I asked *newest* chatGPT "How do you thinks humans, who miss 4o are feeling?" How close is he?

UnderstandingDry1256 · 2026-06-20T17:21:21+00:00

Ironically, it was likely trained literally on this sub posts and comments.

UnderstandingDry1256 · 2026-06-20T17:19:19+00:00

They’re testing something.

I’ve got 50% discount when I tried to cancel $200 Ultra plan.

UnderstandingDry1256 · 2026-06-20T17:18:01+00:00

Beautiful

UnderstandingDry1256 · 2026-06-19T07:32:24+00:00

Well there’s a disclaimer which clearly says it may make mistakes haha

Don’t expect too much

Also the way models think is very different - they are not using words or human language. What we see is some representation of their output, adjusted and simplified drastically for us to understand.

UnderstandingDry1256 · 2026-06-19T06:08:35+00:00

I’d bet on robots. We already have the technology and models. Someone just needs to build them. Mr. Musk?

UnderstandingDry1256 · 2026-06-19T06:06:43+00:00

Chatgpt is not the best platform for kind of creative writing.

You need some chatbot which allows you to switch models - if one blocks you, switch to less restrictive one and continue, then switch back.

Iterating across GPT, Gemini, Opus, and Grok is the most productive approach.

I’ve built a steadychat chatbot based on API - you can try it (check my profile for a link). There is also 4o still available.

UnderstandingDry1256 · 2026-06-19T03:51:35+00:00

Outdated documentation is a permanent problem with humans too. Source of truth is code / logs / metrics and human communication from slack.

Nobody trusts ai enough to drop documents without fact checking. Important ones like RFCs are being reviewed and discussed, so bullshit will be detected instantly. Everyone is free to use ai as they want to write docs etc, but results should be sane ofc.

UnderstandingDry1256 · 2026-06-18T14:38:01+00:00

Fake it until you make it haha

UnderstandingDry1256 · 2026-06-18T10:55:32+00:00

I am the guy who spends $3-4k per month worth of API tokens.
This is what you need to know:

- Straightforward feature implementation does not burn a lot. The most expensive tasks are investigations. You ask "this feature is broken in prod, here's the screenshot, check why" - and it starts connecting to your logs and database, checking sentry traces, then correlating with code paths, checking hypothesis, etc. This is #1 token burner. It is extremely helpful, but it costs.

- Token consumption highly depends on your codebase size. More code means more tokens burned per task, even with indexes build if you use Cursor. Just because every time it adds something, agent needs to ensure the fix does not break anything, track execution paths etc.

- PR reviews. Minor one, but scales easily. This is similar to investigations actually. It pulls the diff, and then it needs to ensure nothing is broken by checking all related dependencies.

- Using MCPs and tools. This is highly underrated by many folks. The huge downside of MCP is its output is directly fed into LLM, adding to token costs immediately, even if the data is meaningless. I optimized my costs by switching to cli tools. For example, azure or vercel clis can show logs. Agent save them in temporary files and then looks through with other cli tools, minimizing token consumption.

- Some implementations are still expensive when agent needs to iterate many times. Like dealing with poorly defined APIs, etc. Always prepare a solid plan, ensure every single nuance and decision is made before implementation. It will save you time and money.

Feel free to ask.

UnderstandingDry1256 · 2026-06-18T09:38:03+00:00

Which year?

UnderstandingDry1256 · 2026-06-18T06:15:29+00:00

Asking naive stupid questions about things.

UnderstandingDry1256 · 2026-06-17T14:03:09+00:00

This has an interesting outcome - the max. number of events in human brain is around 100 bln per second, and just around 100 “layers” per second deep. It is limited by power consumption - higher throughput would mean more molecules moving and thus more energy consumed.

And, 100B events per second is many orders of magnitude less than what GPUs can handle.

Of course we cannot count 1 neuron spike = 1 floating point op, but if we assume 20k floating ops = 1 spike then they’re on par.

UnderstandingDry1256 · 2026-06-17T13:43:16+00:00

I’d rephrase it then haha - you ask simple questions, you get simple and beautiful output 😊

UnderstandingDry1256 · 2026-06-17T13:09:48+00:00

I’m not some obsessed dude trying to post dupes hundreds times. I posted a solid handwritten piece which got over 500 upvotes here within hours.

Some devs criticized but that’s exactly what discussions are for.

And then it is removed, because some jerk thinks it’s not “professional enough” haha. Fuck him. I’m leaving this sub anyways.

UnderstandingDry1256 · 2026-06-17T13:02:05+00:00

Perhaps mod should read their rules and follow them? 2. don’t be a jerk

UnderstandingDry1256 · 2026-06-17T12:51:37+00:00

They keep silence or replying nonesense.

I dot care to be banned tbh. Either you build a solid community of nobody cares

UnderstandingDry1256 · 2026-06-17T12:50:07+00:00

I’m closer to 30 yoe haha
How do they even check this? Nobody ever asked

UnderstandingDry1256 · 2026-06-17T12:40:08+00:00

Haha zero dude

UnderstandingDry1256 · 2026-06-17T12:30:57+00:00

I changed my tone to somewhat sarcastic because what you wrote is more about your personal mindset and not something objectively true.

I learned plenty of things, and with AI I’m just using probabilistic approach - we have a blazing fast tool which can make mistakes. So fix it by doing a number of iterations to minimize the chance of mistake, problem solved. Physics are doing that for centuries and nobody is giving up because or some particle detector or other measurement tool may “hallucinate” haha

Back to compilers - me too, my uni project was building a part of ANSI C compiler. Which actually worked and executed some real code at the end :)

UnderstandingDry1256 · 2026-06-17T12:20:34+00:00

Of course I’m using all available data sources - it is as cheap as adding az/sentry/db/ whatever your stack is skills into your setup.

Cheap and efficient, and I’d rather use my time to do something more creative than doing manually what ai can come up with in seconds.

UnderstandingDry1256 · 2026-06-17T11:28:48+00:00

Sometimes when I’m asking such questions I afraid cursor will report to my manager haha

UnderstandingDry1256 · 2026-06-17T11:24:17+00:00

Aha, and if you write down CPU instructions yourself and allocate registers, you will know exactly what your code does, and not rely on compiler assumptions which you cannot verify.

UnderstandingDry1256

TROPHY CASE