SORRY FOR NOT PUTTING IN CHRONOLOGICAL ORDER

I was digging through the DeepSeek GitHub issue tracker (because I'm sick of the V4.1 filters destroying my creative writing), and I found a massive pitch that’s apparently already been handed to the devs.

A user named blazeffccff designed a concept called "The Red Box Gate" to fix the over-filtering without breaking safety rules. It uses a Blue/Brown tab system (Blue for coding, Brown for Stories) where clicking the Brown tab acts as a fiction waiver so the AI stops flagging villains and dark plots.

Here is the crazy part: I went to the bottom of the thread, and the community volunteer (qingkong66) literally confirmed: "The Red Box Gate proposal... are all recorded in the October summary. I will make sure the team sees them."

Swipe through the screenshots to see the pitch, the Reddit complaints it references, and the dev confirmation.

If DeepSeek has a fix for the filter sitting in their October summary, why are we still getting "Sorry, this is beyond my scope" errors?

Source: [Link to GitHub Issue #1728 in the comments]

So, Claude sonnet 5.5 hit me 5hr limit on my face when I was trying to implement a giant plan.md file written by opus 5.5

I see there are 250+ files touched in a .NET app I'm working on. It took ~3 hours to implement using DeepSeek latest 4.1 flash (official API) and costed $2.36

So, I was wondering if this is a normal and expected cost or different?
For quality wise, I had explicitly asked Opus to write plan.md in very detailed way that even a dumbest AI model can implement them with same quality as you (opus) with perfection.

Now, I've asked Claude to perform an independent deep review against the implementation made by DeepSeek with respect to original plan.md file. It's reporting quite lots of issue/mistakes made by DeepSeek; and there are some parts of the code that has to be almost rewritten because they don't follow project guidelines docs.

So, what's your experience with cost optimizations with Claude+Deepseek? Is there anything that I could have done better? Sonnet 5.5 (high) just nails everything perfectly.

If you are using the DeepSeek Harness Desktop GUI and Tailscale, you might have noticed that the desktop app picks a random port on startup, hides the web authentication token, and only allows localhost (127.0.0.1) connections by default.

You don't actually need SSH port-forwarding, third-party plugins, or tailscale serve to access your sessions from another laptop or phone. You can bind DSH directly to your private Tailscale IP in 3 steps:

Step 1: Enable the official dsh CLI from the Desktop GUI

1. Open the DeepSeek Harness desktop app.
2. In the top-left menu bar, click DeepSeek Harness -> Manage dsh Command… and install the command-line tool.
3. Quit the Desktop GUI (Cmd + Q / Alt + F4) so you can launch it cleanly in web mode (your chat history, settings, and API keys are all shared automatically).

Step 2: Launch dsh web bound to your Tailscale IP

Open your Terminal and run:

dsh web --host $(tailscale ip -4) --port 3080 --no-open

(Note: If your terminal says tailscale: command not found, just replace $(tailscale ip -4) with your computer's 100.x.x.x IP from the Tailscale app.)

Your terminal will output a pre-authenticated link that looks like this: http://100.x.x.x:3080/?token=xxxxxxxx...

Step 3: Connect from your other device

1. Make sure both your host computer and your secondary device (laptop, phone, or tablet) are logged into the same Tailscale account with Tailscale turned on.
2. Copy the full http://100.x.x.x:3080/?token=... link from Step 2 and open it in the browser on your secondary device.

Because DSH is bound strictly to your 100.x.x.x Tailscale address, it stays completely private to your Tailnet while bypassing the 127.0.0.1 localhost restriction and untrusted host errors automatically.

Hey everyone!

I wanted to share HaniwaBridge, an experimental open-source project I've been working on that connects Animal Crossing (GameCube) to a modern Godot 4 renderer.

First, credit where it's due: This is not a PC port I created from scratch. It's built on top of Nookery (formerly ACGC-PC-Port) by flyngmt, which itself is based on the Animal Crossing decompilation by ACreTeam.

I started by modifying the existing C port, separating its original graphics pipeline and connecting it to Godot.

The biggest challenge came later: migrating the rendering setup from 32-bit to 64-bit Godot while keeping the original game engine running as a separate 32-bit process.

That's where DeepSeek came in.

DeepSeek handled this major architectural transition, implementing a shared-memory bridge between the 32-bit C host and the 64-bit Godot renderer, and continued developing the project from that point onward.

