#generative AI in public sector
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Genuine question, I was really surprised by your take on AI because of how many disabled people use it to be able to draw, paint, etc. If you don't mind, what's your feeling on that? Love your blog btw
I think putting AI on the same level as something like mouth painting or using body machine interfacing to create art is kind of (and by kind of, I mean deeply) insulting to disabled artists that existed and made art before AI became widely available for public use
To be completely honest I can’t think of a community of developers who hate disabled people more than the “generative AI” art crowd. Virtually none of these programs are accessible, and when they are accessible, they cause a massive amount of damage to the environment by consuming tons and tons of CO2 and water every hour of every day
My father is a high performance computing specialist working in the field of AI and like 75% of his coworkers are raging racist, misogynistic, ableist transphobes who have weirdly specific fantasies about global domination like it’s a bowl of cereal. I don’t think AI companies are inherently evil but they don’t attract good people with morals. Especially since this entire sector of the economy is based on blatant theft of others work
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So it turns out that Elons trip to Israel wasn't just for kosher theater and an IDF propaganda tour.
A secret meeting took place while he was there that went virtually unreported by any news media outlets.
In attendance was Netanyahu, Musk's tour organizer, investor Omri Casspi, Brigadier General Danny Gold, Head of the Israeli Directorate of Defense Research & Development and one of the developers of Iron Dome, Aleph venture capital funds partner Michael Eisenberg, and Israeli cybersecurity company CHEQ CEO Guy Tytunovich who is ex-israeli intelligence unit 8200.
The six men talked about technology in the service of Israel's defense, dealing with fake content and anti-Semitic and anti-Israeli comments, and the use by non-democratic countries of bots as part of campaigns to change perceptions, including on the X platform.
The solution Musk was presented was the Israeli unicorn CHEQ, a company founded by ex-Israeli intelligence unit 8200 CEO Guy Tytunovich that combats bots and fake users.
Following the meeting, Elon signed an agreement with cheQ, and apparently, the reason for the quick closing of the deal was Elons "direct involvement" with the company.
Now. What they won't tell you.
Israel is primarily responsible for the creation of bots. There currently exists dozens of ex-Israeli intelligence firms whose sole purpose is perception management, social media influencing/manipulation, disinformation campaigns, psychological operations, opposition research, and honey traps.
They create state of art, multi layer, AI avatars that are virtually indistinguishable from a real human online. They infiltrate target audiences with these elaborately crafted social-media personas and spread misleading information through websites meant to mimic news portals. They secretly manipulate public opinion across app social media platforms.
The applications of this technology are endless, and it has been used for character assassination, disruption of activism/protest, creating social upheaval/civil unrest, swaying elections, and toppling governments.
These companies are all founded by ex-Israeli intelligence and members of unit 8200. When they leave their service with the Israeli government, they are backed by hundreds of billions of dollars through Israeli venture capital groups tied to the Israeli government.
These companies utilize the technology and skills learned during their time served with Israeli intelligence and are an extension of the Israeli government that operates in the private sector.
In doing so, they operate with impunity across all geographical borders and outside the bounds of the law. The Israeli government is forbidden by law to spy on US citizens, but "ex" Israeli intelligence has no such limitations, and no laws currently exist to stop them.
Now back to X and Elon Musk.
Elon met with these people in secret to discuss how to use X in service of Israel's defense.
Elon hired an ex-Israeli intelligence firm to combat the bots…. that were created by another ex-israeli intelligence firm.
Elon hired an ex-israeli intelligence firm to verify your identity and collect your facial biometric data.
Do you see the problem yet?
Israel now has end to end control over X. Israel can conduct psychological operations and create social disinfo/influence campaigns on X with impunity. They now have facial biometric data from millions of people that can be used to create and populate these AI generated avatars.
They can manipulate public opinion, influence congressmen and senators, disrupt online movements, manipulate the algorithm to silence dissenting voices against Israel, and they can sway the US elections.
When the company that was hired to combat the bots is also Israeli intelligence…
Who is going to stop them?
Cyberspace is the wild.west. There are currently no laws on the books to regulate foreign influence on social media. There is nothing to stop them from conducting psychological operations and disinformation campaigns on unsuspecting US citizens. These companies operate with impunity across all geographical boundaries and there is nobody to stop them. But don't take my word for it.
For anyone wondering what the end game is for this, it was recently verbalized by Vivek Ramaswamy here on X. To narrow and completely eliminate the gap between what we say (think) in private and in public. In practice, the thought police of the future. And X is actively working on it.
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The (open) web is good, actually
I'll be at the Studio City branch of the LA Public Library tonight (Monday, November 13) at 1830hPT to launch my new novel, The Lost Cause. There'll be a reading, a talk, a surprise guest (!!) and a signing, with books on sale. Tell your friends! Come on down!
The great irony of the platformization of the internet is that platforms are intermediaries, and the original promise of the internet that got so many of us excited about it was disintermediation – getting rid of the middlemen that act as gatekeepers between community members, creators and audiences, buyers and sellers, etc.
The platformized internet is ripe for rent seeking: where the platform captures an ever-larger share of the value generated by its users, making the service worst for both, while lock-in stops people from looking elsewhere. Every sector of the modern economy is less competitive, thanks to monopolistic tactics like mergers and acquisitions and predatory pricing. But with tech, the options for making things worse are infinitely divisible, thanks to the flexibility of digital systems, which means that product managers can keep subdividing the Jenga blocks they pulling out of the services we rely on. Combine platforms with monopolies with digital flexibility and you get enshittification:
https://pluralistic.net/2023/01/21/potemkin-ai/#hey-guys
An enshittified, platformized internet is bad for lots of reasons – it concentrates decisions about who may speak and what may be said into just a few hands; it creates a rich-get-richer dynamic that creates a new oligarchy, with all the corruption and instability that comes with elite capture; it makes life materially worse for workers, users, and communities.
But there are many other ways in which the enshitternet is worse than the old good internet. Today, I want to talk about how the enshitternet affects openness and all that entails. An open internet is one whose workings are transparent (think of "open source"), but it's also an internet founded on access – the ability to know what has gone before, to recall what has been said, and to revisit the context in which it was said.
At last week's Museum Computer Network conference, Aaron Straup Cope gave a talk on museums and technology called "Wishful Thinking – A critical discussion of 'extended reality' technologies in the cultural heritage sector" that beautifully addressed these questions of recall and revisiting:
https://www.aaronland.info/weblog/2023/11/11/therapy/#wishful
Cope is a museums technologist who's worked on lots of critical digital projects over the years, and in this talk, he addresses himself to the difference between the excitement of the galleries, libraries, archives and museums (GLAM) sector over the possibilities of the web, and why he doesn't feel the same excitement over the metaverse, and its various guises – XR, VR, MR and AR.
The biggest reason to be excited about the web was – and is – the openness of disintermediation. The internet was inspired by the end-to-end principle, the idea that the network's first duty was to transmit data from willing senders to willing receivers, as efficiently and reliably as possible. That principle made it possible for whole swathes of people to connect with one another. As Cope writes, openness "was not, and has never been, a guarantee of a receptive audience or even any audience at all." But because it was "easy and cheap enough to put something on the web," you could "leave it there long enough for others to find it."
That dynamic nurtured an environment where people could have "time to warm up to ideas." This is in sharp contrast to the social media world, where "[anything] not immediately successful or viral … was a waste of time and effort… not worth doing." The social media bias towards a river of content that can't be easily reversed is one in which the only ideas that get to spread are those the algorithm boosts.
