The mythos of Mythos and Allbirds takes flight to the neocloud
Episode
45 min
Read time
2 min
Topics
Productivity, Fundraising & VC, Artificial Intelligence
AI-Generated Summary
Key Takeaways
- ✓NeoCloud Infrastructure: AI-native cloud providers like CoreWeave, Together AI, and Lambda Labs build GPU-first infrastructure specifically for training and inference workloads, not general computing. This specialization exists because GPU supply is constrained within hyperscalers like AWS, and AI workloads require massive multi-node data movement patterns that general-purpose cloud architecture does not efficiently support.
- ✓Allbirds Capital Reallocation: Allbirds sold its entire footwear operation to American Exchange Group in March 2026, retaining roughly $50M in cash plus a public stock ticker, then pivoted to AI compute infrastructure. Shares jumped approximately 700% on the announcement. The critical limitation: $50M is a marginal entry point in a market where competitors invest billions.
- ✓Token Maxing as Vanity Metric: Companies like Meta have created internal leaderboards tracking developer token consumption to measure AI-assisted productivity, but token spend functions like website clicks — a correlation with output, not a cause. Developers game leaderboards by spending tokens on trivial tasks. The actual productivity-to-cost ratio across organizations remains unmeasured and highly variable.
- ✓Mythos Security Implications: Anthropic's unreleased Mythos model reportedly identified thousands of vulnerabilities across every major operating system and browser. Rather than releasing it publicly, Anthropic launched Project Glasswing, a closed program with approximately 40 companies given access to audit and patch their systems. This signals a broader tailwind for AI governance, security operations, and AI underwriting companies.
- ✓AI Chat and Attorney-Client Privilege: A federal judge ruled that Claude chat logs used to prepare legal materials are discoverable in court because AI systems are classified as third parties, not attorneys. Pasting confidential contracts, draft agreements, or sensitive business discussions into any commercial AI system effectively waives confidentiality. Companies should update vendor contracts and internal policies to explicitly prohibit inputting privileged information into external AI tools.
What It Covers
Practical AI hosts Daniel Whitenack and Chris Benson cover four converging developments: Allbirds' pivot from footwear to AI compute infrastructure, the emergence of NeoCloud providers like CoreWeave, Anthropic's unreleased Mythos model and its security implications, and the legal risks of using AI chatbots for confidential business communications.
Key Questions Answered
- •NeoCloud Infrastructure: AI-native cloud providers like CoreWeave, Together AI, and Lambda Labs build GPU-first infrastructure specifically for training and inference workloads, not general computing. This specialization exists because GPU supply is constrained within hyperscalers like AWS, and AI workloads require massive multi-node data movement patterns that general-purpose cloud architecture does not efficiently support.
- •Allbirds Capital Reallocation: Allbirds sold its entire footwear operation to American Exchange Group in March 2026, retaining roughly $50M in cash plus a public stock ticker, then pivoted to AI compute infrastructure. Shares jumped approximately 700% on the announcement. The critical limitation: $50M is a marginal entry point in a market where competitors invest billions.
- •Token Maxing as Vanity Metric: Companies like Meta have created internal leaderboards tracking developer token consumption to measure AI-assisted productivity, but token spend functions like website clicks — a correlation with output, not a cause. Developers game leaderboards by spending tokens on trivial tasks. The actual productivity-to-cost ratio across organizations remains unmeasured and highly variable.
- •Mythos Security Implications: Anthropic's unreleased Mythos model reportedly identified thousands of vulnerabilities across every major operating system and browser. Rather than releasing it publicly, Anthropic launched Project Glasswing, a closed program with approximately 40 companies given access to audit and patch their systems. This signals a broader tailwind for AI governance, security operations, and AI underwriting companies.
- •AI Chat and Attorney-Client Privilege: A federal judge ruled that Claude chat logs used to prepare legal materials are discoverable in court because AI systems are classified as third parties, not attorneys. Pasting confidential contracts, draft agreements, or sensitive business discussions into any commercial AI system effectively waives confidentiality. Companies should update vendor contracts and internal policies to explicitly prohibit inputting privileged information into external AI tools.
