MotionFlow: IP cameras become privacy-preserving activity sensors. YOLOv11-Pose on Metis classifies actions from pose geometry. Only structured state over MQTT, no video leaves the device. Running 24/7. Full source on GitHub. #EdgeAI #Privacy https://
eu1.hubs.ly/H0t23L70
TOOLS
-
MotionFlow: Privacy-Preserving Activity Sensors with YOLOv11-Pose
By
–
-
Production AI Agents Need Search, Branching, and Path Pruning
By
–
Most agents guess the next move. They don't search. Production systems need to branch, route, and kill bad paths before they compound. These gaps are where most teams quietly lose. We mapped them in the article below. 👇 ai21.com/blog/mind-the-gap/?…
-
Sync Labs 3.0 Model Impresses with Realistic Lip-Sync Technology
By
–
Had early access to @synclabs_so latest 3.0 model.
— Taher Dhanerawala (@taherdhanera) 7 avril 2026
The accuracy is wild. It captures lip movement, timing, and subtle facial emotion without breaking realism. This feels natural. Well done, team.
Animated on @Kling_ai 3.0 model.@therealprady@IamPrajwalKR@RudrabhaM… pic.twitter.com/pc4AtVAWRfHad early access to @synclabs_so latest 3.0 model. The accuracy is wild. It captures lip movement, timing, and subtle facial emotion without breaking realism. This feels natural. Well done, team. Animated on @Kling_ai 3.0 model. @therealprady @IamPrajwalKR @RudrabhaM @sama_sanjit @mhadifilms
→ View original post on X — @scobleizer, 2026-04-07 12:23 UTC
-
LangChain Collapse Reduces Context Bloat in Long Running Agents
By
–
long running agents (like deepagents) suffer from tool call induced context bloat s/o @johanbonilla for langchain-collapse, an eager context compaction middleware that collapses long tool call sequences, reducing summarization overhead docs.langchain.com/oss/pytho…
-
30 Essential AI Algorithms to Master Artificial Intelligence
By
–
30 AI algorithms that power modern AI 👇 📊 Linear & Logistic Regression 🌲 Random Forest ⚡ XGBoost 🎯 SVM 🔍 k-Means / DBSCAN 📉 PCA / t-SNE 🎮 Q-Learning / DQN 🧠 ANN / CNN / RNN / LSTM 🔁 Transformers 🧬 Genetic Algorithms Master the foundations → master AI. [Translated from EN to English]
→ View original post on X — @ingliguori, 2026-04-07 12:17 UTC
-
AI Dependency: Why You Must Control Your Pricing Model
By
–
Your AI setup should not depend on someone else’s pricing model.
That is the real lesson from the #Claudepocalypse. Claude is still excellent. That is not the point. The point is that if one subscription change can break your agent workflow overnight, then you do not really own -
Environment Learns Back: Adaptive Tools for Agent Learning
By
–
The Environment Learns Back! "tools that adapt to an agent's local mistakes, using cheap computation and simple forms of learning" creative.ai/blog/env-learns-…
-
Top AI Stories: OpenAI Society Plans, Meta Models, New Tools
By
–
Top stories in AI today: – OpenAI’s ‘social contract’ ideas for society, ASI
– New Yorker surfaces secret memos behind Altman's firing
– Stress test business ideas with Perplexity
– Wang's first Meta models getting ready to ship
– 4 new AI tools, community workflows, and more -
AI Competitiveness: Internal Use, Industrialization, Model Control
By
–
My takeaway is simple: The next 2 to 3 years will reward companies that do 3 things well: → use AI internally, so leadership understands it firsthand → build with a clear path from pilot to industrialization → take control of their own models, data, and evaluation strategy That is how AI stops being a demo and starts becoming a competitive moat. And now the tools are here: Mistral AI Forge makes model customization accessible, powered by NVIDIA infrastructure, while the NEMO Tron coalition is building an open ecosystem to democratize AI development. Watch more NVIDIA GTC replays at nvda.ws/45K2sCw
→ View original post on X — @ronald_vanloon, 2026-04-07 10:00 UTC
-
Open Models as Strategic Advantage for Enterprise AI Differentiation
By
–
The second big insight, open and custom models are becoming a strategic advantage, not just a technical preference. Why? → More control over your AI stack → Less vendor lock-in → Better fit for regulated industries → More value from your own enterprise data and IP General models are strong generalists. But real differentiation comes when you make AI an expert in your domain, your workflows, your business. That’s exactly where the market is heading: With Mistral AI Forge, enterprises can build and fine-tune their own models, while NVIDIA’s NEMO Tron coalition is accelerating open innovation across models, datasets, and tooling.
→ View original post on X — @ronald_vanloon, 2026-04-07 10:00 UTC