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HalluSquatting: When AI Hallucinations Become a Weapon
Researchers have disclosed HalluSquatting, a novel attack technique that exploits predictable LLM hallucinations to build botnets out of developer machines and AI coding agents. By pre-registering names that models reliably hallucinate, attackers can hijack assistants' built-in terminals without ever targeting a specific victim.
Model Routing: Why the Smartest AI Is No Longer the Winner in 2026
In 2026, the defining question for enterprise AI deployment has shifted from 'which model is the smartest?' to 'how do we orchestrate multiple models without going broke?' Model routing can slash inference expenses by 60-80% while maintaining quality. This article examines the evolution from static rules to learned routers, resilience patterns, and Perplexity's hybrid inference as a case study.
Meituan LongCat-2.0: How a 1.6T Parameter Model Runs on 50,000 Domestic GPUs
Meituan open-sourced LongCat-2.0, a 1.6T-parameter MoE model with 48B active parameters—the first trillion-scale model trained and deployed entirely on Chinese-manufactured GPUs. Here's the architecture, the engineering, and why it matters.
From 600GB to 85GB: How Tencent Shrank a 295B Model to Fit on a Single GPU
Eight days after launching Hy3, Tencent's Hunyuan team delivered 1-bit and 4-bit quantized GGUF builds of the 295B flagship model—shrinking it from 598GB to 85.5GiB. Here's what the benchmarks say and why it matters for local AI deployment.
When No One Understands the Code: The Trust Crisis in AI-Generated Software
Google generates 75% of its new code with AI. Meta mandates Agent-assisted commits. Yet a Reddit developer watched AI delete 28,745 lines of code without reason, and Moonwell lost $1.78 million to an AI-coded bug. Zuckerberg admits AI Agent progress is behind schedule—the software industry is running naked at full speed.
AI Model Routing: The New Paradigm for Enterprise LLM Deployment
In 2026, the AI race has shifted from 'who has the biggest model' to 'who uses models best.' Model routing, multi-model architectures, and LLM gateways are becoming the core infrastructure for enterprise AI deployment, driving both cost optimization and compliance adaptation.
AI Model Routing: The New Paradigm for Enterprise LLM Deployment
In 2026, the AI race has shifted from 'who has the biggest model' to 'who uses models best.' Model routing, multi-model architectures, and LLM gateways are becoming the core infrastructure for enterprise AI deployment, driving both cost optimization and compliance adaptation.
AI Model Routing: The New Paradigm for Enterprise LLM Deployment
In 2026, the AI race has shifted from 'who has the biggest model' to 'who uses models best.' Model routing, multi-model architectures, and LLM gateways are becoming the core infrastructure for enterprise AI deployment, driving both cost optimization and compliance adaptation.