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Liquid AI Releases LFM2.5-8B-A1B: An On-Device MoE Model With 8.3B Total and 1.5B Active Parameters

ML applications

7 Min Read

Liquid AI Releases LFM2.5-8B-A1B: An On-Device MoE Model With 8.3B Total and 1.5B Active Parameters

By Editorial Team

May 29, 2026

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Kiwibit’s AI-powered bird feeder is my new backyard buddy

Open source

3 Min Read

Kiwibit’s AI-powered bird feeder is my new backyard buddy

By Editorial Team

May 29, 2026

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Meet mKernel: A Multi-GPU, Multi-Node Fused Kernel Library for GPU-Driven Communication

ML applications

8 Min Read

Meet mKernel: A Multi-GPU, Multi-Node Fused Kernel Library for GPU-Driven Communication

By Editorial Team

May 29, 2026

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Blue Origin’s New Glenn rocket explodes during testing in Florida

Open source

5 Min Read

Blue Origin’s New Glenn rocket explodes during testing in Florida

By Editorial Team

May 29, 2026

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How to Design an End-to-End Ansible Automation Lab with Playbooks, Inventories, Roles, Vault, Dynamic Inventory, and Custom Modules

ML applications

2 Min Read

How to Design an End-to-End Ansible Automation Lab with Playbooks, Inventories, Roles, Vault, Dynamic Inventory, and Custom Modules

By Editorial Team

May 29, 2026

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The internet is being rebuilt for machines

Open source

4 Min Read

The internet is being rebuilt for machines

By Editorial Team

May 28, 2026

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Has the hunt for AI compute uncovered the next Cerebras?

Open source

4 Min Read

Has the hunt for AI compute uncovered the next Cerebras?

By Editorial Team

May 28, 2026

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Perplexity AI Open-Sources Unigram Tokenizer That Achieves 5x Lower p50 Latency Than Hugging Face tokenizers Crate

ML applications

11 Min Read

Perplexity AI Open-Sources Unigram Tokenizer That Achieves 5x Lower p50 Latency Than Hugging Face tokenizers Crate

By Editorial Team

May 28, 2026

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Google engineer charged with insider trading after making .2M on Polymarket

Open source

2 Min Read

Google engineer charged with insider trading after making $1.2M on Polymarket

By Editorial Team

May 28, 2026

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Sakana AI Proposes DiffusionBlocks: a Block-wise Training Framework That Converts Residual Networks into Independently Trainable Denoising Modules

ML applications

11 Min Read

Sakana AI Proposes DiffusionBlocks: a Block-wise Training Framework That Converts Residual Networks into Independently Trainable Denoising Modules

By Editorial Team

May 28, 2026

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Blog Page

Liquid AI Releases LFM2.5-8B-A1B: An On-Device MoE Model With 8.3B Total and 1.5B Active Parameters

Kiwibit’s AI-powered bird feeder is my new backyard buddy

Meet mKernel: A Multi-GPU, Multi-Node Fused Kernel Library for GPU-Driven Communication

Blue Origin’s New Glenn rocket explodes during testing in Florida

How to Design an End-to-End Ansible Automation Lab with Playbooks, Inventories, Roles, Vault, Dynamic Inventory, and Custom Modules

The internet is being rebuilt for machines

Has the hunt for AI compute uncovered the next Cerebras?

Perplexity AI Open-Sources Unigram Tokenizer That Achieves 5x Lower p50 Latency Than Hugging Face tokenizers Crate

Google engineer charged with insider trading after making $1.2M on Polymarket

Sakana AI Proposes DiffusionBlocks: a Block-wise Training Framework That Converts Residual Networks into Independently Trainable Denoising Modules

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