Every single result is website that all have the same layout.

Hate searching for something and every result has clearly been copy/pasted from whoever made the list/answered it originally.

retvrn to physical books

How do you know that Native Americans didn't visit Australia and be like "damn, that's a great owl"?

I've been coping with this shit by being ok with not totally knowing some things lol

Search engines used to be optimized to filter out SEO garbage. Now they’re trying to incorporate as much AI garbage as possible.

The Internet is becoming less useful and searching things (which i once took pride in being good at) is now a slow terrible process of siftin thru alla trash. Yeah I'm pretty mad about it

I love AI

We thought digital archives would be useless because people in the future would likely not have the technology to access them. How many computers even have CD players or floppy disk drives anymore? Turns out they will also be useless because they're full of AI generated garbage.

Meanwhile, archival paper lasts three centuries minimum. Much longer if it's stored well.

What if this post was written by AI as well? Can you prove otherwise?

Well?

little did you know, the website was created by a true native american source: Jamake Highwater

AI google agreed that the internet was unusable now. Who you gonna trust now

Vector search tech that all search engines rely on so heavily flattens everything to the lowest common denominator.

You’re asking about Australian owls but from the usa? “You want information that relates aus owls to the usa, trust me bro.”

Hey, this isn't a bad post. This isn't a bad post at all!

I keep seeing leftists say there will always be places to go on the internet

But servers are the modern day press

Who owns most servers? Amazon

Funny, that

It should be called the Ngugug or Junu Junu or something along those lines

already has a fake name so why not fake everything else?

Analysis of AI and Disinformation Through a Dialectical Materialism Framework

1. The Two World Outlooks

• Metaphysical Outlook: A static view might treat AI as a neutral tool, ignoring its dynamic role in both propagating and combating disinformation. For example, focusing solely on AI’s technical capabilities without addressing its socio-political impact.
• Dialectical Outlook: Recognizes AI as a contradictory force—creating hyper-realistic disinformation (e.g., deepfakes via GANs) while simultaneously detecting it through automated fact-checking and blockchain verification . This duality reflects the interconnectedness of technological advancement and societal consequences.

2. Universality of Contradiction

AI’s role in disinformation is marked by inherent contradictions:

• Creation vs. Detection: AI enables mass production of disinformation (e.g., synthetic text, deepfakes) but also powers tools to identify and mitigate it, such as NLP algorithms and bot-detection systems .
• Accessibility: Generative AI lowers barriers for malicious actors (e.g., low-cost deepfake tools) while democratizing countermeasures (e.g., open-source detection software) .
• Trust Erosion vs. Trust Building: AI-generated content fuels the “liar’s dividend” (sowing doubt in facts) but can also enhance transparency (e.g., blockchain for content provenance) .

3. Particularity of Contradiction

Each form of AI-driven disinformation has unique characteristics:

• Deepfakes: Leverage GANs to manipulate audio/video, targeting political figures (e.g., fake Biden/Trump videos) .
• Social Bots: Semi-automated accounts amplify divisive narratives, as seen in the 2016 U.S. elections .
• Micro-Targeting: AI algorithms exploit user data to disseminate disinformation to vulnerable groups, such as vaccine skeptics during COVID-19 .
• Automated Fact-Checking: Combines NLP and machine learning to flag false claims but struggles with sarcasm or cultural context .

4. Principal Contradiction and Principal Aspect

• Principal Contradiction: The arms race between AI-generated disinformation (speed, scale) and AI-based detection (accuracy, adaptability). For instance, while platforms deploy AI to flag fake news, adversarial actors refine deepfakes to evade detection .
• Principal Aspect: The economic model of social media platforms, which prioritizes engagement over truth. AI-driven recommendation systems (e.g., YouTube’s algorithm) inadvertently promote divisive content to maximize user retention, exacerbating disinformation spread .

5. Identity and Struggle of Contradictory Aspects

• Identity: AI’s dual roles are interdependent. For example, the same NLP techniques used to generate fake news (e.g., ChatGPT) can train models to detect synthetic text .
• Struggle: The tension between disinformation’s societal harm and free speech protections. Automated moderation tools risk over-censorship, while under-regulation allows disinformation to thrive .
• Transformation: AI’s role evolves with context. During elections, deepfakes may dominate (antagonistic), while in public health crises, AI-driven chatbots can debunk myths (non-antagonistic) .

6. Antagonism in Contradiction

• Antagonistic: State-sponsored disinformation campaigns (e.g., Venezuela’s AI-generated news anchors) or AI-aided censorship (e.g., China’s chatbot restrictions) create systemic distrust and social fragmentation .
• Non-Antagonistic: Collaborative efforts like the EU’s co-regulation model balance AI moderation with ethical safeguards, emphasizing transparency and digital literacy .

7. Conclusion

The interplay between AI and disinformation embodies dialectical materialism’s core principles:

• Universality: Contradictions are inherent in AI’s dual role as creator and mitigator of disinformation.
• Particularity: Each technological application (e.g., deepfakes, bots) demands context-specific solutions.
• Fluidity: The principal contradiction shifts with material conditions (e.g., election cycles, pandemics).
• Interconnection: Global platforms, regulatory frameworks, and societal resilience shape outcomes.

Strategic Implications:

• Ethical AI Development: Prioritize explainable AI (XAI) to reduce algorithmic bias and ensure transparency .
• Regulatory Synergy: Combine AI detection with blockchain verification to enhance content provenance .
• Societal Resilience: Invest in digital literacy to counteract cognitive heuristics (e.g., “seeing is believing”) exploited by deepfakes .

Synthesis:
AI’s entanglement with disinformation reflects the broader struggle between technological innovation and human agency. By addressing contradictions through adaptive regulation, ethical AI, and public education, societies can navigate this dialectical challenge while preserving democratic integrity .

: “why don’t you like my INNOVOOOOSHUN?!?!?”