Trust & security built in: First open models with ISO 42001 certification Cryptographically signed checkpoints Bug bounty program with HackerOne Enterprise-cleared training data + IP indemnity
LLMS
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Granite 4.0 Hybrid Mamba Transformer Cuts GPU Memory 70%
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Granite 4.0 introduces a hybrid Mamba + transformer architecture. Cuts GPU memory needs by up to 70% Runs on cheaper hardware Faster inference, even with long contexts or multiple sessions
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IBM Granite 4.0: Hybrid LLM for Enterprise Efficiency
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🚨 IBM just dropped Granite 4.0 — hybrid Mamba/transformer LLMs built for enterprise efficiency.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 3 octobre 2025
✅ Up to 70% less RAM
✅ ISO 42001 certified & cryptographically signed
✅ Open-sourced + cheaper GPUs
Here’s why it matters 👇🧵 pic.twitter.com/4jtcWHzOwRIBM just dropped Granite 4.0 — hybrid Mamba/transformer LLMs built for enterprise efficiency. Up to 70% less RAM ISO 42001 certified & cryptographically signed Open-sourced + cheaper GPUs Here’s why it matters
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UnslothAI Team Shares Amazing Work on Language Models
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I am just sharing this amazing work by @UnslothAI team.
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LLM Code Generation and Agent Classification Discussion
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Yeah one more person pointed out already. I'd say it falls under "agent" because an LLM is still giving you a large chunk of code that you're slotting in.
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GLM-4.6 Agentic Model Drives GPU Investment Demand
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this is why we Buy GPUs GLM-4.6 is a KINO Agentic model daily driver within Claude Code
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IBM Releases Granite-4.0-H-Small Model on Hugging Face
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IBM released Granite-4.0-H-Small on Hugging Face Granite-4.0-H-Small is a 32B parameter long-context instruct model finetuned from Granite-4.0-H-Small-Base using a combination of open source instruction datasets with permissive license and internally collected synthetic
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Flash-Searcher: Fast Web Agents with DAG-Based Parallel Execution
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Flash-Searcher Fast and Effective Web Agents via DAG-Based Parallel Execution
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ACON: Optimizing Context Compression for Long-horizon LLM Agents
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ACON Optimizing Context Compression for Long-horizon LLM Agents