Liquid AI Releases LFM2.5-8B-A1B: An On-Device MoE Model With 8.3B Total and 1.5B Active Parameters
Liquid AI just shipped LFM2.5-8B-A1B. It is an on-device Mixture-of-Experts (MoE) model built for tool calling. The model holds
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Anthropic Ships Claude Opus 4.8 Alongside Dynamic Workflows and Cheaper Fast Mode, With Workflows Capped at 1,000 Subagents
Anthropic just launched Claude Opus 4.8. Also, there two Claude Code updates shipped with it. Dynamic workflows run many
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Using Artificial Intelligence to Improve B2B Lead Generation
Artificial intelligence is reshaping how business-to-business outreach identifies, scores, and engages prospects. With increasing amounts of data shaping every
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AI-Driven Exploitation: Why Legacy Vulnerability Scanners Fail in 2026
The cybersecurity landscape in 2026 has crossed a critical threshold where traditional, reactive defense models are no longer sufficient.
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Perplexity AI Open-Sources Unigram Tokenizer That Achieves 5x Lower p50 Latency Than Hugging Face tokenizers Crate
Perplexity AI’s research team reimplemented their Unigram tokenizer from scratch in Rust and open-sourced the code in pplx-garden, their
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A Coding Guide to Implement a pgvector-Powered Semantic, Hybrid, Sparse, and Quantized Vector Search System
In this tutorial, we build a complete pgvector playground inside Google Colab and explore how PostgreSQL can work as
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Document360 Launches MCP Support And It Changes How AI Accesses Your Docs
You have a knowledge base. You have an Document360 Launches. And yet, every time you need one to work
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How a SAST Scan Helps Secure AI-Generated Code Before Release
AI-assisted coding is becoming part of everyday software development. Today’s developers use agents and other LLM-based coding tools to
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How a SAST Scan Helps Secure AI-Generated Code Before Release
AI-assisted coding is becoming part of everyday software development. Today’s developers use agents and other LLM-based coding tools to
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Sakana AI Proposes DiffusionBlocks: a Block-wise Training Framework That Converts Residual Networks into Independently Trainable Denoising Modules
Researchers from Sakana AI and the University of Tokyo propose DiffusionBlocks. It trains transformer-based networks one block at a
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