The Neuron: AI Explained

• AI PC Buyer’s Guide: Specs That Actually Matter (ft. Dell’s Logan Lawler)

  AI is changing what we need from our computers—but does that mean you need an "AI PC"? Corey and Grant sit down with Logan Lawler from Dell Technologies who leads Dell Pro Max AI solutions to decode what matters (and what doesn't) when buying or upgrading your next computer. From CPUs and GPUs to memory, NPUs, and traps to avoid, this episode is your practical roadmap for staying future-ready through the next five years of AI-powered work.Dell Pro Max Workstations: https://www.dell.com/en-us/plcp/lp/dell-pro-max-pcs LM Studio LIVE tutorial: https://www.youtube.com/watch?v=Ai3sBeBdA1Y Kiwix Wikipedia Download: https://en.wikipedia.org/wiki/Kiwix One Trainer: https://github.com/Nerogar/OneTrainerJawset Postshot: https://www.jawset.com/Subscribe to The Neuron newsletter: https://theneuron.aiCheck out the Reshaping Workflows Podcast: https://reshaping-workflows.simplecast.com/

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• AI PC Buyer’s Guide: Specs That Actually Matter (ft. Dell’s Logan Lawler)

  AI is changing what we need from our computers—but does that mean you need an "AI PC"? Corey and Grant sit down with Logan Lawler from Dell Technologies who leads Dell Pro Max AI solutions to decode what matters (and what doesn't) when buying or upgrading your next computer. From CPUs and GPUs to memory, NPUs, and traps to avoid, this episode is your practical roadmap for staying future-ready through the next five years of AI-powered work.Dell Pro Max Workstations: https://www.dell.com/en-us/plcp/lp/dell-pro-max-pcs LM Studio LIVE tutorial: https://www.youtube.com/watch?v=Ai3sBeBdA1Y Kiwix Wikipedia Download: https://en.wikipedia.org/wiki/KiwixOne Trainer: https://github.com/Nerogar/OneTrainerJawset Postshot: https://www.jawset.com/Subscribe to The Neuron newsletter: https://theneuron.aiCheck out the Reshaping Workflows Podcast: https://reshaping-workflows.simplecast.com/

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• NVIDIA’s Kari Briski on How to Use NVIDIA Nemotron Open-Source AI

  Learn how to use NVIDIA's Nemotron open-source AI models with VP Kari Briski. We cover what Nemotron is, minimum hardware specs, the difference between Nano/Super/Ultra tiers, when to choose local vs cloud AI, and practical deployment patterns for businesses. Perfect for anyone wanting to run powerful AI locally with full control and privacy.Resources mentioned:NVIDIA Nemotron Models: https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/Start prototyping for free: https://build.nvidia.com/explore/discoverSubscribe to The Neuron newsletter: https://theneuron.aiWatch more AI interviews: https://www.youtube.com/@TheNeuronAI

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• AI vs Google Search....behind the scenes

  AI search is fundamentally changing how people find information online, but it's also creating a Wild West of spam, manipulation, and brand impersonation. SEO expert Mark Williams-Cook joins us to discuss why he calls AI a "leaky bucket," how expired domains are gaming LLMs, and what the death of the link graph means for the future of search. We'll explore practical strategies for making your site visible to AI, the risks brands face from AI phishing, and whether SEO is truly dead or just evolving. Perfect for anyone who owns a website or runs a business.Subscribe to The Neuron newsletter: https://theneuron.aiGuest: Mark Williams-Cook - Director at Candour, Founder of AlsoAskedFind Mark on LinkedIn: https://www.linkedin.com/in/markseo Search with Candour podcast: https://withcandour.co.uk/podcast 

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• AI Inference: Why Speed Matters More Than You Think (with SambaNova's Kwasi Ankomah)

  Everyone's talking about the AI datacenter boom right now. Billion dollar deals here, hundred billion dollar deals there. Well, why do data centers matter? It turns out, AI inference (actually calling the AI and running it) is the hidden bottleneck slowing down every AI application you use (and new stuff yet to be released). In this episode, Kwasi Ankomah from SambaNova Systems explains why running AI models efficiently matters more than you think, how their revolutionary chip architecture delivers 700+ tokens per second, and why AI agents are about to make this problem 10x worse.💡 This episode is sponsored by Gladia's Solaria - the speech-to-text API built for real-world voice AI. With sub-270ms latency, 100+ languages supported, and 94% accuracy even in noisy environments, it's the backbone powering voice agents that actually work. Learn more at gladia.io/solaria🔗 Key Links:• SambaNova Cloud: https://cloud.sambanova.ai• Check out Solaria speech to text API: https://www.gladia.io/solaria• Subscribe to The Neuron newsletter: https://theneuron.ai🎯 What You'll Learn:• Why inference speed matters more than model size• How SambaNova runs massive models on 90% less power• Why AI agents use 10-20x more tokens• The best open source models right now• What to watch for in AI infrastructure➤ CHAPTERSTimecode - Chapter Title0:00 - Intro2:14 - What is AI Inference?3:19 - Why Inference is the Real Challenge9:18 - A message from our sponsor, Gladia Solaria10:16 - The 95% ROI Problem Discussion13:47 - SambaNova's Revolutionary Chip Architecture15:19 - Running DeepSeek's 670B Parameter Models18:11 - Developer Experience & Platform21:26 - AI Agents and the Token Explosion24:33 - Model Swapping and Cost Optimization31:30 - Energy Efficiency 10kW vs 100kW36:13 - Future of AI Models Bigger vs Smaller39:24 - Best Open Source Models Right Now46:01 - AI Infrastructure Next 12 Months47:09 - Agents as Infrastructure50:28 - Human-in-the-Loop and Trust52:55 - Closing and ResourcesArticle Written by: Grant HarveyHosted by: Corey Noles and Grant HarveyGuest: Kwasi AnkomahPublished by: Manique SantosEdited by: Adrian Vallinan

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