Paul Haeder, Author

the will jump with LGBTQA+ Joy While Sucking that Little Dick at Mar-a-Lago . . . Money for SOMETHING!

SO WHAT is the great Marshall Plan to marshal the forces of humanity to put a stop to vicious and rampant and predatory and polluting and toxifying CAPITALISM. Microplastics?

If you eat fish or any kind of seafood, you are likely eating microplastics

Tiny microplastic particles that shed from everyday products like clothing, packaging, and other plastics are ending up in the fish people eat, according to new research conducted by Portland State University (PSU).

Or, where oh where are those forces of justice, with the Epstein Fuck doing more Fuckery?

Prince Andrew has been reported to the police and accused of using a fake name to register a company, The Post has learned.

The disgraced Duke of York, 64, used the pseudonym Andrew Inverness in 2003 when he joined forces with sports retail tycoon Johan Eliasch to set up a company called Naples Gold Limited.

Andrew, who owned four companies that were linked to those registered at Companies House, the UK’s public registry of companies, under the name, was described as a “consultant” on official forms, docs obtained by The Post show.

Is it lithium or palm oil or just plain cow shit that will do us in?

[Above is a picture of a lithium leach field. This is what your EV batteries are made of. It is so neuro-toxic that a bird landing on this stuff dies in minutes. Take a guess what it does to your nervous system? Pat yourself on the back for saving the environment.]

[How palm oil cultivation in Borneo is threatening the ecosystem everywhere.]

Shit and piss and vomit and miscarriages:

AmeriKKKa? Fucking EuroTrashLandia? Nope.

“The Bolivarian Republic of Venezuela expresses its deepest solidarity with the People’s Republic of China, the people of the Xizang Autonomous Region and President Xi Jinping, following the devastating 6.8 magnitude earthquake that occurred in Tsogo Township, Dingri County,” he said.

“Venezuela, a timeless and unwavering strategic partner of the People’s Republic of China, stands by the Chinese people and extends its willingness to cooperate and provide support in the areas that are necessary at this difficult time,” Gil added.

The epicenter of the quake was located at a depth of 10 kilometers, according to the China Earthquake Networks Center. Tremors were also felt in neighboring Nepal and India. So far, Chinese authorities have recorded 95 dead and 130 injured. Rescue operations in the affected area are still underway.

On Tuesday, Nicaraguan President Daniel Ortega also sent a message to Chinese President Xi Jinping to express his nation’s solidarity in the face of the human losses caused by the earthquake.

“With all the love and solidarity of our people to your people, and in particular to the families affected by the earthquake, we send to you and to the brothers and sisters of the city of Shigatsu, Autonomous Region of Xizang, our heartfelt condolences and prayers,” he said.

“From our blessed and always free Nicaragua, receive with this message the certainty of our fraternal accompaniment. We fully trust in the Party and its government to quickly recover normality in the daily life of the brothers of Shigatsu,” the Sandinist leader added.

How many fucking fools on Substack think the AmeriKKKan empire is in its death throes? Jesus Fucking Century of the Fucked Up Jew tells another story:

The illusion of American imperial decline lies shattered amidst the rubble of Syrian cities and the smoldering ruins of Gaza. As human rights advocate Dan Kovalik grimly observes, what we’re witnessing isn’t the death throes of an empire, but rather its devastating demonstration of still-formidable power to crush resistance and reshape regional realities at will.

And those fucking Jewish Community Standards (sic).

“This is not just an Israeli genocide – this is an Israeli, European and US genocide!” Vijay Prashad exposes the moral decline of the global north in the age of hyper-Imperialism and its continued war against “defiance” found in the global south.

It is Jewish Run, Vijay.

IDF? Fuck, Israeli Occupation Forces, Felons, and calling them soldiers, sure, fucking murdering mercenatires. “Israeli soldiers from the Givati Brigade celebrate the New Year in a scene that includes dozens of Palestinians abused and abducted from Jabalia.”

“Between the Sword and the Neck” Educator and editor Hazem Jamjoum offers a fresh reading of the work of Ghassan Kanafani amid Israel’s ongoing genocide on Palestinians in Gaza.

Ghassan Kanafani (1936-1972) is widely known as one of the great Arab novelists of the 20th century. His ability to use simple, almost mundane stories to speak to the human experience of colonialism and freedom in novels like ‘Men in the Sun’ and ‘Returning to Haifa’ continue to teach those who read them.

But Kanafani was more than a novelist, he was also a key political thinker, strategist and revolutionary whose analysis of Zionism and imperialism continues to inform and shape anti-colonial thought across the globe today.

Hazem Jamjoum is a Palestinian educator and an editor with the recently-established publishing house Maqam Editions. His translation of Ghassan Kanafani’s The Revolution of 1936-1939 in Palestine was published by 1804 Press in 2023, and his translation of Maya Abu al-Hayyat’s No One Knows their Blood Type was released by the CSU Poetry Center in October 2024.

Ahmed Alnaouq is a Palestinian journalist from Gaza.

And the shelves are full, even fuller than this.

