Voyager SDK v1.5.3 adds YOLO26 support End-to-end NMS-free inference, faster CPU performance, better small object detection through ProgLoss + STAL. Removes DFL module for simpler export and broader hardware compatibility. Available across all YOLO26 sizes (n/s/m/l) for
OPEN SOURCE
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NVIDIA Earth-2 Open Models Released for Climate AI
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https://
huggingface.co/blog/nvidia/ea
rth-2-open-models
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The challenge of model transparency and black box neural networks
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Yeah, they open sourced it, but most of the work is done by a neural network and they didn't share the weights of that. So it's still 2/3rds a black box. And that black box is changing every month (I think it actually is changing faster than that).
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Hardware Requirements for Running OpenClaw AI
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Just to check before I order, is this enough to run @openclaw
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Qwen3-TTS Open-Source Real-Time Voice Stack Released
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Qwen3-TTS just cracked open-source TTS! Qwen3-TTS turns a Qwen3 LM into an instruction-steerable real-time voice stack by jointly training a speaker encoder + a dual-track text/acoustic token backbone Under the hood, it uses hierarchical multi-token prediction over RVQ
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CUA-Bench Open-Sourced for GUI Agent Evaluation
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Congrats to @trycua on open-sourcing cua-bench!
— Snorkel AI (@SnorkelAI) 23 janvier 2026
We're collaborating on task design & data curation for GUI workflows – bringing the same systematic evaluation approach from Terminal-Bench to computer-use agents.
15 native tasks / 40 variations + OSWorld & Windows Agent Arena.… https://t.co/7GZkGHHTYxCongrats to @trycua on open-sourcing cua-bench! We're collaborating on task design & data curation for GUI workflows – bringing the same systematic evaluation approach from Terminal-Bench to computer-use agents. 15 native tasks / 40 variations + OSWorld & Windows Agent Arena.
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Open Models Accelerate Agentic and Physical AI Development
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Open models are accelerating development and deployment across agentic AI, physical AI, and a growing range of industries.
— NVIDIA AI (@NVIDIAAI) 22 janvier 2026
✨ “We have billions of dollars of supercomputers in operation, so we can develop our open models,” said NVIDIA CEO Jensen Huang in a recent keynote. “That… pic.twitter.com/KmWWlnsBwtOpen models are accelerating development and deployment across agentic AI, physical AI, and a growing range of industries. “We have billions of dollars of supercomputers in operation, so we can develop our open models,” said NVIDIA CEO Jensen Huang in a recent keynote. “That
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Discussion on AI system architecture and training data transparency
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There really isn't an algorithm in these new AI systems. More like billions of algorithms. And, no, I can't see Elon open sourcing his dataset that goes into training these billions of algorithms.
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New Gemini CLI Course: Open-Source Agent for Coding Workflows
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New course: Gemini CLI: Code & Create with an Open-Source Agent, built with @googlecloudtech/@geminicli and taught by @JackWoth98.
— Andrew Ng (@AndrewYNg) 22 janvier 2026
Agentic coding assistants like Gemini CLI are transforming how developers work. This short course teaches you to use Google's open-source agent to… pic.twitter.com/VqGNAIcjgTNew course: Gemini CLI: Code & Create with an Open-Source Agent, built with @googlecloudtech/@geminicli and taught by @JackWoth98. Agentic coding assistants like Gemini CLI are transforming how developers work. This short course teaches you to use Google's open-source agent to coordinate local tools and cloud services for coding and non-coding workflows. Gemini CLI works from your terminal, so it works with your local files and development tools. You can also connect it to services through MCP. Then provide high-level instructions, and it autonomously plans and executes complex workflows. Skills you'll gain: – Build website features and automate code reviews with GitHub ActionsCreate data dashboards that combine local files with cloud data sources – Use MCP servers and extensions to orchestrate workflows across GitHub, Canva, and Google Workspace – Generate social media content from multimedia files like conference recordings I particularly appreciate that Gemini CLI is open-source. You can see exactly how it works, read the prompts it uses, and understand its architecture. The community has contributed thousands of pull requests. Since Gemini 3’s release I've found Gemini CLI highly capable – this is a tool worth having in your toolbox! Whether you're prototyping applications, automating workflows, or working with multimedia content, join to learn to delegate complex tasks and build faster: deeplearning.ai/short-course…
→ View original post on X — @andrewyng, 2026-01-22 17:36 UTC
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AI in Financial Services 2026: Trends and Agent-Driven Growth
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The State of AI in Financial Services: 2026 Trends report is here. – 65% of firms are already actively using AI.
– 84% say open-source models are central to their AI strategy.
– 89% report AI is increasing revenue and reducing costs. From production-scale AI to agent-driven