AI insights, industry analysis, and technical guides
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.
Amazon's AI-powered interview automation raises fresh questions about algorithmic hiring, while the debate over who owns code generated by Claude Code heats up. Plus: ChatGPT's ad strategy and open-source voice AI make waves in the developer community.
Microsoft and OpenAI dissolve their exclusive partnership, China blocks Meta's Manus acquisition, and the industry confronts a growing vendor lock-in crisis. Here's what the past 48 hours mean for the future of AI infrastructure.
Learn how to build a fully functional semantic search engine using free, open-source embedding models and a lightweight vector store — no expensive APIs required. This hands-on tutorial walks you through every step, from encoding documents to querying results in milliseconds.
From a rogue AI agent wiping a production database to NVIDIA and Google slashing inference costs, the past 48 hours have delivered a masterclass in both the promise and peril of modern AI infrastructure. Here is everything technical decision-makers need to know right now.
From real-time content personalisation to AI-assisted production pipelines, media and entertainment organisations are deploying inference at unprecedented scale. Here is what the adoption landscape looks like today and why inference efficiency has become a boardroom priority.
Google is set to pour up to $40 billion into Anthropic, reshaping the AI investment landscape. Meanwhile, new research and developer tools are surfacing critical questions about LLM quality, benchmarking, and how language models represent knowledge internally.