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GPT-5 Thinking

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Min Choi

374,880 subscribers

434,883 просмотров • 10 месяцев назад •via X (Twitter)

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Kind of shocking how much better GPT-5-Codex is vs the regular 'Thinking' models in ChatGPT. My subjective rankings for the fruit machine test: 1. GPT-5-Codex-Medium 2. GPT-5-Thinking-Heavy 3. GPT-5-Pro 4. GPT-5-Codex-High 5. GPT-5-Codex-Low 6. GPT-5-Thinking-Standard 7. GPT-5-Thinking-Extended 8. GPT-5-Thinking-Light OpenAI Codex team have suggested 'Medium' should be the default, but I didn't expect that it would actually beat the 'High' setting model in my test.
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Kind of shocking how much better GPT-5-Codex is vs the regular 'Thinking' models in ChatGPT. My subjective rankings for the fruit machine test: 1. GPT-5-Codex-Medium 2. GPT-5-Thinking-Heavy 3. GPT-5-Pro 4. GPT-5-Codex-High 5. GPT-5-Codex-Low 6. GPT-5-Thinking-Standard 7. GPT-5-Thinking-Extended 8. GPT-5-Thinking-Light OpenAI Codex team have suggested 'Medium' should be the default, but I didn't expect that it would actually beat the 'High' setting model in my test.

Peter Gostev

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GPT-5 Thinking also built an interactive experience, but seemed a little embarrassed by it, adding lots of little caveats.
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GPT-5 Thinking also built an interactive experience, but seemed a little embarrassed by it, adding lots of little caveats.

Ethan Mollick

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GPT-5 Thinking I like revisiting this prompt every now and then to see how much better models have gotten over time
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GPT-5 Thinking I like revisiting this prompt every now and then to see how much better models have gotten over time

Angel Bogado 🌻

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I compared Claude Fable 5 to GPT-5.5 in this Power Rangers prompt Thing is, Fable 5 is using Low thinking effort and GPT-5.5 is using xhigh Safe to say, the results are... not even close. 5.5's output is bad across the board, from the UI to the actual voxel scene itself🥲 1st video: Claude Fable 5 (Low effort) 2nd video: GPT-5.5 (xhigh)
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I compared Claude Fable 5 to GPT-5.5 in this Power Rangers prompt Thing is, Fable 5 is using Low thinking effort and GPT-5.5 is using xhigh Safe to say, the results are... not even close. 5.5's output is bad across the board, from the UI to the actual voxel scene itself🥲 1st video: Claude Fable 5 (Low effort) 2nd video: GPT-5.5 (xhigh)

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Sam Altman on GPT-5 in Berlin today “How many of you think you will still be smarter than GPT-5 ? I don’t think I’m gonna be smarter than GPT-5” #Gpt5 Sam Altman 👀
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GPT-5 thinking has been incredible at coding so far i'm not a big fan of vibe coding, but just tried a "browser OS" test in one shot - gemini 2.5 pro failed - claude 4.1 handled flow better, but not as good overall - gpt-5 nailed it, and added all the standard features DEMO 👇
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GPT-5 basically one-shot this
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how it started (Greg Brockman's gpt-4 launch demo) how it's going (gpt-5-codex)
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how it started (Greg Brockman's gpt-4 launch demo) how it's going (gpt-5-codex)

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Sam Altman on GPT 5: “ GPT-5 is the smartest thing. GPT-5 is smarter than us in almost every way. You know, and yet here we are. ” This might be the last podcast before the big release!
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gpt-5 broke me.
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gpt-5 broke me.

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We’ve been working closely with the OpenAI team to integrate GPT-5 into Devin. Starting today, you can select a preview version of Devin that uses GPT-5 as part of our agent orchestration. GPT-5 eval results 👇
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"Autonomous Snake Game" Model: GPT-5.2 Thinking (extended) It's probably the best implementation I've seen 🙌
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NEWS: OpenAI has officially unveiled GPT-5.
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Dylan Patel says GPT-5 is not a bigger model and did not gain intelligence through scale but through optimization. He highlights how OpenAI improved efficiency by cutting down wasted tokens compared to earlier o-series models. He adds that GPT-5’s new router system decides whether to use the base model, mini, or thinking, leading to faster and more efficient results. He points out that o3 could think for around 30 seconds, while GPT-5 only thinks for 5–10 seconds, meaning less compute is used per query.
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Dylan Patel says GPT-5 is not a bigger model and did not gain intelligence through scale but through optimization. He highlights how OpenAI improved efficiency by cutting down wasted tokens compared to earlier o-series models. He adds that GPT-5’s new router system decides whether to use the base model, mini, or thinking, leading to faster and more efficient results. He points out that o3 could think for around 30 seconds, while GPT-5 only thinks for 5–10 seconds, meaning less compute is used per query.

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Starting today, Azure AI Foundry is rolling out new multimodal models from OpenAI: GPT-Image-1-mini, GPT-realtime-mini, and GPT-audio-mini, plus major GPT-5 upgrades (including GPT-5-Pro). This joins the Microsoft Agent Framework, enabling customers to build agents across multiple modes in one secure integrated ecosystem. 🔗 Learn more:
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GPT-5 is now built into Xcode 26!
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