AI insights, industry analysis, and technical guides
Learn how to compile llama.cpp, load a quantized model, and expose it through a local REST API endpoint — all without a GPU. A practical walkthrough for developers who need cost-effective, self-hosted language model inference.
From Telus deploying real-time accent-alteration for call agents to Google accelerating Gemma 4 inference with multi-token prediction, this week's AI headlines reveal a field pushing hard on both human and machine frontiers. Here are the four developments every technical decision-maker should know about today.
AI inference is no longer a back-office experiment in retail — it is the engine driving personalisation, inventory decisions, and customer experience at scale. This analysis examines where the sector stands today and what the performance demands of real-time inference mean for the bottom line.
Google Chrome's covert 4 GB AI model installation sparks a consent firestorm, while Sierra's $950M raise signals enterprise AI is still very much in its boom phase. Here's what technical decision-makers need to know from the past 48 hours.
AI inference is reshaping how legal teams handle contract analysis, regulatory monitoring, and risk assessment at scale. Here is what enterprise adoption looks like today and why inference performance has become a competitive differentiator.
From AI outperforming doctors in emergency diagnosis to Meta's robotics acquisition and GitHub Copilot's shift to per-token billing, the past 48 hours have delivered some of the most consequential signals yet for AI's next chapter. Here's what technical decision-makers need to know.
A Chinese model dethroned GPT-5.5 and Claude in coding benchmarks, while Hollywood drew a firm line against AI-generated content. Meanwhile, GitHub Copilot's new pricing model could reshape how developers think about AI assistance.
From OpenAI's hardware security partnership to IBM's efficiency breakthrough and a concerning malware discovery in a popular AI training library, the past 48 hours have reshaped the conversation around AI infrastructure, cost, and trust. Here's everything technical decision-makers need to know.
From a landmark study exposing how finetuning unlocks copyrighted content in LLMs to IBM's surprisingly capable 8B model, the past 48 hours have been dense with consequential AI developments. A data-exfiltration incident involving an AI spreadsheet tool rounds out a week that raises urgent questions about safety, efficiency, and trust.