Ecologia Digital<p><a href="https://mato.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> + the question of <a href="https://mato.social/tags/ownership" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ownership</span></a>: "<a href="https://mato.social/tags/TeHiku" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TeHiku</span></a> shows that when AI tools are built by organizations with entirely different <a href="https://mato.social/tags/incentive" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>incentive</span></a> structures in place, they can produce wildly different results. As long as AI is designed for the purposes of the <a href="https://mato.social/tags/competitive" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>competitive</span></a> <a href="https://mato.social/tags/accumulation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>accumulation</span></a> of capital, firms will continue to find ways to exploit labor, degrade the environment, take short cuts in data extraction, and compromise on safety, because if they don’t, one of their competitors will."</p><p><a href="https://jacobin.com/2025/07/altman-openai-artificial-intelligence-labor-environment-deepseek" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">jacobin.com/2025/07/altman-ope</span><span class="invisible">nai-artificial-intelligence-labor-environment-deepseek</span></a></p>