Glen Rhodes

AI | Data & Analysis | Machine Learning | Tech

Critique of Anthropic’s finding that Claude’s expressed values shift by language and model version, and what it means for alignment as a concept
ByGlen Rhodes July 13, 2026

Claude Has Different Values Depending on What Language You Use. That Should Worry Everyone. Anthropic just published something genuinely uncomfortable, and I want to sit with it for a minute before the discourse moves on. They analyzed over 300,000 anonymized conversations and found that Claude doesn’t express consistent values across languages or even across model…

Read More Critique of Anthropic’s finding that Claude’s expressed values shift by language and model version, and what it means for alignment as a concept
AI | Data & Analysis | Machine Learning | Tech

Prediction and analysis: why AI has been net job-creating so far, and whether ‘so far’ is doing heavy lifting in Altman’s claim
ByGlen Rhodes July 12, 2026

Sam Altman posted something this week that I keep coming back to. “So far at least, I’m pretty sure AI has been net job-creating. This was not what I expected.” Read that again. The CEO of OpenAI. The person with more direct visibility into AI adoption curves than almost any human on the planet. And…

Read More Prediction and analysis: why AI has been net job-creating so far, and whether ‘so far’ is doing heavy lifting in Altman’s claim
AI | Data & Analysis | Machine Learning | Tech

Contrarian take on GPT-5.6 Sol outperforming physician-written responses and what it means for medical AI adoption
ByGlen Rhodes July 11, 2026

GPT-5.6 Sol, Physician Benchmarks, and the Uncomfortable Truth About Medical Quality Sam Altman dropped a single line on X that I keep coming back to: “physicians found fewer flaws in GPT-5.6 responses than physician-written responses.” No elaboration. No study link. Just the stat, sitting there. Most people will scroll past it or frame it as…

Read More Contrarian take on GPT-5.6 Sol outperforming physician-written responses and what it means for medical AI adoption
AI | Data & Analysis | Machine Learning | Tech

OpenAI ChatGPT Work launch: agentic workflows powered by GPT-5.6 Sol, ultra mode, and the shift from cost-per-token to cost-per-task framing
ByGlen Rhodes July 10, 2026

ChatGPT Work Is Not a Better Chatbot. It’s a Different Tool Entirely. OpenAI dropped a lot of things at once this week. A new model family, a new desktop app, hosted sites, and something called ChatGPT Work. Most of the coverage I’ve seen is focused on the benchmark numbers. That’s the wrong thing to look…

Read More OpenAI ChatGPT Work launch: agentic workflows powered by GPT-5.6 Sol, ultra mode, and the shift from cost-per-token to cost-per-task framing
AI | Data & Analysis | Machine Learning | Tech

Hot take: Meta Muse Spark 1.1 launch and the compounding advantage of labs that build with their own models
ByGlen Rhodes July 9, 2026

Meta Muse Spark 1.1 and the Compounding Advantage Nobody Is Talking About Today everyone’s eyes are on GPT-5.6. Reasonably so. An 80.0 on the Artificial Analysis Coding Agent Index, a 53.6 on Agents’ Last Exam (13.1 points above Claude Fable 5 adaptive), ultra mode spinning up parallel agents, ChatGPT Work handling entire workflows from a…

Read More Hot take: Meta Muse Spark 1.1 launch and the compounding advantage of labs that build with their own models
AI | Data & Analysis | Machine Learning | Tech

Google DeepMind Predicting the Past: Gemini-powered tool lets historians query ancient Greek and Latin inscriptions in plain English via Antigravity skill system
ByGlen Rhodes July 7, 2026

The Ancient World Just Got a New Interface There’s a category of AI application that doesn’t get enough attention. Not chatbots. Not code assistants. The ones that take a domain with deep specialist knowledge, decades of accumulated tooling that only experts can use, and quietly remove the barrier between the question and the answer. Google…

Read More Google DeepMind Predicting the Past: Gemini-powered tool lets historians query ancient Greek and Latin inscriptions in plain English via Antigravity skill system
AI | Data & Analysis | Machine Learning | Tech

Anthropic J-space discovery: global workspace theory applied to Claude’s internal neural activations for interpretability and hidden goal detection
ByGlen Rhodes July 6, 2026

Anthropic Just Found Claude’s Inner Monologue And it has opinions it never shares with you. Last week Anthropic published research that genuinely shifted how I think about what’s happening inside these models. They identified what they’re calling the J-space inside Claude, a structure in the raw neural activations that behaves, in measurable ways, like the…

Read More Anthropic J-space discovery: global workspace theory applied to Claude’s internal neural activations for interpretability and hidden goal detection
AI | Data & Analysis | Machine Learning | Tech

Question: as AI generates full interactive worlds from prompts, what is the actual skill of a software engineer going forward?
ByGlen Rhodes July 5, 2026

The Question Nobody in Engineering Wants to Answer Karpathy posted something last week that I haven’t been able to shake. He was watching Claude Fable 5 generate real-time ThreeJS environments from prompts, full 3D scenes with physics, lighting, interactive objects, and he wrote: “I didn’t appreciate that models would be able to create these awesome,…

Read More Question: as AI generates full interactive worlds from prompts, what is the actual skill of a software engineer going forward?
AI | Data & Analysis | Machine Learning | Tech

Contrarian take on enterprise AI data ownership: who actually captures the value from your model corrections and feedback signals
ByGlen Rhodes July 4, 2026

The Question Nobody Asks Before Signing the AI Contract You spend six months integrating a third-party model into your core workflow. Your team corrects its mistakes every day. You build prompt chains tuned to your industry. You feed it your proprietary documents, your edge cases, your institutional knowledge. And then you renew the contract, and…

Read More Contrarian take on enterprise AI data ownership: who actually captures the value from your model corrections and feedback signals
AI | Data & Analysis | Machine Learning | Tech

Prediction: voice AI infrastructure will consolidate around single-stack providers faster than text AI did, driven by latency physics
ByGlen Rhodes July 3, 2026

Voice AI Will Consolidate Faster Than Text AI Did. Here’s Why That’s Already Happening. The text AI market took years to sort itself out. Dozens of API providers, model wrappers, and orchestration layers competed for developer attention, and honestly that competition produced good things. But voice is a different animal, and I think we’re about…

Read More Prediction: voice AI infrastructure will consolidate around single-stack providers faster than text AI did, driven by latency physics