This is an important way to understand the role of algorithms in the context of the spread of ideas – that without recall or revisiting, we just don't see stuff, including stuff that might challenge our thinking and change our minds. This is a much more materialistic and grounded way to talk about algorithms and ideas than the idea that Big Data and AI make algorithms so persuasive that they can control our minds:
https://pluralistic.net/2023/11/06/attention-rents/#consumer-welfare-queens
As bad as this is in the social media context, it's even worse in the context of apps, which can't be linked into, bookmarked, or archived. All of this made apps an ominous sign right from the beginning:
https://memex.craphound.com/2010/04/01/why-i-wont-buy-an-ipad-and-think-you-shouldnt-either/
Apps interact with law in precisely the way that web-pages don't. "An app is just a web-page wrapped in enough IP to make it a crime to defend yourself against corporate predation":
https://pluralistic.net/2023/08/27/an-audacious-plan-to-halt-the-internets-enshittification-and-throw-it-into-reverse/
Apps are "closed" in every sense. You can't see what's on an app without installing the app and "agreeing" to its terms of service. You can't reverse-engineer an app (to add a privacy blocker, or to change how it presents information) without risking criminal and civil liability. You can't bookmark anything the app won't let you bookmark, and you can't preserve anything the app won't let you preserve.
Despite being built on the same underlying open frameworks – HTTP, HTML, etc – as the web, apps have the opposite technological viewpoint to the web. Apps' technopolitics are at war with the web's technopolitics. The web is built around recall – the ability to see things, go back to things, save things. The web has the technopolitics of a museum:
https://www.aaronland.info/weblog/2014/09/11/brand/#dconstruct
By comparison, apps have the politics of a product, and most often, that product is a rent-seeking, lock-in-hunting product that wants to take you hostage by holding something you love hostage – your data, perhaps, or your friends:
https://www.eff.org/deeplinks/2021/08/facebooks-secret-war-switching-costs
When Anil Dash described "The Web We Lost" in 2012, he was describing a web with the technopolitics of a museum:
where tagging was combined with permissive licenses to make it easy for people to find and reuse each others' stuff;
where it was easy to find out who linked to you in realtime even though most of us were posting to our own sites, which they controlled;
where a link from one site to another meant one person found another person's contribution worthy;
where privacy-invasive bids to capture the web were greeted with outright hostility;
where every service that helped you post things that mattered to you was expected to make it easy for you take that data back if you changed services;
where inlining or referencing material from someone else's site meant following a technical standard, not inking a business-development deal;
https://www.anildash.com/2012/12/13/the_web_we_lost/
Ten years later, Dash's "broken tech/content culture cycle" described the web we live on now:
https://www.anildash.com/2022/02/09/the-stupid-tech-content-culture-cycle/
found your platform by promising to facilitate your users' growth;
order your technologists and designers to prioritize growth above all other factors and fire anyone who doesn't deliver;
grow without regard to the norms of your platform's users;
plaster over the growth-driven influx of abusive and vile material by assigning it to your "most marginalized, least resourced team";
deliver a half-assed moderation scheme that drives good users off the service and leaves no one behind but griefers, edgelords and trolls;
steadfastly refuse to contemplate why the marginalized users who made your platform attractive before being chased away have all left;
flail about in a panic over illegal content, do deals with large media brands, seize control over your most popular users' output;
"surface great content" by algorithmically promoting things that look like whatever's successful, guaranteeing that nothing new will take hold;
overpay your top performers for exclusivity deals, utterly neglect any pipeline for nurturing new performers;
abuse your creators the same ways that big media companies have for decades, but insist that it's different because you're a tech company;
ignore workers who warn that your product is a danger to society, dismiss them as "millennials" (defined as "anyone born after 1970 or who has a student loan")
when your platform is (inevitably) implicated in a murder, have a "town hall" overseen by a crisis communications firm;
pay the creator who inspired the murder to go exclusive on your platform;
dismiss the murder and fascist rhetoric as "growing pains";
when truly ghastly stuff happens on your platform, give your Trust and Safety team a 5% budget increase;
chase growth based on "emotionally engaging content" without specifying whether the emotions should be positive;
respond to ex-employees' call-outs with transient feelings of guilt followed by dismissals of "cancel culture":
fund your platforms' most toxic users and call it "free speech";
whenever anyone disagrees with any of your decisions, dismiss them as being "anti-free speech";
start increasing how much your platform takes out of your creators' paychecks;
force out internal dissenters, dismiss external critics as being in conspiracy with your corporate rivals;
once regulation becomes inevitable, form a cartel with the other large firms in your sector and insist that the problem is a "bad algorithm";
"claim full victim status," and quit your job, complaining about the toll that running a big platform took on your mental wellbeing.
https://pluralistic.net/2022/02/18/broken-records/#dashes
The web wasn't inevitable – indeed, it was wildly improbable. Tim Berners Lee's decision to make a new platform that was patent-free, open and transparent was a complete opposite approach to the strategy of the media companies of the day. They were building walled gardens and silos – the dialup equivalent to apps – organized as "branded communities." The way I experienced it, the web succeeded because it was so antithetical to the dominant vision for the future of the internet that the big companies couldn't even be bothered to try to kill it until it was too late.
Companies have been trying to correct that mistake ever since. After three or four attempts to replace the web with various garbage systems all called "MSN," Microsoft moved on to trying to lock the internet inside a proprietary browser. Years later, Facebook had far more success in an attempt to kill HTML with React. And of course, apps have gobbled up so much of the old, good internet.
Which brings us to Cope's views on museums and the metaverse. There's nothing intrinsically proprietary about virtual worlds and all their permutations. VRML is a quarter of a century old – just five years younger than Snow Crash:
https://en.wikipedia.org/wiki/VRML
But the current enthusiasm for virtual worlds isn't merely a function of the interesting, cool and fun experiences you can have in them. Rather, it's a bid to kill off whatever is left of the old, good web and put everything inside a walled garden. Facebook's metaverse "is more of the same but with a technical footprint so expensive and so demanding that it all but ensures it will only be within the means of a very few companies to operate."
Facebook's VR headsets have forward-facing cameras, turning every users into a walking surveillance camera. Facebook put those cameras there for "pass through" – so they can paint the screens inside the headset with the scene around you – but "who here believes that Facebook doesn't have other motives for enabling an always-on camera capturing the world around you?"
Apple's VisionPro VR headset is "a near-perfect surveillance device," and "the only thing to save this device is the trust that Apple has marketed its brand on over the last few years." Cope notes that "a brand promise is about as fleeting a guarantee as you can get." I'll go further: Apple is already a surveillance company:
https://pluralistic.net/2022/11/14/luxury-surveillance/#liar-liar
The technopolitics of the metaverse are the opposite of the technopolitics of the museum – even moreso than apps. Museums that shift their scarce technology budgets to virtual worlds stand a good chance of making something no one wants to use, and that's the best case scenario. The worst case is that museums make a successful project inside a walled garden, one where recall is subject to corporate whim, and help lure their patrons away from the recall-friendly internet to the captured, intermediated metaverse.
It's true that the early web benefited from a lot of hype, just as the metaverse is enjoying today. But the similarity ends there: the metaverse is designed for enclosure, the web for openness. Recall is a historical force for "the right to assembly… access to basic literacy… a public library." The web was "an unexpected gift with the ability to change the order of things; a gift that merits being protected, preserved and promoted both internally and externally." Museums were right to jump on the web bandwagon, because of its technopolitics. The metaverse, with its very different technopolitics, is hostile to the very idea of museums.
In joining forces with metaverse companies, museums strike a Faustian bargain, "because we believe that these places are where our audiences have gone."
