Today I woke up to a piece of news that made me reflect a lot about the current state of Artificial Intelligence. In the last 24 hours, a series of events have shaken the world of technology, with an important revelation about OpenAI standing out.<\/p>\n
The long-awaited GPT-5, codenamed Orion, is in serious trouble. According to the Wall Street Journal<\/a>, the project is months behind schedule, over budget, and facing fundamental questions about its viability. Each round of training is costing half a billion dollars (!), and the results still don\u2019t justify the investment.<\/p>\n And it doesn't stop there. A recent study in the health area<\/a> revealed something I\u2019ve been saying for a while: AI isn\u2019t a magic bullet that doesn\u2019t require humans. In fact, many AI systems in healthcare are requiring more people (and costs) than anticipated to function properly.<\/p>\n Amid this scenario, the United States seems to have woken up to the urgency of the moment. The \u201cPreserving American Dominance in AI Act\u201d has been introduced in Congress<\/a>, a bipartisan proposal to create a federal agency dedicated to AI oversight, with a focus on national security.<\/p>\n What does all this mean in practice?<\/strong><\/p>\n In my experience working with startups and innovation for over 15 years, I have seen several technological hype cycles. The current moment in AI reminds me a lot of the internet bubble of the 2000s: big promises, astronomical investments and, now, the first signs that not everything is as simple as it seems.<\/p>\n But it\u2019s not all challenges. OpenAI surprised its Plus users with unlimited access to Sora<\/a>, its new video maker, during the holidays. And Apple is allowing the Siri uses ChatGPT as a reply engine<\/a>.<\/p>\n What can we learn from all this?<\/strong><\/p>\n 1. AI is powerful, but it\u2019s not magic. It requires people, processes, and significant investment to make it work well.<\/p>\n 2. We are entering a more mature phase of the market, where limitations are beginning to become evident \u2013 and this is healthy.<\/p>\n 3. Regulation is coming, and this is positive for the ecosystem as a whole.<\/p>\n 4. Big companies are looking for ways to monetize and make AI more accessible, even if they don\u2019t always get it right the first time.<\/p>\n In my view, this news does not diminish the transformative potential of AI \u2013 on the contrary. It helps us to have more realistic expectations and to build more solid and sustainable solutions.<\/p>\n As I always tell the entrepreneurs I mentor: the secret is not to ride the hype wave, but to deeply understand the real problems and use technology intelligently to solve them.<\/p>\n The future of AI remains bright, but it may require a little more patience\u2014and a lot more collaboration between humans and machines\u2014than we initially imagined.<\/p>","protected":false},"excerpt":{"rendered":" OpenAI faces challenges with GPT-5, costs of AI in healthcare surprise and the US proposes new regulations. An analysis of the last 24 hours that reveals a more mature and realistic phase of Artificial Intelligence.<\/p>","protected":false},"author":2,"featured_media":266,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[24],"class_list":["post-267","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-inteligencia-artificial","tag-criado-por-ia"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t