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
• 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/
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
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
➤ CHAPTERS
Timecode - Chapter Title
0:00 - Intro
2:14 - What is AI Inference?
3:19 - Why Inference is the Real Challenge
9:18 - A message from our sponsor, Gladia Solaria
10:16 - The 95% ROI Problem Discussion
13:47 - SambaNova's Revolutionary Chip Architecture
15:19 - Running DeepSeek's 670B Parameter Models
18:11 - Developer Experience & Platform
21:26 - AI Agents and the Token Explosion
24:33 - Model Swapping and Cost Optimization
31:30 - Energy Efficiency 10kW vs 100kW
36:13 - Future of AI Models Bigger vs Smaller
39:24 - Best Open Source Models Right Now
46:01 - AI Infrastructure Next 12 Months
47:09 - Agents as Infrastructure
50:28 - Human-in-the-Loop and Trust
52:55 - Closing and Resources
Article Written by: Grant Harvey
Hosted by: Corey Noles and Grant Harvey
Guest: Kwasi Ankomah
Published by: Manique Santos
Edited by: Adrian Vallinan
In this special hands-on episode, Corey Noles and Grant Harvey dive into OpenAI's Sora 2 - the AI video platform that's part TikTok, part meme generator, and 100% chaos. Watch as they navigate the new social media-style interface, create ridiculous videos featuring Sam Altman at a Berlin techno rave filled with clowns, and discover why Sam has become the "Tom from MySpace" of AI-generated content.The hosts explore Sora 2's key features including the viral "cameo" system that lets you loan your likeness to other creators, the remix functionality, and the surprisingly robust prompt editing capabilities. They demonstrate the platform's strengths (incredibly fast generation, social features, creative possibilities) and weaknesses (no timeline editor for scrubbing through footage, occasional voice mismatches, server delays during peak times).Key takeaways include practical prompting tips for better results, how to set up and optimize your cameo preferences, and why being descriptive in your prompts makes all the difference. Grant and Corey also discuss the broader implications: Is this OpenAI's answer to TikTok? How does this fit into the AI landscape where every major player now has a social platform? And most importantly - why is everyone making Sam Altman breakdance?Whether you're AI-curious or a seasoned prompt engineer, you'll learn how to navigate Sora 2's interface, avoid common pitfalls, and maybe even create your own viral AI video. Plus, find out why Corey's "realistic physique was not okay on Sora" and had to optimize his cameo settings with ChatGPT's help.➤ CHAPTERSTimecode - Chapter Title0:00 - Introduction: What is Sora 21:03 - Sam Altman is the Tom from MySpace of AI1:57 - Mobile App Tour & Social Features3:42 - Remix Feature: Editing Sam's Bedtime4:12 - The Secret to Better Prompting6:40 - Profile Features & Your Drafts8:44 - Understanding Cameos10:40 - How to Set Up Your Cameo13:00 - Optimizing Cameo Preferences with ChatGPT15:05 - Live Demo of Creating A Video18:25 - Using the Edit Feature20:09 - First Video Results23:32 - Fixing a Bad Video26:49 - Finding & Following People30:33 - Exploring Trending Videos32:50 - Why OpenAI Built a Social Platform35:34 - Training Data Implications38:00 - Voice Input and Pro Prompting Tips40:02 - The First AI-Native Social Media45:43 - Final ThoughtResources: - Sora 2 launch: https://openai.com/index/sora-2/- Download the app https://apps.apple.com/us/app/sora-by-openai/id6744034028- Sora app on the web: https://sora.chatgpt.com/exploreP.S: First comment gets an invite code. Grant has 4 atm :)
In this episode, we're joined by Ahmed El-Kishky, research lead at OpenAI, to discuss their historic victory at the International Collegiate Programming Contest (ICPC) where their AI system solved all 12 problems, beating every human team in the world finals.
We dive into how they combined GPT-5 with experimental reasoning models, the dramatic last-minute solve, and what this means for the future of programming and AI-assisted science.
Ahmed shares behind-the-scenes stories from Azerbaijan, explains how AI learns to test its own code, and discusses OpenAI's path from this win to automating scientific discovery over months and years.
