Well, no NV Speech Sapi, for anyone. it just crashes when trying to speak, silently, no logs, no dumps, no nothin'. Haha. SAPI engines are hardest to debug. So no SAPI engine for anyone.
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!
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.
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.
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)
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
sometimes that's the right call, particularly when you want to find out what users like and you don't yet know what you're building. It very often isn't.
@miki yeah once you stop caring about wether or not your code runs optimal, or reliable, or does what it's actually supposed to, or can be maintained properly, you can surely be 20x productive, you'll just regret it afterwards at some point (or someone else who has to fix and maintain this mess will)
@miki in the short term, it might look like you're right, but in the long term, letting unreliable tech do your job is a bad idea. I'm sure I don't have to give more reasons, right?
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.
@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.
@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.
@miki @KatS don't get the wrong idea, this is pure curiosity.
I had the suspicion that the less someone knows about LLMs or ML, the more they think the tech is capable of, but that suspicion must be false, since you're around
@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.
@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...
@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):
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.
@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 Curl is closing their bug bounty program because it's far too easy to use LLMs to produce slop. It doesn't mean you can't use LLMs to produce non-slop, just that it is a technique some people have found to get money with not too much effort, and we haven't yet sufficiently adapted to it. This is a genuine problem.
@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.
My guess is that, if I talk about agape with a Christian who voted for Donald Tramp, then they'll look at me a gape, and they'll have no idea what I'm talking about.
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."
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.
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.
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).
Vubec nevim na co se divam, ale vlevo nahore pisou, ze bych si z tebe mohl rozsvitit vanocni stromecek a jeste by zbylo! Dodavas do site nebo ukladas do baterii?
No hele, kam jde ta energie? To necim brzdi, abys jako jel do kopce a tak, ne,? Takze teplo? Proc by to nemohlo nabijet nejakou baterku? A z te pak menic a cokoli? Hmmm
World famous track cyclist Robert Förstemann battles a 700w toaster. Can he, with his 74cm legs, generate enough energy to create a golden-brown toast? Pleas...
@mireeek Mě ten Zwift docela chytnul, přijde mi víc motivační a ty skupinové jízdy jsou super, utíká to mnohem rychleji než na Rouvy. Jinak přesně, venku je venku 👍👍
Což o to, namotivovaný jsem až běda! Dokonce jsem letos při každoročním hubnutí použil fintu fň a to, že jsem začal hubnout už před Vánoci. Letos to musí vyjít😁
I've been trying to save money by turning the thermostat way down, but the temps of the past days have pushed it back up. I remember as a kid, I loved the cold weather. The colder, the better. Now, I dislike the freezing cold, and hate the humid heat of summer. I can't win.
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.
I've been testing several words and strings by writing them in the text input, then pressing speak and examining the IPA output, but I don't yet know how to deal with specific speech details. For example: the diphthong "ai" sounds perfect, but in the diphtong "ei" I can hardly hear the semivowel I, despite nothing changes in the IPA output except for the first vowel from a to e. Also, the diphthong "ui" has an undesired gap between the two vowels.
@clv1 Thanks for testing, this is really helpful. The “ay” style diphthong sounds clear because the first vowel and the second vowel are very far apart, so the slide into the second part is obvious. With the “eh to ee” style diphthong, those two vowels are much closer, so the second part can be hard to notice even though the text-to-IPA output looks basically the same. This one we can mostly solve in the language packs: we can treat the second part as a glide (a “y” sound) instead of a full vowel, and we can also tweak the “eh” vowel a little so it doesn’t sit so close to “ee.” Both changes make the second part stand out more. The “oo-ee” style diphthong having a gap is usually a different issue: our synthesizer adds a tiny boundary pause between sound segments to keep speech crisp. That helps with many consonants, but it can accidentally create a hole between two vowels. Packs can reduce that pause, but that affects everything in the language. The clean fix is in the engine: detect vowel-to-vowel transitions and don’t insert that boundary pause there, just blend smoothly. I'll build that into the next update.
@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.
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.“
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.
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Confer is designed to look and feel like ChatGPT or Claude, but your conversations can't be used for training or advertising. https://techcrunch.
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.
So technically, I could even build an NVDA 2026.1 driver right now, even today, now that I have these 64-bit libs. Y'all have no idea how tempting that is...
@flyingpenguinMwauthzyx oh yeah, image descriptions built into NVDA through a local model is the other big one I know of. I also hear they improved Arm64 performance, which is nice. Things like that, I haven't really installed the alpha builds yet to check out the what's new file.
@Bri yeah I think that's totally doable, I wonder if they changed anything else in the SynthDriver API in 2026 or the driver itself can work with drop-in DLLs. I guess that's the big question LOL.
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.
Should have a configurator of some sort that lets us check and unchecked languages to expose, are you using an enumerator or exposing voice token keys directly?
Very interesting. The 64-bit versions of the NVSpeech Player DLLS? 202 KB (vs 175 for 32-bit) on the frontend, 19 KB (VS 16 KB) on the DSP engine. There you go. Bundled with Espeak-x64 and libespeak.dll, it's still a small package.
Just's truly amazing. So often, developeers don't prune old code. I'm in that process now. I'm not in the kilobytes healm because of libraries I need to use. Heck I could add your dll to JJ flex to support people who don't have a screen reader installed. Do you have a library method whereas I could send text directly to the synth, or would I just need to make a sapi call and have the installer install your synth?
