The skinny on what's happening in AI - straight from the previous live session:

Highlights

🚀 OpenAI Releases GPT-5 Codex for Smarter Coding

Discussed at [00:01:11]

OpenAI dropped GPT-5 Codex - a version of GPT-5 optimised for "agentic coding" that adapts how much it thinks based on task complexity. Quick fixes get snappy responses, complex refactors get deeper thinking. Now available in Codex CLI, IDE extensions, web, mobile, and GitHub code reviews.

Kyle's take: 

This is important even if you don’t code. This is the first model that (apparently) actually matches effort to task size. Usually AI gives you War and Peace when you ask for a comma change, or rushes through complex architecture decisions. It basically gives equal weight to your requests regardless of the actual size.

This dynamic thinking could be game-changing - imagine if regular ChatGPT knew when to shut up versus when to really dig in. If they can crack this for coding, it'll come to regular models next.

Source: OpenAI blog announcement

💰 Google Joins the $3 Trillion Club

Discussed at [00:23:02]

Alphabet (Google’s parent, basically a holding company) hit $3 trillion market cap yesterday, becoming only the fourth company ever to reach this milestone (after Apple, Microsoft, and Nvidia). The surge came after a favourable antitrust ruling - they won't have to divest their Chrome browser. They also announced £5 billion investment in UK AI infrastructure, including funding for DeepMind.

Kyle's take: Google's in the strongest position to win the AI race - they have cash, products, users, and brilliant researchers like Demis Hassabis. Sorry, SIR Demis Hassabis!

BUT don’t forget that their $350 billion/annum revenue comes from search ads, which AI is actively destroying. They need to cannibalise their own cash cow to survive. Doable but going to be require turning a very big ship around.

Source: Reuters

📊 How 700 Million People Actually Use ChatGPT

Discussed at [00:10:28]

New OpenAI research paper reveals ChatGPT usage patterns: 73% of usage is now personal (not work), up from 53% a year ago. Top uses are practical guidance (29%), seeking information (25%), and writing (25%). Coding is just 4.2%. Early users were 80% male, now it's slightly female-skewed.

Here’s the full paper, direct link: Research Paper

Kyle's take: The gender flip is huge - from tech bros to mainstream in two years. That + the shift to personal use to 73% are the the real story here. People aren't just using this as a Google replacement anymore - they're having actual conversations, getting advice, working through problems. That's potentially terrible news for Google's ad business!

Also fascinating that coding is only 4% despite all the hype. Most people are using AI for everyday life stuff, not building the next unicorn. We are in a small subset of users!

Source: "How People Use ChatGPT" blog / the original paper

Member Question from Shakes: "I'm building this project using GPT-5, completed the PRD but ChatGPT can't handle my prompt. How can I work around it?"

Kyle's response: If ChatGPT's choking on your prompt, try Claude - it's generally better at coding (though GPT-5 Codex might change that). But honestly, if you're building something and don't have much coding experience, use a Vibe coding tool like Lovable, Bolt, or Replit. They handle all the heavy lifting - database setup, deployment, everything. ChatGPT gives you code but you still need to know what to do with it. Also try breaking down your PRD more - use one chat for advisory ("help me break this down") and another for actual building.

I also wanted to drop in this super helpful guide:

And here’s a nice full image version!

This question was discussed at [00:18:44] during the live session.

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