We are cells of something bigger

bingo🔥 50k+设备集成 #ioID, ioID在逐步成为行业最大的可验证机器身份之一。 #IoTeX $IOTX

one thing that will still stays very strong even if the ai or humanoid comes that's called humans network’s. I am really glad that our IoTeX is securing both human and machines.

How to cut costs? > 3 local agents using Qwen 4B 2507 Instruct for less reasoning-heavy tasks > 1 API-based writer using a strong LLM to summarize & generate the final output - MiniMax (official) M2.1 50 concurrent requests

Would you like to build your own SYNTH-like datasets or contribute to the development of SYNTHLabs? Now you can. SYNTHLabs is fully open and waiting for your contribution! What's inside? - Generator: create your own dataset from scratch - Converter: use existing datasets

Stop using services like this to detect AI-generated text! So, we are OK with programmers at Anthropic getting paid so much to say publicly that AI writes 100% of their code, but suddenly a foreigner uses AI to write something properly should be shamed? Stop it! Who cares!

🚀 Introducing AgentCPM-Explore: The First Open-Source 4B-Agent Model to Conquer GAIA & Complex Real-World Tasks! 🤗 Hugging Face: huggingface.co/openbmb/AgentC… 🔗 GitHub: github.com/OpenBMB/AgentC… ✨ Key Highlights: ✅ SOTA Agentic Performance: Sets a new benchmark for 4B-scale agent

We’re excited to introduce Pocket TTS: a 100M-parameter text-to-speech model with high-quality voice cloning that runs on your laptop—no GPU required. Open-source, lightweight, and incredibly fast. 🧵👇

🚨 OpenMed just mass-released 35 state-of-the-art PII detection models to the open-source community! All Apache 2.0. All free. Forever. 🍀 Here's what OpenMed built and why it matters for healthcare AI safety. Supporting HIPAA, GDPR, and beyond. Thread 🧵👇

Dear X algo please give me less short video and more long video 🥲

Some thoughts, All the techniques for building models are already out just 10 to 20k budget many can run models at home . Openai took big chunk in hardware mkt. right now what i see that Too much competition & too much money already in. llm builders need to find utility for

Reminder that this Brave feature exists:

🥝 Meet Kimi K2.5, Open-Source Visual Agentic Intelligence. 🔹 Global SOTA on Agentic Benchmarks: HLE full set (50.2%), BrowseComp (74.9%) 🔹 Open-source SOTA on Vision and Coding: MMMU Pro (78.5%), VideoMMMU (86.6%), SWE-bench Verified (76.8%) 🔹 Code with Taste: turn chats,

Today, we’re releasing the first weights from Trinity Large, our first frontier-scale model in the Trinity MoE family.

Today, we are releasing our first weights from Trinity-Large, our first frontier-scale model in the Trinity MoE family. American Made. - Trinity-Large-Preview (instruct) - Trinity-Large-Base (pretrain checkpoint) - Trinity-Large-TrueBase (10T pre Instruct data/anneal)

If this benchmark is true then we will have frontier coding agent at home

🚀 Introducing Qwen3-Coder-Next, an open-weight LM built for coding agents & local development. What’s new: 🤖 Scaling agentic training: 800K verifiable tasks + executable envs 📈 Efficiency–Performance Tradeoff: achieves strong results on SWE-Bench Pro with 80B total params and

GopiNath several hours. we’re just finishing up the last bits.

MiniMax-M2.5 is now open source. Trained with reinforcement learning across hundreds of thousands of complex real-world environments, it delivers SOTA performance in coding, agentic tool use, search, and office workflows. Hugging Face: huggingface.co/MiniMaxAI/Mini… GitHub:

Cool model when llama.cpp support?