@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.
No. 'do not be too hard to include espeak and this thing. Guessing it's super responsive as well. I doubt many would not have a screen reader, but it might be cool to add support so I’d not rely on stupid one core voices.
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.”
Walter Francis White was a Black man born to two Black parents, but he had blonde hair and blue eyes. (This is genetically possible without any extramarital affairs; it's just rare.)
He used his white passing appearance to pose as a white journalist and learn the truth about lynchings in the South. He investigated 41 lynchings and 8 race riots at enormous risk to his life. His documentation then helped the NAACP lobby for anti-lynching legislation.
In the story of America's fight for civil rights, certain names ring out: Martin Luther King Jr., Rosa Parks, and Thurgood Marshall. Yet, many figures who laid the essential groundwork for their work remain less known.
He's yet another figure I didn't learn about in my whitewashed history classes, but I can benefit from his example now.
White people filming ICE are not the same; he was white passing but certainly not afforded the privileges of an actual white man. This was something he realized early while *watching* the Atlanta race riot of 1908 from the roof of his family home.
We can remember his courage, though. If he can do it as a man not afforded full civil rights, we can do it.
Federal anti-lynching laws were not passed in his lifetime, though his work did contribute to their passing.
Imagine if there had been millions of actual white people backing him up and documenting the violence.
That's possible now. Attempted purges of nonwhite people are nothing new in this country, but it's new to have millions of white people rising up. Obviously the regime didn't think that would happen! These people seriously thought most white people only pay lip service...
...to diversity and would actually welcome ICE ethnically cleansing "our" cities. They can't imagine anything else.
There are people who denigrate others' efforts because others are risking themselves to document abuses, but aren't shooting anybody. It's always people who do absolutely nothing.
Meanwhile one single man who didn't really have white privilege, who couldn't save lynching victims' lives, contributed to the passing of anti-lynching laws and ultimately prevented more deaths.
I've seen first hand how terrified the ICE agents are of cat ladies holding cameras. We were laughing about this last night at the resistance dance party. I was standing there in a taco costume talking to other protesters after an ICE watch shift and we were cracking up. "Imagine being afraid of me!" I exclaimed at one point. The visual really is hilarious.
Those cameras do make a difference. If you feel powerless watching videos of these horrors, know that you are not.
Our ICE watch prevents kidnappings just by making sure we get names and emergency phone numbers of people who go for appointments at the ICE field office. And by standing there with cameras. Seriously, they try to lure people in for appointments away from cameras, but they are scared of us making sure people will have lawyers and families and community advocating for them. They really want to kidnap people off the street before the rapid response can get there. They want people to be...
...completely defenseless, just like domestic abusers do, and we know these are the same kind of men.
They're scared of being watched, they're so scared of lawyers they shut up a lawyer yesterday by threatening to detain two other people as well as her client if she didn't shut up. (She was rightly saying the kidnapping they were doing was illegal.) She had to shut up at that time but her client will have his day in court. We initiated community support.
...tough away from cameras but not when the cameras are going. Not when there's a crowd. Not when there's even one VIP, such as Bishop Pham of San Diego, who showed up to immigration court and made the ICE agents scatter like cockroaches.
The movement makes real difference in the here and now and will make a real difference when we punish these people.
Walter F White realized he had power as one Black man in the US in the heyday of the Klan.
Hot take, but Logic's Vintage Upright is probably the best sampled upright I've ever heard. Considering Apple had absolutely horrible pianos up until like two years ago, it's crazy how far they've come
WE CAN EITHER HAVE A LIVEABLE PLANET OR BILLIONAIRES. WE CAN’T HAVE BOTH.
The findings of @oxfaminternational’s latest report, released just days ago, are honestly terrifying and infuriating.
This is not accidental. It is the result of an economic system that protects extreme wealth, fuels corporate pollution, and puts profits before people.
It’s time to FLIP THE SCRIPT. Tax extreme wealth. Make polluters pay. Ban private jets and superyachts. Put lives before profits.
I just used Chrome and gemini to describe a few sample pages of a graphic novel from wandering inn so I could understand and enjoy the series. All I can say is wow! I can say that though clunky, I had to go to the next page and reactivate gemini, it would work and I think I could spend money on this book and still enjoy it even though "The last tide" is a graphic novel. Amazing!
When I get married and have kids, I'll be a cool dad and let them study whatever they want, whether it be programming languages, proof theory, or category theory.
Translated: All ATMs from all big dutch banks rely on Amazon AWS. So if there's a disruption with the US and you think to yourself "hey, I'm gonna pay with cash", you won't be able to get cash.
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Alle geldautomaten van alle grote Nederlandse banken draaien exclusief op Amazon Web Services. Dus als er verstoring is met Amerika en je denkt, dan betaal ik wel cash, kom je niet aan cash.
When talking about DRAM please don't use the term "shortage", call it what it is: price manipulation.
Shortages are when things you want to buy cannot be bought anywhere, but DDR5 memory kits are widely available. There's hundreds of different types in stock at online retailers. I've yet to see a kit that is actually out of stock. This is the tech industry attempt at keeping high margins at a time when computer sales were already predicted to be declining. Don't fall for it. It's a scam.
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