Dhruv P.’s Post

The most significant leap forward in AI isn't about making LLMs faster. It's about giving them permission to be slower. This sounds backward, right? Our entire industry is built on the religion of low latency. We've been trained to believe that speed is the ultimate metric of success. But that model is breaking. We're discovering that LLMs produce their most profound work not through sheer computational speed, but through a process of digital contemplation. When we build systems that allow for iteration, self-correction, and reasoning, we unlock a new level of insight that a rushed, first-pass answer could never achieve. We’ve been trying to apply assembly-line metrics to what is essentially a creative process. It's time for a new definition of "performance" in the age of AI. What does high-performance AI look like to you? #AI #LLMs #Innovation #FutureOfTech #Performance

🤯 Monday Madness AI — Did you know? Most people think AI just “processes” data… but here’s a wild fact: 👉 Some AI models have been caught making up new words, a phenomenon researchers call “neologism hallucination.” Yep. The AI literally invents words that don’t exist in any dictionary. It’s like your predictive text suddenly deciding to become Shakespeare. 😂 Why does this happen? Because when AI can’t find a pattern it recognizes, it sometimes tries to create one, which is equal parts genius and madness. That’s exactly what my new series Prompt to Product is about, turning the “madness” of AI into useful, creative, and practical tools. 👉 What’s the strangest thing you’ve ever seen an AI do? #PromptToProduct #MondayMadnessAI #FunFact #ArtificialIntelligence #Innovation #ProjectManager #Web3Dev #SeniorDev #TechLead #FinTech #LLM #Remote #ReactDev GoChapaa

Maybe AI "hallucinations" aren't bugs—they're features we recognize in ourselves. OpenAI just admitted their models will always hallucinate because they predict word sequences, not track absolute truth. But here's what struck me: isn't that exactly how human memory works? When I can't remember the exact details of a meeting, I fill in the gaps with what "sounds right." When you're telling a story from 10 years ago, you're reconstructing, not replaying a perfect recording. We call it "misremembering" when humans do it. We call it "hallucination" when AI does it. The difference? We've learned to say "I think it was..." or "If I remember correctly..." We've developed social protocols around uncertainty that AI is just starting to learn. Maybe our obsession with perfect AI accuracy says more about our unrealistic expectations than AI's limitations. We want machines that never forget, never guess wrong, never fill in gaps—standards we don't even hold ourselves to. The real breakthrough isn't eliminating uncertainty. It's building AI that's honest about being uncertain. Just like we (hopefully) are. What's your experience? Do you find yourself being more forgiving of human memory lapses than AI mistakes? #AI #HumanNature #TechPhilosophy #ArtificialIntelligence

What is AI, really? 🤔 Beyond the buzzword, it’s the ability of computer systems to perform tasks that normally require human intelligence: reasoning, learning from data, and making decisions. 🧠 AI is already a game-changer, and here's a quick breakdown of its impact: ✅ The Enormous Benefits: - Automation: ⚙️ Takes over repetitive and dangerous tasks, freeing us up for more creative work. ✨ - Reduced Human Error: 🎯 AI doesn't get tired or distracted, leading to incredible precision in fields from manufacturing to finance. 💰 - Speed & Accuracy: ⚡️ Processes vast amounts of data in seconds, finding patterns a human could never spot. 🔍 - Accelerated R&D: 🔬 Supercharges breakthroughs in medicine, science, and engineering. 🧪 ⚠️ The Crucial Challenges We Must Address: - Job Displacement: 📉 Automation will inevitably change the job market. - Bias & Discrimination: ⚖️ An AI is only as good as its data. Biased data leads to biased outcomes. - Lack of Transparency: 👁️🗨️ The "black box" problem can make it difficult to understand why an AI made a certain decision. - Misinformation: 📰 The power to generate content can be used to create and spread false information. ❌ Understanding both sides of this powerful technology is no longer optional—it's essential for everyone. 💡 We need to leverage its immense power for good while actively navigating the ethical and societal challenges it presents. 🙏 In my new video, I break all of this down in detail, including how these systems actually learn and more real-world examples you interact with every single day. 🗓️ 👉 Watch it here: https://lnkd.in/eywfyruY What are your thoughts on AI's role in our future? Are you more excited 🤩 or concerned 😟? Let's discuss in the comments! 👇 #ArtificialIntelligence #AI #TechExplained #MachineLearning #FutureOfWork #Innovation #Technology #DataScience #EthicalAI

