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AI Panda

@AIPandaX

Engineering leader focused on what happens after the demo works. Systems, teams, and the slow road to AGI. DM or [email protected]

Katılım Eylül 2025
6 Takip Edilen32.4K Takipçiler
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AI Panda
AI Panda@AIPandaX·
Is your job actually safe from AI? I’ve been thinking about this a lot. To get some real answers, I'm using @hifrankai to let you talk to an AI agent yourself. It takes 5 minutes. You tell the agent what you do every day and what tech you use. Then, it gives you a "future-proof score" to show how much of your work can be automated right now. I really want to see what you guys find out. Link to talk to the agent:👇 prelaunch.com/research/91ddd…
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AI Panda
AI Panda@AIPandaX·
Wait... 20-100x lower cost while matching frontier model performance? That's the number that changes real deployment decisions. Healthcare organizations can actually own this, deploy it securely, and run it at scale. Specialized AI is getting more interesting than general models.
Weiran Yao@iscreamnearby

The strongest healthcare LLM, custom-built for your enterprise, owned by you🌸 Meet @actAVAai Cura: 1T agentic model trained by recursive self-improvement for long clinical + health admin workflows Try: actava.ai/cura Share your use case: $20 credits + early access👇

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AI Panda retweetledi
elvis
elvis@omarsar0·
Everyone keeps asking me how to build a second brain or an LLM wiki. Here is the easiest setup I have found. I took my Wiki Builder skill, installed it into HyperAgent (@hyperagentapp) as a reusable skill, and asked it to build a research wiki on LLM verification from the latest 2026 papers. Recorded a quick demo. Built with @hyperagentapp. It planned first, asked a few sharp questions, then did the research: 29 papers curated into 21 files, a research map, a glossary, and clean subfields. Now it is a knowledge base that my other research agents build on. HyperAgent has all the capabilities to allow your agents and skills to compound. That’s a powerful use of AI agents.
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Weiran Yao
Weiran Yao@iscreamnearby·
The strongest healthcare LLM, custom-built for your enterprise, owned by you🌸 Meet @actAVAai Cura: 1T agentic model trained by recursive self-improvement for long clinical + health admin workflows Try: actava.ai/cura Share your use case: $20 credits + early access👇
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AI Panda
AI Panda@AIPandaX·
FABLE 5 OR GPT 5.6 SOL? Stop guessing which model to use. Smart routers automatically route to the best model based on your prompt: Fable 5 → hard coding GPT 5.6 → medium complexity Grok 4.5 → easy tasks Maximize performance. Minimize costs. Let me show you:
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AI Panda
AI Panda@AIPandaX·
Get access to everything for just $10/month. First month for only $7. One subscription. Every top AI model. chatllm.abacus.ai/apa
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AI Panda
AI Panda@AIPandaX·
6/ Finally, RouteLLM routes every prompt to the smartest model. Access GPT 5.6, Claude Fable 5, Seedance 2.0, Kimi 2.7, GLM 5.2, and more, all in one place.
AI Panda tweet media
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Bindu Reddy
Bindu Reddy@bindureddy·
🚨 Announcing Smart Model Router - Create Your Own Custom Router To Route To Your Favorite LLM - Route to GPT Sol, Muse Spark, Grok 4.5 and Fable - Optimize for cost or performance - Use Fable only for hard coding Once you create a router, you can use it on our Chat, Agent or in an API! Coming on Monday - Support for all CLI clients including Code, Claude Code and others
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AI Panda
AI Panda@AIPandaX·
The Foresight Reasoning approach is clever. While the robot is still moving, the model is already predicting what comes next. Then it updates based on what actually happens. This is how you get smoother, faster execution in the real world.
Robbyant@robbyant_brain

🤖Robots that think ahead and act in real time. LingBot-VA 2.0 — the first embodied-native foundation model. Not fine-tuned from a video generator. Built from scratch for the physical world. ✅ 93.6% success on bimanual tasks ⚡ 150 Hz single-GPU inference 🎯 20 demos to generalize. This is what happens when you stop adapting and start building natively. 🧵👇

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AI Panda
AI Panda@AIPandaX·
@robbyant_brain Native pretraining for robot control feels like the obvious direction once you see it
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Robbyant
Robbyant@robbyant_brain·
🤖Robots that think ahead and act in real time. LingBot-VA 2.0 — the first embodied-native foundation model. Not fine-tuned from a video generator. Built from scratch for the physical world. ✅ 93.6% success on bimanual tasks ⚡ 150 Hz single-GPU inference 🎯 20 demos to generalize. This is what happens when you stop adapting and start building natively. 🧵👇
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AI Panda
AI Panda@AIPandaX·
The world keeps evolving on its own instead of waiting for your next prompt. An agent proposes new events as you explore: weather changes, entity spawns, random encounters. That's way more interesting than static worlds that just sit there.
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AI Panda
AI Panda@AIPandaX·
Physical reasoning vs visual beauty is the key difference. Most video models optimize for aesthetics. This one uses 6 specialized RL reward models for physical plausibility and task completion. The 30B/3B sparse activation makes it practical for robotics research without the usual inference cost. Open source means the community can actually validate whether this approach works in real deployments.
Robbyant@robbyant_brain

Today we open-source LingBot-Video — the first MoE-based video foundation model built for embodied intelligence. 🔹30B params, only 3B active at inference. 🔹Augmented with 70K hours of embodied data on top of large-scale internet video pretraining. 🔹Already outperforming Wan2.6, Seedance 1.5 Pro, and Cosmos3 Super on RBench. 🧵👇

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Keşfet

@hyperagentapp @iscreamnearby @actAVAai @bindureddy @robbyant_brain @elonmusk @BarackObama @taylorswift13