Notable Moment
A federal ruling established that conversations with AI tools like Claude carry no attorney-client privilege, treating the AI as a third party. This means founders and executives who routinely paste contracts or sensitive negotiations into commercial AI systems have potentially made that material discoverable in litigation.
Episode Transcript
Welcome to the Practical AI podcast, where we break down the real world applications of artificial intelligence and how it's shaping the way we live, work, and create. Our goal is to help make AI technology practical, productive, and accessible to everyone. Whether you're a developer, business leader, or just curious about the tech behind the buzz, you're in the right place. Be sure to connect with us on LinkedIn, x, or Blue Sky to stay up to date with episode drops, behind the scenes content, and AI insights. You can learn more at practicalai.fm. Now onto the show. Welcome Welcome to another episode of the Practical AI podcast. This is Daniel Whitenack. I am CEO at Prediction Guard. I'm joined as always by my co host, Chris Benson, who is a principal AI and autonomy research engineer. How are you doing, Chris? Hey. I'm doing great today, Daniel. Looking forward to catching up on one of these fully connected episodes where we get to talk about kinda whatever we wanna talk about. Whatever we wanna talk about. No one I I mean, I guess, normally, we just talk about what we wanna talk about. But at least we when we have a guest, we try to center the the conversation on maybe a few things they wanna talk about. I I'm pretty excited, Chris, because I just got a brand new pair of shoes. And, I've been I've been wearing my new shoes all week, and I didn't think that that would be a relevant topic to bring up with you on on the Practical AI podcast because I thought shoes really didn't have any overlap with the AI world. Although, I guess, this is not the topic we're gonna talk about, but I did see a company that had, like, a like, you take a picture of your foot and, like, the AI figures out the shape of your foot or whatever and then, like, could, I guess, advise on shoes or something. Anyway, but speaking of shoes, today, I didn't even see this, but folks in in the office here at Prediction Guard were like, hey. Did you hear about Allbirds? And I had not heard about Allbirds, but, apparently, Allbirds is now an AI company, which is which is quite interesting. So, Chris, do you have a pair of Allbirds? I guess they're AI Allbirds now. I I I actually don't, but I I gotta say, that's that's a terribly interesting way of of retreading your business model. You know? A reset. Yes. Yeah. Yeah. They really, yeah, kicked it kicked it to the curb, I guess. So, so from from from shoes to AI data centers? Yeah. Well, I guess kind of background information for people here. I I sort of only know this because my wife had my my wife was really into Allbirds. She had a few pairs. But, it seems like kind of 2016 to around, just after COVID twenty twenty one, …
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Books, tools, and gear mentioned in this episode
SignalCast may earn commission on purchases via these links.
Tools
by Anthropic
“A federal judge ruled that Claude chat logs used to prepare legal materials are discoverable in court... Pasting confidential contracts, draft agreements, or sensitive business discussions into any commercial AI system effectively waives confidentiality.”
“SPONSORS [{'name': 'Prediction Guard', 'url': 'https://predictionguard.com'}]”
company
“Anthropic's unreleased Mythos model and its security implications... Anthropic launched Project Glasswing, a closed program with approximately 40 companies given access to audit and patch their systems.”
“Allbirds' pivot from footwear to AI compute infrastructure... Allbirds sold its entire footwear operation to American Exchange Group in March 2026, retaining roughly $50M in cash plus a public stock ticker, then pivoted to AI compute infrastructure.”
“The emergence of NeoCloud providers like CoreWeave... AI-native cloud providers like CoreWeave, Together AI, and Lambda Labs build GPU-first infrastructure specifically for training and inference workloads.”
“AI-native cloud providers like CoreWeave, Together AI, and Lambda Labs build GPU-first infrastructure specifically for training and inference workloads.”
“AI-native cloud providers like CoreWeave, Together AI, and Lambda Labs build GPU-first infrastructure specifically for training and inference workloads.”
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