It's Only Logical

Dara Fitzgerald and Matthew Hooson

It's Only Logical is a podcast about AI, the things we do with it, and the questions it leaves us with. Dara Fitzgerald and Matthew Hooson compare notes on what they're trying, what works and what's getting on their nerves. Expect honest opinions, practical experiences and the occasional tangent as they work through new developments and what they mean for work and everyday life. For anyone using AI, wondering where it's heading, or occasionally asking why it needed quite so many words.

Episodes

  1. 3d ago

    AI: A Bubble with Benefits

    Six days after Matthew predicted a major hack, Binance lost more than $6 billion in crypto. Dara plays the tape. Matthew would like some credit, although he denies any involvement. Then it’s back to the less reliable business of predicting AI. Dara and Matthew compare the models they’re using, debate how much more intelligence they actually need, and follow the money behind the latest releases. Can Claude be worth every penny to its users while Anthropic is worth less than investors think? They get into the IPO filing, vast compute commitments, and what AI answers could do to Google’s search ads. Along the way, Dara gives Codex control of his phone, Matthew builds a small app for his family, and both hosts try to work out which improvements make a difference outside a benchmark. They close with bets on the next Claude and OpenAI releases and whether Dot will reach Europe by the next episode. Follow It’s Only Logical in your podcast app, or subscribe on YouTube, for the next episode. Chapters 00:00 It’s Only Logical 00:15 Matthew called the hack. Play the tape. 06:35 The fizz check and when to walk away from a task 12:52 Giving Codex control of a phone 17:50 OpenAI’s 28 days of updates and banked resets 24:09 Could Claude change without the label changing? 27:39 GPT-6.1 Terra and a benchmark worth sticking with 34:37 Gemini 4 Carbon, Argon and Google’s model names 38:32 What AI answers do to Google’s search ads 43:16 Anthropic’s IPO and the $895 billion compute bet 49:00 How much more intelligence do we actually need? 54:04 What Anthropic says about AI improving AI 58:25 What does the average person want AI to do? 1:02:17 HackerTube and software built for one family 1:06:59 Predictions for Claude, OpenAI and Dot in Europe 1:10:42 A dedication to Patrick Stewart Links and on-air follow-ups - Matthew’s prediction and the FBI account: https://youtu.be/AKXzS6CfLso?t=5502 https://www.fbi.gov/investigate/cyber/alerts/2026/north-korea-responsible-for-6-billion-binance-attack - Claude rumour: this likely source discusses possible stronger-model routing under Fable 5.1; Dara recalled possibly Opus 5.5. The underlying model is unconfirmed. https://www.youtube.com/watch?v=Tyoyvspkcfc&t=18s https://lesscarbs.net/news/anthropic-fable-rumors-arena-november-briefing/ - Artificial Analysis: live scoreboard/methodology, not recording-date scores (v5.0 then; v5.0.1 now). https://artificialanalysis.ai/leaderboards/models https://artificialanalysis.ai/methodology/intelligence-benchmarking - Likely tracker mentioned: BridgeBench Nerf Bench. Opus 5.5’s 105.8% (16 October) is within 90–110% normal variance. Its score combines correctness/efficiency, not proof of greater intelligence. https://www.bridgebench.ai/nerf-bench https://www.bridgebench.ai/blog/the-methodology-of-nerfbench - Google: Q3 2026 Search & other ad revenue grew 12% year on year; all Google advertising grew 10.6%. https://www.sec.gov/Archives/edgar/data/1652044/000165204426000080/googexhibit991q32026.htm - Anthropic: $895.4bn commitments/leases, mostly compute/infrastructure; $69.8bn due in the 12 months after 30 September 2026. https://www.sec.gov/Archives/edgar/data/2130357/000162828026068676/anthropicpbc-sx1ax1.htm#:~:text=an%20aggregate%20committed%20spend - HackerTube: Karpathy’s project and write-up. https://hackertube.org/ https://karpathy.bearblog.dev/hacker-tube/ Production: AI-generated intro voice and theme music. Watch this episode on YouTube: https://youtu.be/irJLTdh3gPc

  2. Oct 28

    Bots, Bugs and Business Models

    What happens to software subscriptions when you can build exactly what you need? Dara and Matthew talk about AI making custom tools, websites and creative work more accessible, and what that means for the businesses that sell them. From replacing a WordPress site to the small-business “AI slop” argument, they weigh the freedom to build your own against the time, judgement and maintenance it still takes. They also revisit their predictions, compare the latest AI assistants and model benchmarks, and discuss AI’s role in finding security holes that were already there. Plus the odd tangent and dangerously high fizz. Recorded 23 October 2026. Chapters:00:00 Show intro00:15 Back, predictions and preparation07:21 The fizz reading12:11 What do we want from an AI assistant?17:29 Claude Duet and regional rollouts19:37 New models and the benchmark problem26:01 Google’s naming problem32:29 Customising Claude Code38:05 OpenAI models on Google Cloud41:14 Dashboards, context and conflicting answers45:01 AI and a week of security vulnerabilities01:00:02 Software subscriptions and the Photoshop clone01:05:10 Replacing WordPress and building the podcast site01:11:38 Coding, images and content in one place01:13:41 Small businesses and the AI slop argument01:17:15 Stock images, freelancers and changing business models01:23:48 Language learning and personalised tools01:29:32 Predictions for the next episode01:33:25 Outro Links and resources:Claude Mods: https://github.com/anthropics/claude-code/issues/91870Feature overview and demos for customising Claude Code.Cloudflare security-audit skill: usage and example prompts: https://github.com/cloudflare/security-audit-skill#usageCloudflare’s own instructions and prompts for auditing a codebase.Grok Bot FAQ: https://docs.x.ai/grok-bot/faqThe personal assistant Matthew uses for household projects, reminders and email.Claude Dashboards: https://claude.com/resources/articles/dashboards-and-motionThe interactive dashboard feature discussed in the episode.Descript MCP: https://www.descript.com/mcpThe integration Dara uses for the podcast editing workflow.OpenAI models on Google Cloud: https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-brings-openai-models-to-customersThe announcement behind the cloud discussion.Google Knowledge Catalog: https://cloud.google.com/blog/products/data-analytics/knowledge-catalog-self-learning-context-enrichment-for-ai-agents/Shared business definitions and context for AI agents.Cloudflare’s PHP2Shell protection guide: https://blog.cloudflare.com/php-vulnerabilities-waf-protection/Background and protection guidance for the PHP vulnerabilities discussed.Getty Images restructuring filing: https://www.sec.gov/Archives/edgar/data/1898496/000121390026112265/ea0309581-8k_getty.htmThe primary filing for the restructuring discussed in the episode.It’s Only Logical website: https://onlylogicalpod.com/Our AI-built podcast website, discussed in the episode. Production: AI-generated intro voice and theme music. Watch: https://youtu.be/AKXzS6CfLso

