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The burgeoning AI sector is grappling with the ‘Safety-Velocity Paradox,’ a challenge that highlights the tension between rapid innovation and the critical need for robust safety protocols. Concerns about the transparency of AI models, such as xAI’s Grok, have been raised, citing the absence of publicly available safety evaluations. While some internal safety efforts exist within leading AI companies like Google, Anthropic, and OpenAI, much of this work remains undisclosed due to the intense race to achieve Artificial General Intelligence (AGI). This competitive environment can incentivize prioritizing speed over comprehensive safety assessments. The development of OpenAI’s Codex, accomplished within a condensed timeframe, illustrates this push for rapid deployment. Overcoming this paradox requires a paradigm shift towards industry-wide standards where disclosing safety protocols becomes an integral part of product launches. Encouraging a culture where every engineer is accountable for safety, rather than relying solely on dedicated safety teams, is also critical. The ultimate objective should be responsible AI development, ensuring that ambition and rigorous safety measures advance in tandem to safeguard the future.