ZERO SHOT - AI & Business. Anti-Hype.
Which AI model is actually worth your time and money in 2026, and how do you decide? In Episode 19 of Zero Shot [https://zeroshot.com.au/] , James Gauci [https://www.linkedin.com/in/jamesrgauci/] and Llew Jury [https://www.linkedin.com/in/llewjury/] do the episode the audience has been asking for: a real, no-benchmarks, no-lab-scores breakdown of the four major frontier AI models. This is not a comparison of leaderboard scores or press releases. It is a practical, values-informed assessment of ChatGPT, Claude, Gemini, and Grok from two people who have all four open on their desktops every day and use them across client work, internal builds, and AI training. The goal is simple: help you make a smarter model decision for your business. Key Highlights * ChatGPT built the market but governance controversies have changed perceptions * Anthropic's run rate now exceeds OpenAI's at thirty billion US annually * Google invented the transformer architecture and remains a far from dark horse * Grok has the fewest guardrails and the most governance risk for Australian businesses * The model is rarely the differentiator; the prompt and the ecosystem are * AI tourism, jumping between models without committing, is a real productivity drain * Your conversation data is stored for thirty days and accessible without a warrant in the US * Choosing a model is a vendor decision, not just a tool decision Tools and Frameworks Mentioned * Granola [https://www.granola.ai] - AI meeting notes tool that records audio locally on your device rather than sending a visible bot into the meeting. Raised a $125 million Series C. * AWS Bedrock Nova Models [https://aws.amazon.com/bedrock] - Amazon's vertically integrated foundation models, referenced for strong agentic workflow performance and on-shore Australian inference options for regulated industries. * LLM Council [https://llmcouncil.com] - A lightweight tool that lets you query multiple AI models simultaneously via plugged-in APIs and compare responses side by side. * Gemma 4 (Google DeepMind) [https://deepmind.google/technologies/gemma] - Google's open source model series, noted as the best US open source model currently available and usable on consumer hardware. * Kimi K2 (Moonshot AI) [https://www.moonshot.ai] - A low-cost thinking model flagged as a practical alternative for high-volume, repetitive workflow tasks where frontier model power is unnecessary. Connect with the Hosts: * James Gauci: [https://www.linkedin.com/in/jamesrgauci/] CEO of Cadent. * Llew Jury: [https://www.linkedin.com/in/llewjury/] Managing Director of Advancer at the AI Agency. * Zero Shot: [https://zeroshot.com.au/] Follow us on LinkedIn for clarity in a complex landscape. 🤠 Sponsor: This episode is brought to you by Prompt Cowboy [https://www.promptcowboy.ai/], the agentic prompting tool that helps teams build structured, precise prompts before they hit whichever model they are using. Head to promptcowboy.ai and stop leaving results on the table. Produced by Yennia La Rotta [https://www.linkedin.com/in/zarich-la-rotta/].⚡
23 episodios
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