In this episode, we sit down with Scott Guthrie, EVP of Microsoft's Cloud + AI Group, to explore the architecture behind Azure's AI Superfactory. Scott oversees Microsoft's hyperscale cloud computing solutions including Azure, generative AI platforms, and next-generation infrastructure. We dive into Microsoft's strategic approach to AI datacenter buildout, the innovative Fairwater architecture with its 120,000+ fiber miles of AI WAN backbone, and how Microsoft is balancing performance, sustainability, and cost at planet-scale. From dense GPU clusters drawing 140kW per rack to closed-loop liquid cooling systems, Scott reveals the engineering trade-offs behind infrastructure that powers frontier AI models with trillions of parameters. Whether you're an enterprise leader planning AI adoption or a developer curious about cloud architecture, you'll leave understanding how Microsoft is executing on next-gen infrastructure that transforms global challenges into opportunities.

Subscribe to The Neuron newsletter: https://theneuron.ai

Retool CEO David Hsu reveals that 48% of non-engineers are now shipping software. We explore how AI is democratizing software development, why engineers might stop coding internal apps within 18-24 months, and what this means for the future of work. David shares insights from Retool's survey of 10,000+ companies, Retool’s new AppGen program, and how "tomorrow's developers" are using AI to build real production applications on enterprise data.

Subscribe to The Neuron newsletter: https://theneuron.ai

Learn more about Retool: https://retool.com

Behind every AI response, there's an invisible army of humans who trained it. In this episode, we talk with Casper Elliott from Invisible Technologies - the company that's trained 80% of the world's top AI models. We explore how models actually learn, why data quality matters more than quantity, what enterprises get wrong about AI deployment, and whether AI will really automate everyone's jobs. Casper shares insights from working with frontier labs, reveals the surprising skills that make great AI trainers (hint: League of Legends helps), and explains why the future needs more humans, not fewer.

Subscribe to The Neuron newsletter: https://theneuron.ai

Learn more about Invisible Technologies: https://invisibletech.ai

Computers can see and hear, but they've never been able to smell—until now. In this episode, we sit down with Alex Wiltschko, Founder & CEO of Osmo, to explore how his company is using AI to digitize scent. Alex walks us through how they "teleported" the smell of a fresh plum across their lab, created the world's first AI-designed fragrance molecules, and built Osmo Studio—a platform that lets anyone design custom fragrances in one week instead of two years. We discuss the read/map/write framework for digitizing smell, why scent is tied directly to memory and emotion, and how this technology could eventually detect diseases like cancer and Parkinson's earlier than any current diagnostic. Plus: what does the Museum of Pop Culture smell like, and can AI really create a fragrance from a Bon Iver song?

Links:

Osmo: https://www.osmo.ai

Scent Teleportation Update: https://www.osmo.ai/blog/update-scent-teleportation-we-did-it

Osmo Studio: https://osmostudios.ai/

Subscribe to The Neuron newsletter: https://theneuron.ai

Check out the sponsor of this video, Flora: https://dub.florafauna.ai/neuronSubscribe to The Neuron newsletter: https://theneuron.aiHosted by: Corey Noles and Grant HarveyGuest: Alex Wiltschko (Founder & CEO, Osmo)Published by: Manique SantosEdited by: Kush Felisilda

Ever wondered who's actually teaching ChatGPT and Claude how to think?

Meet Caspar Eliot from Invisible Technologies - the company behind 80% of the world's top AI model training. In this eye-opening conversation, we uncover the massive human workforce behind "artificial" intelligence, why your League of Legends skills might land you an AI job, and the shocking mistakes enterprises make when deploying AI.

We discuss:

• How AI models really learn (hint: it's not just scraping the internet)

• Why data quality beats data quantity every time

• The Charlotte Hornets' revolutionary AI scouting system

• Whether robots will actually take your job (spoiler: probably not)

• The $14.8 billion Scale AI valuation and what it means

• Why Mark Andreessen thinks VCs won't be automated

Plus: Caspar reveals the #1 mistake companies make with AI deployment and why "AI-ifying" your current process is doomed to fail.