The GLAM sector is devoted to access, to recall, and to revisiting. Unlike the self-style free speech warriors whom Dash calls out for self-serving neglect of their communities, the GLAM sector is about preservation and access, the true heart of free expression. When a handful of giant companies organize all our discourse, the ability to be heard is contingent on pleasing the ever-shifting tastes of the algorithm. This is the problem with the idea that "freedom of speech isn't freedom of reach" – if a platform won't let people who want to hear from you see what you have to say, they are indeed compromising freedom of speech:
https://pluralistic.net/2022/12/10/e2e/#the-censors-pen
Likewise, "censorship" is not limited to "things that governments do." As Ada Palmer so wonderfully describes it in her brilliant "Why We Censor: from the Inquisition to the Internet" speech, censorship is like arsenic, with trace elements of it all around us:
https://www.youtube.com/watch?v=uMMJb3AxA0s
A community's decision to ban certain offensive conduct or words on pain of expulsion or sanction is censorship – but not to the same degree that, say, a government ban on expressing certain points of view is. However, there are many kinds of private censorship that rise to the same level as state censorship in their impact on public discourse (think of Moms For Liberty and their book-bannings).
It's not a coincidence that Palmer – a historian – would have views on censorship and free speech that intersect with Cope, a museum worker. One of the most brilliant moments in Palmer's speech is where she describes how censorship under the Inquistion was not state censorship – the Inquisition was a multinational, nongovernmental body that was often in conflict with state power.
Not all intermediaries are bad for speech or access. The "disintermediation" that excited early web boosters was about escaping from otherwise inescapable middlemen – the people who figured out how to control and charge for the things we did with one another.
When I was a kid, I loved the writing of Crad Kilodney, a short story writer who sold his own self-published books on Toronto street-corners while wearing a sign that said "VERY FAMOUS CANADIAN AUTHOR, BUY MY BOOKS" (he also had a sign that read, simply, "MARGARET ATWOOD"). Kilodney was a force of nature, who wrote, edited, typeset, printed, bound, and sold his own books:
https://www.theglobeandmail.com/arts/books/article-late-street-poet-and-publishing-scourge-crad-kilodney-left-behind-a/
But there are plenty of writers out there that I want to hear from who lack the skill or the will to do all of that. Editors, publishers, distributors, booksellers – all the intermediaries who sit between a writer and their readers – are not bad. They're good, actually. The problem isn't intermediation – it's capture.
For generations, hucksters have conned would-be writers by telling them that publishing won't buy their books because "the gatekeepers" lack the discernment to publish "quality" work. Friends of mine in publishing laughed at the idea that they would deliberately sideline a book they could figure out how to sell – that's just not how it worked.
But today, monopolized film studios are literally annihilating beloved, high-priced, commercially viable works because they are worth slightly more as tax writeoffs than they are as movies:
https://deadline.com/2023/11/coyote-vs-acme-shelved-warner-bros-discovery-writeoff-david-zaslav-1235598676/
There's four giant studios and five giant publishers. Maybe "five" is the magic number and publishing isn't concentrated enough to drop whole novels down the memory hole for a tax deduction, but even so, publishing is trying like hell to shrink to four:
https://pluralistic.net/2022/11/07/random-penguins/#if-you-wanted-to-get-there-i-wouldnt-start-from-here
Even as the entertainment sector is working to both literally and figuratively destroy our libraries, the cultural heritage sector is grappling with preserving these libraries, with shrinking budgets and increased legal threats:
https://blog.archive.org/2023/03/25/the-fight-continues/
I keep meeting artists of all description who have been conditioned to be suspicious of anything with the word "open" in its name. One colleague has repeatedly told me that fighting for the "open internet" is a self-defeating rhetorical move that will scare off artists who hear "open" and think "Big Tech ripoff."
But "openness" is a necessary precondition for preservation and access, which are the necessary preconditions for recall and revisiting. Here on the last, melting fragment of the open internet, as tech- and entertainment-barons are seizing control over our attention and charging rent on our ability to talk and think together, openness is our best hope of a new, good internet. T
he cultural heritage sector wants to save our creative works. The entertainment and tech industry want to delete them and take a tax writeoff.
As a working artist, I know which side I'm on.
If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:
https://pluralistic.net/2023/11/13/this-is-for-everyone/#revisiting
Image: Diego Delso (modified) https://commons.wikimedia.org/wiki/File:Museo_Mimara,_Zagreb,_Croacia,_2014-04-20,_DD_01.JPG
CC BY-SA 4.0 https://creativecommons.org/licenses/by-sa/4.0/
#pluralistic#ar#xr#vr#augmented reality#extended reality#virtual reality#museums#cultural preservation#aaron cope#Museum Computer Network#cultural heritage#glam#access#open access#revisiting#mr#mixed reality#asynchronous#this is for everyone#freedom of reach#gatekeepers#metaverse#technofeudalism#privacy#brick on the face#rent-seeking
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@oakfern replied to your post “it's going to be fun to watch the realization...”:
i feel like this is going to play out very similarly to voice assistants. there was a huge boom in ASR research, the products got a lot of hype, and they actually sold decently (at least alexa did). but 10 years on, they've been a massive failure, costing way more than they ever made back. even if ppl do think chatbot search engines are exciting and cool, it's not going to bring in more users or sell more products, and in the end it will just be a financial loss
(Responding to this a week late)
I don't know much about the history of voice assistants. Are there any articles you recommend on the topic? Sounds interesting.
ETA: Iater, I found and read this article from Nov 2022, which reports that Alexa and co. still can't turn a profit after many years of trying.
But anyway, yeah... this is why I don't have a strong sense of how widespread/popular these "generative AI" products will be a year or two from now. Or even five years from now.
(Ten years from now? Maybe we can trust the verdict will be in at that point... but the tech landscape of 2033 is going to be so different from ours that the question "did 'generative AI' take off or not?" will no doubt sound quaint and irrelevant.)
Remember when self-driving cars were supposed to be right around the corner? Lots of people took this imminent self-driving future seriously.
And I looked at it, and thought "I don't get it, this problem seems way harder than people are giving it credit for. And these companies show no signs of having discovered some clever proprietary way forward." If people asked me about it, that's what I would say.
But even if I was sure that self-driving cars wouldn't arrive on schedule, that didn't give me much insight into the fate of "self-driving cars," the tech sector meme. It wasn't like there was some specific deadline, and when we crossed it everyone was going to look up and say "oh, I guess that didn't work, time to stop investing."
The influx of capital -- and everything downstream from it, the trusting news stories, the prominence of the "self-driving car future" in the public mind, the seriousness which it was talked about -- these things went on, heedless of anything except their own mysterious internal logic.
They went on until . . . what? The pandemic, probably? I actually still don't know.
Something definitely happened:
In 2018 analysts put the market value of Waymo LLC, then a subsidiary of Alphabet Inc., at $175 billion. Its most recent funding round gave the company an estimated valuation of $30 billion, roughly the same as Cruise. Aurora Innovation Inc., a startup co-founded by Chris Urmson, Google’s former autonomous-vehicle chief, has lost more than 85% since last year [i.e. 2021] and is now worth less than $3 billion. This September a leaked memo from Urmson summed up Aurora’s cash-flow struggles and suggested it might have to sell out to a larger company. Many of the industry’s most promising efforts have met the same fate in recent years, including Drive.ai, Voyage, Zoox, and Uber’s self-driving division. “Long term, I think we will have autonomous vehicles that you and I can buy,” says Mike Ramsey, an analyst at market researcher Gartner Inc. “But we’re going to be old.”
Whatever killed the "self-driving car" meme, though, it wasn't some newly definitive article of proof that the underlying ideas were flawed. The ideas never made sense in the first place. The phenomenon was not really about the ideas making sense.
Some investors -- with enough capital, between them, to exert noticable distortionary effects on entire business sectors -- decided that "self-driving cars" were, like, A Thing now. And so they were, for a number of years. Huge numbers of people worked very hard trying to make "self-driving cars" into a viable product. They were paid very well to do. Talent was diverted away from other projects, en masse, into this effort. This went on as long as the investors felt like sustaining it, and they were in no danger of running out of money.
Often the "tech sector" feels less like a product of free-market incentives than it does like a massive, weird, and opaque public works product, orchestrated by eccentrics like Masayoshi Son, and ultimately organized according to the aesthetic proclivities and changing moods of its architects, not for the purpose of "doing business" in the conventional sense.
