







Social media democratised public opinion, shifting influence away from elites and experts to ordinary people. LLMs will partly reverse this trend. They are a powerful, new technocratising force.
Lincoln Michel on Twitter / X
This was my read on AI from the beginning and it proved very true. Whatever hypothetical benefits LLMs have (and they have some), their main use is to waste everyone's time wading through slop. Longer colleague powerpoints. More spam emails. More slop clogging up all the systems. https://t.co/2gtGfqf7KF— Lincoln Michel (@TheLincoln) September 21, 2026
Social media is populist and polarising; AI may be the opposite
Large language models elevate expert consensus and moderate views, in sharp contrast to social platforms

AI Large Language Model Training: The Potential Risks of Ideological Skewing — PSG Consulting
LLMs (AI Large Language Models) have become part of everyday life. Systems such as ChatGPT, Claude, Gemini, Meta AI (Llama) and X.ai's Grok handle billions of interactions daily. They increasingly shape what information people encounter and in what order, subtly deciding what's important and even what is true, sometimes without users realizing it. Because LLMs wield growing power over information exposure, it is vital to recognize the political and ideological structures at multiple stages of their design, and to identify manipulation risks.

Have we been measuring AI political bias wrong? A better approach is possible.
Why ideological preferences and epistemic failure in LLMs are not the same thing — and why the difference matters

Your Online Public Engagement is Under Attack from AI
In Los Angeles and elsewhere, AI agents are diluting communities' voices and influencing how decision-makers vote.

ImportAI 449: LLMs training other LLMs; 72B distributed training run; computer vision is harder than generative text
Will AI cause a political interregnum

How Do We Talk about LLMs?
By Jim Clifford It is never fun to watch friends argue. Generative AI has created multiple fractures across our universities and the community of historians. The stakes are high and we are all deal…


Are LLMs Stifling Political Speech? An Assessment of How AI Models Protect Free Expression | Oversight Board
The Oversight Board’s first evaluation of large language models (LLMs) shows that some of the world’s most-used models from Anthropic, DeepSeek, Google, Meta
AI backlash is coming for elections
Americans are worried about AI — but how it will play into the midterms is less clear.

How AI Destroys Institutions
Civic institutions—like the rule of law, higher education, and a free press—are the backbone of democratic life. They are the mechanisms through which complex s


AI and the Future of Digital Public Squares
Two substantial technological advances have reshaped the public square in recent decades: first with the advent of the internet and second with the recent introduction of large language models (LLMs). LLMs offer opportunities for a paradigm shift towards more decentralized, participatory online spaces that can be used to facilitate deliberative dialogues at scale, but also create risks of exacerbating societal schisms. Here, we explore four applications of LLMs to improve digital public squares: collective dialogue systems, bridging systems, community moderation, and proof-of-humanity systems. Building on the input from over 70 civil society experts and technologists, we argue that LLMs both afford promising opportunities to shift the paradigm for conversations at scale and pose distinct risks for digital public squares. We lay out an agenda for future research and investments in AI that will strengthen digital public squares and safeguard against potential misuses of AI.

New_ Public | After the Feed
What happens after the social media feed? A presentation on the future of conversation, community, and social connection, and how AI will affect the everyday lives of billions.

"The forces that are now shaping AI are the same forces that turned the open internet into monopolistic platforms, converted peer-to-peer participation into precarious labor, and enclosed the digital commons. They are now threatening to capture and enclose thought itself." osf.io/preprints/socarxiv/qahd3_v1/