  3. Oct 14

    Just one more AI experiment

    There’s always one more thing to try. Dara and Matthew compare the promise of AI assistants with their own experiments in making them useful. They talk through agents, Paperclip, cloud environments, model routing and T3 Code, alongside subscription limits, context handovers and the temptation to keep tinkering. When does one quick test become a fragile system, and when is it time to stop? Plus the odd tangent, an experiment graveyard and a fizz update. Recorded 5 October 2026. Product availability, model names and limits reflect the conversation at recording. Watch: https://youtu.be/aiq6JmURXrYChapters: 00:00 Show intro00:15 Episode 2 and the name01:11 Planning the episode and grinding axes03:17 Dots, regional rollouts and the promised assistant10:19 Coding AI and everyday knowledge work15:57 Keeping up with AI news17:23 Compaction, models and subscription limits28:51 Clear answers and human oversight36:33 Predicting the next AI releases41:14 Always-on agents and the practical fallback01:00:34 Multiple providers, CLIProxyAPI and T3 Code01:05:46 Local models and routing01:09:42 Context and handovers between providers01:13:47 Tinkering and the experiment graveyard01:17:26 The fizz reading and Ziggy01:20:34 Outro Resources discussed: - Paperclip: https://github.com/paperclipai/paperclip- OpenClaw: https://openclaw.ai/- T3 Code: https://github.com/pingdotgg/t3code- CLIProxyAPI: https://github.com/router-for-me/CLIProxyAPI- OpenCode: https://opencode.ai/- OpenRouter: https://openrouter.ai/ Production: AI-generated intro voice and theme music.

  4. Oct 2

    OpenAI DevDay: dots, spaces and lots “coming soon”

    Dara Fitzgerald and Matthew Hooson launch It's Only Logical with their first reactions to OpenAI DevDay, recorded straight after the keynote on 29 September 2026. From dots and GPT Space to new models, pricing and Codex in the cloud, we compare what looked useful, what still felt unfinished and where we want to experiment next. We also get into voice assistants, model routing, meeting transcription and the growing AI platform race — with a few air fryer tangents along the way. These are our reactions on the night; availability and product details may have changed since recording. In this episode: - Dots, GPT Space and collaborative AI assistants - GPT-6.1 Sol, pricing and usage limits - The Decisions API and model routing - Codex in the cloud, sign-in and apps - Meeting transcription and local voice tools - Google, AI hardware and privacy Chapters 00:00 Intro 00:15 A new podcast (and an air fryer tangent) 04:14 OpenAI DevDay: first reactions 08:51 Dots: always-on AI assistants 13:33 Voice assistants and “let me check” 16:15 GPT Space and collaborative agents 27:20 GPT-6.1 Sol, the model race and pricing 37:26 The Decisions API and model routing 43:13 Codex in the cloud 47:04 Sign in with ChatGPT and apps 50:38 Meetings, Wispr Flow and local transcription 55:00 OpenAI Marketplace 57:16 Google and the AI arms race 1:02:00 AI hardware, privacy and AR 1:07:03 Wrapping up Mentioned in this episode: OpenAI DevDay recap: https://openai.com/index/devday-2026-recap/ Wispr Flow: https://wisprflow.ai/ Hosted by Dara Fitzgerald and Matthew Hooson. Contact: onlylogicalpod@gmail.com Watch on YouTube: https://www.youtube.com/@onlylogicalpod Production note: the intro narration and theme music were generated using AI. The episode conversation is Dara and Matthew's recorded discussion.

  • 4 Episodes

About

It's Only Logical is a podcast about AI, the things we do with it, and the questions it leaves us with. Dara Fitzgerald and Matthew Hooson compare notes on what they're trying, what works and what's getting on their nerves. Expect honest opinions, practical experiences and the occasional tangent as they work through new developments and what they mean for work and everyday life. For anyone using AI, wondering where it's heading, or occasionally asking why it needed quite so many words.

Information

  • Creator
    Dara Fitzgerald and Matthew Hooson
  • Years Active
    2026
  • Episodes
    4
  • Rating
    Explicit
  • Copyright
    © Dara Fitzgerald and Matthew Hooson
  • Show Website
    It's Only Logical