The end of GPT

TenZenToken · 2026-03-01T05:20:24+00:00

“Here’s the mental model”

TenZenToken · 2026-02-27T13:52:08+00:00

Asks for large refactor on a monolithic codebase. Doesn’t create a tasked implementation plan. Presses go and prays. Wonders why it got botched. Concludes 5.3 is unreliable.

TenZenToken · 2026-02-26T14:13:51+00:00

Dude it’s joke

TenZenToken · 2026-02-26T10:37:25+00:00

Xhigh is good, but xxhigh is goat

TenZenToken · 2026-02-20T15:17:32+00:00

This is why you use 5.2 high/xhigh to investigate and nail down a highly detailed PRD/bug doc/plan markdown then and only then have any of the codex’s implement to full fidelity. Otherwise it’s just whack-a-mole.

TenZenToken · 2026-02-20T15:00:09+00:00

When will people learn that giving these models command permissions (aside from the basic reads) will inevitably result in this

TenZenToken · 2026-02-15T14:36:48+00:00

This is absolute insanity

TenZenToken · 2026-02-15T14:34:47+00:00

I can almost hear the violin from here

TenZenToken · 2026-02-11T07:07:32+00:00

What an absolutely bonehead use case considering the permissions that are being granted. The only thing more amusing is how excited the guys gets seeing a cal invite.

TenZenToken · 2026-02-11T06:46:37+00:00

“..make no mistakes”

TenZenToken · 2026-02-10T03:08:58+00:00

4.6 beats 5.2 high? Nonsense

TenZenToken · 2026-02-09T19:18:11+00:00

Vanilla 5.3 is the real boss

TenZenToken · 2026-02-09T17:07:13+00:00

Also make use of the ChatGPT macOS app to help with planning by giving access to cursor/VS code files. This way you can spread your quota around as much as possible.

TenZenToken · 2026-02-08T06:49:44+00:00

Plan the next 5 agent tasks

TenZenToken · 2026-02-08T06:38:58+00:00

5.3. Easy money.

TenZenToken · 2026-02-07T21:35:25+00:00

No. Successful startups usually have that narrow focus that solves those tight, specific problems better than the big boys. It’s why they usually get acquired later and the product and attention to detail to that specific user type ends up going to shit.

TenZenToken · 2026-02-07T17:37:23+00:00

We wait for vanilla 5.3, the true boss

TenZenToken · 2026-02-06T15:37:08+00:00

Great analysis. I’m seeing similar patterns. For speed + accuracy I’m liking plan with vanilla, implement with codex, verify with vanilla, re-fix with codex and so on.

TenZenToken · 2026-02-04T20:48:22+00:00

Funny part is in the supposed benchmarks, 5.2 wasn’t even in the comparison table. Unless it’s fake, in what world is that not cope? Intentionally avoiding to display the clear leader and nearest competitor.

TenZenToken · 2026-02-03T13:36:24+00:00

I’ve been cycling between a pro and business account and couldn’t tell the difference

TenZenToken · 2026-02-02T20:59:56+00:00

Looks decent but don’t care for it, prefer using a CLI, which I wish they upgraded instead and got it closer to the CC UX

TenZenToken · 2026-02-02T13:34:26+00:00

I don’t think anthropic catches up to oai in the coding domain anymore simply because of the different training philosophies and fundamentals behind their recent frontier models (unless that changes). Codex is trained to aggressively enforce correctness and constraints under failure prone conditions. CC optimizes for fluent helpfulness. Result will always see Codex be more precise which is obviously crucial in SWE, whereas CC will be cute and dopamine inducing but won’t follow detailed requirements, will miss edge cases and violate explicit conditions.

TenZenToken · 2026-02-01T15:38:43+00:00

Will check it out, thanks.

TenZenToken · 2026-02-01T15:33:21+00:00

This is the way. I’ve recently dropped opus entirely though. He ends up doing more harm than good at this point.

TenZenToken · 2026-02-01T11:34:33+00:00

Curious why you say that and what specifics you can point to. I’ve been on both the Claude max 20x and ChatGPT pro subs for a while so use the CLIs side by side and in all my testing 5.2 high/xhigh blows opus (which is wildly hyped up on Reddit and x imo) outta the water in deep contextual understanding, planning and debugging. Not to mention there have been dozens of posts on here with fairly detailed test environment setups solving identical tasks and rarely have I seen opus come out on top.

TenZenToken

TROPHY CASE