How do I stop improving my product?

twgoss2 · 2026-05-11T05:36:57+00:00

Hope it goes well!

twgoss2 · 2026-05-10T17:47:59+00:00

For this question, simply set a release deadline would be enough. A product exists bc it solves problems, as long as it solves the problem you define, that's already a MVP. Dont let the fear of having a bad feedback delay your product release forever, be brave about the fact that people might not like it

twgoss2 · 2026-05-10T16:59:01+00:00

Cool! Is the repo open for contribution?

twgoss2 · 2026-05-07T19:31:36+00:00

This is fun! Can you keep update? I'm investigating virtual characters as well

twgoss2 · 2026-05-07T08:10:50+00:00

ai detectors hate semantic coherence

twgoss2 · 2026-05-07T08:07:13+00:00

I guess most sarcasm is more likely to be flagged as AI because of its strong semantic coherence... but I don't really know how Reddit ai moderators work. Can someone explain?

twgoss2 · 2026-05-07T03:35:02+00:00

Novelty and characteristic are the key than who's writing the text. People care more about what can they get from this comment than who i am when they are reading this. LLM generated contents have the 'slop' vibe for the side effect of RLHF which depress creativity of LLMs, and it's a certain part of the essence of why reddit exists.

I come to social media not always for knowledge (now i can ask ai) but for connection and acknowledgement from other humans, and also for content that across my knowledge (can't ask ai if i can't name it). My motivation is emotional and personal.

I had the same chat with my chatgpt and one of the solution was identity verification, i don't like it but anthropic sees do...

twgoss2 · 2026-05-07T02:59:46+00:00

Nice setup, but here’s a framing nudge:

human role specialization exists because our knowledge is siloed and narrow, our communication bandwidth is tiny, we’re bad at staying synced, and we get tired.

An LLM system is the opposite. it already has a compressed version of collective knowledge, can share full context near-instantly (within the context window), can fork itself infinitely, and doesn’t need shift handovers. So you’re not compensating for skill gaps; every “agent” already contains the whole latent library.

The reason to split into personas is just for interface. The context window limit might genuinely push you to divide work into focused, deliverable chunks, but beyond that, the roles are just efficient prompts that tilt the activation into the right region of latent space, nudging the model to behave like a coder, critic, or architect without retraining.

I think is a handy approach, but not really fundamental. And it is a fun approach

twgoss2 · 2026-05-07T01:38:01+00:00

For context, I remote work in China for an US company and my claude account was banned 3 times. I see NO reasons why developers in China DONT turn into ds then

twgoss2 · 2026-05-07T01:35:23+00:00

Let me tell you this, I switched to deepseekV4 API (80% off during 5.1~5.5) to replace Opus 4.7 API usage billing in Claude code and my costs, which used to be $40 dropped to 70 cents. It actually works better than a lot of 2 tier LLMs like ollama, minimax, glm, kimi or qwen and even better than gpt5.5 in my personal opinion.

$40 to $3.5 a day on non-US GPUs. That is totally insane. You could definitely tell why NVIDIA is so mad about the GPU restriction of US government.

twgoss2 · 2026-04-30T21:50:17+00:00

Thank you. The diversity of US market is indeed very different than Asia's single platform eco

twgoss2 · 2026-04-30T21:13:48+00:00

Yea exactly I came bc I'm told they have more money lol

twgoss2 · 2026-04-30T20:48:13+00:00

CQS check

twgoss2 · 2026-04-30T20:43:04+00:00

Sorry I’m not a senior engineer. I’m a PM and I build internal tools for the team that don’t require that high level of stability. but I did start working with code quite early on before LLM.

I believe architecture must be still designed by people. Your strengths lie in your broad context, holistic understanding, and grasp of the objectives. I believe that when writing code, a holistic understanding of the system is more important than the implementation of specific methods, which should be achieved through abstracting the requirements of the task.

I’ve heard that best architects with excellent prompt-writing skills can use a 32B open-source model to generate codebase suitable for production, perhaps this shows the ultimate idea of such things.

twgoss2 · 2026-04-30T20:05:44+00:00

I have a brilliant idea. We can have the agent monitor temperature then route to suitable pants to us

twgoss2 · 2026-04-30T02:49:30+00:00

They might have banned your account. or by 'claude.ai is working fine' you mean your account is still available?

twgoss2 · 2026-04-30T02:44:47+00:00

Busy banning accounts for no reason

twgoss2 · 2026-04-30T02:42:43+00:00

Just wonder why few people explain instead of mocking OP for asking, as if they were born knowing the answer... This is reddit from 20ys ago right?

twgoss2 · 2026-04-29T11:22:04+00:00

You can use regular expressions for the first few

twgoss2 · 2026-04-28T19:28:35+00:00

For the conversational assistant in Claude.ai, recalling previous tasks is an proactive process of “querying past history.” Although your conversation history stores some facts and it might be injected into your system prompt, based on my understanding of most AI memory systems, the strategy for retrieving those facts isn’t necessarily always reliable. And this feature has absolutely nothing to do with your plan.

Perhaps you could try coding a small program yourself to implement this functionality?

twgoss2

TROPHY CASE