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GPT-5.5 Achieves Breakthrough in Long-Running Task Reliability

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@petergostev

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23 April 2026 20h17

GPT-5.5 is MUCH more reliable on longer running tasks – for the first time with any model.

As we speak I have a migration running for over 7+ hours – this literally never happened before, the models would maybe run for 30 mins or of you really shout at them for 2-3 hours.… pic.twitter.com/nxdrKZnOzW
— Peter Gostev (@petergostev) 23 avril 2026

GPT-5.5 is MUCH more reliable on longer running tasks – for the first time with any model. As we speak I have a migration running for over 7+ hours – this literally never happened before, the models would maybe run for 30 mins or of you really shout at them for 2-3 hours.

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23 April 2026
GPT-5.5 Demonstrates Significantly Enhanced Capabilities Over Previous

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@petergostev

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23 April 2026 20h07

When using GPT-5.5, it is instantly noticeable how much more powerful it is.

In Codex, I gave it a very complex prompt to create London Toy Railway with landmarks and seasons – it did an excellent job in one shot.

In the second half of the video you see GPT-5.4 – it was also… pic.twitter.com/zmAgrAsYil
— Peter Gostev (@petergostev) 23 avril 2026

When using GPT-5.5, it is instantly noticeable how much more powerful it is. In Codex, I gave it a very complex prompt to create London Toy Railway with landmarks and seasons – it did an excellent job in one shot. In the second half of the video you see GPT-5.4 – it was also

→ View original post on X — @petergostev,

23 April 2026
ChatGPT analyzes spending patterns to predict future financial situations

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@petergostev

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23 April 2026 11h04

Oh wow, if you feed your bank statements to ChatGPT, it can show you what you'd look like in 10 years time if you maintain your level of spending

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23 April 2026
Balancing latency considerations in AI generation systems

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@petergostev

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22 April 2026 17h38

For now the consideration was latency, it could take a few minutes to generate, but we'll see if it would be worth doing on balance

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22 April 2026
ChatGPT Thinking vs API: How AI Models Process Information

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@petergostev

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22 April 2026 17h30

It was Medium and I'm not 100% sure how thinking works in ChatGPT and whether it was equivalent – I would say it is equivalent to how the API works, so I think ChatGPT thinking would be different.

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22 April 2026
Image Quality Comparison: High Resolution vs Low Resolution AI Outputs

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@petergostev

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22 April 2026 17h23

PSA: High (4k) vs Low (1k) quality: both are not bad, but if you zoom in, the high quality has substantially more detail and no errors, while the low quality very notesable issues with text rendering. ChatGPT itself has another layer of complexity for Thinking, but these are

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22 April 2026
Resolution Impact on AI Image Generation Quality and Output

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@petergostev

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22 April 2026 9h10

Yes resolution could impact the quality of the output too – basically if it generates more pixels it has more opportunity to do a better job, so this isn't just an upscale. But they are also saying it is an experimental feature, so could create random issues too potentially

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22 April 2026
Professional AI Users Seeking to Test Model Token Limits

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@petergostev

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22 April 2026 1h41

As a PROfessional user of AI, what I'm looking for is to go to a website, put in a prompt and hit the limit before it gets to an answer

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22 April 2026
Optimize Image Quality Settings for AI Generation Tools

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@petergostev

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22 April 2026 1h08

One important note – there is a 'quality' setting and this looks like 'low' to me, I don't know how this gets handled in chatgpt, but on the playground you can select the 'high' setting and '4k' resolution, it will be a lot better I promise, I did like a 100 of these.

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22 April 2026
Using GPT Image and Codex to improve UI implementation

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@petergostev

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22 April 2026 0h39

GPT Image 2 + Codex: or how to make Codex not suck at UI.

Step 1: Generate a UI image (native in Codex)
Step 2: Get Codex to implement the UI based on it
Step 3: Get Codex to iterate until it aligns with the image as much as possible

Codex is bad at initial UI, but very good at… pic.twitter.com/3ln7vRIWp2
— Peter Gostev (@petergostev) 21 avril 2026

GPT Image 2 + Codex: or how to make Codex not suck at UI. Step 1: Generate a UI image (native in Codex)
Step 2: Get Codex to implement the UI based on it
Step 3: Get Codex to iterate until it aligns with the image as much as possible Codex is bad at initial UI, but very good at

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22 April 2026

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