Do you know that moment when you realize that we are living a turning point in the history of technology? Well, that is exactly what happened in the last 24 hours in the global scenario of artificial intelligence.<\/p>\n
On one hand, we have BRICS countries releasing historic declaration on ethical governance of AI<\/a>, advocating an inclusive approach based on the UN Charter. On the other hand, Meta hiring experts from OpenAI to create \u201cthe most powerful AI ever seen\u201d<\/a> with billion-dollar investments.<\/p>\n This dichotomy is no coincidence. It reveals two completely different visions of the future of artificial intelligence \u2014 and the decisions made now will define whether we will have a truly democratic technology or one concentrated in the hands of a few.<\/p>\n The BRICS declaration on AI is not just another diplomatic document. It is a clear attempt to create a counterpoint to the technological hegemony of American Big Tech.<\/p>\n The group emphasizes three fundamental pillars that I consider essential for any serious discussion about AI:<\/p>\n What strikes me most is the warning about the risks of Artificial General Intelligence (AGI). BRICS recognizes that, if poorly managed, AGI can \u201cdeepen inequalities and technological dependencies.\u201d<\/p>\n This concern is entirely justified. In my experience working with startups and public policy, I have seen firsthand how technological concentration can create chasms of opportunity. AI cannot repeat this mistake.<\/p>\n Meanwhile, Meta is literally going all-in on the race for superintelligence. OpenAI Hires Advanced Reasoning Model Specialist Trapit Bansal<\/a>, signals a significant escalation in investments.<\/p>\n With a budget exceeding US$100 million for this team alone, Meta is focusing on:<\/p>\n Interestingly, Meta promises \u201csuperiorly accurate and interpretable AI models.\u201d This suggests a genuine concern for explainability \u2014 something I\u2019ve always argued is fundamental to public trust in AI.<\/p>\n But here we have a fascinating paradox. Carbon emissions from AI data centers could grow 11-fold by 2030, according to an Accenture report.<\/a>, reaching the equivalent of Canada's annual consumption.<\/p>\n Let\u2019s put that into perspective: we\u2019re talking about 612 terawatt-hours per year and over 3 billion cubic meters of fresh water. It\u2019s like AI is literally drinking an entire country.<\/p>\n Meta, for example, is requesting US$ 29 billion for new data centers<\/strong>, including a $10 billion complex in Louisiana. It\u2019s an astronomical bet on the future of AI \u2014 but at what environmental cost?<\/p>\n As someone who has always believed in technology as a positive transformative force, I am concerned about this headlong rush. Innovation without environmental responsibility is not sustainable in the long term.<\/p>\n In the midst of this global scenario, Brazil is taking important steps. UnB announced the country's first bachelor's degree in Artificial Intelligence<\/a>, scheduled to begin in 2026.<\/p>\n This initiative is especially relevant because:<\/p>\n What impresses me most is that UnB is investing in supercomputing and training its own administrative team. This shows a systemic vision of the transformation that AI can bring to institutions.<\/p>\n One of the most exciting news stories of the last 24 hours was about How AI tools are turning smartphones into professional studios<\/a>. According to research by Hedgehog Digital, 75% of Brazilians who use AI do so via cell phone<\/strong>.<\/p>\n This is revolutionary. Tools like Gemini, Veo and Gamma are enabling anyone to create professional corporate videos and presentations in minutes, using only voice commands.<\/p>\n Expert Thiago Muniz, from FGV, made a brilliant observation: \u201cGeneration Z influencers and billionaire executives use the same tools, differing only in strategic application.\u201d<\/p>\n In my experience mentoring startups, I have always argued that the democratization of technology is what really drives innovation. When powerful tools become accessible to everyone, applications emerge that we never imagined.<\/p>\n But not everything is rosy. Professor Dora Kaufman has warned about the phenomenon of AI \u201challucinations\u201d<\/a>, when systems like ChatGPT literally \u201cinvent\u201d answers.<\/p>\n This is because AI relies on statistical patterns, not real knowledge. When there is insufficient data, it can create false information that appears true.<\/p>\n Kaufman highlights three critical risks that I consider fundamental:<\/p>\n Silvio Meira brought a deep reflection on privacy and mental sovereignty<\/a>. He argues that platforms like Meta and Google already generate billions in revenue through \u201csurveillance capitalism.\u201d<\/p>\n But now, with models like GPT-4, the situation becomes more complex. AI can infer personality traits and adjust messages to influence our decisions \u2014 even political ones.<\/p>\n Meira proposes an interesting solution: legislation that criminalizes psychological inferences without consent<\/strong> and the development of \u201cantidote AIs\u201d against cognitive manipulation.<\/p>\n As someone who has always fought for diversity and inclusion in the innovation ecosystem, I see this as a fundamental human rights issue. Our minds are the last frontier of privacy \u2014 and we need to protect them.<\/p>\n Unfortunately, PT-linked profiles are using AI-generated videos for political attacks<\/a>, generating 280 thousand mentions on social media and millions of interactions.<\/p>\n This reveals how AI is being weaponized to manipulate public discourse. It is troubling to see technologies that should empower being used to polarize and misinform.<\/p>\n This situation reinforces the urgency of the BRICS proposals for ethical governance of AI. We need clear rules before it is too late.<\/p>\n Amidst all these challenges, experts are teaching you how to use ChatGPT, Gemini and Claude professionally<\/a>. The \u201cgolden rule of prompts\u201d involves structured commands with Persona, Task, Context and Format.<\/p>\nBRICS and the Quest for Fairer AI<\/h2>\n
\n
The Billion Dollar Race to the Finish Line<\/h2>\n
\n
The Environmental Paradox of Big Tech<\/h2>\n
Brazil at the Forefront of AI Education<\/h2>\n
\n
The Democratization of AI Through Smartphones<\/h2>\n
The Risks We Cannot Ignore<\/h2>\n
\n
The Last Frontier: Our Mental Privacy<\/h2>\n
The Dark Side of Digital Politics<\/h2>\n
Professional Training: The Key to the Future<\/h2>\n