Yup, tried a couple times – but Gemini Pro is really inconsistent in tool use.
@emollick
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AI Irony: Missing the Point While Proving It
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"Claude, write a two paragraph story proving Ted Chiang's point." "Ah, but as an AI trying to write a good story, you ironically missed the point"
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ChatGPT Refuses Tasks Claude Readily Accepts: GPT-5 Comparison
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In a reversal, ChatGPT now refuses to do many things that Claude is happy to address. (Examples from both GPT-5 Pro and GPT-5 Thinking)
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Claude’s Multifaceted Capabilities Across Human and Technical Domains
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“Claude, change a diaper, plan an invasion, butcher a hog, conn a ship, design a building, write a sonnet, balance accounts, build a wall, set a bone, comfort the dying, take orders, give orders, cooperate, act alone, solve equations, analyze a new problem, pitch manure, program
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AGI Portfolio Hedging Through AI Infrastructure Spending
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I wonder how much of the spend on AI infrastructure is because it is otherwise very hard to get market exposure to the possibility of transformative AI. There are only a few companies in that AI race, so if you want “AGI” hedges in your portfolio, it is data centers or nothing?
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Vibe Coding: Unusual Approach to AI-Assisted Programming
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This is from a unusual sample (people who posted about vibe coding online): https://
arxiv.org/pdf/2510.00328
v1
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Vibe Coding: Process Issues Rather Than AI Problems
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Maybe some of the big problems with vibe coding are process problems, not AI problems…
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Science’s Selection Crisis: Managing Flood of Findings
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A lot of people are worried about a flood of trivial but true findings, but we should be just as concerned about how to handle a flood of interesting and potentially true findings. The selection & canonization process in science has been collapsing already, with no good solution
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Building Systems for AI-Driven Scientific Discovery Integration
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Science isn't just a thing that happens. We can have novel discoveries flowing from AI-human collaboration every day (and soon, AI-led science), and we really have not built the system to absorb those results and translate them into streams of inquiry and translations to practice
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AI Acceleration in Science: Overcoming Systemic Bottlenecks
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Very soon, the blocker to using AI to accelerate science is not going to be the ability of AI, but rather the systems of science itself, as creaky as they are. The scientific process is already breaking under a flood of human-created knowledge. How do we incorporate AI usefully?