
u/Great-Gardian

AI researchers, activists and policymakers are targeted by Big Tech billionaires
Open Philanthropy (rebranded as Coefficient Giving) is financed primarily by billionaire Facebook co-founder and Asana CEO Dustin Moskovitz.
In 2016, OpenAI CEO Sam Altman led a $50 million venture-capital investment in Asana, a software company founded and led by Moskovitz. In 2017, Moskovitz’s Open Philanthropy provided a $30 million grant to OpenAI. Asana and OpenAI also share a board member in Adam D’Angelo, a former Facebook executive. Source: https://www.politico.com/news/2023/10/13/open-philanthropy-funding-ai-policy-00121362
Moskovitz’s Open Philanthropy is the largest donor to an entire ecosystem of organizations lobbying for "AI safety". Source: https://www.aipanic.news/p/the-ai-existential-risk-industrial
The "AI safety" ecosystem encompasses hundreds of organizations. Many advocate extreme authoritarian measures to stop/pause AI. They include “requiring registration and verifying location of hardware,” “a strict licensing regime, clamp down on open-source models, and impose civil and criminal liability on developers.”
These regulations are pushed as solutions to the problem of AI doomerism. AI doomerism is the narrative around AI and its "dangerous civilization-ending effect". This narrative is amplified by the network of "AI safety" and funded by tech billionaires influenced by the Effective Altruism ideology.
Effective Altruism is one popular ideology among the rich. You can learn more on that here: https://www.truthdig.com/articles/the-acronym-behind-our-wildest-ai-dreams-and-nightmares/
It is clear the Big Tech billionaires want global surveillance of the AI industry and "AI safety" is a costume to trick everyone.
AI environmental apocalypse is a distraction against us
I want to start by saying that AI does raise serious environmental questions. But the environmental apocalyptic narrative I see around the internet on AI is being used to distract from the real questions on AI and ecology.
The largest environmental pressure today is not AI. The damages come from fossil fuel combustion, agriculture and livestock, deforestation, transportation and heavy industry like mining. Global aviation emits far more CO₂ than AI today, 614 000 000 tons in 2024, versus 180 000 000 tons for all data centers, not limited to AI use, (https://www.worldometers.info/co2-emissions/) (https://www.iea.org/reports/energy-and-ai/ai-and-climate-change). Agriculture uses vastly more land and water than data centers, 4.8 billion hectares globally in 2023, vs 162 000 hectares, converted from 400 000 acres globally in 2025, (https://ourworldindata.org/land-use) (https://www.techtarget.com/searchdatacenter/feature/The-increasing-concern-of-data-center-land-acquisition). 2 quadrillion gallons of water is used per year for agriculture in the world, versus between 312.5 and 764.6 billion liters of water for AI in 2025 (1 gallon is 3.785 liters). (https://htt.io/learning-center/water-usage-in-the-agricultural-industry) (https://factually.co/fact-checks/technology/did-ai-use-more-water-than-all-bottling-companies-combined-c8c14d)
If you are concerned about the environment, describing AI as the ultimate villain is not the way to solve anything.
If you are concerned about AI development, the ecological aspect of AI is not the ultimate reason to stop and destroy technological progress.
The disater narrative on AI is producing fear and anger that don't help us to analyse and change the situation. Popular AI narrative should talk more about democratic ownership of the infrastructure. How can we build AI systems that benefits everyone and not just a class of a rich elite.
It is intriguing to me that some progressive people are pushing for data centers moratoriums because of ecological concerns, when the largest part of already existing data centers are owned by private companies. I think these companies would be very excited to learn that no new competitors can build in their market, for example no new projects of public AI infrastructures.
I'm concerned about technophobia rising in leftism. Strong technophobic opinions usually share absolutist generalization like "this technology is inherently harmful and should be rejected entirely." I often see this type of opinion on AI.
Strong technophobia is a problem because it increases inequality. Let's compare a group who use AI with a technophobic group.
Over time, the AI group will process more information faster, compare options more effectively, make more data-informed decision, get comfortable with AI-assisted learning, research, and problem-solving. Workers will be more productive and will gain more opportunities to be hired or promoted than the technophobics.
The technophobic group will be less productive because of their lower technology adoption. Less opportunities will present to them because of their reduced productivity. Access to adopt technology will be limited because of less opportunities.
This is an exemple of economic inequality widening, but I also think political awareness will be amplified for the AI group, and reduced for the technophobic group because of how informations is faster and diversified with new technologies. Examples, Internet is faster and more diversified than television. AI can compare more information and faster than me manually searching Internet.
This isn't saying AI and new technologies are perfect. We should be skeptical of them with nuances, and not with radical technophobia. Leftism is about progress for a better world, and technology can help us do that.
I want to look at incentives States have to regulate and redistribute AI's benefits.
First, the incentives to regulate and redistribute. If AI leads to large-scale job displacement or inequality, governments will face unemployment spikes, political unrest and loss of trust in institutions. Redistribution here can act as a stabilizer. States may regulate AI to avoid overdependence on foreign tech giants to build domestic capacity.
Second, why States would not act. Large tech firms have significant influence through lobbying, campaign financing and partnerships with governments. States worry that too much regulation and taxation result in capital flight.
How do you think the States will respond to this contradiction?
>Build American AI, a nonprofit linked to a super PAC bankrolled by executives at OpenAI and Andreessen Horowitz, is funding a campaign to spread pro-AI messaging and stoke fears about China.
So Local LLM is important .... always! Need to support who giving us more Open source & weights. Last month, Half of the open models came from there only.
The idea that automation will naturally free people from work sounds intuitive, but history doesn’t really support it.
Since the Industrial Revolution, productivity has skyrocketed. A worker today produces far more than one 100 years ago. Yet most people still work full-time. Unless something intervenes, like labor laws, unions, or redistribution, automation tends to concentrate wealth and power, not spread leisure.
Historically, reductions in working hours came from pressure, not technology alone. Whether that happens with AI is a political and economic choice, not a technological inevitability.
So how can we organize pressure? How to turn concerns into coordinated leverage?