Gemma 4
18 mentions across 10 people
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“Shout out to Google. They continue to push the frontier of open source. So, I'm very happy about that. Um, these are great models and I think it wasn't even appreciated as much as it should be.”
AI Compute Economy Matures: Token Scarcity, Meta's Strategic Dilemma, and the Ri ↗
“If you do have something like the Nvidia Spark or Apple Mac Studio with some decent memory, it looks like this is also designed to run your agent. So, if you're running like an OpenClaw or something like that and you want to run it all locally, this new Gemma model looks like it's going to be great for that sort of thing.”
Anthropic's Leaked Claude Code Reveals Autonomous Background Agent and Three-Lay ↗
“Gemma four, Omar from Deep, my team is gonna join here. Cross 10 million downloads since we told you last week, which is unprecedented for open source. Good job folks.”
AI Engineer Europe 2025: Harness Engineering, Open Claude Security, and the Clau ↗
“Recently Google DeepMind released Gemma 4. Gemma 4 is an open source model. It can run on your phone. Pretty neato, right? Here's the thing. It's a GPT5 level performance.”
Anthropic’s Claude Mythos Model Reveals Advanced AI Cyber Capabilities and Risks ↗
“So, Google Gemma 4 is here, and this is a genuine surprise because this is Google's most capable open model family to date, and this was released yesterday under an Apache 2.0 license. Now, in this video, I'll be showing you guys exactly how you can install this model and run it locally for free.”
Google's Gemma Model: Local Deployment and Performance ↗“Gemma 4 Omar Sivo from the deep is going to join here crossed 10 million downloads since we told you last week which is unprecedented for open source good job folks we really really applaud this supposedly”
Anthropic’s Mythos Model: A Deep Dive into its Capabilities, Security Concerns, ↗“I'm coming here as we just shipped Gemma 4. It's a really good open-source model.”
Google CEO Sundar Pichai on AI's Impact and Google's Vision ↗
“I am impressed by Gemma 4, there’s a lot of power for an on-device model at fast speeds. But I am not convinced you can get real agentic workflows out of a small model on device. So much depends on model judgement, self-correction, and accuracy. Small models are too weak there.”
On-device Models May Struggle with Agentic Workflows Despite Performance Gains ↗
“Lots of people want Gemma 4!”
Gemma 4 Demand and Google AI Edge App Store Performance ↗
“Excited to launch Gemma 4: the best open models in the world for their respective sizes. Available in 4 sizes that can be fine-tuned for your specific task: 31B dense for great raw performance, 26B MoE for low latency, and effective 2B & 4B for edge device use - happy building!”
Gemma 4: Next-Generation Open Models Launched with Diverse Sizes and Licensing ↗“Gemma 4 has incredible capabilities for such small models.”
Gemma 4: Powerful Performance in a Compact Model ↗“Meet Gemma 4: our new family of open models you can run on your own hardware.”
Gemma 4: Next-Gen Open Models for Advanced Local AI and Agentic Workflows ↗“Gemma 4: Byte for byte, the most capable open models”
Gemma 4: Google DeepMind's Most Capable Open Models for Advanced AI Development ↗“Introducing Gemma 4, our series of open weight (Apache 2.0 licensed) models, which are byte for byte the most capable open models in the world! Gemma 4 is build to run on your hardware: phones, laptops, and desktops.”
Gemma 4: Google's new Apache 2.0 licensed, performant open models ↗“Gemma 4 outperforms models over 10x their size! (note the x-axis is log scale!)”
Gemma 4: Outperforming Larger Models ↗“Gemma 4: Byte for byte, the most capable open models”
Gemma 4: Google DeepMind's Most Capable Open Models ↗
“Gemma 4: Byte for byte, the most capable open models”
Gemma 4: Google DeepMind's New Efficient Multimodal LLMs ↗