Alright folks the #SlimeHive is up and running

We all love our #LLM and chatbots but #AI is big but it is also #smallAI the hiveMind the simple organisms that somehow seem to exhibit intelligence. Welcome to the SlimeHive

https://github.com/ethoz1970/SlimeHive/discussions/1

Welcome to the SlimeHive! · ethoz1970 SlimeHive · Discussion #1

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GitHub

• Tiny models are quietly reshaping AI, and the shift is happening faster than anyone expected ⚡🤖
• See how going smaller unlocks speed, privacy and smarter workflows 🔍
• Read the full piece: https://medium.com/@rogt.x1997/from-8-billion-to-800-million-the-rise-of-small-language-models-35676288338a

#SmallAI #EdgeModels #AIFuture

From 8 Billion to 800 Million: The Rise of Small Language Models

A quantitative look at how model size is shrinking while performance holds up.

Medium

A tiny model just outperformed a giant — and the story behind it hits like a plot twist. ⚡️ Curious how small AI is reshaping real workflows, cutting delays, and exposing patterns big systems miss? This one’s a ride. 🚀
Read it here:
https://medium.com/@rogt.x1997/small-but-furious-how-compact-ai-models-stole-the-show-c95727e71e00

#SmallAI #EdgeTech #AIFuture
https://medium.com/@rogt.x1997/small-but-furious-how-compact-ai-models-stole-the-show-c95727e71e00

Small But Furious: How Compact AI Models Stole the Show

The hidden shifts in architecture, tuning and deployment that change everything.

Medium

UC Riverside: UCR researchers fortify AI against rogue rewiring. “…researchers at the University of California, Riverside, have developed a method to preserve AI safeguards even when open-source AI models are stripped down to run on lower-power devices.”

https://rbfirehose.com/2025/09/09/uc-riverside-ucr-researchers-fortify-ai-against-rogue-rewiring/

UC Riverside: UCR researchers fortify AI against rogue rewiring | ResearchBuzz: Firehose

ResearchBuzz: Firehose | Individual posts from ResearchBuzz

Ars Technica: Google releases pint-size Gemma open AI model. “Google has announced a tiny version of its Gemma open model designed to run on local devices. Google says the new Gemma 3 270M can be tuned in a snap and maintains robust performance despite its small footprint.”

https://rbfirehose.com/2025/08/19/ars-technica-google-releases-pint-size-gemma-open-ai-model/

Ars Technica: Google releases pint-size Gemma open AI model | ResearchBuzz: Firehose

ResearchBuzz: Firehose | Individual posts from ResearchBuzz

TechCrunch: Microsoft researchers say they’ve developed a hyper-efficient AI model that can run on CPUs. “Microsoft researchers claim they’ve developed the largest-scale 1-bit AI model, also known as a ‘bitnet,’ to date. Called BitNet b1.58 2B4T, it’s openly available under an MIT license and can run on CPUs, including Apple’s M2.”

https://rbfirehose.com/2025/04/18/techcrunch-microsoft-researchers-say-theyve-developed-a-hyper-efficient-ai-model-that-can-run-on-cpus/

Okay. Now I've seen literally everything. An LLM and an inference engine, embedded in a font. https://fuglede.github.io/llama.ttf/ #SmallAI https://www.youtube.com/watch?v=Q4bOyYctgFI
llama.ttf

llama.ttf is a font file which is also a large language model and an inference engine for that model.

Bringing GPT-4o in From the Cloud to the Edge

How to use the latest GPT-4o LLM to train specialized tinyML models to deploy on microcontroller-sized hardware at the edge.

Hackster.io
Creating Cross-Platform Small AI with picoLLM

You can run Gemma, Llama, Mistral, Mixtral, and Phi φ LLMs locally on a Raspberry Pi using PicoLLM without accessing the cloud.

Hackster.io
It’s sort of interesting to see the financial markets paying attention to #SmallAI. That means that anything that affects “big” AI is important enough to move the markets. Makes sense, if it’s going to affect the $NVDA stock price, it’ll affect the market. https://finimize.com/content/small-talk