Canada’s AI policy applauds Anthropic’s Mythos model rollout despite restricted access, spotlighting corporate-state collusion in AI militarization risks

Indigenous epistemologies critique Mythos as a manifestation of extractive innovation, where corporate entities hoard knowledge and weaponize it against marginalized populations, echoing colonial patterns of resource control. The model’s restricted access reinforces a hierarchy of knowledge that excludes Indigenous and Global South communities from shaping AI governance. Traditional knowledge systems emphasize collective stewardship over proprietary control, directly opposing Anthropic’s model of corporate enclosure. This perspective highlights how 'responsible AI' narratives often serve as Trojan horses for neocolonial tech dominance.

The Mythos model’s restricted access and cyberattack warnings parallel historical patterns of dual-use technology control, such as nuclear weapons research or biowarfare programs, where corporate-state alliances justified secrecy under the guise of 'national security.' Canada’s AI minister’s endorsement mirrors past instances of state validation for corporate-led technological monopolies, such as Bell Labs’ dominance in mid-20th-century communications. The revolving door between tech firms and defense agencies—evident in Anthropic’s hiring of ex-military personnel—repeats the historical entanglement of innovation and militarization seen in Silicon Valley’s Cold War origins. This continuity underscores how 'responsible AI' rhetoric often obscures structural militarization.

In East Asia, some techno-optimists view Mythos’s restricted access as a form of 'controlled innovation,' aligning with Confucian traditions of hierarchical knowledge dissemination and state-guided technological progress. However, this perspective often overlooks the geopolitical risks of AI arms races, where corporate-state alliances exacerbate global instability. Latin American scholars critique such models as neocolonial, arguing that 'AI for development' narratives mask the transfer of surveillance technologies to authoritarian regimes. African policymakers, meanwhile, emphasize the need for equitable access to AI tools to avoid exacerbating digital divides.

The scientific literature on AI dual-use risks—such as cyberattack capabilities, autonomous weapons, and surveillance applications—supports concerns about Mythos’s restricted access model, which may enable corporate-state control over high-risk technologies. Studies show that proprietary AI models with limited transparency are prone to misuse in cyber warfare, disinformation campaigns, and authoritarian surveillance, as seen with tools like Pegasus spyware. The lack of independent auditing of Mythos’s capabilities raises questions about its safety claims, given evidence that even 'controlled' AI systems can be repurposed for harmful ends. This underscores the need for open-source alternatives and rigorous third-party validation.

Artists and spiritual leaders critique Mythos as a symbol of humanity’s hubris in seeking to control knowledge through corporate enclosure, echoing myths of Prometheus or the Tower of Babel. Indigenous artists depict AI as a 'digital colonizer,' where algorithms extract cultural knowledge without consent, mirroring historical patterns of cultural erasure. Some Buddhist and Taoist traditions frame AI as a manifestation of 'maya' (illusion), warning that the pursuit of unrestricted computational power distracts from collective well-being. Creative resistance, such as AI-generated counter-narratives or indigenous-led tech ethics, offers a spiritual counterpoint to corporate AI dominance.

Scenario modeling suggests that Mythos’s restricted access could accelerate an AI arms race, where states and corporations compete to weaponize AI while excluding public oversight, leading to catastrophic cyber conflicts. Alternative futures include open-source AI ecosystems that democratize access and prioritize safety, but these require regulatory frameworks that break corporate-state collusion. The model’s cyberattack warnings imply a future where AI-driven disinformation and autonomous weapons become normalized, unless governance structures are radically reformed. Long-term implications include the erosion of democratic institutions as corporate AI systems gain unchecked influence over policy and public discourse.

Marginalized communities—particularly in the Global South, Indigenous groups, and low-income urban areas—are most vulnerable to AI-driven surveillance, cyberattacks, and algorithmic discrimination, yet their voices are excluded from the Mythos narrative. Civil society organizations, such as Access Now and the Electronic Frontier Foundation, warn that restricted-access AI models exacerbate power imbalances, giving corporations and states disproportionate control over digital futures. Survivors of state surveillance in authoritarian regimes argue that 'controlled innovation' is a misnomer, as AI tools inevitably leak into repressive hands. Their perspectives highlight the need for participatory AI governance that centers community needs over corporate profits.