The Neuron: AI Explained

• We Go Hands-On with OpenAI's New ChatGPT Agent LIVE

  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.aiOriginal article: https://www.theneuron.ai/newsletter/openais-new-agent-is-hereRead More: https://www.theneuron.ai/explainer-articles/how-to-build-your-own-ai-agent-without-being-a-pro-coderhttps://www.theneuron.ai/newsletter/operator-book-me-some-clientsChatGPT Agent: https://openai.com/index/introducing-chatgpt-agent/ N8N: https://n8n.io/

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• How AI Could Solve Education (Instead of Breaking It)

  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.aiWTF is going on with AI and education: https://www.theneuron.ai/explainer-articles/wtf-is-going-on-with-ai-and-educationOne 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/

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• Will AI Supercharge Our Output or Sink Our Standards?

  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/andreasmwelschAI 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/newsletterWork 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

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• Will AI Supercharge Our Output or Sink Our Standards?

  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/andreasmwelschAI 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/newsletterWork 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

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• Can Your Laptop Handle DeepSeek, or Do You Need A Supercomputer?

  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-needArtificial 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-demoshttps://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/

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