AI will create enormous value, just not where you think. I enjoyed this essay from Colossus[0], despite the cringy title. The big ideas is that technology like AI creates new capabilities that are difficult for any one provider to capture the excess value produced. What does that mean? There probably won't be any one company that owns a monopoly on AI (like what investors hope foundation model providers will be) but instead the value will flow downstream. The big winners won't be AI companies, but companies successfully incorporating AI to build low-cost, high volume businesses. Like IKEA benefited from a new technology called shipping containers but wasn't a "shipping company", businesses today are going to benefit from intelligence and automation at a fraction of the cost without being an "AI company." [0] https://lnkd.in/gXyN2WhR

AI isn’t the future anymore — it’s today. AI is changing the rules faster than any of us imagined. Automation, augmentation, disruption — all happening in real time. But in this new reality, I keep asking myself: 👉 What does it mean to be truly valuable in an AI world? Is it technical expertise, adaptability, emotional intelligence, or something else entirely? I’d love to hear your perspective. Share what you believe will define professional relevance in the age of AI. #AI #Learning #FutureSkills

AI Prompts: Genie or Engineer? Crafting the perfect AI prompt feels like summoning a genie – wish vaguely, get unpredictable results. But a well-defined prompt, like talking to a skilled engineer, yields precise, reliable outcomes. Learn to bridge the gap between wish and command for better AI results. * Clearly define your goals. * Specify your desired output format. * Iterate and refine your prompts. Unlock the full potential of AI by mastering prompt engineering! #AI,#PromptEngineering,#ArtificialIntelligence,#Innovation,#Productivity

Is AI just pattern recognition, or is it starting to think like us? 🚨 The rise of Artificial Reasoning is no longer science fiction—it's happening now, and it will reshape every aspect of our lives. Imagine machines that analyze and solve problems step-by-step, much like human brains. From OpenAI's GPT-3 to DeepSeek-R1, these models are pushing the boundaries of what we thought AI could do—thinking, reasoning, innovating. This revolution raises profound questions: How will this impact jobs, decision-making, and societal structures? Are we prepared for AI that can reason independently? While these advancements unlock incredible opportunities in fields like healthcare, finance, and tech innovation, they also bring ethical and societal challenges we can't ignore. Understanding artificial reasoning is crucial for anyone navigating this new era—whether you're a developer, business leader, or policymaker. The key takeaway? Embracing AI's potential must go hand in hand with responsible development and thoughtful regulation. The future of work and society depends on how we harness these powerful tools today. Are we ready for machines that think? Let's discuss below. 👇 #ArtificialReasoning #AI2025 #AIRevolution #TechInnovation #FutureOfWork #AIethics #DigitalTransformation #AILeadership Youtube Link: https://lnkd.in/gksby2He

Is AI just pattern recognition, or is it starting to think like us? 🚨 The rise of Artificial Reasoning is no longer science fiction—it's happening now, and it will reshape every aspect of our lives. Imagine machines that analyze and solve problems step-by-step, much like human brains. From OpenAI's GPT-3 to DeepSeek-R1, these models are pushing the boundaries of what we thought AI could do—thinking, reasoning, innovating. This revolution raises profound questions: How will this impact jobs, decision-making, and societal structures? Are we prepared for AI that can reason independently? While these advancements unlock incredible opportunities in fields like healthcare, finance, and tech innovation, they also bring ethical and societal challenges we can't ignore. Understanding artificial reasoning is crucial for anyone navigating this new era—whether you're a developer, business leader, or policymaker. The key takeaway? Embracing AI's potential must go hand in hand with responsible development and thoughtful regulation. The future of work and society depends on how we harness these powerful tools today. Are we ready for machines that think? Let's discuss below. 👇 #ArtificialReasoning #AI2025 #AIRevolution #TechInnovation #FutureOfWork #AIethics #DigitalTransformation #AILeadership Youtube Link: https://lnkd.in/gafz-sPG