Subvolts take Explore AI's dual edge: security risks and business pivots, plus the cost of AI coding. Apr 23, 2026 - Developers
- Learn about the economics of using LLMs for coding and potential security implications of new models.
- Business
- Understand unexpected market shifts like Allbirds' cloud pivot and AI's impact on cybersecurity.
The episode covers a new frontier model, an unexpected industry pivot, and a trend impacting AI coding economics.
The mythos of Mythos and Allbirds takes flight to the neocloud
Audio streams from Daniel Whitenack and Chris Benson. Your place is remembered on this device.
From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
On Practical AI, hosts Daniel Whitenack and Chris Benson discuss Anthropic's Mythos model and its potential cybersecurity implications. They also cover Allbirds' surprising pivot to becoming a neocloud provider and the rise of "tokenmaxxing," a gamified approach to AI-assisted coding.
This episode looks at a new AI model that could impact cybersecurity, for better or worse. It also covers a shoe company that is now offering cloud services, and a trend where people try to use AI to write code as much as possible, which can be expensive.
This episode offers insights into the dual nature of advanced AI models, from potential security threats with Anthropic's Mythos to unexpected business pivots like Allbirds entering the cloud market. It also touches on the economic realities of AI coding practices. This is for AI enthusiasts, developers, and business strategists tracking frontier model capabilities and industry shifts. It connects to current discussions around AI safety, new market entrants, and developer productivity tools.
- HostDaniel Whitenack
- HostChris Benson
- Episode Title: The mythos of Mythos and Allbirds takes flight to the neocloud
- Show: Practical AI
- Length: 45 minutes
- AI-boosted hacks: Could have dire consequences for banks
- Allbirds pivot: From shoe manufacturing to neocloud provider
- Tokenmaxxing: Gamification of writing code with maximum LLM usage
Chapters from the publisher ↗ · Transcript ↗ Key moments and transcript search come with a later piece.
In this Fully-Connected episode, Dan and Chris start with Anthropic's Mythos frontier model, parsing what is publicly known about its cybersecurity capabilities and projecting its possible implications from "We've been here before. 🙄" to "See ya, cybersecurity! 😱" It's the end of the world as we know it, and I feel fine. 🙃
Then they have fun with the craziest AI announcement of the year (except for the Mythos one of course). Allbirds pivots from shoe manufacturing 👟 to neocloud provider ☁️. No, we didn't see that one coming either! 🙈
They finish with rise of “tokenmaxxing” - the gamification 🎮 of writing code with maximum LLM usage. Incredibly profitable 💰 for commercial frontier model providers and insanely expensive 🤑 for the gamers. Better have 10X productivity just to avoid bankruptcy!
Featuring:
Links:
- Shares in Allbirds surge after maker of wool sneakers announces pivot to AI
- AI-boosted hacks with Anthropic’s Mythos could have dire consequences for banks
Upcoming Events:
- Register for upcoming webinars here!
- neocloud
- Chris Benson
- a new type of cloud computing service
- tokenmaxxing
- Daniel Whitenack
- using AI language models extensively to write code
44 minNarrative intelligence and the human advantage
WithReed Frerichs
47 minOpen models and the future of Physical AI with NVIDIA
WithMing-Yu Liu
49 minFrom AGENTS.md to Enterprise Deployment
WithNick Kuhn
Questions people ask
- What are the cybersecurity concerns with Anthropic's Mythos model?
- The episode discusses potential dire consequences for banks due to AI-boosted hacks enabled by Mythos.
- What is "tokenmaxxing"?
- It is the gamification of writing code with maximum LLM usage, which is profitable for model providers but expensive for users.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to Daniel Whitenack and Chris Benson.