
Summary
Marketers are increasingly concerned about the effectiveness of their ad campaigns, with many reporting high impressions but low conversions, a phenomenon referred to as "bullspend." This issue highlights the gap between perceived success in metrics and actual revenue generation, prompting calls for a more results-oriented approach in advertising strategies.
In the realm of artificial intelligence, Google's recent launch of Gemini 3 Pro is generating significant buzz. The new model reportedly excels in design and coding tasks, outperforming its predecessors in various benchmarks. Notably, it has achieved impressive scores in complex reasoning tests, indicating a leap in AI capabilities. However, users have noted that while the model is fast and capable, it still struggles with certain instructions and can exhibit high rates of hallucination, raising concerns about its reliability.
The Gemini 3 Pro's multimodal capabilities allow it to process a variety of inputs, including text and images, making it a versatile tool for developers. Despite its strengths, the model's high token usage and associated costs have sparked discussions about its efficiency and practicality for everyday use. As Google continues to refine its AI offerings, the industry watches closely to see how these advancements will shape the future of technology and marketing.
Show Notes
Gemini 3 Pro is the best model ever madeTheo is a software dev nerd mostly known for full stack TypeScript stuff. Check out Theo and his stack at t3.gg
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