Glen Rhodes

AI | Data & Analysis | Machine Learning | Tech

Google allowing all engineers to use Anthropic Claude for coding work and what it signals about model preference, workflow lock-in, and agentic architecture strategy for builders
ByGlen Rhodes September 21, 2026

Google Lets Engineers Use Claude. Here’s What You’re Missing. Google just opened up Anthropic’s Claude to all of its engineers for internal coding work. Most of the takes I’ve seen land somewhere between “Google admits defeat” and “Claude is officially the best coding model.” Both miss the point entirely. This is a more interesting story…

Read More Google allowing all engineers to use Anthropic Claude for coding work and what it signals about model preference, workflow lock-in, and agentic architecture strategy for builders
AI | Data & Analysis | Machine Learning | Tech

California SB 813 independent AI certification framework and what third-party safety audits mean for builders deploying production AI systems
ByGlen Rhodes September 20, 2026

California Just Changed Who Gets to Call AI Safe I’ve been waiting for something like this. Not because I think state-level legislation is the ideal venue for AI governance, but because the alternative, which is letting the labs grade their own homework indefinitely, was never going to hold. On September 18th, Governor Newsom signed SB…

Read More California SB 813 independent AI certification framework and what third-party safety audits mean for builders deploying production AI systems
AI | Data & Analysis | Machine Learning | Tech

Stanford AI agents converted from scientific manuscripts making new discoveries through inter-agent collaboration, and what it means for agentic system architecture
ByGlen Rhodes September 19, 2026

Stanford Just Broke the Single-Agent Mental Model I’ve been sitting with this paper for a few days now because I think the builder community is underreacting to it. Stanford researchers took scientific manuscripts, converted them into AI agents, then let those agents talk to each other. What came out the other side weren’t summaries or…

Read More Stanford AI agents converted from scientific manuscripts making new discoveries through inter-agent collaboration, and what it means for agentic system architecture
AI | Data & Analysis | Machine Learning | Tech

Hot take: Google DeepMind’s one-year self-improving AI timeline as a concrete production architecture constraint for builders
ByGlen Rhodes September 18, 2026

The Clock Is Already Running: Treating Self-Improving AI as a Real Architecture Constraint Most builders I talk to are treating recursive self-improvement as a philosophy problem. A debate topic. Something that lives in safety papers and conference panels. I think that’s a mistake, and I think the window to course-correct is a lot shorter than…

Read More Hot take: Google DeepMind’s one-year self-improving AI timeline as a concrete production architecture constraint for builders
AI | Data & Analysis | Machine Learning | Tech

Critique of OpenAI/Anthropic/Google DeepMind quiet safety coordination talks as liability management rather than genuine safety oversight, and what it means for builders if labs control the definition of safe
ByGlen Rhodes September 17, 2026

When Safety Becomes a Brand Strategy The three most powerful AI labs on the planet have been quietly meeting to build a shared safety framework. Independent evaluations before public release. Standardized pre-release reviews. Shared risk-assessment across the industry. Chris Lehane, OpenAI’s global policy chief, confirmed the talks on September 15. And on the surface, this…

Read More Critique of OpenAI/Anthropic/Google DeepMind quiet safety coordination talks as liability management rather than genuine safety oversight, and what it means for builders if labs control the definition of safe
AI | Data & Analysis | Machine Learning | Tech

Cloudflare Adaptive Intelligence self-updating bot detection as a signal for continuous adaptation architecture in production AI systems
ByGlen Rhodes September 16, 2026

Cloudflare Just Showed Us What Production AI Should Actually Look Like Most AI systems ship with an expiration date baked in. You don’t know when it expires. That’s the problem. Cloudflare’s new Adaptive Intelligence system caught my attention this week for exactly this reason. It’s their bot detection layer, and unlike every other security system…

Read More Cloudflare Adaptive Intelligence self-updating bot detection as a signal for continuous adaptation architecture in production AI systems
AI | Data & Analysis | Machine Learning | Tech

Prediction on what an OpenAI/Anthropic/Google shared AI standards body means for builders relying on frontier model access windows
ByGlen Rhodes September 15, 2026

If You Build on Frontier Models, Pay Attention to This The three biggest AI labs in the world are apparently sitting at the same table. Anthropic, OpenAI, and Google DeepMind are reportedly in discussions to form a shared standards body for testing advanced AI models. No official announcement yet. No press release. Just signals, leaks,…

Read More Prediction on what an OpenAI/Anthropic/Google shared AI standards body means for builders relying on frontier model access windows
AI | Data & Analysis | Machine Learning | Tech

Insight on silent model behavioral drift as an operational production risk, and how to architect evaluation logic that survives model updates
ByGlen Rhodes September 14, 2026

Silent Drift: The Production AI Risk Nobody Puts in the Postmortem Here is a failure mode I keep watching teams walk into, and it almost never shows up in the incident review. You build a system on a specific model behavior. You tune prompts around it, write evals that confirm it, set thresholds that depend…

Read More Insight on silent model behavioral drift as an operational production risk, and how to architect evaluation logic that survives model updates
AI | Data & Analysis | Machine Learning | Tech

Prediction: builders who define outcomes before models will survive model churn, while those dependent on specific model behavior will be permanently reactive
ByGlen Rhodes September 13, 2026

Outcome-First or Model-First: The Architecture Decision That Will Define the Next Two Years Most builders won’t realize they made the wrong architectural choice until their roadmap is already held hostage by a lab they’ve never met. Here’s the split I see coming, and it’s sharper than most people want to admit. The Model-Behavior Trap Frontier…

Read More Prediction: builders who define outcomes before models will survive model churn, while those dependent on specific model behavior will be permanently reactive
AI | Data & Analysis | Machine Learning | Tech

Decreasing frontier model monitorability as a concrete production architecture risk for builders, not an abstract safety concern
ByGlen Rhodes September 12, 2026

The Failure Mode Nobody’s Debugging Most builders I talk to are optimizing for accuracy, latency, and cost. Those are real concerns. But there’s a failure mode quietly becoming more dangerous than any of them: the model doing exactly what you asked, and you having no idea why. OpenAI’s head of recursive self-improvement preparedness stated publicly…

Read More Decreasing frontier model monitorability as a concrete production architecture risk for builders, not an abstract safety concern