Explanation & chat link: "I digitized the curve from the image and used Cognition’s “>10x since start of 2026” claim to calibrate the relative shape. Then I anchored the absolute scale using the public “~1.1M PRs shipped with Devin” figure by Feb 2026: the chart area up to then
@petergostev
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AI Agents as Platform Infrastructure and Service Layer
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Agent is a platform could become a real thing. You will pay for your agent, then use that inference to access other services (e.g. shopping, finance, legal). You incentives are aligned (if its important, I want to spend a lot) and 3rd parties don't need to build their own agents
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AI model quality and price evolution over time
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This is elite data – how the pareto frontier moved over time. Took a lot of effort to get right. Huge shift in the model quality & price in the last 3 years. https://t.co/CtafQ4Gd66
— Peter Gostev (@petergostev) 21 mai 2026This is elite data – how the pareto frontier moved over time. Took a lot of effort to get right. Huge shift in the model quality & price in the last 3 years.
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Gemini 3.5 Flash: strengths and inconsistencies observed
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I did a video on Gemini 3.5 Flash – it is a pretty weird release, – went through dozens of examples and comparisons to other models. Some thoughts:
– It does WAY more than what you asked for
– It sometimes generates best in class stuff
– But sometimes crashes out and does -
Gemini 3.5 Flash performance in BullshitBench
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BullshitBench update: Gemini 3.5 Flash did pretty badly – below a bit Gemma 4 even (31b high is 80th)
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EU AI regulation critique and preemptive harm concerns
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I don't believe pre agreeing anything works – eg EU did AI regulation which they started drafting before ChatGPT, as a result it is pretty much harmful without any of the benefits. Preparing some framework before we know what the world looks like could be harmful too. For
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GPT Image 2 sees 50% usage growth and 1.5bn weekly images
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GPT Image 2: two weeks after launching the model, usage is up 50% and 1.5bn images generated every week in ChatGPT only.
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Coding with o3 model to avoid AI slowdown
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If you feel like AI is slowing down, try coding with o3 – best model only a year ago
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Using AI agents for migration task documentation
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The goal, really? I have quite a big migration task and I was working in one thread to work out how to set it up well – e.g. the target spec, testing approach, etc. then got codex to write out docs and the goal prompt for the other agent. Then I'm periodically checking in with
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AI goal-setting feature in Codex app
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Did you know that /goal already exists in the codex app, there's no UI around it, but if you literally just start a message with /goal and write your goal then you can get it in the app, not just the CLI