All of these issues are only in the npm – use hackable install. curl -fsSL https://
openclaw.ai/install.sh | bash -s — –install-method git
OPEN SOURCE
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OpenClaw AI Git Install Method Fixes npm Issues
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FutureAGI Open-Sources AI Agent Observability Platform for Production
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🚨 @FutureAGI_ just open-sourced an observability platform that bulletproofs your AI agents for production.
— Charly Wargnier (@DataChaz) 1 mai 2026
Plug in your agent, and the platform automatically evaluates, simulates, guards, and optimizes it.
✦ Out of the box, you get:
→ Trace: 50+ frameworks (LangChain,… pic.twitter.com/oonhUr1nJT@FutureAGI_ just open-sourced an observability platform that bulletproofs your AI agents for production. Plug in your agent, and the platform automatically evaluates, simulates, guards, and optimizes it. ✦ Out of the box, you get:
→ Trace: 50+ frameworks (LangChain, -
DeepSeek Paper Explores Visual Primitives for Multimodal Reasoning
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“Thinking with Visual Primitives” New paper from DeepSeek… But got taken down? Most multimodal models can look at an image, but they still mostly reason in language. So on tasks like counting, spatial reasoning, and mazes, words alone are a weak way to keep track of visual
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OpenClaw Hits 250K GitHub Stars in 60 Days, Goes Enterprise
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.@OpenClaw hit 250K GitHub stars in 60 days — the fastest climb in GitHub history. @steipete built something developers desperately wanted.
— NVIDIA (@nvidia) 30 avril 2026
We worked with him to make it enterprise-ready. pic.twitter.com/oHpt65CIJU.
@OpenClaw hit 250K GitHub stars in 60 days — the fastest climb in GitHub history. @steipete built something developers desperately wanted. We worked with him to make it enterprise-ready. -
SGLang Achieves 180 tok/s/GPU on DeepSeek-V4 with Blackwell Optimizations
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SGLang is hitting 180 tok/s/GPU on DeepSeek-V4 decode with ~1M context on Blackwell. Good to see fast progress in open source DeepSeek-V4 inference on new hardware. This comes from Blackwell-specific optimizations by @lmsysorg that better use the model’s hybrid sparse
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Gemma 4 31B Beats Qwen 3 27B in Local LLM Gamedev Test
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/1 Gemma 4 31B just crushed Qwen 3.6 27B in a local LLM gamedev contest inside @atomic_chat_hq (prompt is below)
— Chubby♨️ (@kimmonismus) 30 avril 2026
Device: MacBook Pro M5 Max, 64GB RAM
Results:
Qwen 3.6 27B: 32 tokens/sec · 18m 04s · 33,946 tokens
Gemma 4 31B: 27 tokens/sec · 3m 51s · 6,209 tokens
So what is… pic.twitter.com/wqyWyjXX2u/1 Gemma 4 31B just crushed Qwen 3.6 27B in a local LLM gamedev contest inside @atomic_chat_hq (prompt is below) Device: MacBook Pro M5 Max, 64GB RAM Results:
Qwen 3.6 27B: 32 tokens/sec · 18m 04s · 33,946 tokens
Gemma 4 31B: 27 tokens/sec · 3m 51s · 6,209 tokens So what is -
Company Named TIME Top 10 Most Influential AI Firms 2026
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Great to be included in the @TIME 10 Most Influential AI Companies of 2026! Let's go open-source AI!
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Open-Source Vessel Detection Model and Repository
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Le space : https://
huggingface.co/spaces/DefendI
ntelligence/vessel-detection
… Le repo HF : https://
huggingface.co/DefendIntellig
ence/vessel-detection
… Le repo github : https://
github.com/anisayari/vess
el-detection
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Release of Open-Source Satellite Imagery Object Detection AI Model
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J’ai fait un Space @huggingface + publié le modèle d’IA entraîné ainsi que le code d’inférence en rapport avec ma dernière vidéo Youtube. Vous pouvez l’utiliser pour détecter tous les bateaux que vous voulez sur des images satellites , il est particulièrement bon pour
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SenseNova U1 Model Weights Released on Hugging Face
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weights on @huggingface →
https://
huggingface.co/collections/se
nsenova/sensenova-u1
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