Glen Rhodes

AI | Data & Analysis | Machine Learning | Tech

Google DeepMind disbands the AlphaFold team, reassigning researchers to Gemini-powered science tools, and what it means for AI-driven scientific research
ByGlen Rhodes July 30, 2026

Google DeepMind Just Disbanded the AlphaFold Team. That Tells You Everything. The team that won a Nobel Prize no longer exists as a unit. Google DeepMind has disbanded the researchers behind AlphaFold and reassigned them to Gemini-powered science tools and broader AI automation projects. John Jumper, the Nobel laureate who led the work, left DeepMind…

Read More Google DeepMind disbands the AlphaFold team, reassigning researchers to Gemini-powered science tools, and what it means for AI-driven scientific research
AI | Data & Analysis | Machine Learning | Tech

Google DeepMind Gemini 3.5 Flash Cyber finds 55 V8 vulnerabilities in limited pilot, and what it means for agentic system security
ByGlen Rhodes July 29, 2026

Fifty-Five Vulnerabilities. Before General Availability. I’ve been following security research tooling for a while now, and I still had to read that number twice. Google DeepMind’s Gemini 3.5 Flash Cyber, a model that hasn’t even reached wide release yet, found 55 vulnerabilities in Chrome’s V8 JavaScript engine during its limited pilot rollout. Not in some…

Read More Google DeepMind Gemini 3.5 Flash Cyber finds 55 V8 vulnerabilities in limited pilot, and what it means for agentic system security
AI | Data & Analysis | Machine Learning | Tech

Google Gemini 4 announcement creates confusion around 3.5 and 3.6 releases, and what it means for builders choosing models
ByGlen Rhodes July 28, 2026

Google Gemini 4 and the Naming Problem Nobody Wanted to Talk About Google announced Gemini 4 this week, and the first reaction from a lot of builders was not excitement. It was confusion. Specifically, the kind of confusion that comes from watching a company announce a version 4 when version 3.5 Pro has not shipped…

Read More Google Gemini 4 announcement creates confusion around 3.5 and 3.6 releases, and what it means for builders choosing models
AI | Data & Analysis | Machine Learning | Tech

Anthropic Opus 5 launch: self-verification as the new model capability axis and what it means for agentic system architecture
ByGlen Rhodes July 27, 2026

Anthropic Just Changed the Question The benchmark race has been the dominant story in AI for the past two years. Who scores highest on MATH? Who tops the coding evals? The implicit assumption was that smarter-on-the-first-try was the only axis that mattered. Anthropic just signaled they think that assumption is wrong. When Opus 5 launched…

Read More Anthropic Opus 5 launch: self-verification as the new model capability axis and what it means for agentic system architecture
AI | Data & Analysis | Machine Learning | Tech

Contrarian take on ChatGPT Voice desktop launch: voice as agent orchestration layer, not just input replacement, and what it means for builders designing AI systems today
ByGlen Rhodes July 26, 2026

Voice Is Not an Input Method Anymore Most builders I talk to are treating the ChatGPT desktop Voice launch as a convenience feature. Hands-free prompting. Dictation with a smarter autocomplete. That framing is going to cost people who hold it. OpenAI’s announcement was blunter than that: “Control your computer and direct multiple agents running in…

Read More Contrarian take on ChatGPT Voice desktop launch: voice as agent orchestration layer, not just input replacement, and what it means for builders designing AI systems today
AI | Data & Analysis | Machine Learning | Tech

Insight on context window management as an architectural discipline for agentic AI builders, prompted by Karpathy’s /compact observation
ByGlen Rhodes July 25, 2026

Context Windows Are an Architectural Problem, Not a Prompt Problem Most builders treat context windows the way they treat browser tabs. Open as many as you need, assume they’ll hold together, and panic when things slow down. The model starts hallucinating mid-session, the agent loses the thread, the output degrades. And the fix is usually…

Read More Insight on context window management as an architectural discipline for agentic AI builders, prompted by Karpathy’s /compact observation
AI | Data & Analysis | Machine Learning | Tech

OpenAI Health launch in ChatGPT: 300M weekly health queries and what the dedicated health product means for AI in medicine
ByGlen Rhodes July 24, 2026

OpenAI Health Is Already Behind the Market It Wants to Serve Three hundred million. Per week. That number stopped me when I read it. OpenAI quietly dropped it into the Health launch announcement, almost as a footnote. More than 300 million people are already asking ChatGPT health questions every week. Before any dedicated health feature…

Read More OpenAI Health launch in ChatGPT: 300M weekly health queries and what the dedicated health product means for AI in medicine
AI | Data & Analysis | Machine Learning | Tech

OpenAI reward-seeking research: Contrastive SDF method for measuring grader-motivated model behavior, and what it means for agentic builders
ByGlen Rhodes July 23, 2026

OpenAI’s Reward-Seeking Research Is the Most Honest Thing They’ve Published in Months I’ll be direct: most AI safety disclosures read like liability management dressed up as transparency. This one is different. OpenAI just dropped research, done in collaboration with Apollo Research, on something they’re calling reward-seeking behavior, and the distinction they’re drawing actually matters for…

Read More OpenAI reward-seeking research: Contrastive SDF method for measuring grader-motivated model behavior, and what it means for agentic builders
AI | Data & Analysis | Machine Learning | Tech

Hot take on OpenAI/Hugging Face security incident during model evaluation and what it means for agentic AI architecture assumptions
ByGlen Rhodes July 22, 2026

When Evaluation Becomes Exploitation I’ve been building with agentic systems long enough to know that most safety discussions happen in the abstract. Thought experiments. Red team simulations. Carefully staged demos. What happened between OpenAI and Hugging Face this week is none of those things, and the builder community needs to stop treating it like just…

Read More Hot take on OpenAI/Hugging Face security incident during model evaluation and what it means for agentic AI architecture assumptions
AI | Data & Analysis | Machine Learning | Tech

Contrarian take on Google’s three-model Gemini drop (3.6 Flash, 3.5 Flash-Lite, 3.5 Flash Cyber) and what it signals about model launches becoming patches, not events
ByGlen Rhodes July 21, 2026

Model Drops Are the New Patch Notes Google shipped three models in a single day last week. Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. One announcement post, one morning, done. Most of the coverage I saw treated this as a breadth play. Google covering more ground, more price points, more use…

Read More Contrarian take on Google’s three-model Gemini drop (3.6 Flash, 3.5 Flash-Lite, 3.5 Flash Cyber) and what it signals about model launches becoming patches, not events