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Meta to build seven gas-fired power plants for new AI data center in Louisiana
Meta will fund seven gas-fired power plants totaling 5.2 GW in Louisiana to power a new AI data center without shifting infrastructure costs onto local residents.
Enterprise AI adoption: why an assistant beats a replacement
After visits to Baidu, Xiaomi and SenseTime, one thing stood out: in China, AI is seen not as a threat to jobs but as a tool that strengthens teams and speeds up…
How to Help an AI Model Understand Code Fast: project-graph-mcp
The developers of project-graph-mcp have released an MCP server that builds a compressed code graph and maps dependencies, so AI agents can grasp a project without…
Enterprise AI Adoption: A No-Code Chatbot (the Boiron Case)
Hybrid AI bot: automated replies and live consultants in a single chat
AI Music Fakes: Spotify Launches Release Verification for Artists
US Congress Proposes Tighter Chip Equipment Exports to China, Including Shipments Through Allies
MIT researchers describe a just-in-time world model for planning and prediction
A new arXiv paper shows how humans and AI can build a simplified world model on demand, cutting memory load while keeping predictions and planning accurate.
ChatGPT and Claude Are Too Sycophantic, Stanford Warns of the Risks of AI Flattery
Stanford researchers found that popular AI assistants agree with users too often, which can encourage deception, harmful advice and even illegal behavior.
Comprehension Debt: The Hidden Problem in AI Code Generation (Addy Osmani)
AI adoption: Epicenter fund hands analysis to its Eve system
7 free APIs for vibe coding and AI in business
Copilot Under Scrutiny: How the UK Is Keeping Microsoft's AI in Check
Running Gemma 4 for free on Kaggle: shrinking it from 62 GB to 18 GB
The author shows how to quantize Google Gemma 4 31B from 62 GB to 18.3 GB and get around free Kaggle's disk limit by deleting the Hugging Face cache while the…
How Ring rolled out AI support across 10 regions and cut costs by 21%
Ring built a single RAG chatbot on Amazon Bedrock Knowledge Bases for 10 international regions, kept answers locally accurate, and cut the cost of scaling by 21%.