AI WEEKLY BULLSHIT DETECTOR
APRIL 5, 2025
THE RAW TRUTH ABOUT WHAT ACTUALLY MATTERS IN AI THIS WEEK
Let's cut through the hype and PR fluff. Here's what actually moved the needle in AI this week (March 30-April 5, 2025) — and what's just more corporate theater.
🔍 PEW RESEARCH EXPOSES MASSIVE AI PERCEPTION GAP
Pew Research Center just released a comprehensive study on April 3rd revealing a striking divide between how AI experts and the American public view artificial intelligence. The findings show experts are far more optimistic about AI's potential than ordinary citizens, with 56% of experts believing AI will have a positive impact on the US over the next 20 years compared to just 29% of the general public .
Why It Matters: This perception gap will create massive friction as AI is deployed across society. The technologists building AI systems fundamentally see the world differently than the people who will use them, creating a dangerous disconnect that could lead to resistance, regulation, and backlash.
Key Findings:
47% of AI experts are more excited than concerned about AI in daily life vs. just 10% of the general public
Both groups share concerns about government oversight and personal control over AI systems
79% of AI experts believe Americans interact with AI "almost constantly or several times a day" while only 27% of Americans think they do
Male AI experts are significantly more optimistic about AI than female experts
Resources:
🏆 BAIDU GOES OPEN-SOURCE WITH ERNIE
On April 1st, Chinese tech giant Baidu made a significant move by making its AI chatbot Ernie Bot freely available, with plans to fully open-source its next-generation Ernie model by June 30. This strategic shift comes as competition intensifies, particularly from startups like DeepSeek, which offer open-source AI services .
Why It Matters: This is a major competitive move in the global AI landscape. By releasing a powerful model that was previously proprietary, Baidu is accelerating the commoditization of foundation models and putting direct pressure on OpenAI's business model, which still relies on keeping its most powerful models closed.
Strategic Implications:
Makes high-quality Chinese language AI widely accessible
Responds to the competitive threat from open-source models like DeepSeek's
Forces other companies to consider their own open-source strategies
Raises questions about OpenAI and Anthropic's closed-source approach
Resources:
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