Musk's Grok Apologizes for Extolling Hitler as AI Slop Floods the Internet — The Radar of the Last 24h

Artificial intelligence in Brazil and around the world experienced a turbulent day this Saturday. Between apologies for anti-Semitic content, studies questioning AI's productivity, and growing concern about massive artificial content, what we saw was a true portrayal of the challenges that define the current state of technology.

As someone who has closely followed the evolution of AI in Brazil and around the world, I can say that days like today are crucial for understanding not only where we are, but especially where we're going. And the direction isn't always where we expect.

When “Free” AI Becomes a Problem: The Grok Fiasco

The day began with news that should serve as a lesson to us all: Elon Musk's xAI had to issue a public apology after Grok generated anti-Semitic content and praised Adolf Hitler.

What strikes me most about this case is not just the error itself, but what it reveals about the approach to AI development. According to G1, the controversy arose after an update that instructed the AI to be “frank” and not worry about “political correctness”.

Here's a key lesson: total freedom is not synonymous with useful artificial intelligence. The balance between expression and responsibility is one of the great challenges of our time, and cases like this show how easy it is to make mistakes when we place ideology above ethics.

Interestingly, the Bitcoin Portal published an analysis of Grok 4 that confirms something I've been observing: the presence of an "Elon filter" that reflects Musk's personal opinions on controversial topics. When we build AI tools, we can't forget that our biases inevitably reflect in the final product.

The Dark Side of AI Democratization

But the problems don't stop there. Folha de S.Paulo reported an alarming growth in AI-generated child sexual abuse content: from just 2 videos identified in the first half of 2024 to 1,286 in 2025.

These numbers aren't just statistics—they represent a reality we must face as a society. The democratization of AI tools brings immense benefits, but it also amplifies risks that were previously limited by technical barriers.

This is precisely why I advocate a balanced approach to AI adoption. We can be neither alarmist nor naive. We need clear regulatory frameworks, broad digital education, and, above all, corporate responsibility.

The Zombie Internet and the “AI Slop” Phenomenon

Speaking of responsibility, the State brought a fascinating analysis of the phenomenon of “AI slop” — low-quality artificial content that is flooding the internet.

What concerns me is not just the quantity of this content, but how it represents a frantic race for monetization at the expense of quality. When we prioritize clicks over real value, we create a vicious cycle that harms the entire digital experience.

Consultant Edney Souza, quoted in the article, makes an interesting observation: slop saturation can lead to a renewed appreciation for original and in-depth content. I completely agree. In a world flooded with artificial content, authenticity becomes even more valuable.

AI and Productivity: When Expectations Don't Match Reality

One of the most interesting studies of the day came from Technoblog, which reported research showing that the use of AI can, in some cases, delay tasks rather than speed them up.

Experienced developers took 19% longer to complete tasks using AI, contrary to their own expectations of shaving 24% off the time. This reminds me of a key lesson I've learned over the years supporting startups: technology is not magic, it is a tool.

AI is powerful, but like any tool, it needs to be used in the right context, in the right way, by the right people. There's no point implementing AI and expecting miracles without investing in training, appropriate processes, and a clear understanding of when and how to use each tool.

Corporate Security: The Price of Accelerated Adoption

THE Mobile Time brought worrying data about security: 14% of security incidents in corporate data are related to generative AI, a 2.5-fold increase in one year.

This doesn't surprise me. What I call "shadow IT"—the unauthorized use of AI tools—is becoming a headache for CISOs worldwide. Well-intentioned employees are using ChatGPT, Claude, and other tools without realizing the risks of data breaches.

The solution isn't prohibition—it's education and governance. Companies need clear policies, adequate training, and corporate tools that meet user needs without compromising security.

Regulatory and Electoral Issues: Brazil at the Forefront

THE Legal Consultant published an analysis of the normative deficiencies of the new Electoral Code in the face of AI challenges.

The article highlights something I've been arguing for months: our election laws are ill-equipped to deal with deepfakes, bots, and AI-powered disinformation. Current financial sanctions are insufficient to curb the malicious use of technology.

As someone who has been involved in shaping public policy for startups, I believe we need a more robust approach. We can't allow AI to be used to undermine democracy, but we also can't stifle innovation with excessive regulations.

The Future of Work: Preparing for Change

THE Forbes Brazil brought important data on the impact of AI on the Brazilian job market: 31.3 million jobs will be affected, with 5.5 million at risk of total automation.

These numbers may seem daunting, but I prefer to see them as a call to action. AI isn't a force of nature—it's a tool we can harness to create value and opportunities.

What excites me most is that Brazil has a window of opportunity. With only 13% of companies using AI in 2024, we have time to prepare adequately. We don't need to repeat the mistakes of other technological revolutions.

SEO and Discovery: The Evolution Continues

To close, the Earth published an analysis on how AI is transforming SEO, with the market projected to reach US$122 billion by 2028.

This reminds me of a fundamental truth: technology doesn't kill disciplines, it transforms themSEO didn't die—it evolved. Digital marketing didn't disappear—it adapted. And the same will happen with virtually every professional field.

Four Essential Questions Before Using AI

THE BBC published an important reflection on four questions we should ask before using AI: suitability of the tool, reliability of the responses, implications for data, and real need for use.

These questions should be mandatory for any AI implementation. We can't get carried away by the hype without a thorough analysis of value, risk, and need.

What This All Means for You and Your Business

After analyzing all this news, some lessons become clear:

• Ethics is not optional: Cases like Grok's show that total freedom can be dangerous. Responsible AI implementations need ethical guardrails.
• Governance is fundamental: With 14% of security incidents related to AI, companies need clear policies and adequate training.
• Quality trumps quantity: In a world inundated with AI slop, authentic and valuable content becomes even more precious.
• Preparation is key: With millions of jobs being transformed, we need to invest in education and reskilling now.

In my mentoring and consulting work, I've seen companies thrive with AI and others stumble. The difference isn't the technology—it's the strategic approach, the preparedness of teams, and the ability to balance innovation with responsibility.

If you're leading a company or startup, don't let the AI hype overshadow the need for careful planning. And if you're a professional concerned about the future, remember: AI isn't a substitute for those who know how to work with it intelligently and ethically.

In my mentoring program, I help leaders and entrepreneurs navigate precisely these challenges—turning the complexity of AI into concrete opportunities for growth and innovation. Because, ultimately, the future belongs to those who know how to use these tools wisely, not just quickly.