchsoc - Link to source

Current AI Downsides:

> Stole all creative, intellectual works from everyone ever

> Eats so much power that they need tons of nuclear plants yesterday

> Eats up so much electricity that everybody else is priced out

> Eats up so much GPU & DRAM that everyone else is priced out

> Devours jobs like Ghibli's No-face

> Falsely identifies people as criminals who aren't

> Hallucinates legal briefs in your court case

> Destroys the validity of all video evidence in all courts everywhere

> Facetracks children playing at the park

> Generates infinite piles of dogshit spaghetti code that can't be read or revised

> Can't count to 100, doesn't know how many r's are in Strawberry

> Deep-fakes Martin Luther King Jr. stealing fried chicken, Studio Ghibli child porn

> Produces ugly, smeary, unappealing fake video that nobody likes.

Added: Consumes water at a rate that will desertify our entire planet.

Added: Completely destroys college education, both in terms of cheating and inability to read/write

Added: Makes all art suspected as fake, all art stealable and reguritated.

Added: Allows world leaders to fake their health, presence, & speaking capacity.

Added: Not even a Language Model.

Added: Fake/bullshit content and rampant chatbotting means the Internet is now mostly dead.

Added: AI warfare is inept and kills innocent/misidentified people. AI security bots are in the works for your home town.

Added: Allows for extortion, sextortion, scamming at a level never seen before.

Current AI upsides:

> Sam Altman is rich, I guess, idk.

This entry was edited (3 weeks ago)

mastodon - Link to source

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) 😫

a screenshot of the site ClearSky updating in real time the Bluesky accounts that are blocking ICE. The page reads "U.S. immigration and customs enforcement" blocked by 72233 (accounts) with the date of the block... some seconds ago

ClearSky

ClearSky - Bringing information closer to you
clearsky.app
#bluesky

mastodon - Link to source

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…

AI and the Corporate Capture of Knowledge - Schneier on Security

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)
in reply to Jamie Gaskins

mastodon - Link to source

miki

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).

mastodon - Link to source
I'm wasting water and energy, on having GPT compare the SpeechPlayer code from Espeak's integration to the one standalone. What makes it sound different? What makes me prefer the standalone Speechplayer to the one inside Espeak? Why why why. I still don't know, but I've been trying both side by side and comparing. And despite mine having any language over-articulations right now (perhaps "combobox could be less open-mouthed), I still prefer it. Why? Why? Why! It's the same DSP. I checked the code, same 9 files. Same wave generator concept. So what changed.
This entry was edited (3 days ago)
in reply to x0

mastodon - Link to source

Tamas G

@x0 yeah, the analysis between the DSP layers didn't reveal it. It's the same core logic exactly, so for sure moving to Espeak's built-in IPA tokenizer rather than creating our own did it, that's really interesting. Somehow Espeak driving it really changed things versus us just reimplementing the Python tokenizer in C++ to use the same logic as the earlier standalone code always has.
@x0

mastodon - Link to source

TL;DR Most EV batteries will last longer than the cars they’re in. Battery degradation is at better (meaning: lower) rates than expected. Slow charging is better. Drive EV and don’t worry about your battery.

„Our 2025 analysis of over 22,700 electric vehicles, covering 21 different vehicle models, confirms that overall, modern EV batteries are robust and built to last beyond a typical vehicle’s service life.“

geotab.com/blog/ev-battery-hea…

#GoodNews #EV #Battery

Key Insights Average degradation rate: The average annual electric vehicle degradation rate is 2.3%. Power: High-power DC fast charging (>100kW) is the single largest stressor, leading to degradation rates up to twice that of the low power charging group (3.0% vs 1.5% per year). Climate: Hot climates impose a penalty on battery life, with vehicles operating in hot conditions degrading 0.4% faster per year than those in mild climates. Utilization: The increase in degradation from high daily use is a measurable but worthwhile trade-off for the gains in fleet productivity and ROI. State of charge (SOC): For most EV use, there's no need to worry about avoiding fully charging or emptying the battery. Degradation only speeds up when vehicles spend over 80% of their total time at or near-full or nearly empty charge levels.
#ev #goodnews #battery
This entry was edited (3 days ago)

mastodon - Link to source

PQ leader says Legault's resignation further evidence of need for independent Quebec

cbc.ca/news/canada/montreal/qu…

tl;dr: the leader of the PQ is full MAGA. He believe in Santa Claus. He believe that in the US dictatorship Quebec and it's francofascism would be safe. Remember MAGA implies hating anyone speaking something other than English.

#cdnpoli #qcpoli

#cdnpoli #qcpoli
This entry was edited (3 days ago)

mastodon - Link to source

Why Poilievre and Carney Are Silent on Grok’s Child Sexual Abuse

thetyee.ca/Opinion/2026/01/15/…

The former is just in his cesspool, running is con. The latter is just an hypocrite coward elite that would have no problem with Internet legislation when they can't enforce the basics.

#cdnpoli


Why Poilievre and Carney Are Silent on Grok’s Child Sexual Abuse | The Tyee

The Liberals are afraid of Trump. The Conservatives fear their base.
Eric Van Rythoven (The Tyee)
#cdnpoli

mastodon - Link to source
I think people are going to like this SAPI engine. Although be prepared for 17 times 4 voices added to your list? What's that. Uh, math. 68. So 68 voices at once? Yeah. We use a tokenizer though to create voices, so they're only made for the languages you have. I suppose someone could remove all language files from their pack and just have the languages they care about, then your voice list will shrink. That's the idea. Dynamic tokenization, what a concept. We read it and only expose the voices available not a predetermined list of languages.
in reply to Noel Romey

mastodon - Link to source

Tamas G

@ner Oooh. Yeah, the frontend doesn't expose any synthesize functions yet, mainly because that creates a direct-dependency on LibEspeak to be compiled into the DLL - that's when we get more into GPLV2 VS V3 scuffles. Ugh. This way I can link Espeak outside the DLL alongside it, just use the SAPI wrapper to delegate the communication between both rather than my frontend having a synthesize method. For now it's our best shot if we want the language flexibility of modern Espeak's IPA tokenization, sadly. But it's not a bad alternative.
@Noel Romey

hometown - Link to source

CALL TO ACTION on January 23, 2026

Minneapolis Labor Unions are calling for a full #GeneralStrike. No school, No work, No shopping. Those of us outside Minnesota, stand with the unions by not shopping.

“The Minnesota labor movement is united against the violent ICE occupation of our beloved cities .. Workers are essential for our communities to function. Since the ICE campaign of terror began, both immigrant and non-immigrant workers have feared for their safety when going to work, being at work, and coming home from work.

Working people, our schools our communities are under attack. Union members
are being detained commuting to and from work, tearing apart families. Parents are
being forced to stay home, students held out of school, fearing for their lives, all while
the employer class remains silent. Our labor federations are encouraging everyone to
participate on January 23rd.”

minneapolisunions.org/system/f…

#generalstrike

reshared this

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