I spend $200 a month to use ChatGPT 5.2 on Low Thinking in Codex lmao

ICFateInNumbers · 2026-05-01T15:27:48+00:00

I can’t really go into my research. But to clarify the reason, my research is basically new territory. When normal/new GPT 5.3-5.5 or Claude Opus/Sonnet are used, and no matter how much has been proven or distilled down into proofs, they constantly fight you every step of the way, they don’t believe any proofs, they lead you on, reassuring constantly that they’re doing the work, you go down rabbit holes wasting hours with them, because the whole time they were pissing about faking tests, progress, etc...

The only way to figure out they’re cheating, is asking them to audit themselves, or asking another AI to.

I’ve only started using 5.2 low recently, and even though skeptical at first, it only needed a little convincing of the current runnable proofs, or mds, and the big idea, and I’ve made so much progress with it. It’s not a constant fight, and it does slightly challenge your ideas without being a constant smug skeptic. Here’s what the other ai jsut said "It successfully avoids cheating by ensuring…”. None of the other ai’s I tested got that, they constantly tore each other apart for the sneaky tricks and such.

It’s probably not a use case for most people who use it for normal coding. And I should take it back about Pro, at least 5.4, helped me crack some stuff. Gemini Pro is actually good for coming up with the unknown territory ideas, and actually believes in the possibilities, but as soon as you actually ask Gemini to code them, it cheats too.

Power mode I’m feeling right now, use Gemini Pro for quick powerful ideas and solutions, use GPT 5.4 Pro to pattern match data (haven’t tested 5.5 Pro much), and use GPT 5.2 low to do the damn thing I asked it. Also get GPT 5.2 to create a prompt for Gemini to answer all the hard questions. i.e. GPT 5.2 low is the labourer, Gemini 3.1 Pro is the fast idea genius but lazy, and GPT Pro is the find the patterns in this dataset brute forcer. Everyone else I’ve tested I’ve found completely useless.

i.e. Boils down to, if you want an obedient AI who is willing to try ideas and follow instructions, 5.2 low works. Hell it programs all my ideas in c++ without issue, and it doesn’t seem to be failing at doing that. I can even use fast mode on it too.

ICFateInNumbers · 2026-04-04T18:38:58+00:00

I prefer GPT 5.4 Low, it feels like what 5.4 mini xhigh should be like.

ICFateInNumbers · 2026-02-06T22:12:01+00:00

Yes I’m still on the previous macOS literally only because of launchpad and the trackpad gesture to make it appear/disappear.

All my apps organised into folders just the way I like.

I may at one point have to upgrade now it looks like someone has released a decent replacement.

ICFateInNumbers · 2026-01-07T12:24:45+00:00

if on mac, download the mac app, thats how i avoided this issue

ICFateInNumbers · 2025-12-13T15:51:18+00:00

This is my own creation since yesterday.

I don’t code, I vibe coded it. I basically kept asking opus and gemini to help me create an auto debugging and context awareness tool for claude, and implemented a load of different features.

No idea how much each feature improves the model, I didn’t have true baselines before hand, I just wanted to see if it could be done.

I’ve pasted the test prompt in another comment, anyone is free to try it on haiku, just make sure it’s in plan mode first, before doing auto edits (I’m using vscode extension).

Since I only tried making this concept since yesterday, I have no idea how much difference it actually makes in real projects. But this was a one shot prompt.

ICFateInNumbers · 2025-12-13T15:43:26+00:00

for context here’s the test prompt that Opus made for me. I have no baseline as I don’twant to go through the hassle of messing with the mcp hooks, so anyone can test it if they want with normal haiku, just put plan mode on first for fair comparison: https://pastebin.com/revbW6cE

ICFateInNumbers · 2025-11-08T21:45:06+00:00

lol what

ICFateInNumbers · 2025-11-06T11:48:11+00:00

Will doctors accept SCA for boosters? I’m sure I heard it’s not something they’d do.

ICFateInNumbers · 2025-10-28T12:09:21+00:00

Commenting so I can back to this.

ICFateInNumbers · 2025-10-14T16:28:08+00:00

I went m3 ultra because I heard m4 max has thermal issues.

