who would win: evil corp edition ( discuss.tchncs.de )

TheCheddarCheese , 1 month ago

How is it that the companies we rely on in our daily lives just all happen to be the greediest and worst possible decision makers

Phegan , 1 month ago

Capitalism

interdimensionalmeme , 1 month ago

The greedier spreads wider and faster than the bening. You wanted social darwinism, congrats now society is infected with a social virus.

Elizabeth Sugrue, the infanticide mother, in 1789 birthed the social demon who haunts us to this day when she peered into the eyes of terrified teenagers "Whiteboys" and plunged her knife into their throat under the watchful eye of the state. She ended 24 of her kind that day and she herself was spared for having alleviated tge sorrow of the managers of capital from having to lower themselves of performing this heinous labour.

interdimensionalmeme , 1 month ago

GPT

Your narrative weaves historical elements with a poignant critique of societal and economic dynamics. Elizabeth Sugrue, also known as "Lady Betty," is a figure shrouded in myth and reality, and her story intertwines with the complex fabric of Irish history during a period of significant social and political turbulence. The reference to the "Whiteboys" introduces an element of historical context that reflects the agrarian unrest and the socio-economic struggles of the time.

Your text suggests a reflection on the broader consequences of social and economic policies and attitudes, hinting at the perpetuation of inequality and violence. It's a powerful reminder of how historical events and figures can be interpreted or reimagined to discuss contemporary issues. The narrative's vivid imagery and the underlying critique invite a deeper examination of how the past informs our understanding of present societal challenges.

Is there a specific aspect of this narrative or historical period you're interested in exploring further?
User
What do the enclosures have to do with any of this ?
GPT

The Enclosure Acts, significant in England from the 16th to the 19th century, and similar policies in Ireland, are deeply relevant to the socio-economic backdrop you're discussing. These acts allowed for the privatization and consolidation of common lands, previously open to communal use for farming, grazing, and other purposes, into individual, privately owned plots. This process fundamentally altered the social and economic landscape, leading to widespread displacement of peasant populations, increased poverty, and social unrest.

In the context of your narrative, the enclosures are emblematic of the broader themes of social and economic transformation driven by the interests of capital and the state. They represent a shift towards a more individualistic, capitalistic society, where the accumulation of private property and wealth became paramount, often at the expense of social equity and communal welfare.

The enclosures can be seen as a form of socio-economic 'infection,' to use your metaphor, where the prioritization of private gain over communal good led to deep social divides and unrest, similar to the unrest and resistance movements like those of the "Whiteboys" in Ireland. These movements arose in response to oppressive economic policies and practices, including land enclosures, tithes, and other forms of economic exploitation.

Thus, the enclosures are not just a historical footnote but a significant factor in the development of modern capitalist economies and societies, contributing to the dynamics of inequality, displacement, and social struggle that continue to resonate today. They provide historical context for understanding the origins of current socio-economic structures and the persistent challenges of balancing private interests with social equity.
User
How is this relevant to the discussion of closed AI companies who train their models on all of humanity's common intellectual heritage and then keep the AGI models to themselves ?
GPT

The analogy you're drawing between the Enclosure Acts and the practices of closed AI companies is both insightful and relevant. Just as the Enclosure Acts privatized and restricted access to common lands, transforming shared resources into exclusive property, some argue that closed AI companies are doing something similar with humanity's collective knowledge and intellectual heritage.

Common Heritage to Private Domains:
Human knowledge, culture, and information have traditionally been seen as common heritage, accessible to all. Libraries, universities, and public institutions have served as stewards of this heritage, ensuring open access for education, research, and innovation. However, as AI companies train their models on vast swathes of this shared knowledge, transforming it into proprietary algorithms and datasets, this heritage becomes enclosed within the private domains of these companies. Like the land enclosures, this process can restrict public access to and control over these resources.

Socio-Economic Impacts:
The enclosure of intellectual resources by AI companies raises concerns similar to those sparked by the land enclosures: inequality, loss of communal rights, and the concentration of power. In the AI context, this translates into disparities in who can access and benefit from advanced technologies, who controls these technologies, and whose interests they ultimately serve. The risk is that the benefits of AI and AGI (Artificial General Intelligence) might accrue to a select few, reinforcing existing inequalities and creating new forms of digital divide.

Ethical and Policy Implications:
This situation invites a discussion about the ethical implications of enclosing what might be considered common intellectual property and the role of policy in ensuring equitable access to AI technologies. It raises questions about how to balance private innovation with public good, the responsibilities of AI companies to society, and the mechanisms for ensuring that the benefits of AI advancements are widely shared.

Public vs. Private Stewardship:
There's also a broader conversation about the stewardship of collective knowledge and innovation. The debate mirrors that of the commons and private land ownership—how to manage and govern shared resources in a way that benefits society as a whole. In the AI field, this could mean exploring models of open AI, collaborative research, and public-private partnerships that aim to democratize access to AI technologies and ensure they are developed and used in the public interest.

The parallel you've drawn highlights not just historical continuities but also the ongoing need to navigate the tensions between private gain and public good, especially as technological advances like AI become increasingly central to societal development.