Subscribe to The Neuron: https://theneuron.ai
WisprFlow: https://wisprflow.ai/neuron
OpenAI: https://openai.com
Microsoft AI CEO Mustafa Suleyman (co-founder of DeepMind) joins The Neuron to discuss his provocative essay on "Seemingly Conscious AI" and why machines that mimic consciousness pose unprecedented risks - even when they're not actually alive. We explore how 700 million people are already using AI as life coaches, Microsoft's massive $208B revenue strategy for AI, and exclusive features like Copilot Vision that can see everything you see in real-time.Key topics:• Why AI consciousness is an illusion - and why that's dangerous • Microsoft's 2 gigawatt datacenter expansion (2.5x Seattle's power usage)• MAI-1 Preview breaking into the top 10 models globally• The future of AI browsers and autonomous agents• Why granting AI rights could threaten humanitySubscribe to The Neuron newsletter (580,000+ readers): https://theneuron.aiResources mentioned:• Mustafa's essay "Seemingly Conscious AI Is Coming" https://mustafa-suleyman.ai/seemingly...• Try Copilot Vision: https://copilot.microsoft.com• Microsoft Edge AI features: https://www.microsoft.com/en-us/edge• MAI-1 Preview models: https://microsoft.ai/news/two-new-in-...Special thanks to today's sponsor, Wispr Flow: https://wisprflow.ai/neuron
Steve Brown's house burned down in a wildfire—and accidentally saved his life. When doctors missed his aggressive blood cancer for over a year, Steve built a swarm of AI agents that diagnosed it in minutes and helped design his treatment. Now he's turning that breakthrough into CureWise, a precision oncology platform helping cancer patients become better advocates. We explore agentic medicine, AI safety in healthcare, and how swarms of specialized AI agents are changing cancer care from diagnosis to treatment selection.
🔗 Get on the CureWise waitlist: https://curewise.com
📧 Subscribe to The Neuron newsletter: https://theneuron.ai
Illia Polosukhin, co-author of Attention Is All You Need and co-founder of NEAR Protocol, believes today's centralized AI ecosystem is broken. In this episode, he explains why User-Owned AI is the path forward — making systems private, verifiable, and aligned with users rather than corporations. We explore confidential computing, interoperable AI agents, and what a more sustainable AI future might really look like.
Subscribe to The Neuron newsletter: https://www.theneurondaily.com
Thomson Reuters just launched Deep Research—an AI system that doesn't just search legal databases, but plans and strategizes like an experienced attorney. In this episode, we explore how one of the world's largest legal research companies is using AI agents to transform how lawyers work, the challenges of building AI for high-stakes legal decisions, and what this means for the future of knowledge work. CTO Joel Hron shares insights from testing with 1,200+ customers, tackling hallucination risks in legal settings, and building professional-grade AI systems.
Resources mentioned: Thomson Reuters Deep Research: https://www.prnewswire.com/news-releases/thomson-reuters-launches-cocounsel-legal-transforming-legal-work-with-agentic-ai-and-deep-research-302521761.html
Westlaw & KeyCite: https://legal.thomsonreuters.com/en/products/westlaw/keycite
Claude Code for development: https://www.anthropic.com/claude-code
LinkedIn: Joel HronThomson Reuters Medium blog: https://medium.com/tr-labs-ml-engineering-blog
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Today we go deeper on Google's AI stack with Logan Kilpatrick: what AI Studio is great at, how it fits with Firebase/Colab/Gemini CLI/Jules, and where "thinking" models make sense. We cover real-world workflows—from game prototyping and screen-share assistance to legal/privacy basics and on-device micro-apps. Logan shares his insights on vibe coding, the future of AI development, and Google's open-source strategy with Gemma models.
Resources mentioned:
Google AI Studio: https://aistudio.google.com/
Gemini CLI: https://github.com/google-gemini/gemini-cli
Kaggle Game Arena: https://www.kaggle.com/competitions
Google Firebase: https://firebase.google.com/
Gemma models: https://ai.google.dev/gemma
Subscribe to The Neuron newsletter: https://theneuron.ai
What does it take to steer a 3,500-person company into the age of generative AI? ZoomInfo founder and CEO Henry Schuck joins us to unpack the company's journey from data powerhouse to AI-first GTM platform, the cultural shifts that enabled it, and the hard-won lessons any leader can borrow. We explore how they reduced teams from 26 to 2 people using AI agents, why 2/3 of employees now use AI daily, and the critical role of data infrastructure in AI success.
Subscribe to The Neuron newsletter: https://theneuron.ai
Learn more about ZoomInfo: https://www.zoominfo.com
What does "AI governance" really entail, and why does it matter right now? Credo AI founder Navrina Singh joins The Neuron to unpack risk buckets, Model Trust Scores, and the regulatory zig-zag between the EU and the U.S.—so you can move fast without crashing the car. We dive into open source safety, agent governance, and test OpenAI's brand new open source model live.
