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
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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.
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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.
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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?
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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.
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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
In Ep 3 we explore DeepSeek's open-source R-series models that claim GPT-4-level performance at a fraction of the cost. We unpack whether you can realistically run DeepSeek on a laptop, where it beats (and lags) OpenAI, and the serious security implications of using Chinese AI services. Listeners will learn the economics, hardware realities, and safe alternatives for using these powerful open-source models.
How to pick the best AI for what you actually need:
https://www.theneuron.ai/newsletter/how-to-pick-the-best-ai-model-for-what-you-actually-need
Artificial Analysis to compare top AI models:
https://artificialanalysis.ai/
Previous coverage of DeepSeek:
https://www.theneuron.ai/newsletter/deepseek-returns
https://www.theneuron.ai/newsletter/10-wild-deepseek-demos
https://www.theneuron.ai/explainer-articles/deepseek-r2-could-crush-ai-economics-with-97-lower-costs-than-gpt-4
U.S. Military allegations against DeepSeek:
https://www.reuters.com/world/china/deepseek-aids-chinas-military-evaded-export-controls-us-official-says-2025-06-23/
ChatGPT data privacy concerns:
https://www.theneuron.ai/explainer-articles/your-chatgpt-logs-are-no-longer-private-and-everyones-freaking-out
OpenAI’s response to NYT lawsuit demands:
https://openai.com/index/response-to-nyt-data-demands/
How to run Open source models:
Go to Hugging Face for the models: https://huggingface.co/
Use Ollama or LM Studio (our recommendation) to run the model locally:
https://ollama.com/
https://lmstudio.ai/
In Ep 2 we ask: "Panic or Progress? Reading Between the Lines of AI Safety Tests." We unpack the recent Claude Opus 4 "blackmail" test result, OpenAI's new transparency pledge, and why safety evaluations sometimes sound scarier than they are. Listeners will leave with a clear framework for interpreting headline-grabbing safety reports—and practical advice on when to worry, when to wait, and how to separate red flags from red herrings.
Will AI really erase half of all white-collar jobs, as Anthropic CEO Dario Amodei warns? We unpack the numbers, the hype, and the hidden opportunities, then hand the mic to Microsoft's Alexia Cambon for fresh research on how to thrive in an AI-saturated workday. Listeners will learn how roles are shifting, which skills stay scarce, and concrete moves to keep their careers future-proof.
After a long wait, Apple is finally in the game with AI. They’re launching Apple Intelligence with MacOS Sequoia and iOS 18. Pete breaks down some top features and how our devices will change moving forward.
Transcripts: https://www.theneuron.ai/podcast
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The US government is opening up antitrust inquiries into the likes of Nvidia, OpenAI and Microsoft. Who's leading the charge, and what could they be looking at?
Transcripts: https://www.theneuron.ai/podcast
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Former OpenAI researcher Leopold Aschenbrenner has released a series of essays talking about how he sees AI playing out and what we should all do about it. Pete digs into his extremely impressive background and his arguments around why we’re about to get AGI.
Transcripts: https://www.theneuron.ai/podcast
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Nvidia CEO Jensen Huang has announced their next line of products called Rubin as Nvidia races to build what he calls “intelligence factories”. Pete breaks down the big picture and what it all means for us.
Transcripts: https://www.theneuron.ai/podcast
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Anthropic did something no other AI lab has done: cracked the code on what’s happening while an AI model is working. Pete breaks down the latest research and what it means for steering AI models.
Transcripts: https://www.theneuron.ai/podcast
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Microsoft’s launch event for Copilot+ PCs was only available to press and content creators. Pete’s taking you through the launch, what stands out and what to look for next.
Transcripts: https://www.theneuron.ai/podcast
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OpenAI Chief Scientist Ilya Sutskever and Head of Alignment Jan Leike have left the company, with the latter citing concerns around OpenAI’s approach to building safe AI systems. Pete gives you the 101 on the debate at hand, the history of this debate at OpenAI and what to expect moving forward.
Transcripts: https://www.theneuron.ai/podcast
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Google I/O 2024 was a laundry list of AI launches, with Google trying their best to position themselves as the leading company in AI. Pete breaks down the key parts of their long keynotes and how to understand Google’s approach to AI moving forward.
Transcripts: https://www.theneuron.ai/podcast
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In a surprise launch, OpenAI dropped GPT-4 Omni, their new leading model. They also made a bunch of paid features in ChatGPT free and announced a new desktop app. Pete breaks down what you should know and what this says about AI.
Transcripts: https://www.theneuron.ai/podcast
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OpenAI releases its Model Spec, which tries to define how AI models should behave. Some highlights and examples, along with some more existential questions.
Next, you know what Gen Z ought to really love about AI? Customer support. The patterns in their behavior and some unexpected ways that AI is impacting the field.
Finally, we’ve heard so many times that OpenAI is partnering with media companies. Now, we finally know what’s behind those deals.
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Researchers designed AI agents that simulated doctors and patients, and they found surprisingly good results from the experiment. Pete breaks down how we got here and what it all means.
Transcripts: https://www.theneuron.ai/podcast
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