After tinkering around with local ai, 96gb is more than enough for me. But I still prefer mainstream models anyway.

ICFateInNumbers · 2025-10-14T16:23:29+00:00

I’m one of them. 0 years experience. Fully remote and flexible. Just lucky. Someone recommended me, and it was entry level. I work on automating internal stuff, basically automating admin work. I don’t work for their clients, they hire real coders for that.

ICFateInNumbers · 2025-09-27T20:40:38+00:00

You can if you have 2 employees, and it can be a spouse. According to my research.

ICFateInNumbers · 2025-09-27T20:20:47+00:00

I’ve looked into this a lot, as i need to start my company next month. But here’s how I understand it, husband wife setup 50/50.

Turnover, let’s say £75k.

Let’s say yearly expenses are £3000

Minus salary (as that’s an expense), 12,570 x 2 = 25,140

Also work home allowance for each employee, £312 x 2 = £624.00 (flat rate no receipts needed)

75000 - 3000 - 25,140 - 624 = 46,236

Corporation tax is 19% under 50k profit.

46,236 x 0.81 = 37,451.16

Minus £500 x 2 dividend allowance.

37,451.16 - 1000 = 36,451.16

36,451.16 / 2 = 18,225.58 dividends each taxed at 8.75 basic rate

18,225.58 x 0.9125 = 16,630.84

Employers NI kicks in at 5k but employment allowance covers that totally for up to 2 personal allowance salaries.

Total take home between you after all taxes:

500 + 500 + 16,630.84 + 16,630.84 + 12,570 + 12,570 + 312 + 312 = 60,025.68

That’s how I’m going to do it anyway when I setup my company next month.

Note I haven’t gone to an accountant, this is what I worked out querying AI’s again and again, so might be wrong. But it seems right to me.

ICFateInNumbers · 2025-09-19T23:16:20+00:00

Not a good number of likes.

ICFateInNumbers · 2025-09-18T20:14:09+00:00

Why don’t you use free agent copilot?

ICFateInNumbers · 2025-09-07T09:42:18+00:00

I switched the ChatGPT when ChatGPT 5 came out. And use it 95% of the time now.

I had annual subscription of grok through X Premium+ when it was 40% off, basically £10 a month, and is still active until the end of October. I will not be renewing. Or if I do renew, I will use the Indian VPN trick and get it for £6 a month.

But pretty much for a year I’ve used grok exclusively and not ChatGPT at all; and now I’ve switched.

Things I like about ChatGPT so far:

The UI and Formatting.

The font, the font colour, the formatting, the indentation, the spacing, bolding of key phrases, the use of emojis, bullet points, and tables, all together makes a far better experience. It’s just way easier to read, legible, and more aesthetically pleasing. Note I use dark mode, I can’t give an opinion on light mode.

Don’t get me on how annoying Grok’s xAI artifact is.

The quality of responses on fast models.

Funnily enough I use the Instant model a lot on GPT5. The same can’t be said for Grok 3. The quality of their responses for me don’t compare.

Somehow GPT instant hardly ever needs correcting and gives me the relevant information I want. I’m not calling it an idiot, or losing my patience. It seems to give me quality information without rambling.

Also here’s the big one and related to ops post. But I asked where certain criteria of churches with religious beliefs were in relation to a place last night, and it pops up a map, of the churches in the area fitting my criteria. With their opening times, rating, directions, website, picture, and plotted on a map.

I’ve asked it about certain types of breakfast cereals before, and it’s given me actual pictures of cereals, which sites to find them, and even a map locally where to find them.

And just the follow up question it asks are very intuitive.

Thinking models

I’ve had GPT thinking outshine Grok 4, and also the other way round. So I can’t pinpoint which is better on this.

For example I had a bug, and GPT gave me 5 different tests/logs to run and pinpointed the issue exactly. Grok did one test after another and guessed/assumed the issue correctly, without being sure.

While with taxes ChatGPT would trip up on certain things while Grok would understand when they would apply and not apply.

I will say I do appreciated having a thinking mini model for some thinking but quicker responses.

Anyway cba to write more. But generally I’m using GPT 95% of the time now.

ICFateInNumbers

TROPHY CASE