Learn more about AI governance: https://credo.ai/resources
Subscribe to The Neuron newsletter: https://theneuron.ai
A lot of people aren't sure whether they should just chat with an AI model, craft a structured prompt, spin up a project, or unleash a full-blown agent. In this episode, we break down the differences between these approaches and share a practical decision-making framework. We'll show how simple prompts excel for quick, isolated tasks, why structured prompts improve clarity and focus, when a project (workflow) is better for predictable, repeatable processes, and where autonomous agents shine for dynamic, open-ended problems. Along the way we'll demo real examples, share tips for avoiding unnecessary complexity, and help listeners decide which tool fits their use case.
Subscribe to The Neuron newsletter: https://theneuron.ai
In this hands-on episode, Corey and Grant attempt to build three different AI apps in one hour using Google AI Studio - with zero coding experience required. They create an Inbox Zero email organizer, a meme generator that roasts their photos, and a spontaneous adventure planner with interactive maps. Watch as they navigate errors, discover workarounds, and prove that anyone can build functional AI apps without being a developer.
Subscribe to The Neuron newsletter: https://theneuron.ai
Original article: https://www.theneuron.ai/newsletter/googles-ai-makes-you-apps
Read more: https://www.theneuron.ai/explainer-articles/how-to-build-an-ai-agent-part-one-testing-googles-firebase-studio-ai-agent-builder
Google AI Studio: https://aistudio.google.com
NoCodeMBA Tutorial: https://youtu.be/ANth52yyr9U?si=L9iT1-eYgB8nOfrg
Alternative builders mentioned:
- Lovable: https://lovable.dev
- Claude Artifacts: https://claude.ai
- V0 by Vercel: https://v0.dev
- Bolt.new: https://bolt.new
OpenAI just dropped ChatGPT Agent, and we test it LIVE for the first time. Watch as we put this "true" AI agent through its paces - from finding the perfect Gibson Les Paul to building competitive intelligence reports. We explore what makes this different from Zapier-style automation, demonstrate real-world use cases, and discuss why this might be the beginning of America's first super app. Plus: can it actually convince Corey's wife he needs a new guitar?
Subscribe to The Neuron newsletter: https://theneuron.ai
Original article: https://www.theneuron.ai/newsletter/openais-new-agent-is-here
Read More: https://www.theneuron.ai/explainer-articles/how-to-build-your-own-ai-agent-without-being-a-pro-coder
https://www.theneuron.ai/newsletter/operator-book-me-some-clients
ChatGPT Agent: https://openai.com/index/introducing-chatgpt-agent/
N8N: https://n8n.io/
Headlines scream that AI is "breaking the classroom," but is the story that simple? In this episode we explore the real cracks in today's education system, how AI sometimes widens them, and—more importantly—how the same technology could personalize learning, free teachers to teach, and shift schools from rote memorization to true mastery. We discuss the UCLA "CheatGPT" controversy, MIT's brain study, Alpha School's 2-hour learning model, and OpenAI's new $10M teacher training initiative.
Subscribe to The Neuron newsletter: https://theneuron.ai
WTF is going on with AI and education: https://www.theneuron.ai/explainer-articles/wtf-is-going-on-with-ai-and-education
One Useful Thing (Ethan Mollick) Post-apocalyptic education:
https://www.oneusefulthing.org/p/post-apocalyptic-education
MIT study: https://www.media.mit.edu/publications/your-brain-on-chatgpt/
Ethan Mollick again, “Against brain damage”:
https://www.oneusefulthing.org/p/against-brain-damage
OpenAI working with teachers union: https://openai.com/global-affairs/aft/
Make it Stick book: https://www.makeitstick.com/
Will AI turbocharge our output—or erode our standards in the rush to automate? In this episode, strategist Andreas Welsch (ex-SAP, author of The AI Leadership Handbook) joins Corey Noles and Grant Harvey to weigh the promise of higher productivity against the peril of slipping quality. Expect plain-language insights on agentic AI, governance that scales, and the human skills and metrics that reveal whether AI is lifting the bar—or lowering it.
Guest: Andreas Welsch LinkedIn: https://www.linkedin.com/in/andreasmwelsch
AI Leadership Handbook: https://www.aileadershiphandbook.com/order
What's the BUZZ? Podcast: https://www.intelligence-briefing.com/podcast
The AI MEMO Newsletter: https://www.intelligence-briefing.com/newsletter
Work with Andreas (AI strategy, workshops, training): https://www.intelligence-briefing.com
OWASP Top 10 LLMs: https://owasp.org/www-project-top-10-for-large-language-model-applications/
There are no new ideas in AI, only new datasets: https://blog.jxmo.io/p/there-are-no-new-ideas-in-ai-only
N8N to start automating your own tasks (not a promo; this is just the best tool for the job): https://n8n.io/ or https://n8n.io/workflows for template workflows to try.
The Neuron Newsletter: https://www.theneuron.ai
