[ “We Choose to Ascend with AGI” ] GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… Powered by: $AGIALPHA CA: tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump #AGIALPHA #ASIFirst
OPEN SOURCE
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AGI Alpha Agent v0 GitHub Release with AGIALPHA Token
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OpenAI to Release New Open-Weight Model Matching o3-mini Performance
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BREAKING : According to The Verge, OpenAI will release its open weight model next week and it will be performing at the o3-mini level.
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Non-coding contributions drive open source innovation forward
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AmyJune Hineline makes a great point in this recent interview: You don’t need to be an expert coder to contribute meaningfully to open source—mentoring, documentation, and event organizing all drive innovation forward. https://
bit.ly/3IpE3ZY
#opensource #communitybuilding -
One Code Line Reduces PyTorch Downloads by 400MB
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one line of code just reduced pytorch download sizes by 400MB . for literally everyone lol so much low hanging fruit when you pay this much attention to detail
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Live Deep Dive into SHAP, LIME, Grad-CAM and xai_evals
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🚨 We’re LIVE! Join us for a deep dive into SHAP, LIME, Grad-CAM & DL-Backtrace. Introducing xai_evals — the open-source benchmark for explainability methods. 🔴 Tune in here: hubs.la/Q03wsDFp0 #XAI #AIExplainability
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XAI Methods Evaluation Session and xai_evals Framework Launch
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🔴 Just 2 Hours to Go! Join our closed-door session on evaluating XAI methods like SHAP, LIME, Grad-CAM & AryaXAI’s DL-Backtrace. Introducing xai_evals — an open-source framework to quantify & benchmark explainability tools. 🔗hubs.la/Q03wqGTZ0 #AIExplainability #XAI
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Build a Local AI Coding Agent Guide
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Let's do it! https://
open.substack.com/pub/louisbouch
ard/p/build-a-local-ai-coding-agent?r=25qlky&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
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Local LLM Agent System with Tool Chaining and Extensibility
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It will:
– Use Ollama to run a local LLM (we’ll use qwen3:32b)
– Handle tool calls for reading/writing files, listing directories, and running shell commands
– Chain multiple tools to solve multi-step tasks
– Be easily extendable with things like web search or formatters -
Building Local Cursor: Offline AI Coding Agent with Open-Source Models
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In this iteration, we’ll build a local version of Cursor — a terminal-based AI coding agent that runs entirely offline using open-source models. Note: The term “local” is often misused. Here, it means everything — from model inference to file access — runs entirely on your
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Open Local Cursor: Offline Terminal AI Coding Agent
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Let's build an open Local Cursor — a terminal-based AI coding agent that runs entirely offline using open-source models.