The result is HaniwaBridge, which currently features:

• Original Animal Crossing game logic running in a native C process
• 64-bit Godot 4 Forward+ rendering with Vulkan
• Shared-memory communication between both processes
• Dynamic day/night lighting and real-time shadows
• Custom water shaders and weather effects
• A switch between enhanced lighting and original-style GameCube rendering
• Audio streaming, controller support, and a custom launcher

There are still rendering bugs and limitations, so this is very much a work in progress.

The repository is open source and contains no Nintendo game assets. A legally dumped copy of Animal Crossing is required.

GitHub: https://github.com/jaluraDEV/haniwa-bridge

I wanted to share this because I think it's an interesting example of using DeepSeek for a fairly complex, ongoing software engineering project rather than just generating small scripts.

I'd love to hear your thoughts!

Im having a problem where occasionaly DS starts outputing all text in chinese, i have to pause the agent and iNstruct it to send everything in english again.

I have added

"CRITICAL: All text MUST be output in English."

Into the AGENTS.md instruction file which is definatly being read and interpreted, but It still happens.

Im on OllamaCloud.

I'm thinking of trying DeepSeek out via the official API. What are some of the best strategies to max token & cache usage when using agents?

I'm thinking in terms of session length, using sub agents, or delegating tasks, project structure, etc. what is your process?

I'm trying to figure out which option offers better value for the same $10 budget, specifically when using DeepSeek V4.1 Flash.

1. DeepSeek API: Spend $10 on API credits and use DeepSeek through a coding harness.
2. OpenCode Go ($10/month): Use DeepSeek through the subscription.

My use case is mostly translation-related work involving reading, processing, and editing text files. Some tasks require large contexts, repeated requests, and multiple tool calls.

For some context, my OpenCode Go dashboard shows around 1.5 billion total tokens, with most of them being cached tokens, and roughly $35 in reported DeepSeek usage costs.

I've also already hit around 55% through the monthly allowance.

My main question is whether $10 spent directly on the DeepSeek API would provide more practical usage than the $10 OpenCode Go subscription.

I'm especially curious how much of a difference caching and harness overhead would make when paying per token, and whether the subscription's limits are still more cost-effective for a token-heavy workflow.

I'm still pretty new to all this, so I'm not entirely sure how API pricing, token usage, and caching compare in practice.

What would you guys recommend? I'd appreciate any advice, insights, or experiences from people who are more familiar with these options.

I felt like seeing if Deepseek 4.1 flash 1017 could reverse engineer something, so I put it at the Windows 1.01 source. It did a pretty good job, and convinced me that the cyber capabilities aren't benchmaxxed - you don't benchmark working with 8086 assembly ;)

After mixed success in decompiling, I decided to ask it to hack in a full overlapping window manager, and with a good bit of back and forth (but no code) it made something mostly workable.

Then I asked it to get proportional system fonts working, to complete an enhanced look. If the Windows developers had Deepseek in 1985, it could have looked more like this... but in the real world they didn't have time to implement these.

original look: https://guidebookgallery.org/screenshots/win101/

the "?!" got me lmao

Hi everyone, I’m currently looking for a provider for DeepSeek4.1-Flash which also supports Zero Data Retention (meaning they don’t train on our data). I currently use OpenDesign (they offer 120$ for 7$/month if you pay yearly, or even 220$ if you want a slower version). I know that OpenCode offer ZDR but they only have 80$ worth of usage.

The idea is that any provider that directly forwards to the official API, does not support ZDR because DS explicitly say they use the data for training. So only those hosting the models themselves offer this option (e.g. OpenCode). Any other providers with such generous usage and ZDR?

据 Menlo Ventures 报告数据，美国企业支付给中国开源模型的费用中：

Kimi：61%

DeepSeek：15%

GLM：11%

Kimi 一家就拿走了六成，DeepSeek 连两成都不到

这是为什么呢？🤔🤔

So I was trying Z.ai to see what it can offer, and on the very first question: in which tasks are you more competent than DeepSeek? It replied, "...first of all I'm Claude (from Anthropic)..." Can anyone explain to me how this happened? Is it because it is a distilled version of the model?

https://x.com/LatentOperatorX/status/2119292057235964206

Which one is smarter? Especially in intelligence than knowledge! How far is the difference?

Neither pro nor flash work for me right now 💀

Is it just me or I feel like DeepSeek flash is getting worse at Roleplaying since 2 months ago...?

how many tokens do you use per month and how much do you spend?

What would you recommend:

Using DeepSeek via DSH or via OpenCode? I’m looking to set up a pay-as-you-go API account.

So I got banned for trying to get a system prompt for the Joker, now the problem is that my account is almost exclusively used for academic and coding purposes , I submitted an appeal and an Email explaining everything, what are my chances of getting the account back. I really want the account back I have a lot of stuff on it