seepdeek

genai @Nvidia make agi, not love

[Ilya Sutskever @ilyasut]

🇺🇸🦅250!

[seepdeek @tom1ong]

@elonmusk hbd elon!

[seepdeek @tom1ong]

to the moon! 🚀

[Elon Musk @elonmusk]

🚀 🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀🚀

[DeepSeek @deepseek_ai]

🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length.

🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models.
🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice.

Try it now at https://t.co/GCdiMzk1Dl via Expert Mode / Instant Mode. API is updated & available today!

📄 Tech Report: https://t.co/drlDrxkYtp
🤗 Open Weights: https://t.co/T13Y8i7SDM

1/n

[seepdeek @tom1ong]

@himself65 不是的，多模态很牛逼，准备加仓

[seepdeek @tom1ong]

agi achieved internally? 👀

[Anthropic @AnthropicAI]

Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software.

It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans.
https://t.co/NQ7IfEtYk7

[PeizeSun @PeizeSun]

You will be amazed by Quality mode !

[seepdeek @tom1ong]

@himself65 但化粪池永远不会变成香水厂😎

[seepdeek @tom1ong]

@himself65 试试e4b，挺好用的呢

[seepdeek @tom1ong]

@bboczeng 这个讲话信息量为0，😅纯纯为了提醒多军战争还没结束呢别拉太猛

[seepdeek @tom1ong]

.@X

[seepdeek @tom1ong]

working on it🫡

[Ethan He @EthanHe_42]

My last open-source project before joining xAI is just out today. Megatron Core MoE is probably the best open framework out there to seriously train mixture of experts at scale. It achieves 1233 TFLOPS/GPU for DeepSeek-V3-685B. https://t.co/QA1KRGu2Nc

[seepdeek @tom1ong]

@JeffDean @jasonhiner @nvidia Yes plz

[PeizeSun @PeizeSun]

Grok Imagine supports video extension now !

[Elon Musk @elonmusk]

⚙️🦾🚘🚀🛰️

[Shen Zhuoran @CMS_Flash]

We worked very hard to make this a good web dev model. We still have a lot yet to ship but hopefully you will already enjoy it! Feedback welcomed!

[Z.ai @Zai_org]

Presenting the GLM-5 Technical Report!
https://t.co/CGjxEISvFK

After the launch of GLM-5, we’re pulling back the curtain on how it was built. Key innovations include:
- DSA Adoption: Significantly reduces training and inference costs while preserving long-context fidelity
- Asynchronous RL Infrastructure: Drastically improves post-training efficiency by decoupling generation from training
- Agent RL Algorithms: Enables the model to learn from complex, long-horizon interactions more effectively
Through these innovations, GLM-5 achieves SOTA performance among open-source models, with particularly strong results in real-world software engineering tasks.

[NVIDIA @nvidia]

⚡New data shows NVIDIA Blackwell Ultra delivers up to 50x better performance and 35x lower cost for agentic AI.
Cloud providers are deploying NVIDIA GB300 NVL72 systems at scale for low-latency and long-context use cases including agentic coding and coding assistants.

Learn how #NVIDIABlackwell platform is maximizing inference performance: https://t.co/6YszNh8OnW

[Chubby♨️ @kimmonismus]

NVIDIA’s new Blackwell Ultra GB300 NVL72 systems deliver up to 50x higher performance per megawatt and (this is even more important and impressive) 35x lower cost per token versus the Hopper platform.

Energy will be the biggest bottleneck, therefore performance per watt is essential and lower costs simultaneously increase its overall use. Love it!

[Ethan He @EthanHe_42]

We're hiring for World Modeling at @xAI. Our team is at the frontier of building a world simulator: real-time interaction, long-horizon video, and understanding the universe!
We're a small focused team moving quickly. Ambitious goal. Tons of GPUs and data. Flat structure. Competitive compensation. No politics.
If you're interested, apply and DM me a 1-liner on what makes you exceptional. https://t.co/1ZR4vloRMT