Rizwan Khan’s Post

Google AI and the Challenge of Hallucinations Google had an embarrassing situation recently with AI hallucinations (see screenshot below), where models generate plausible but incorrect information. Google is actively addressing this by refining their AI systems to reduce such errors, ensuring more reliable outputs. This is crucial as AI becomes increasingly integrated into various sectors. What steps do you think are most important in improving AI reliability? https://lnkd.in/eks2MC6z #AI #Technology #Innovation #GoogleAI Subscribe to my newsletter for more insights: https://lnkd.in/ekagcPQ9

#Breaking - Google unleashes groundbreaking 'open' AI models, prioritizing unmatched safety and innovation Read more: https://lnkd.in/edHvayNb #google #innovation #safety #technology #ai #misinformation This article has been fact-checked by Oigetit ✅ www.oigetit.ai - Using AI to fight Misinformation & Fake News

"Are we at the tipping point of AI’s journey through the hype cycle?" This Economist article does a great job of illustrating how different technologies experience varied hype cycles. Some ride a wave of excitement only to fade away, while others grow organically and steadily gain traction. We often see technologies pass through phases of inflated expectations, followed by a "valley of disappointment," before finally reaching a plateau of productivity or realization. Key Takeaways for me: 1) AI’s Critical Juncture: Right now, #AI—especially #GenerativeAI—is in the midst of this "valley of disappointment." This stage, far from being negative, is crucial. It’s the time when real value is determined. Those who invest in the right infrastructure and develop the necessary competencies will lead in #industrializing AI at scale. Starting small, while staying mindful of challenges like model drift, hallucinations, critical balance of man and machine etc will be key to realizing the technology’s full potential. 2) #Democratization of AI: The future of AI adoption hinges on today’s investments in technology and infrastructure. Companies and startups must navigate the current challenges carefully. For AI to be truly democratized, it is essential that AI models achieve #maturity-fit for various applications, alongside the development of #scalable-infrastructure and #cost-effectiveness. The real story of AI is still being written—what happens next will define its legacy…. …..Or will it? #AI #GenerativeAI #Hypecycle #FutureOfWork

Find out why your AI strategy is only as good as the data behind it from our conversation at THE PLAYERS® Championship. #iworkforComcast https://lnkd.in/gF_JWiuJ

And so it begins.....You better learn AI and incorporate it into your workflow NOW. https://lnkd.in/e9x56KTe

AI is not just a tech shift but a cultural one. With only 9% of companies culturally prepared for AI, it's time to rethink our approach. https://lnkd.in/gw5ZJk5y #CulturalShift #AITransition

This critical examination of AI is more than a precaution; it's a vital part of navigating our technological future. https://bit.ly/4bLq61v

The AI bubble is reaching a tipping point. Navigating what comes next will be essential. https://lnkd.in/dxmfw6QM

Google’s AI Overviews Face Backlash for Spreading Misinformation and Hallucinating Read Here: https://lnkd.in/gyD2FNhc #google #googleAi #googleaioverview #googleusers #technews #mymobileindia

How to Build a Bigger AI Bubble https://bit.ly/3yEUbm3