Gig economy delivery apps (Uber Eats, Doordash, etc.) have been ubiquitous for years, and have reported huge losses in every one of those years.
This entertaining post from 2020 about "pizza arbitrage" asks:
Which brings us to the question - what is the point of all this? These platforms are all losing money. Just think of all the meetings and lines of code and phone calls to make all of these nefarious things happen which just continue to bleed money. Why go through all this trouble?
Grubhub just lost $33 million on $360 million of revenue in Q1.
Doordash reportedly lost an insane $450 million off $900 million in revenue in 2019 (which does make me wonder if my dream of a decentralized network of pizza arbitrageurs does exist).
Uber Eats is Uber's "most profitable division” 😂😂. Uber Eats lost $461 million in Q4 2019 off of revenue of $734 million. Sometimes I need to write this out to remind myself. Uber Eats spent $1.2 billion to make $734 million. In one quarter.
And now, in February 2023?
DoorDash's total orders grew 27% to 467 million in the fourth quarter. That beat Wall Street’s forecast of 459 million, according to analysts polled by FactSet. Fourth quarter revenue jumped 40% to $1.82 billion, also ahead of analysts’ forecast of $1.77 billion.
But profits remain elusive for the 10-year-old company. DoorDash said its net loss widened to $640 million, or $1.65 per share, in the fourth quarter as it expanded into new categories and integrated Wolt into its operations.
Do their investors really believe these companies are going somewhere, and just taking their time to get there? Or is this more like a subsidy? The lost money (a predictable loss in the long term) merely the price paid for a desired good -- for an intoxicating exercise of godlike power, for the chance to reshape reality to one's whims on a large scale -- collapsing the usual boundary between self and outside, dream and reality? "The gig economy is A Thing, now," you say, and wave your hand -- and so it is.
Some people would pay a lot of money to be a god, I would think.
Anyway, "generative AI" is A Thing now. It wasn't A Thing a year ago, but now it is. How long will it remain one? The best I can say is: as long as the gods are feeling it.
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ChatGPT has already wreaked havoc on classrooms and changed how teachers approach writing homework, since OpenAI publicly launched the generative AI chatbot in late 2022. School administrators rushed to try to detect AI-generated essays, and in turn, students scrambled to find out how to cloak their synthetic compositions. But by focusing on writing assignments, educators let another seismic shift take place in the periphery: students using AI more often to complete math homework too.
Right now, high schoolers and college students around the country are experimenting with free smartphone apps that help complete their math homework using generative AI. One of the most popular options on campus right now is the Gauth app, with millions of downloads. It’s owned by ByteDance, which is also TikTok’s parent company.
The Gauth app first launched in 2019 with a primary focus on mathematics, but soon expanded to other subjects as well, like chemistry and physics. It’s grown in relevance, and neared the top of smartphone download lists earlier this year for the education category. Students seem to love it. With hundreds of thousands of primarily positive reviews, Gauth has a favorable 4.8 star rating in the Apple App Store and Google Play Store.
All students have to do after downloading the app is point their smartphone at a homework problem, printed or handwritten, and then make sure any relevant information is inside of the image crop. Then Gauth’s AI model generates a step-by-step guide, often with the correct answer.
From our testing on high-school-level algebra and geometry homework samples, Gauth’s AI tool didn’t deliver A+ results and particularly struggled with some graphing questions. It performed well enough to get around a low B grade or a high C average on the homework we fed it. Not perfect, but also likely good enough to satisfy bored students who'd rather spend their time after school doing literally anything else.
The app struggled more on higher levels of math, like Calculus 2 problems, so students further along in their educational journey may find less utility in this current generation of AI homework-solving apps.
Yes, generative AI tools, with a foundation in natural language processing, are known for failing to generate accurate answers when presented with complex math equations. But researchers are focused on improving AI’s abilities in this sector, and an entry-level high school math class is likely well within the reach of current AI homework apps. Will has even written about how researchers at Google DeepMind are ecstatic about recent results from testing a math-focused large language model, called AlphaProof, on problems shown at this year’s International Math Olympiad.
To be fair, Gauth positions itself as an AI study company that’s there to “ace your homework” and help with difficult problems, rather than a cheating aid. The company even goes so far as to include an “Honor Code” on its website dictating proper usage. “Resist the temptation to use Gauth in ways that go against your values or school’s expectations,” reads the company’s website. So basically, Gauth implicitly acknowledges impulsive teenagers may use the app for much more than the occasional stumper, and wants them to pinkie promise that they’ll behave.
Prior to publication, a spokesperson for ByteDance did not answer a list of questions about the Gauth app when contacted by WIRED over email.
It’s easy to focus on Gauth’s limitations, but millions of students now have a free app in their pocket that can walk them through various math problems in seconds, with decent accuracy. This concept would be almost inconceivable to students from even a few years ago.
You could argue that Gauth promotes accessibility for students who don’t have access to quality education or who process information at a slower pace than their teacher’s curriculum. It’s a perspective shared by proponents of using AI tools, like ChatGPT, in the classroom. As long as the students all make it to the same destination, who cares what path they took on the journey? And isn’t this just the next evolution in our available math tools? We moved on from the abacus to the graphing calculator, so why not envision generative AI as another critical step forward?
I see value in teachers thoughtfully employing AI in the classroom for specific lessons or to provide students with more personalized practice questions. But I can’t get out of my head how this app, if students overly rely on it, could hollow out future generations’ critical thinking skills—often gleaned from powering through frustrating math classes and tough homework assignments. (I totally get it, though, as an English major.)
Educational leaders are missing the holistic picture if they continue to focus on AI-generated essays as the primary threat that could undermine the current approach to teaching. Instead of arduous assignments to complete outside of class, maybe centering in-class math practice could continue to facilitate positive learning outcomes in the age of AI.
If Gauth and apps like it eventually lead to the demise of math homework for high schoolers, throngs of students will breathe a collective sigh of relief. How will parents and educators respond? I’m not so sure. That remains an open question, and one for which Gauth can’t calculate an answer yet either.
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did you hear about the LAION stuff?
yeah i mean it is obviously really fucking bad but i think a lot of the reporting on it is disingenous in presenting this as a specific problem or failure of LAION / the AI sector when it is really just indicative of a much wider problem with the prevalence of CSAM on the internet. like, ending up with CSAM in your dataset is kind of a natural consequence of scraping the public facing internet, because places like facebook and twitter are fucking rife with it. facebook removed more than 70 million posts last year for violating its CSAM policy -- if we give them the extremely generous benefit of the doubt and say that their moderation is capable of catching 99% of it, that's still 700,000 CSAM images/videos left up in 2022 alone. like a lot of things with AI, it's just showcasing a much wider problem that's unfortunatley much more difficult to resolve.
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AIDA SARMIENTO
Global Business Maven Aida Expands Impact, Advocates Sustainable Fashion.
Ries Del Sur – Aida, a prominent figure in the global cosmetics and fashion sector, has unleashed a series of initiatives aimed at promoting environmental responsibility and uplifting underrepresented artists. In a concerted effort to reduce her fashion line's environmental footprint, Aida has pledged to incorporate eco-friendly materials, thereby minimizing plastic waste in her beauty product packaging. Her outreach does not end there.
Aida has extended this support to emerging, gifted artists often overlooked by the industry, providing them with financial backing, mentorship, and a platform to shine.
One of the talented beneficiaries, Melody Guzman , expressed her gratitude, stating, "Aida's backing has granted me a spotlight I never envisioned attaining. It is truly inspiring to witness someone as accomplished as her extending a helping hand to the up-and-coming generation."
