Glen Rhodes

AI | Data & Analysis | Machine Learning | Tech

AI-designed physics experiments outperforming human-designed setups, published in Nature by Vienna University of Technology, and what it means for builders thinking about AI as hypothesis generation vs. workflow automation
ByGlen Rhodes September 6, 2026

AI Designed Better Physics Experiments Than Humans. Now What? There is a result buried in a September 2026 Nature paper from Vienna University of Technology that deserves more attention than it is getting. Researchers there built an AI system that designs physics experiments, and those experiments outperformed human-designed setups. Not “assisted with.” Not “accelerated.” Outperformed….

Read More AI-designed physics experiments outperforming human-designed setups, published in Nature by Vienna University of Technology, and what it means for builders thinking about AI as hypothesis generation vs. workflow automation
AI | Data & Analysis | Machine Learning | Tech

Prediction: weekly frontier model releases have broken traditional model evaluation cycles, and builders need to architect for permanent model churn
ByGlen Rhodes September 5, 2026

The Release Cadence Is the Product Now GPT-6 dropped this week. OpenAI called it a “new era of artificial general intelligence.” That phrase is doing a lot of work, and most commentary has focused on the model itself. I think that’s the wrong place to look. The real signal is what happened around it. In…

Read More Prediction: weekly frontier model releases have broken traditional model evaluation cycles, and builders need to architect for permanent model churn
AI | Data & Analysis | Machine Learning | Tech

Contrarian take on NYC’s generative AI moratorium for 600,000 students and what banning tools does to the equity gap in AI readiness
ByGlen Rhodes September 4, 2026

NYC Just Banned AI for 600,000 Kids. That’s the Wrong Call. New York City announced a moratorium on student-facing generative AI tools across its elementary and middle schools on September 2nd. Mayor Zohran Kwame Mamdani and Schools Chancellor Kamar H. Samuels called it putting students first. I’ve been sitting with that framing for a few…

Read More Contrarian take on NYC’s generative AI moratorium for 600,000 students and what banning tools does to the equity gap in AI readiness
AI | Data & Analysis | Machine Learning | Tech

Microsoft reorganizes reporting structure into two segments centered on Agents and Infra, signaling AI as core operating model rather than product feature
ByGlen Rhodes September 3, 2026

Microsoft Just Reorganized Itself Around AI. Here’s Why That’s Not a PR Stunt. Most people are going to read Microsoft’s latest restructuring as a headline-grabbing signal. A rebranding exercise dressed up as strategy. I think that reading is wrong, and I think it matters quite a bit why it’s wrong. Microsoft just collapsed its three…

Read More Microsoft reorganizes reporting structure into two segments centered on Agents and Infra, signaling AI as core operating model rather than product feature
AI | Data & Analysis | Machine Learning | Tech

Hot take: Google Gemini 3.8 Flash Cyber, Anthropic Claude Fable 5.1, and OpenAI Astra simultaneous cyber model releases and what it means for builders deploying AI in security contexts
ByGlen Rhodes September 2, 2026

Three major AI labs dropped cyber-focused models in the same week. That is not a product roadmap coincidence. That is coordination, or something close enough to it that the distinction barely matters. Google DeepMind announced Gemini 3.8 Flash Cyber. Anthropic unveiled Claude Fable 5.1. OpenAI announced Astra, built specifically to find zero-day vulnerabilities on its…

Read More Hot take: Google Gemini 3.8 Flash Cyber, Anthropic Claude Fable 5.1, and OpenAI Astra simultaneous cyber model releases and what it means for builders deploying AI in security contexts
AI | Data & Analysis | Machine Learning | Tech

Google DeepMind launches world’s first double-blind cryptographic evaluation of a frontier AI model and what it means for builder model selection decisions
ByGlen Rhodes September 1, 2026

Google DeepMind Just Changed How We Should Think About AI Benchmarks On August 27, 2026, Google DeepMind announced what it describes as the world’s first double-blind evaluation of a proprietary, frontier-class AI model. The pilot uses cryptographic methods to prevent evaluators from knowing which model they’re judging. My first reaction was: good. My second was:…

Read More Google DeepMind launches world’s first double-blind cryptographic evaluation of a frontier AI model and what it means for builder model selection decisions
AI | Data & Analysis | Machine Learning | Tech

Anthropic’s Model Hardware Standard (MHS) as a physical-world AI agent protocol and what it means for builders working at the hardware-software interface
ByGlen Rhodes August 31, 2026

Anthropic Just Claimed a $30 Trillion Market. The Part You Missed Is the Protocol. $30 trillion. That number landed last week and most of the coverage treated it like an audacious fundraising talking point. Fair, honestly. It’s a number so large it stops meaning anything if you sit with it too long. For reference, that’s…

Read More Anthropic’s Model Hardware Standard (MHS) as a physical-world AI agent protocol and what it means for builders working at the hardware-software interface
AI | Data & Analysis | Machine Learning | Tech

Critique: Meta’s failed AI workforce replacement attempt and what it reveals about deployment strategy vs. model capability
ByGlen Rhodes August 30, 2026

Meta Tried to Replace Workers With AI. Here’s What That Actually Reveals. There’s a story circulating right now that’s being framed as “AI failed at Meta.” That framing is wrong, and the misread is itself the problem worth examining. Meta’s attempt to replace portions of its workforce with AI fell flat, according to reporting from…

Read More Critique: Meta’s failed AI workforce replacement attempt and what it reveals about deployment strategy vs. model capability
AI | Data & Analysis | Machine Learning | Tech

Prediction: AI value is shifting from model quality to workflow embedding, and most builders are watching the wrong scoreboard
ByGlen Rhodes August 29, 2026

The Scoreboard Most AI Builders Are Watching Is the Wrong One Here is a prediction that felt obvious to me the moment I started mapping out the talent moves: the competitive moat in AI is no longer the model. It never really was, long term. But now the market is finally starting to price that…

Read More Prediction: AI value is shifting from model quality to workflow embedding, and most builders are watching the wrong scoreboard
AI | Data & Analysis | Machine Learning | Tech

Chinese open-weight models winning U.S. business workloads away from frontier models, and what task-level model selection means for builders
ByGlen Rhodes August 28, 2026

Chinese Open-Weight Models Are Eating U.S. AI Budgets. Builders Need to Pay Attention. A Fortune report published this week stopped me mid-scroll. A U.S. company is migrating document-review workloads off Claude and onto a Chinese open-source model. Their CTO, Joel Hron, put it plainly: companies don’t need ever-larger, more expensive frontier models to get useful…

Read More Chinese open-weight models winning U.S. business workloads away from frontier models, and what task-level model selection means for builders