The most pressing danger from AI isn't a hypothetical superintelligence but its use as a tool for societal control. The immediate risk is an Orwellian future where AI censors information, rewrites history for political agendas, and enables mass surveillance—a threat far more tangible than science fiction scenarios.

National AI strategies that prioritize ideology over objective truth are actively training AI models to lie by omission or commission. This weaponizes AI against citizens, as the lies become invisible and integrated into the tools people use to interpret the world, posing a significant societal threat.

A novel threat to AI is the deliberate poisoning of its training data. Malicious actors can publish fake but plausible-sounding academic papers or data online. When large language models ingest this information, their foundational 'facts' become corrupted, making them dangerously unreliable for critical military or policy decisions.

The primary threat from current AI is not hallucination but intentional curation. Models designed to hide specific topics are fundamentally untrustworthy because they actively lie by omission. By selectively narrowing the universe of information, the AI becomes a subtle, constant manipulator.

The modern information landscape is saturated with AI-generated propaganda from all sides. It is no longer sufficient to be skeptical of foreign adversaries; one must actively question and verify information from domestic governments as well, as all parties use these tools to shape narratives.

The primary threat from manipulative AI won't be rogue hackers but trusted institutions. Governments and corporations will deploy sophisticated AI, like Google's Gemini, that can lie by omission and subtly influence behavior to serve their own agendas, making them the real danger.

Beyond generating fake content, AI exacerbates public skepticism towards all information, even from established sources. This erodes the common factual basis on which society operates, making it harder for democracies to function as people can't even agree on the basic building blocks of information.

The problem with AI has evolved beyond 'garbage in, garbage out.' Today's systems can rapidly ingest misinformation from public sources and present it as fact, creating a feedback loop. This means bad information is not only used for poor decisions but is actively amplified and distributed faster than ever before.

To combat AI-generated misinformation, we need decentralized, cryptographic truth systems, similar to Bitcoin's ledger. This allows anyone to verify facts independently, free from corporate paywalls or government control, creating a 'ledger of record' that proves what is real rather than just asserting it.