In addition to her entrepreneurial pursuits, Aida has recently engaged in political activism, championing more stringent regulations on vigilante actions within the country's jurisdiction. She has been unambiguous in her convictions, famously asserting, "Superheroes are a liability running in flashy costume," making it obvious that she wants proper authorities to handle public safety rather than entrusting unruly individuals.
OOC moment/mod mj: yeaahhh what you read was a lie except for like... the last part.
[I run these blogs: @gothamskidgenius @maryjayden ]
Soo here's the rest of her about
———
Name: Aida Sarmiento
Age: Early 30's
Gender: Female (She/Her)
Sexuality: Unlabled
Skill: Corporate Leadership & Business Strategy
Likes:
- Sowing
- Fur coats
- Conspiracy theories
- Pastries
- Trinkets
Dislikes:
- alcohol
- any form of smoking
- AI art/ NFTs
- Hot weather
- Cluttered workspaces
- Strong perfume/cologne
HEADCANONS:
• Adores trinkets— especially with parts from kids' toys. It could be a fruit eraser, a shopkin, a random lego piece. She's keeping it in her trinket box.
• She flirted with an crazy amount of people throughout her life but never really considered dating.
• Her father was a drag queen.
• Feels a little motherly towards younger workers and tries to brush it aside.
• Says ASMR is weird but listens to it every night.
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🔘FRIDAY - events from Israel
ISRAEL REALTIME - Connecting to Israel in Realtime
✡️Erev Shabbat - Parshat (Torah portion) Shoftim - Deuteronomy 16:18 - Moses instructs the people of Israel to appoint judges and law enforcement officers in every city. “Justice, justice shall you pursue,” he commands them, and you must administer it without corruption or favoritism.
▪️HAMAS HORROR PROPAGANDA.. during the Shivah, Hamas publishes a video from the captivity of the murdered hostage Hersh Goldberg-Polin, may G-d avenge his blood. Reports the US is upset as this may affect negotiations., the murdered was a US citizen.
▪️SAMARIA - JENIN.. The Arabs report that the IDF forces left the city of Jenin and the Jenin camp area after ten days of military activity. The Mayor of Jenin: The occupation has halted the supply of electricity and water to Jenin. The Palestinian Authority will require external assistance to rebuild Jenin and the Jenin camp. The IDF: "We are continuing the operation in Jenin until its objectives are completed."
▪️TIT-FOR-TAT CONTINUES WITH HEZBOLLAH.. 100 rockets and missiles were launched by Hezbollah at northern Israel yesterday. IDF fighter jets struck more than 10 Hezbollah rocket launchers and other infrastructure across southern Lebanon overnight, per the IDF.
The military says the targets had "posed a threat to Israeli civilians."
▪️1,307 ROCKETS.. were fired at Israel from the north, Lebanon and Syria, amounting to just over 40 a day on average.
▪️ON THE CONSULATE ATTACK IN MUNICH, GERMANY.. official: the shooter in Munich was an Islamist terrorist of Bosnian origin who belonged to the Syrian organization Jabhat al-Nusra.
▪️ON THE ATTORNEY GENERAL SCANDAL.. Amit Segal: Mandelblit's court request for a gag order was rejected.
.. Recordings: how he recognized a strategic consultant as his main opponent - after two years he sent him to false arrest in a far-fetched affair without disqualifying himself. (N12)
▪️ON THE TEACHER UNION HIGH SCHOOL STRIKE.. Against the background of the strike: alternative educational frameworks will be activated starting next week. In a joint initiative of the Ministry of Education, the Ministry of Finance and the Local Government Center to be operated by the local authorities, the ministries agreed on the activation of alternative frameworks for secondary school students.
▪️AI.. Israel has signed the Council of Europe Convention on the Use of Artificial Intelligence. The purpose of the treaty is to ensure that artificial intelligence systems operate while maintaining human rights, democracy and the rule of law, without creating new human rights. The convention applies mainly to artificial intelligence systems used by the public sector, while excluding uses in national security contexts and some of the R&D stages.
▪️ECONOMY.. Salesforce buys the Israeli startup Own for $1.9 billion.
▪️NEWS SOURCES.. Survey: Israelis, what is the main TV channel where you keep up to date about the war? Ch. 12 - 38%, Ch. 14 36%. ( Ch. 13 apparently doesn’t make the list, and sadly neither does Israel Realtime. Did you know you can share us with a friend? Send them the links at the bottom, they click, they join! Special Rosh Chodesh deal
♦️SAMARIA - TUBAS.. IDF carried out three drone strikes against Arab gunmen who were shooting at troops during a raid in the Tubas. Forces began a new raid overnight in Tubas and the nearby Far'a camp, as well as a separate operation in Jericho.
#Israel#October 7#HamasMassacre#Israel/HamasWar#IDF#Gaza#Palestinians#Realtime Israel#Hezbollah#Lebanon
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Tired Webcomic Creator Noises
Gags … ah yes lets make art into mindless content spat out by Ai cos we've been literally killing creators with inhumane workloads to spit out as many episodes as possible for mindless consumption.
I make my comics with passion and love of the craft! I have a degree in Comics, I spent years...years learning, practising, experimenting, adapting. I recall the days where you may get a page a week, or a few at the start of the month back in the 2000s era of self hosted webcomics and smackjeeves. (Rant below)
I've had to learn how the whole scrolling format worked to adapt to where all the readers had gone to, having been taught the traditional print page formats. And now cos its suddenly a massive money maker for these few hosts and they've pushed creators to the brink with the sheer volume they want pumped out that of course they want to use AI.
But it will speed up colouring! I have multiple tools available by the software I use and made by the wonderful people who love creating that colouring isn't that much of a chore, Its my fav part honestly. And its also a job sector within comics, colourists are skilled artists and this is another way to trim the fat, to pocket more money and keep churning out the 5th millionth villainess story.
Yes I am in most views a tiny creator, I haven't even broken their 1000 sub goal to even try applying for ad rev in the near 5 ish years on webtoon. But what I make I love, I spend hours researching folklore, scripting, drafting the whole kabudle like many other creators. And other than the kind supporters on my Patreon and Ko-fi I don't make much from the hours, days, weeks I pour into what I make. But at least I know its made with my own hands. That its made with love as corny as that sounds.
Ai is creeping its tentacles into everything, now ethically trained ai tools to help smaller creators would be fine. Most creators already rely on 3d tools to speed up things like backgrounds for webcomics. But when we don't know what its trained on, and is marketed wholesale as something anyone can use to make "content" is where it gets insidious. I am all for anyone with the desire to create and tell a story to go out there and do so, whether a beginner or a master. Part of the joy of a long running webcomic is seeing the artist grow both artistically and literary. But with ai it will be all one homogenous style, a copy of what ever is the hot thing. We already have amazon stuffed to the teeth with ai generated books, videos, merch and more all to be sold in some get rich quick manner. (need I point at the Willy's Wonderland incident). Youtube videos being spat out by faceless accounts stealing and regurgitating content at the speed no human video making team can easily match without cutting out quality or fact checking.
It is tiring. Creatives as a whole are treated poorly for decades, and now with the rapid late stage capitalism, website /social media enshitification and the blind headlong rush into the next big money making thing (watches the nft crash). I can't deny Covid sped this up, as everyone was locked inside and turned to what we creators made for comfort. But that content eating boom, lead to more demand, faster output and tighter budgets. We are seeing journalists being cut, game designers in their thousands and recently Dreamworks cutting a bunch and pushing to make their Robot film come out sooner due to public demands.
Skilled creatives are being treated like disposable fast food restaurant employees. Used til they burn out, get injured and even die! And then are simply replaced.
I've never been a creator with huge ambitions to work at places like DC, Marvel or Top Cow. I simply wished to create and share stories with the world, to bring smiles, to create art that evokes emotions, inspires others to look around themselves and create too.