Subscribe to The Neuron newsletter: https://theneuron.ai

Connect with Caspar on LinkedIn: https://uk.linkedin.com/in/caspar-eliot-46b9a55a

Learn more about Invisible Technologies: https://invisibletech.ai?utm_source=neuron&utm_medium=podcast

Please check out the sponsor of this video, Warp.dev: https://warp.dev

So who is Invisible Technologies? In four words: they make AI work. Their platform cleans, labels, and structures company data so it’s ready for AI. It adapts models to each business and adds human expertise when needed — the same approach used to improve models for over 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere.Their successes span industries from supply chain automation for Swiss Gear, to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. And get this: Invisible has been profitable for over half a decade, was ranked #2 fastest-growing AI company in 2024, and recently raised $100M to advance its platform technology.

Check them out at Invisible Technologies: https://invisibletech.ai?utm_source=neuron&utm_medium=podcast

From Adobe Max 2025 in Los Angeles, Corey and Grant sit down with Ely Greenfield, Adobe's Chief Technology Officer, to explore the philosophy behind Adobe's practical AI strategy.

Discover why the crowd went wild over AI renaming layers, how Adobe thinks about "additive not subtractive" AI, and where creative tools are heading next. Ely shares Adobe's vision for making AI a creative partner that enhances rather than replaces human artistry, and explains why the best AI features are often the most boring ones.

Topics covered include: the Photoshop AI Assistant, Harmonize for instant compositing, auto-masking in Premiere Pro, the Express conversational workflow, and Adobe's unique approach to balancing automation with creative control.

Read our Adobe Max coverage:

• Adobe Reinvents Creative Suite with AI

• Day 2 Keynote Recap

• NVIDIA's Beyond-GPUs Strategy

This episode was made possible by our sponsor, Clutch: https://clutch.co/resources/how-smbs-see-ai-crawlers?source=theneuron&utm_medium=referral&utm_campaign=newsletter_10-14-2025

Related resources:

• Adobe Max 2025 announcements: https://www.theneuron.ai/explainer-articles/adobe-goes-all-in-on-ai-max-2025-unleashes-creative-ai-arsenal-across-every-tool

• Day 2 Keynote and Sneaks recap: https://www.theneuron.ai/explainer-articles/adobe-max-day-2-the-storyteller-is-still-king-but-ai-is-their-new-superpower

• Check out Adobe Firefly: https://firefly.adobe.com/

• Project Graph demo: https://www.youtube.com/live/wQza2t9Qs64?t=10409s

Make sure to check out Clutch's new report on AI crawling for SMBS! https://clutch.co/resources/how-smbs-see-ai-crawlers?source=theneuron&utm_medium=referral&utm_campaign=newsletter_10-14-2025

Subscribe to The Neuron newsletter for daily AI news: https://theneuron.ai

Original article: https://www.theneuron.ai/explainer-articles/adobe-goes-all-in-on-ai-max-2025-unleashes-creative-ai-arsenal-across-every-tool

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/OneTrainer

• Jawset Postshot: https://www.jawset.com/

• Subscribe to The Neuron newsletter: https://theneuron.ai

• Check out the Reshaping Workflows Podcast: https://reshaping-workflows.simplecast.com/

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/OneTrainer

Jawset Postshot: https://www.jawset.com/

Subscribe to The Neuron newsletter: https://theneuron.ai

Check out the Reshaping Workflows Podcast: https://reshaping-workflows.simplecast.com/

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/discover

Subscribe to The Neuron newsletter: https://theneuron.ai

Watch more AI interviews: https://www.youtube.com/@TheNeuronAI

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.ai

Guest: Mark Williams-Cook - Director at Candour, Founder of AlsoAsked

Find Mark on LinkedIn: https://www.linkedin.com/in/markseo 

Search with Candour podcast: https://withcandour.co.uk/podcast