{"id":12536,"date":"2025-10-14T20:09:36","date_gmt":"2025-10-14T20:09:36","guid":{"rendered":"https:\/\/www.5wpr.com\/new\/?p=12536"},"modified":"2025-10-14T20:09:56","modified_gmt":"2025-10-14T20:09:56","slug":"curiosity-meets-code-how-ai-is-redefining-innovation-at-the-brooklyn-tech-expo","status":"publish","type":"post","link":"https:\/\/www.5wpr.com\/new\/curiosity-meets-code-how-ai-is-redefining-innovation-at-the-brooklyn-tech-expo\/","title":{"rendered":"Curiosity Meets Code: How AI Is Redefining Innovation at the Brooklyn Tech Expo\u00a0"},"content":{"rendered":"\n

The Brooklyn Tech Expo<\/a> brought together founders, engineers, and marketers to explore what\u2019s next at the intersection of innovation, entrepreneurship, and artificial intelligence. Across panels and keynotes, one theme stood out: the future of technology depends as much on human curiosity as it does on machine intelligence.\u00a0From helping traditional industries embrace generative AI<\/a> to redefining the role of creative thinking in a data-driven world, the event highlighted how progress comes from pairing technological precision with human perspective.\u00a0<\/p>\n\n\n\n

Helping Traditional Industries Join the Generative AI Wave<\/strong> <\/h2>\n\n\n\n

In his session, Yehoyada Mandeel, CEO of Marzipan Tech<\/a>, discussed how established industries are finally catching up to the generative AI revolution. His message was clear: companies that missed the early digital transformation boom can\u2019t afford to repeat history. <\/p>\n\n\n\n

We\u2019ve entered a new phase of AI, beyond automation and into optimization. Modern AI agents now act through decision tiers, performing goal-oriented reasoning rather than rule-based execution. Instead of focusing on how to code the backend, innovation is shifting toward how these systems think and adapt like humans. <\/p>\n\n\n\n

Mandeel highlighted how development timelines have accelerated by more than 30%. What once required years of testing and refinement can now be executed in three to four months. Much like eCommerce\u2019s early trajectory, adoption, improvement, and then optimization, AI is following the same path, only faster. <\/p>\n\n\n\n

His takeaway for business leaders: the real cost isn\u2019t in AI adoption, it\u2019s in hesitation. <\/p>\n\n\n\n

For marketers and communicators, this signals a crucial shift. As AI tools and integrations become democratized, brands that experiment early with AI-powered storytelling, predictive analytics, and audience engagement will build stronger competitive advantages. In <\/a>digital marketing<\/a> and <\/a>digital PR<\/a>, speed and adaptability will define success. <\/p>\n\n\n\n

AI, Curiosity, and Entrepreneurship<\/strong> <\/h2>\n\n\n\n

David Lefer<\/a>, Professor at NYU Tandon, approached AI from a more human perspective. His talk focused on what machines still lack: genuine curiosity. While AI systems excel at generating answers, humans remain unique in their ability to ask meaningful questions. <\/p>\n\n\n\n

Lefer drew parallels between AI models and Koko the Gorilla, capable of mimicry and communication, yet without true self-awareness. He emphasized that AI possesses no epistemic curiosity, meaning it doesn\u2019t wonder about the world or its place in it. Humans, by contrast, operate through diverse forms of curiosity: <\/p>\n\n\n\n