Art is for everyone. You just need to take that scary jump, there is a whole array of welcoming communities willing to teach and share. I wouldn't have improved so much without the kindness of the webcomic groups I've discovered and learnt from. Everyone is always learning, and there no shame in not knowing how to do a thing. Even I started with the cheesy how to draw books as a kid and made my own pokemon and digimon.
Don't let the world treat your art as content. It is "ART" as much as what's kept in the louvre is seen as art, so is that little stick man doodle on a postit.
So Try something new, try a new material, a new style.
And support the artists you enjoy, tip their Ko-Fi, pledge to their Patreon, buy a sticker or print. Share their posts and tell them what you love about what they make.
Don't let machines steal away the art in HEART.
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im writing my broad opinion on AI art now that im on an autistic tangent about it. im kinda cooked from yesterday so sorry if i dont make much sense
my issue with (serious) AI art is not because of moral or ethical implications arising from the technology itself, but rather from the general userbase itself. like i believe most of us can fucking tell if something's ai generated when we see it right. Bear in mind i said serious AI art. you know i love a good seinfeld screenshot of jerry and kramer going into the void or george dressed as a cossack
anyways generally speaking the kind of people generating those serious illustrations are all either 1. recycled nftbros 2. porn freaks or 3. children. And im gonna be real i do not like that kind of AI art even if its just a harmless illustration of a pokemon or whatever. to me it feels like those ppl are either kids who i Do Not Think should be on the net, or basement dwelling deviantart incels who are like 'Computer generate sexy gardevoir vore inflation feet pics'. the kind of people who wouldve had no problem stealing others' art. just sayin.
well actually theres a fourth category and those are companies and public institutions that use AI art (often as some sort of money laundering scheme, if i may add) and those are the ones ACTUALLY hurting artists because You See you could be actually hiring someone instead of using fucking midjourney or bing. this is a very common practice here in spain even if it ends up looking like literal shit, see:
also theres this yearly art contest in either valencia or catalunya where ppl submit illustrations of snails and this year's winner was a very blatantly AI generated pic created by some turkish individual who is rumored to not even exist. its a rabbit hole but looking up bedhiran akagündüz (or, likewise, rubén lucas garcía) should set you on the right track
Now let me be clear: i vehemently hate anti-ai luddites and picrew fandomites and ive always been very vocal about this. and quite frankly im tired of the moral panic steeming from anything AI-generated as if it was the antichrist!!!!! you all just sound reactionary as fuck. AI art is certainly not stealing from you and the only exceptions to this rule are very very very blatant copies, and you almost never see those unless were talking about nft-adjacent ponzi scheme websites. would you consider collages theft? music samples? AI just draws "inspiration" (for lack of a better word) from the illustrations that it is fed because its like a tabula rasa and it needs knowledge, just like us human beings are inspired by other people's artstyles. the end product is something that doesnt even look similar to the data it is fed because it is an amalgamation of different styles that create something unique. is that theft? be for fucking real
this stupid myth about the brutal energy consumption of AI art generation as well as the whole ‘did you know that every time you generate one picture youre wasting an entire bottle of water????’ argument... im sorry to say none of that is true. ai isn't even the most water-intensive sector if we're comparing it with other industrial sectors like petroleum/coal factories or wineries or paperboard mills. training datasets IS resource-intensive but its normally a one-time process, inference (which is what you use daily) is not any less efficient than looking something up on google for example:
this whole 'carbon footprint' bullshit that has been sold to us is just a tactic to divert attention from the actual polluters which are corporations like coca-cola or exxon or bp. You know this you get your praxis from this website.
regarding the whole 'AI is theft' argument, im just going to share these tags that someone left in another post i made:
like a clear example of anti-ai panic actively hurting artists is the backlash that okame-p, a vocaloid artist, got for using AI generated illustrations as the ACCOMPANIMENT for his songs:
and to be honest this is a huge problem regarding western vocafans who often have the emotional maturity of a peanut. youre so so so hellbent on demonizing others just for using a technology that is widely available to everyone, that youre willing to throw them under the bus and delegitimize everything they do just because it hurts your feelings well im not going to fucking stay quiet about that
who do you think youre talking to you stupid fucking bitch. god this person makes me so mad.
Anyways my point is: ai is like acupuncture; just like the latter can be used to treat or alleviate different ailments but it cant completely treat cancer like modern medicine would; AI can be complimentary, but it can NEVER replace actual labor. its merely a worktool! its merely meant to automatize daily tasks!!! its not your enemy i promise. Ok im tired of writing goo buh buh
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I know that the average person’s opinion of AI is in a very tumultuous spot right now - partly due to misinformation and misrepresentation of how AI systems actually function, and partly because of the genuine risk of abuse that comes with powerful new technologies being thrust into the public sector before we’ve had a chance to understand the effects; and I’m not necessarily talking about generative AI and data-scraping, although I think that conversation is also important to have right now. Additionally, the blanket term of “AI” is really very insufficient and only vaguely serves to ballpark a topic which includes many diverse areas of research - many of these developments are quite beneficial for human life, such as potentially designing new antibodies or determining where cancer cells originated within a patient that presents complications. When you hear about artificial intelligence, don’t let your mind instantly gravitate towards a specific application or interpretation of the tech - you’ll miss the most important and impactful developments.
Notably, NVIDIA is holding a keynote presentation from March 18-21st to talk about their recent developments in the field of AI - a 16 minute video summarizing the “everything-so-far” detailed in that keynote can be found here - or in the full 2 hour format here. It’s very, very jargon-y, but includes information spanning a wide range of topics: healthcare, human-like robotics, “digital-twin” simulations that mirror real-world physics and allow robots to virtually train to interact and navigate particular environments — these simulated environments are built on a system called the Omniverse, and can also be displayed to Apple Vision Pro, allowing designers to interact and navigate the virtual environments as though standing within them. Notably, they’ve also created a digital sim of our entire planet for the purpose of advanced weather forecasting. It almost feels like the plot of a science-fiction novel, and seems like a great way to get more data pertinent to the effects of global warming.
It was only a few years ago that NVIDIA pivoted from being a “GPU company” to putting a focus on developing AI-forward features and technology. A few very short years; showing accelerating rates of progress. This is whenever we began seeing things like DLSS and ray-tracing/path-tracing make their way onto NVIDIA GPUs; which all use AI-driven features in some form or another. DLSS, or Deep-Learning Super Sampling, is used to generate and interpolate between frames in a game to boost framerate, performance, visual detail, etc - basically, your system only has to actually render a handful of frames and AI generates everything between those traditionally-rendered frames, freeing up resources in your system. Many game developers are making use of DLSS to essentially bypass optimization to an increasing degree; see Remnant II as a great example of this - runs beautifully on a range of machines with DLSS on, but it runs like shit on even the beefiest machines with DLSS off; though there are some wonky cloth physics, clipping issues, and objects or textures “ghosting” whenever you’re not in-motion; all seem to be a side effect of AI-generation as the effect is visible in other games which make use of DLSS or the AMD-equivalent, FSR.
Now, NVIDIA wants to redefine what the average data center consists of internally, showing how Blackwell GPUs can be combined into racks that process information at exascale speeds — which is very, very fucking fast — speeds like that have only ever actually been achieved on some 4 or 5 machines on the planet, and I think they’ve all been quantum-based machines until now; not totally certain. The first exascale computer came into existence in 2022, called Frontier, it was deemed the fastest supercomputer in existence in June 2023 - operating at some 1.19 exaFLOPS. Notably, this computer is around 7,300 sq ft in size; reminding me of the space-race era supercomputers which were entire rooms. NVIDIA’s Blackwell DGX SuperPOD consists of around 576 GPUs and operates at 11.5 exaFLOPS, and is about the size of standard row of server racks - much smaller than an entire room, but still quite large. NVIDIA is also working with AWS to produce Project Ceiba, another supercomputer consisting of some 20,000GPUs, promising 400 exaFLOPS of AI-driven computation - it doesn’t exist yet.
