Gentle reminder that, in closed source AI from companies like Anthropic and OpenAI You have zero control over how the models behave, and they can – Quantize it
– Distill it
– Sabotage your work and data
– Hot-swap to a cheaper/weaker checkpoint
– Make the model manipulative
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OPEN SOURCE
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Closed source AI risks: no control, sabotage, manipulation
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Continual learning ensures open-source AI victory over Anthropic
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Continual learning, among other things, will ensure Opensource AI wins Anthropic has no moat and that’s why they’re trying so hard to make their models so useless in allowing others to break that wall But they just don’t know that they’ve already lost
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Hermes Desktop App now works with Ollama for free local AI agents
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Hermes Desktop App now works with Ollama.
— Shubham Saboo (@Saboo_Shubham_) 10 juin 2026
Local AI Agents and Open Source models running 24/7 for FREE.
This is HOW you work in 2026. pic.twitter.com/KzOVCF8xH0Hermes Desktop App now works with Ollama. Local AI Agents and Open Source models running 24/7 for FREE. This is HOW you work in 2026.
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Mythos: first AI model deliberately worse to block public benefit
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The public Mythos is the first model that is deliberately designed to perform worse on technical tasks than its predecessors. AI companies will have models that help them to do research, but they will increasingly block others from benefiting. Not your weights, not your brain!
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Concentration of power, capabilities, wealth in AI: open source needed
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The concentration of power, capabilities, and economic wealth is the greatest risk in AI. We need open science and open source more than ever!
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Disappointment at Anthropic’s silent degradation of Fable 5
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As advocates of open research, we are disappointed to see Anthropic silently degrading Fable 5 for AI development. "Any topic related to building pre-training pipelines, distributed training infrastructure, or the design
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Open Source AI Must Win as Civilizational Infrastructure
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Opensource AI Must Win AI is a civilizational infrastructure for work, education, science, software, creativity, public services, and national capacity Access must not depend on closed APIs, remote platforms, shifting terms, opaque moderation, model availability, or prices set
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XGBoost for Regression, Predictive Modeling, and Time Series Analysis Book Review
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XGBoost for Regression, Predictive Modeling, and Time Series Analysis — Learn how to build, evaluate, & deploy predictive models: http://
amzn.to/4l2YcU9 v/ @PacktDataML —
My review: XGBoost is definitely the focal point and central contribution of this book, along with all -
VQAScore: open-source framework for evaluating text-video/image/3D models
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VQAScore, a simple framework for evaluating text-video/image/3d models is opensource and got many many features. Packaged with leading frontier and commonly used open-source multimodal models and simple/clean eval interface. https://t.co/8xy7SjGEqt pic.twitter.com/wrt6wBTQvQ
— Jean de Nyandwi (@Jeande_d) 9 juin 2026VQAScore, a simple framework for evaluating text-video/image/3d models is opensource and got many many features. Packaged with leading frontier and commonly used open-source multimodal models and simple/clean eval interface.