Wahab
11.8K posts

Wahab
@buildwahab
24 | Building with AI Interactive apps, games & experiments
INDIA Katılım Ocak 2026
953 Takip Edilen2.7K Takipçiler

I just got $175 in free AI credits and it took less than two minutes.
Agent Router is currently giving eligible new users free API credits, with access to models like GPT-5.6 Sol, Claude Opus 5, and Claude Opus 4.8.
The main requirement is that your GitHub account was created before 2025.
Sign up here:
agentrouter.org/register?aff=R…
Make sure you continue with GitHub, not Gmail or username login.
I tested GPT-5.6 Sol with Codex and it worked. Definitely worth claiming while it’s still available.


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Several times I already send ethical private messages to this guy @viktoroddy
Yet still he takes my work and resources I share (and for free) and just sell it on his subscription based website…
Probably he takes your work too
1 thing - “copy” to train and improve your design skills
1 thing - to bring to life your design ideas using Claude
And another - just steal work “using Claude” and then sell those prompts so that others can “build” it “under 1 minute”.
This has nothing to do with real process. I can design for weeks - and ask ai to turn my work into premade prompt with all html - so that then you can do it “under one minute”
And to copy existing project you don’t even need AI…


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@buildwahab Your DMs are closed. Follow or open your inbox and I’ll send you the full Mac and Windows setup guide there.
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@thebuggeddev @threejs I tried making same last week didn't went well so I gave up 😭
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Only if education could be this interactive ❤️🔥
I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it.
A 3D human anatomy application built with @threejs using GPT 5.6 Sol.
It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one.
Next, I converted each of those images into 3D models using @tripoai (and no, they didn't sponsor this 😄).
After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models.
Codex built the first version beautifully, but there was one big problem.
Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps.
After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand.
Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that.
The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step.
It genuinely felt like building something that could make learning anatomy much more engaging.
The inspiration came from @DilumSanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day."
And I did it :D
Live: anatomy-livid.vercel.app
Code: github.com/thebuggeddev/a…
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I gave Luna 5.6 (Max reasoning) one goal: build an FPS shooter from scratch.
Session time: 8h 57m
Total tokens: 203,001,324
Input: 202,216,365
Cached: 192,583,168 (~95%)
Uncached input: 9,633,197
Output: 784,959 (352,704 of them reasoning)
All of this cost 2% of my Codex Pro 5 subscription limit.
Link on game in reply 👇
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Turns out you can actually run Kimi K3 locally on your PC
@UnslothAI made it possible
Kimi K3 is a 2.8T parameter model, and they shrunk the 1-bit quant down to 594GB
you can run it on a mac studio with 128GB RAM using unsloth studio
unsloth studio makes the whole process seamless:
install → search for “Kimi K3” in the model hub → download the 1-bit quant → run
In case you’re wondering why people run AI locally:
- data privacy: everything stays on your machine. none of your prompts or code are sent to the company
- lower cost: once you have the hardware, there are no rate limits, subscriptions, or surprise bills
- offline use: it works even without an internet connection
but local AI isn’t for everyone
If you’d rather not run it yourself, you can use:
- Kimi app/web → kimi.com
- official API → platform.kimi.ai (pay per token)
- @OpenRouter and other providers
enjoy :)


Haleemah@Haleeeemahh
running Kimi K3 locally is easy you just need: - roughly 8 H100s - 1.5 TB of GPU memory - a power cord thicker than your wrist - a room that now doubles as a sauna and a landlord who does not ask about the humming sound
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@Bhavani_00007 Yeah i think it can reach but if it does getting banned by usa chances increases
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🚨 GPT-5.6 Zinc Leaks
- Zinc and Magnesium just surfaced in DesignArena, both still disabled.
- Likely updated versions of Sol and Terra.
- Timing is interesting, this is reportedly OpenAI's direct response to Claude Opus 5's release.
- Meanwhile Astra, OpenAI's actual GPT-6 prototype, is already solving previously unsolved math problems in internal testing.
- So OpenAI is running two tracks at once.
- Polishing GPT-5.6 for a quick counter-punch, while Astra quietly works on stuff that could redefine the next generation.
- Rollout may happen next this week
Can Zinc actually reach Fable 5 level atleast?

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Nikita on seeing this news
Polymarket@Polymarket
JUST IN: YouTube has reportedly deleted 130,000 channels in a sweeping crackdown on AI-generated “slop.”
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DeepSeek-V4-Flash vs Gemini-3.6-Flash
both given the exact same prompt to build 3D pirate ship
Cost:
> deepseek-v4-flash: $0.14 / $0.28
> gemini-3.6-flash: $1.50 / $7.50
though deepseek is 20x cheaper, gemini was surprising faster with the output
Prompt used:
"build a 3D model of pirate ship in Three js with minimal dashboard buttons in light theme background, with wide view of the pirate ship"
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@MiaAI_lab Thanks for the tip saved it will use once I have dgx spark
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OpenAI 这次没继续刷 benchmark
直接把 Astra 丢进了 10 个至少十年没进展的数学问题
找解总 token 按 Sol API 价格算约 2000 美元
人类整理稿件 模型再给每份证明做 Lean certificate
证明和代码也一起放出来了
这次我会把它当成比跑分硬得多的一次能力展示
但先不喊“数学被解决”
形式化验证能检查推导 不等于十项结果已经完成同行审查
接下来几周更有意思
数学家能不能挑出错误
这些思路还能不能继续长出新结果
官方说明
openai.com/index/ten-adva…
Lean 证明
github.com/openai/ten-pro…
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using GPT 5.6 Sol, i vibecoded chess,
but every player gets 2 consecutive moves instead of 1.
play it here: anul.space/doublemoveches…
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@SahilPanhotra I've seen plenty of teams ship fast and still end up rebuilding everything.
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🚨 Gemini 3.5 Pro Leaks: It will Drop This month
> Current expectations point to a release Early this month
> Gemini 3.5 Pro is still being tested with trusted partners
> The model keeps briefly appearing in LM Arena before disappearing
> Public A/B testing appears to be continuing
> Google has yet to announce a release date
> The model has now missed multiple expected launch windows
Do you think Gemini 3.5 Pro finally launches this month?

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Local V4 Flash is not a "runs / does not run" checkbox. Context window, speculative decode, KV precision, and concurrency are a workload decision.
The right configuration is the one that keeps tool success and verifier pass rate stable, not the largest context you can load.
That is the distinction I want a coding-agent runtime to expose.
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@buildwahab First attempt only is a useful stress test. I would add machine-checkable conditions too: the lander reaches the pad, avoids collisions, controls work, and the build is reproducible. Video taste can pick a winner; those invariants tell us what actually shipped.
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