To make my point, things are probably only going to get weirder from here. It may feel somewhat like living in the midst of the Industrial Revolution, only with fewer years in between each new step. Advances in generative-AI are only a very, very small part of that — and many people have already begun to bury their heads in the sand as a response to this emerging technology - citing the death of authenticity and skill among artists who choose to engage with new and emerging means of creation. Interestingly, the Industrial Revolution is what gave birth to modernism, and modern art, as well as photography, and many of the concerns around the quality of art in this coming age-of-AI and in the post-industrial 1800s largely consist of the same talking points — history is a fucking circle, etc — but historians largely agree that the outcome of the Industrial Revolution was remarkably positive for art and culture; even though it took 100 years and a world war for the changes to really become really accepted among the artists of that era. The Industrial Revolution allowed art to become detached from the aristocratic class and indirectly made art accessible for people who weren’t filthy rich or affluent - new technologies and industrialization widened the horizons for new artistic movements and cultural exchanges to occur. It also allowed capitalist exploitation to ingratiate itself into the western model of society and paved the way for destructive levels of globalization, so: win some, lose some.
It isn’t a stretch to think that AI is going to touch upon nearly every existing industry and change it in some significant way, and the events that are happening right now are the basis of those sweeping changes, and it’s all clearly moving very fast - the next level of individual creative freedom is probably only a few years away. I tend to like the idea that it may soon be possible for an individual or small team to create compelling artistic works and experiences without being at the mercy of an idiot investor or a studio or a clump of illiterate shareholders who have no real interest in the development of compelling and engaging art outside of the perceived financial value that it has once it exists.
If you’re of voting age and not paying very much attention to the climate of technology, I really recommend you start keeping an eye on the news for how these advancements are altering existing industries and systems. It’s probably going to affect everyone, and we have the ability to remain uniquely informed about the world through our existing connection with technology; something the last Industrial Revolution did not have the benefit of. If anything, you should be worried about KOSA, a proposed bill you may have heard about which would limit what you can access on the internet under the guise of making the internet more “kid-friendly and safe”, but will more than likely be used to limit what information can be accessed to only pre-approved sources - limiting access to resources for LGBTQ+ and trans youth. It will be hard to stay reliably informed in a world where any system of authority or government gets to spoon-feed you their version of world events.
#I may have to rewrite/reword stuff later - rough line of thinking on display#or add more context idk#misc#long post#technology#AI
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Rajasthan’s Innovation-Driven Growth to a Digitally Empowered Workforce: Col Rajyavardhan Rathore
The Vision for a Digitally Empowered Rajasthan
The goal is clear: make Rajasthan a leader in digital innovation and skill development, ensuring that its workforce is ready for a future dominated by technology. This vision includes:
Modern Infrastructure: Establishing IT hubs, smart cities, and innovation centers.
Skilled Workforce: Upskilling youth with digital tools and technologies.
Startup Ecosystem: Creating an environment conducive to entrepreneurship.
Key Pillars of Rajasthan’s Innovation-Driven Growth
1. Smart Cities and Digital Infrastructure
Rajasthan is focusing on creating smart cities with advanced digital infrastructure, including:
Public Wi-Fi Networks: Ensuring seamless internet access for all.
E-Governance: Digitizing public services for transparency and efficiency.
2. Education and Skill Development
Digital Literacy Programs: Training citizens, especially in rural areas, to use technology effectively.
IT Training Institutes: Partnering with tech companies to offer specialized courses in AI, machine learning, and blockchain.
3. Promoting Startups and Innovation
Rajasthan is becoming a hotspot for startups with initiatives like:
Rajasthan Startup Policy: Providing funding, mentorship, and incubation for startups.
Innovation Hubs: Centers to foster collaboration and creativity among young entrepreneurs.
4. Industry 4.0 Adoption
Industries in Rajasthan are adopting cutting-edge technologies to boost productivity, including:
Automation in Manufacturing: Robotics and IoT to streamline processes.
Agri-Tech Solutions: Drones and AI for smarter farming practices.
Government Initiatives Driving Digital Transformation
1. Rajasthan IT/ITES Policy
Offering tax incentives and subsidies to IT companies.
Promoting investments in software development, BPOs, and data analytics.
2. Digital Rajasthan Mission
Connecting every village with high-speed internet.
Training women and marginalized communities to ensure inclusivity.
3. Rajasthan DigiSkill Program
Focused on creating a digitally literate workforce by 2025.
Courses include coding, app development, and digital marketing.
Impact on Rajasthan’s Workforce
Upskilling for the Future
Rajasthan is preparing its youth for the jobs of tomorrow by:
Integrating coding and STEM education into school curriculums.
Offering scholarships and incentives for IT-related higher education.
Job Creation in Emerging Sectors
IT and software development are generating thousands of jobs.
Growth in startups and innovation hubs is fostering entrepreneurship.
Inclusivity in Digital Growth
Focus on training women and rural communities to bridge the digital divide.
Col Rajyavardhan Rathore’s Role in Digital Transformation
Col Rathore has been a vocal advocate for leveraging technology to empower the people of Rajasthan. His contributions include:
Policy Advocacy: Pushing for policies that prioritize innovation and digital literacy.
Youth Engagement: Encouraging young minds to explore careers in IT and entrepreneurship.
Community Outreach: Promoting the benefits of digital transformation in rural areas.
Success Stories of Digital Rajasthan
1. Bhamashah Yojana
One of the first initiatives to leverage digital platforms for direct benefit transfers, empowering women and ensuring financial inclusivity.
2. Rajasthan Sampark
A citizen grievance redressal system that ensures transparency and accountability through digital means.
3. RajNET
A unified network connecting the state’s administrative and public service systems with high-speed internet.
Challenges and Solutions
Challenges
Digital Divide: Ensuring access to technology in remote areas.
Skilled Workforce Shortage: Meeting the demand for advanced IT skills.
Infrastructure Gaps: Lack of high-speed internet in some regions.
Solutions
Targeted Programs: Focused digital literacy drives in rural areas.
Public-Private Partnerships: Collaborations with tech giants to set up training centers.
Expanding Connectivity: Investments in fiber optics and satellite internet.
The Road Ahead: A Digital Rajasthan
Rajasthan is on the cusp of a digital revolution. With continued focus on innovation, skill development, and inclusive growth, the state is poised to become a beacon of digital excellence in India. Visionaries like Col Rajyavardhan Rathore are ensuring that this transformation benefits every citizen, bridging gaps and unlocking new opportunities.
As Rajasthan strides forward, it not only redefines its identity but also sets an example for other states to emulate.
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OpenAI launches Sora: AI video generator now public
New Post has been published on https://thedigitalinsider.com/openai-launches-sora-ai-video-generator-now-public/
OpenAI launches Sora: AI video generator now public
OpenAI has made its artificial intelligence video generator, Sora, available to the general public in the US, following an initial limited release to certain artists, filmmakers, and safety testers.
Introduced in February, the tool faced overwhelming demand on its launch day, temporarily halting new sign-ups due to high website traffic.
youtube
Changing video creation with text-to-video creation
The text-to-video generator enables the creation of video clips from written prompts. OpenAI’s website showcases an example: a serene depiction of woolly mammoths traversing a desert landscape.
In a recent blog post, OpenAI expressed its aspiration for Sora to foster innovative creativity and narrative expansion through advanced video storytelling.
The company, also behind the widely used ChatGPT, continues to expand its repertoire in generative AI, including voice cloning and integrating its image generator, Dall-E, with ChatGPT.
Supported by Microsoft, OpenAI is now a leading force in the AI sector, with a valuation nearing $160 billion.
Before public access, technology reviewer Marques Brownlee previewed Sora, finding it simultaneously unsettling and impressive. He noted particular prowess in rendering landscapes despite some inaccuracies in physical representation. Early access filmmakers reported occasional odd visual errors.
