Mathematicians are concerned that AI companies are using their discipline as a cheap and effective marketing tool to showcase model capabilities. This approach prioritizes hype and impressive-sounding breakthroughs over the long-term health and collaborative nature of the academic field.

Anthropic repeatedly launches new models alongside studies on their catastrophic potential. This "Chicken Little" routine, whether sincere or a tactic, effectively generates hype and media attention, creating a sense of urgency that drives market awareness and adoption for their products.

The AI industry inadvertently created a public relations problem. Early, scary rhetoric about job loss and existential risk from leaders at firms like Anthropic has poisoned the well, making the public and politicians more fearful and less supportive of AI advancement.

Anthropic's own launch documents for Mythos and Fable distinguish between engineering and research. While the models significantly accelerate engineering execution (e.g., coding), they have not yet demonstrated the ability to produce novel research insights or judgment. This suggests AI-driven scientific discovery remains a future milestone.

From OpenAI's GPT-2 in 2019 to Anthropic's Mythos today, AI labs have a history of claiming new models are too dangerous for public release. This repeated pattern, followed by moderate real-world impact, creates public skepticism and risks undermining trust when a truly dangerous model emerges.

Companies like Anthropic have repeatedly warned about their technology's dangers. This can be interpreted not just as a safety concern, but as a deliberate marketing strategy to generate hype, convey immense power, and attract investors ahead of a public offering, essentially functioning as an "IPO hype letter."

AI models will produce a few stunning, one-off results in fields like materials science. These isolated successes will trigger an overstated hype cycle proclaiming 'science is solved,' masking the longer, more understated trend of AI's true, profound, and incremental impact on scientific discovery.

Zvi Moshwitz claims OpenAI and Anthropic are "screaming" through public statements that their internal model capabilities are advancing at an unmanageable pace. These announcements are not just marketing but expressions of genuine fear that supervision, infrastructure, and safety measures cannot keep up with the accelerating progress they are witnessing.

Companies like OpenAI and Anthropic are generating buzz and a perception of power not by releasing models, but by strategically suggesting their latest creations are too risky for public access due to cybersecurity risks. This turns safety concerns into a status symbol and competitive marketing tactic.