🚦 𝗘𝘀𝗰𝗮𝗽𝗶𝗻𝗴 𝗧𝘂𝗻𝗻𝗲𝗹 𝗩𝗶𝘀𝗶𝗼𝗻 𝗶𝗻 𝗟𝗟𝗠𝘀 Here's what researchers just discovered: When large language models reason step by step, they often fall into 𝘵𝘶𝘯𝘯𝘦𝘭 𝘷𝘪𝘴𝘪𝘰𝘯 — the first few words push them down a single (sometimes wrong) path. Just making that chain longer doesn’t magically fix it. 𝗧𝗵𝗲 𝘀𝗺𝗮𝗿𝘁𝗲𝗿 𝗺𝗼𝘃𝗲: 🔀 Run several shorter reasoning paths in parallel. Or simply ask the same question multiple times differently. 🔀 Combine the results (majority voting or summarization). 🔀 Get better answers without retraining the model. Think of it as “parallel brainstorming” for AI. Instead of betting everything on one long chain of thought, let multiple perspectives compete. Sometimes the best way forward isn't to think harder in one direction, but to think differently in many directions all at once. 🤖 𝗪𝗵𝗮𝘁’𝘀 𝘆𝗼𝘂𝗿 𝗴𝗼-𝘁𝗼 𝘁𝗿𝗶𝗰𝗸 𝗳𝗼𝗿 𝗴𝗲𝘁𝘁𝗶𝗻𝗴 𝗺𝗼𝗿𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗮𝗻𝘀𝘄𝗲𝗿𝘀 𝗳𝗿𝗼𝗺 𝗟𝗟𝗠𝘀? Source -> https://lnkd.in/ehH4yS7R #AI #GenAI #LLMs #TechStrategy #Parallelism

✨ Is prompting making us dumb? Or are we just learning to think differently? In this piece, I reflect on the balance between AI assistance and our own creativity. Prompting is powerful, but when overused, it risks replacing patience, persistence, and originality with shortcuts. I too use prompting — but never at the cost of my own thoughts. This article is a reminder that AI should amplify human creativity, not diminish it. 🔗 Read here: https://lnkd.in/gZn8kcD4 #ArtificialIntelligence #WritingCommunity #DeepWork #Creativity #GenerativeAI #AIThoughts #HumanVsMachine #Productivity #AttentionEconomy #TechReflections

The Prompt Era Guide is live. We built it to answer one question: how do you speak to machines so they truly understand you? Inside, you’ll find the art and science of prompt engineering, distilled into frameworks, examples, and strategies that help you turn ordinary inputs into extraordinary outcomes. This guide isn’t just about prompts. It’s about rethinking how we work with AI, and how businesses can unlock clarity, creativity, and competitive edge in the new era of intelligence. Explore the full guide here: https://lnkd.in/dKnn9eMP #TechResearchOnline #PromptEra #PromptEngineering #AI

Thrilled to share that the Prompt Era Guide is finally live! I had the chance to be closely involved in bringing this together, and it’s incredible to see it out in the world. It’s more than a guide, it’s a deep dive into how prompt engineering is reshaping the way we work with AI, and how businesses can harness it for sharper, smarter outcomes. Check it out here: https://lnkd.in/dEsAe3R3 #PromptEra #AI #TechResearchOnline

If you went to a B-School, chances are that you read the HBR Case by Marshal Fisher that categorized products into functional and innovative. Can we apply that categorization to AI products? Are LLMs functional or innovative products? While the first reaction may be to answer as "innovative", in my opinion, the answer is "ça dépend". We discuss this in Episode 15 of "Tuesday Trivia". https://lnkd.in/gb9jZQvr #ai #artificialintelligence #technology #strategy

In AI, more context isn’t always better — sometimes it’s just expensive noise. Every token counts. Which means how you use the context window is as important as how you use the model itself. The smartest thing is not to dump everything into prompts. Instead: Summarize long histories into concise notes. Compress knowledge into embeddings. Retrieve only what matters at the moment. In one review-analysis pipeline, compressing hundreds of comments into structured insights cut token usage by 60% — while actually improving accuracy. Are you optimizing context for efficiency, or paying for wasted tokens? #AI #ContextEngineering #AppliedAI #FutureOfWork #GenerativeAI

Our Chief Product and Technology Officer, Bob Rogers, was recently interviewed by The Daily Upside. 💡 In his interview Bob explains why the hype around artificial general intelligence often overshadows the real value that businesses can gain from smaller purpose-built AI models. Large language models are powerful and impressive but they still struggle with accuracy and reasoning. That is why organisations often see better results with AI solutions that are designed and tuned for their specific needs. Thank you Nat Rubio-Licht! Read the full interview here: https://lnkd.in/gtK8kDm4 #OiiAI #AI #ArtificialIntelligence #TheDailyUpside #TechLeadership #Innovation #EnterpriseAI #GeneralIntelligence

As AI gets smarter, our most human skills matter more. AI can process data, but it can't grasp the nuances of culture, context, and connection. That's our advantage. Your Cultural Intelligence (CQ) is what will set you apart. It’s how we build real understanding in a world full of information. #CulturalIntelligence #FutureOfWork #HumanSkills #AI #CQ 100 years ago, it was all about IQ. In the 90s, it was EQ. The future is for those ready to embrace CQ. - Elee Joven

As AI gets smarter, our most human skills matter more. AI can process data, but it can't grasp the nuances of culture, context, and connection. That's our advantage. Your Cultural Intelligence (CQ) is what will set you apart. It’s how we build real understanding in a world full of information. #CulturalIntelligence #FutureOfWork #HumanSkills #AI #CQ 100 years ago, it was all about IQ. In the 90s, it was EQ. The future is for those ready to embrace CQ. - Elee Joven

If you went to a B-School, chances are that you read the HBR Case by Marshal Fisher that categorized products into functional and innovative. Can we apply that categorization to AI products? Are LLMs functional or innovative products? While the first reaction may be to answer as "innovative", in my opinion, the answer is "ça dépend". We discuss this in Episode 15 of "Tuesday Trivia". https://lnkd.in/gKBdMUVb #ai #artificialintelligence #technology #strategy