AI Psychosis

Muse Wonder vs Gemini 4 Argon, AI benchmarks, Omarchy, Spacefast and AI agents: Meta's Muse Wonder and Google's Gemini 4 Argon launched a day apart, both with big benchmark claims. Muse vs Argon: is it all hype?

In episode 3, Thomas Bekkers and Rudy Faile share first impressions of Meta's Muse Wonder for coding, talk about why self-reported benchmarks tell you little until you've used a model for a few days, and ask whether the frontier labs are converging and whether open-weight models can keep up. We get into faster tokens, usage limits, and letting agents work overnight. Then we look at Omarchy, DHH's Linux-based operating system, and the new Familiar plugin that makes it feel more like a Mac, plus why Linux suits AI agents. We close on AI-generated music, Spacefast (Automattic's new product for putting anything online straight from your agent), why we stop using software our agents can't use, and the faster Plex app Rudy built for his TV in 45 minutes by talking to an agent.

Benchmark results discussed are the companies' own claims. Rudy works at Automattic, which makes Spacefast.

AI PSYCHOSIS | Business Meets Tech
Conversations about what we're building, what's useful, and what's overhyped.

YOUR HOSTS
Thomas Bekkers (@thomasbekkers) — Serial Entrepreneur and AI Integrations Specialist.
Rudy Faile — Head of Security, Automattic.

CHAPTERS
00:00 Gemini 4 Argon and Muse Wonder drop a day apart
00:54 First impressions of Muse Wonder for coding
03:07 Can you trust self-reported benchmarks?
05:05 Codex, Opus 5.5 and the models we actually use
07:01 Faster tokens are the next frontier
08:14 Letting agents work while we sleep
09:32 Are the frontier models converging?
11:17 Can open-weight models keep up?
13:24 Omarchy goes Familiar: Linux that looks like a Mac
14:59 Publishing iOS apps without a Mac
15:57 How we use Omarchy every day
17:07 Why AI agents feel at home on Linux
19:33 AI-generated music is getting good
21:33 Spacefast: put anything online with your agent
26:14 No API or MCP? We stop using it
27:54 Rudy rebuilt his TV's Plex app in 45 minutes
29:44 We're still early: just start talking to agents

Watch on YouTube: https://youtu.be/nRGyor1nsKU

Claude Code, CLAUDE.md, AGENTS.md and AI agent setups: Are we overbuilding our AI agent setups?

In episode 2, Thomas Bekkers and Rudy Faile talk about why lean CLAUDE.md and AGENTS.md files and plain coworker-style prompting are replacing bloated agent setups, and what still belongs in skills. We compare Handy and Wispr Flow, ask whether AI reverse engineering is putting closed-source software and SaaS at risk, and discuss Elon Musk's announcement that Grokbot will route tasks to the best backend model, including Opus 5.5 (announced; the rollout is unverified). We also look at Kindlefall, the action RPG Rudy built by talking to an AI agent while he played it, and we close on P(doom) versus P(gloom).

AI PSYCHOSIS | Business Meets Tech
Conversations about what we're building, what's useful, and what's overhyped.

YOUR HOSTS
Thomas Bekkers (@thomasbekkers) — Serial Entrepreneur and AI Integrations Specialist.
Rudy Faile — Head of Security, Automattic.

CHAPTERS
00:00 Are we overbuilding our agent setups?
03:19 Talk to your agent like a coworker
04:58 What still belongs in AGENTS.md and skills
08:10 Handy vs. Wispr Flow
09:54 Is closed source software dead?
12:56 Open source the app, sell the cloud
14:32 Tiny teams, billion-dollar companies
15:33 Rewriting software in Rust with AI
16:53 Grokbot and Elon's model routing
20:11 AI agents in Slack at work
21:49 Rudy built a game by talking to AI
27:15 Can one person make a AAA game?
29:08 P(doom) or P(gloom)?

Watch on YouTube: https://youtu.be/53Dpji7xuQY

AI coding, junior developers and AI agents: AI can write the code. So what's the developer's job now?

In our first episode, Thomas Bekkers and Rudy Faile talk about building with AI agents, the future of junior developers, and whether a computer science degree still makes sense. We compare the tools we actually use, voice workflows, AI hype, and the trade-off between giving agents more access and keeping control.

AI PSYCHOSIS | Business Meets Tech
Conversations about what we're building, what's useful, and what's overhyped.

YOUR HOSTS
Thomas Bekkers (@thomasbekkers) — Serial Entrepreneur and AI Integrations Specialist.
Rudy Faile — Head of Security, Automattic.

CHAPTERS
00:00 Welcome to AI Psychosis
00:15 How we got hooked on building with AI
03:46 AI hype versus real use cases
06:27 AI agents for security research
10:33 From AI skepticism to daily use
15:28 Linux, open source, and customizing your computer
18:38 Faster AI and the human bottleneck
23:47 Voice workflows: stop typing everything
25:44 What happens when AI writes the code?
30:37 Junior developers, soft skills, and college
35:20 AI models versus agent tools
40:09 Running specialized agents in a team
47:44 Letting an AI assistant handle the inbox
53:51 Learning to judge AI output
57:21 Goal mode, planning, and keeping agents working
01:04:47 How much access should your AI have?
01:09:41 Staying healthy while building
01:11:35 Just start building

Watch on YouTube: https://youtu.be/csPfBcHsHik