Ram

[Ram @harimarkat11]

https://t.co/D31knEnF31

Small contribution towards opensource 😅

[Ram @harimarkat11]

@intheworldofai App name

[Ram @harimarkat11]

@DarioAmodei We need to actively support and contribute to open-source AI. It's the only way to ensure the technology remains accessible and isn't controlled by a few powerful players like Dario Amodei, who will otherwise exploit their dominance for their own benefit.

[Ram @harimarkat11]

@0xSlyth @0xQiYan https://t.co/D31knEnF31

Try out this once

[Ram @harimarkat11]

@0xQiYan https://t.co/D31knEnF31

Check out once

[Ram @harimarkat11]

@MaxForAI One thing I have noticed that is grok 4.6 is 1.5 trillion parameter but it is beating deepseek V4 pro which is 1.6 trillion parameter model

[Ram @harimarkat11]

@Ubannoblesse @liticx_ @deepseek_ai @AnthropicAI Can give us access too?

[Ram @harimarkat11]

@Ubannoblesse @deepseek_ai @AnthropicAI Can give ultra agressive jailbreak prompt so we it never get refuse to answer anything.

[Ram @harimarkat11]

@Ubannoblesse @Meta @metaai What about muse spark 1.2 jailbreak prompt?

[Ram @harimarkat11]

@Ubannoblesse @alibaba_cloud @Alibaba_Qwen We need ultra agressively uncensored!

[Qwen @Alibaba_Qwen]

📢Meet Qwen3.8-Max — our most capable model to date.

Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉

Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters:

- Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub：https://t.co/iVHZWQoeSo
- Real work, real results: Production-quality deliverables across hundreds of professions.
- Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy.
- Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction.

💰Pricing:
Input: $2.0 / M tokens
Output: $6.0 / M tokens
Implicit Caching: $0.25 / M tokens

Start building with Qwen3.8-Max! 🚀

📖 Blog: https://t.co/iwjmQxLBof
✅ Qwen Studio: https://t.co/4V2pFvDovG
⚡ API: https://t.co/gAGqaLQGbN

[Ram @harimarkat11]

@kimmonismus Waiting for deepseek V4 Pro 😮

[Ram @harimarkat11]

@Ubannoblesse Thanks 👍🏻

[Ram @harimarkat11]

@ARE34RED Dm me

[Ram @harimarkat11]

@ARE34RED Hi

[Ram @harimarkat11]

@Sarthak4Alpha Minimax M3 is about 2.7 trillion parameter

[Ram @harimarkat11]

@Alibaba_Qwen Please focus on DeepSWE benchmark

[Venkatesh @Venkydotdev]

for real 😂

[Ram @harimarkat11]

@Venkydotdev 🤣🤣

[Ram @harimarkat11]

@Ubannoblesse Hi