And in AmeriKKKa, the disabilities you get are no slam dunk in this casino, usury, predatory rich man’s capitalism.

231. That magic number.

More than 231 days for the US Social Security Officers to review a disability case. Average wait time on the phone … 149 minutes. 5 minutes of fucking announcements. Repeating repeating repeating, and still no live or living awake person on the other end of the phone.

“We’re going to get back to our roots and focus on restoring free expression,” Zuckerberg said, with a tone of earnestness that invites both hope and skepticism.

After years of fumbling content moderation, alienating users, and infuriating people worldwide, Jew– Meta is desperate to rebrand. But beneath the veneer of “reform,” it will likely be hard for many to shake the feeling that this is just another well-polished PR maneuver.

Meta’s fact-checking program, introduced in the wake of the 2016 election to combat misinformation, became a lightning rod for criticism. The idea was simple: enlist third-party experts to separate fact from fiction. The execution? Well, let’s just say it left a lot to be desired.

As Jew-Joel Kaplan, Meta’s Chief Global Affairs Officer, helpfully admitted on Fox & Friends—because of course, where else would you announce this?—the fact-checking initiative had spiraled into a partisan minefield.

“There is too much political bias in what they choose to fact-check because, basically, they get to fact-check whatever they see on the platform,” Kaplan explained, with a straight face, as though Meta was a hapless bystander in the system it designed.

Kaplan was born in Weston, Massachusetts, the third child of an attorney and a college administrator.^[10] He earned a Bachelor of Arts from Harvard University in 1991 during which time he was active student democrat and also briefly dated his future colleague at Facebook, Sheryl Sandberg. According to a friend of Kaplan’s at Harvard, his political views shifted because of campus demonstrations opposing the U.S. invasion of Kuwait during the Gulf War.^[10]

After college, he served as an Artillery Officer in the United States Marine Corps for four years. He then earned a Juris Doctor from Harvard Law School in 1998. After law school, he clerked for Supreme Court Justice Antonin Scalia and Fourth Circuit Court of Appeals Judge J. Michael Luttig.^[4]

Kaplan was an active conservative Democrat during the early-1990s.^[11] He registered as a Republican in the late-1990s.^[12] He is Jewish.

Is TikTok’s Time Up? Will the Supreme Court Strike Down Free Speech to Spite China?

Now?

• Resisting Ai: An Anti- fascist Approach to Artificial Intelligence
• Copyright information
• Dedication
• Table of contents
• Acknowledgments
• Introduction
• What is Ai
• Resisting AI
• Anti-fascist approach
• From machine learning to mutual aid
• 1 Operations of AI
• Machine learning
• Data
• Optimization
• Neural networks
• Transformations
• Backpropagation
• Infrastructure
• Crowdsourcing
• 2 Collateral Damage
• Brittleness
• Fixes
• Injustice
• Solutionism
• 3 AI Violence
• Scientism
• Precarity
• Speculation
• System risk
• Administrative violence
• Racialization
• Genetic determinism
• Race science
• 4 Necropolitics
• Scarcity
• States of exception
• Carceral state
• Necropolitics
• Eugenics
• Fascism
• Climate crisis
• 5 Post-machinic Learning
• Feminist science
• Post-normal Ai
• New materialism
• Post-machinic learning
• Matters of care
• 6 People’s Councils
• Solidarity
• Workers’ councils
• People’s councils
• Luddism
• Anti-fascism
• 7 Anti-fascist AI
• Anti-fascist AI
• Structural renewal
• Commoning
• A new apparatus

Big Mother Fucking STICKS.

We come to bury ChatGPT, not to praise it. 06 February 2023

Dan McQuillan

Large language models (LLMs) like the GPT family learn the statistical structure of language by optimising their ability to predict missing words in sentences (as in ‘The cat sat on the [BLANK]’). Despite the impressive technical ju-jitsu of transformer models and the billions of parameters they learn, it’s still a computational guessing game. ChatGPT is, in technical terms, a ‘bullshit generator’. If a generated sentence makes sense to you, the reader, it means the mathematical model has made sufficiently good guess to pass your sense-making filter. The language model has no idea what it’s talking about because it has no idea about anything at all. It’s more of a bullshitter than the most egregious egoist you’ll ever meet, producing baseless assertions with unfailing confidence because that’s what it’s designed to do. It’s a bonus for the parent corporation when journalists and academics respond by generating acres of breathless coverage, which works as PR even when expressing concerns about the end of human creativity.

Unsuspecting users who’ve been conditioned on Siri and Alexa assume that the smooth talking ChatGPT is somehow tapping into reliable sources of knowledge, but it can only draw on the (admittedly vast) proportion of the internet it ingested at training time. Try asking Google’s BERT model about Covid or ChatGPT about the latest Russian attacks on Ukraine. Ironically, these models are unable to cite their own sources, even in instances where it’s obvious they’re plagiarising their training data. The nature of ChatGPT as a bullshit generator makes it harmful, and it becomes more harmful the more optimised it becomes. If it produces plausible articles or computer code it means the inevitable hallucinations are becoming harder to spot. If a language model suckers us into trusting it then it has succeeded in becoming the industry’s holy grail of ‘trustworthy AI’; the problem is, trusting any form of machine learning is what leads to a single mother having their front door kicked open by social security officials because a predictive algorithm has fingered them as a probable fraudster, alongside many other instances of algorithmic violence.

