David Cox

I was telling my kids about how low-key terrifying commercials were when I was a kid, and my daughter made this:

This.

In which Gemini calls the Google AI Ultra product tier a "$230 mistake"

@Google Well, at least you AI knows how your bullshit works, even if you have no customer service department.

Good work, @Google. Even your AI knows how bad you guys are at this stuff.

Gemini tells it like it is re: Google. (my primary gmail account is stuck in some weird state where it thinks I am a business)

At IBM Research, we’re always interested in connecting with researchers and engineers who are passionate about building open and efficient LLMs for enterprise. If this aligns with your interests, you can share your background with our team using: 👉 forms.gle/DFoBFTAS7Cb2ws…

I wanted to send a broadcast message over our Google Home speakers, and the Google Home app told me I had to go to the Gemini app to do that. That didn't work, but I did get to have this unhinged conversation, so consider me a satisfied customer.

@jeremyeder who can say?

The whole thing is Apache-2.0. The whole thing. With complete data lineage. It's free. Why would anyone do this, @neurobongo ? 💪 research.ibm.com/blog/ibm-grani…

@Dorialexander congrats—this is impressive!

Breaking: we release a fully synthetic generalist dataset for pretraining, SYNTH and two new SOTA reasoning models exclusively trained on it. Despite having seen only 200 billion tokens, Baguettotron is currently best-in-class in its size range.

This is Granite 4.0 Nano running on an iPhone 17 Pro with MLX Swift. This is the 350M parameter model and the 1B runs equally well. @IBMDeveloper

@neurobongo x.com/Marktechpost/s…

🏔️Granite 4 Nano quantization support has been added to GPT-QModel! Both H-1B and H-350M W4A16 quantized models now available on HF. 🤗 Dl link in comments. Our eval scores also validate they are indeed tier-one small models. 👇 @neurobongo

@senthazalravi @xenovacom they do, every Granite model is built via a process and management system that has been externally audited.

@xenovacom Awesome. Do they follow ISO 42001 ?

IBM just released Granite-4.0 Nano, their smallest LLMs ever (300M & 1B)! 😍 The models demonstrate remarkable instruction following and tool calling capabilities, and can even run locally in-browser! This means they can interact with websites and call browser APIs for you! 🤯

IBM AI Team Releases Granite 4.0 Nano Series: Compact and Open-Source Small Models Built for AI at the Edge Small models are often blocked by poor instruction tuning, weak tool use formats, and missing governance. IBM AI team released Granite 4.0 Nano, a small model family that targets local and edge inference with enterprise controls and open licensing. The family includes 8 models in two sizes, 350M and about 1B, with both hybrid SSM and transformer variants, each in base and instruct. Granite 4.0 Nano series models are released under an Apache 2.0 license with native architecture support on popular runtimes like vLLM, llama.cpp, and MLX.... Full analysis: marktechpost.com/2025/10/29/ibm… Model weights: huggingface.co/collections/ib… @IBM @IBMwatsonx @IBMResearch @IBMData @IBMcloud @IBMDeveloper @IBMNews

huggingface.co/blog/ibm-grani… huggingface.co/collections/ib…

We just dropped the "nano" versions of our Granite 4 language models (1B and 350M sizes, in both vanilla and hybrid SSM versions). I will let the Pareto curve speak for itself (full benchmark details in the link below). Try them out and let us know what you think.