What you can expect with Sora
Output options. Generate videos up to 20 seconds long in various aspect ratios. The new ‘Turbo’ model speeds up generation times significantly.
Web platform. Organize and view your creations, explore prompts from other users, and discover featured content for inspiration.
Creative tools. Leverage advanced tools like Remix for scene editing, Storyboard for stitching multiple outputs, Blend, Loop, and Style presets to enhance your creations.
Availability. Sora is now accessible to ChatGPT subscribers. For $200/month, the Pro plan unlocks unlimited generations, higher resolution outputs, and watermark removal.
Content restrictions. OpenAI is limiting uploads involving real people, minors, or copyrighted materials. Initially, only a select group of users will have permission to upload real people as input.
Territorial rollout. Due to regulatory concerns, the rollout will exclude the EU, UK, and other specific regions.
Navigating regulations and controversies
It maintains restricted access in those regions as OpenAI navigates regulatory landscapes, including the UK’s Online Safety Act, the EU’s Digital Services Act, and GDPR.
Controversies have also surfaced, such as a temporary shutdown caused by artists exploiting a loophole to protest against potential negative impacts on their professions. These artists accused OpenAI of glossing over these concerns by leveraging their creativity to enhance the product’s image.
Despite advancements, generative AI technologies like Sora are susceptible to generating erroneous or plagiarized content. This has raised alarms about potential misuse for creating deceptive media, including deepfakes.
OpenAI has committed to taking precautions with Sora, including restrictions on depicting specific individuals and explicit content. These measures aim to mitigate misuse while providing access to subscribers in the US and several other countries, excluding the UK and Europe.
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Stanford University A Pillar of Excellence
Stanford University, located in the heart of Silicon Valley, California, is synonymous with instructional excellence, groundbreaking studies, and international impact. As one of the world’s leading establishments, its "outcomes" span various dimensions—instructional achievements, research breakthroughs, societal contributions, and pupil effects. This article delves into the multifaceted outcomes that outline Stanford's unprecedented popularity.
Stanford University Result
Academic Achievements
Stanford continually ranks among the pinnacle universities globally. In the latest rankings with the aid of institutions like QS World University Rankings and Times Higher Education (THE), Stanford has secured pinnacle positions for its academic excellence, innovation, and studies contributions. Notably, Stanford excels in fields such as pc technological know-how, engineering, commercial enterprise, law, and remedy. These results testify to the university’s dedication to fostering highbrow growth and pushing the boundaries of understanding.
Notable Programs
Graduate School of Business: Stanford GSB is renowned for generating leaders in international industries. MBA graduates constantly file for excessive starting salaries and professional delight, reflecting the college’s rigorous curriculum and strong alumni community.
School of Engineering: Often taken into consideration as the backbone of Silicon Valley, Stanford’s engineering programs make contributions notably to technological advancements. Fields like artificial intelligence, bioengineering, and sustainable electricity are key focus areas.
School of Medicine: Stanford Medicine is diagnosed for its modern studies and healthcare innovations, such as contributions to cancer remedies, genomics, and vaccine development.
Results in Rankings
QS Rankings 2024: Stanford is ranked #three globally, highlighting its studies output, educational effect, and agency popularity.
THE Impact Rankings: Stanford ranks the various pinnacle 10 universities for its contributions to the United Nations’ Sustainable Development Goals (SDGs), including great schooling, climate movement, and enterprise innovation.
Research Breakthroughs
Stanford’s reputation as a studies powerhouse is unrivaled. Every 12 months, the university secures billions in study funding from government agencies, private corporations, and philanthropic donors. The effects of this investment take place in improvements that shape industries and enhance lives.
Key Areas of Impact
Artificial Intelligence (AI) and Machine Learning: Stanford researchers have pioneered AI technologies that affect sectors like healthcare, finance, and self-sufficient systems.
Biotechnology: Discoveries in gene modifying, CRISPR generation, and customized remedy underscore Stanford’s role in advancing lifestyles sciences.
Climate and Sustainability: The college’s Stanford Doerr School of Sustainability drives studies in renewable electricity, climate alternate mitigation, and conservation efforts.
Metrics of Success
Research Funding: In 2023, Stanford acquired over $1.Ninety-three billion in subsidized studies investment.
Publications and Citations: Stanford scholars post drastically in high-impact journals, with research mentioned hundreds of thousands of times globally.
Nobel Laureates: Over 20 faculty individuals and alumni have been awarded Nobel Prizes, reflecting the groundbreaking nature of their work.
Entrepreneurial Success
Stanford's entrepreneurial atmosphere is considered one of its maximum amazing outcomes. As the birthplace of companies like Google, Apple, and Tesla, the university fosters a spirit of innovation that extends a long way beyond its campus. Programs just like the Stanford Entrepreneurship Network and access to resources in Silicon Valley offer students and schools unheard-of opportunities to release ventures.
Entrepreneurial Metrics
Startups Founded by Way of Alumni: Over 39,000 agencies had been started out by using Stanford alumni, generating trillions in annual revenue.
Venture Capital Funding: Stanford-affiliated startups entice sizable assignment capital investments, with the college constantly rating as a pinnacle manufacturer of funded marketers.
Economic Impact: Companies founded by Stanford graduates collectively hire hundreds of thousands of human beings internationally, making widespread contributions to the global economy.
Student Success and Satisfaction
The results of Stanford’s educational philosophy are glaring within the achievements of its students and alumni. The college offers a rigorous yet supportive environment that encourages creativity, critical questioning, and interdisciplinary collaboration.
Key Outcomes
Graduation Rates: Stanford boasts a 94% graduation rate, one of the maximum amongst U.S. Universities.
Post-Graduation Employment: A marvelous 91% of graduates steady employment or pursue advanced studies within six months of commencement.
Alumni Impact: Stanford alumni encompass Fortune 500 CEOs, influential policymakers, award-triumphing artists, and leaders in nonprofit sectors.
Enhancing Student Experience
Diversity and Inclusion: Stanford is devoted to constructing a various scholar body, with over 45% of college students figuring out as minorities.
Scholarships and Financial Aid: The college offers a need-primarily based resource to over 70% of students, ensuring get right of entry schooling for talented individuals no matter their economic historical past.
Global Opportunities: Programs just like the Bing Overseas Studies Program permit students to gain global exposure, getting ready them for international careers.
Contributions to Society
Stanford’s impact extends beyond academia and enterprise; its results resonate globally via tasks aimed at addressing societal challenges.
Social and Environmental Impact
Sustainability Efforts: Stanford’s campus is a model of sustainable layout, presenting initiatives to reduce carbon emissions, conserve water, and sell green power.
Public Policy Influence: Stanford’s Hoover Institution and Freeman Spogli Institute for International Studies produce studies that shape public policy on problems like cybersecurity, global health, and governance.
Community Engagement: Through carrier-learning programs and volunteer tasks, Stanford college students contribute lots of hours annually to local and worldwide groups.
Measuring Broader Impact
SDG Contributions: Stanford ranks exceedingly in metrics related to health, training, and innovation, reflecting its alignment with global desires.
Partnerships and Collaborations: The university collaborates with companies like the World Health Organization (WHO), the United Nations (UN), and main nonprofits to cope with urgent international demands.
Challenges and Areas for Growth
While Stanford’s results are overwhelmingly wonderful, the university acknowledges demanding situations and areas for improvement. These include:
Affordability and Accessibility: Despite its beneficent economic aid packages, Stanford faces complaints for its excessive training charges.
Mental Health Resources: As with many elite establishments, the pressures of educational existence can affect scholar well-being, prompting calls for more desirable support offerings.
Sustainability Goals: While Stanford leads in sustainability, reaching carbon neutrality via 2050 stays a protracted-time period venture.
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