Of course, the makers of GPT learned by experience that an untended LLM will tend to spew Islamophobia or other hatespeech in addition to talking nonsense. The technical addition in ChatGPT is known as Reinforcement Learning from Human Feedback (RHLF). While the whole point of an LLM is that the training data set is too huge for human labelling, a small subset of curated data is used to build a monitoring system which attempts to constrain output against criteria for relevance and non-toxicity. It can’t change the fact that the underlying language patterns were learned from the raw internet, including all the ravings and conspiracy theories. While RLHF makes for a better brand of bullshit, it doesn’t take too much ingenuity in user prompting to reveal the bile that can lie beneath. The more plausible ChatGPT becomes, the more it recapitulates the pseudo-authoritative rationalisations of race science. It also shows that despite the boast that LLMs are largely self-training, any real world system will require precaritised ‘ghost work’ to maintain its plausibility. It turns out that AI is not sci-fi but a techologised intensification of existing relations of labour and power. The $2/hour paid to outsourced workers in Kenya so they could be “tortured” by having to tag obscene material for removal is figurative of the invisible and gendered labour of care that always already holds up our existing systems of business and government.

As with the rest of AI, the dangers of ChatGPT go far deeper than bias and discrimination. Despite evidence that the model’s powers of ‘reasoning’ are shallow heuristics based on the frequency of associations in the training data (meaning, as an illustrative example, that it’s good at answering ‘What is 24 x 18?’ and poor at answering ‘What is 23 x 18?’) there are many in the AI community who insist on imputing emergent properties of reasoning and insight to ChatGPT. Its parent company, OpenAI, was set up “to ensure that artificial general intelligence benefits all of humanity”, where ‘artificial general intelligence’ (AGI) is the insider term used for human-like intelligence that goes beyond narrow AI like facial recognition or self-driving cars. However, as I spell out in my book, the concept of AGI is inseparable from the kind of hierarchy of intelligence that has underpinned ideas of innate supremacy since the days of empire and colonialism. Hardly surprising, then, that the same Silicon Valley cultures that incubate enthusiasm for ChatGPT as emergent AGI also show allegiance to associated world views like Long Termism, where the immediate vulnerability of millions of ordinary people counts as nothing in relation to the prospects of a future space-faring super race.

In the mean time, OpenAI is acquiring billions of dollars of investment on the back of the ChatGPT hype. The point here is not only the pocketing of a pyramid-scale payoff but the reasons why institutions and governments are prepared to invest so much in these technologies. For these players, the seductive vision isn’t real AI (whatever that is) but technologies that are good enough to replace human workers or, more importantly, to precaritise them and undermine them. ChatGPT isn’t really new but simply an iteration of the class war that’s been waged since the start of the industrial revolution. That allegedly well-informed commentators can infer that ChatGPT will be used for “cutting staff workloads” rather than for further staff cuts illustrates a general failure to understand AI as a political project. Contemporary AI, as I argue in my book, is an assemblage for automatising administrative violence and amplifying austerity. ChatGPT is a part of a reality distortion field that obscures the underlying extractivism and diverts us into asking the wrong questions and worrying about the wrong things. Instead of expressing wonder, we should be asking whether it’s justifiable to burn energy at “eye watering” rates to power the world’s largest bullshit machine.

Commentary that claims ‘ChatGPT is here to stay and we just need to learn to live with it’ are embracing the hopelessness of what I call ‘AI Realism’. The compulsion to show ‘balance’ by always referring to AI’s alleged potential for good should be dropped by acknowledging that the social benefits are still speculative while the harms have been empirically demonstrated. Saying, as the OpenAI CEO does, that we are all ‘stochastic parrots’ like large language models, statistical generators of learned patterns that express nothing deeper, is a form of nihilism. Of course, the elites don’t apply that to themselves, just to the rest of us. The structural injustices and supremacist perspectives layered into AI put it firmly on the path of eugenicist solutions to social problems.

Instead of reactionary solutionism, let us ask where the technologies are that people really need. Let us reclaim the idea of socially useful production, of technological developments that start from community needs. The post-Covid ‘new normal’ has turned out to involve both the normalisation of neural networks and a rise in necropolitics. Transformer models and diffusion models are not creative but carceral – they and other forms of AI imprison our ability to imagine real alternatives. It’s not so long ago that we all woke up to the identity of truly essential workers; the people carrying out the precaritised roles of nursing, teaching, caring, delivering and cleaning, the very professions who are being forced to reinvent the idea of the general strike simply to regain the conditions for survival. Instead of being complicit with expensive toys running in carbon emitting data centres, we can focus instead on centring activities of care. As discussed in more detail in ‘Resisting AI’, a refusal of algorithmic immiseration goes along with a positive search for alternatives, and I lay out a programme of people’s councils and commons-based solidarity to do just that. It’s not time to chat with AI, but to resist it.