All news
11343
Jane Street invests another $1 billion in CoreWeave and plans to spend $6 billion on its services
Trading firm Jane Street has doubled down on CoreWeave: it put another $1 billion of equity into the AI cloud provider and plans to buy roughly $6 billion worth of…
Machine Learning Mastery explains how to build long-context RAG without wasting tokens
Machine Learning Mastery walks through five long-context RAG techniques: reranking, caching, hybrid search, metadata and query expansion, to cut noise, cost and…
KDnuggets explains how to take language models to production in seven key steps
KDnuggets has published an LLM deployment guide covering scenario definition, model choice, guardrails, monitoring, cost control and iteration based on user…
Nano Banana, Qwen and ChatGPT compared on image generation quality
European Commission: Meta's fee for AI rivals to access WhatsApp amounts to a ban
Memory card makers cut storage speeds as flash shortage bites
Commvault launches AI Protect, a "Ctrl+Z" for AI agents in corporate clouds
Habr AI: Why LLM Hallucinations Look Less Like a Math Bug and More Like a Human Lapse
A Habr AI column argues that LLM hallucinations are not just an engineering defect but a replay of typical human thinking failures.
Snap to cut 1,000 jobs as Evan Spiegel bets on AI-driven efficiency
Snap is laying off about 1,000 people, or 16% of its staff, aiming to save over $500 million a year. Management says AI will let a smaller team do more.
Qdrant and Hybrid RAG: Searching Corporate Documents Without the Cloud or Data Leaks
Alibaba unveils Happy Oyster, an AI model for generating interactive 3D worlds
AWS shows semantic video search on Amazon Bedrock with Nova Multimodal Embeddings
Amazon Bedrock now tracks inference costs by user and application
Claude and the illusion of honesty: why people trust chatbots over their own judgment
A column on Claude and "brutally honest" prompts shows how easily people mistake a bot's confident tone for expertise and start handing their own judgment over to…
Wildberries explains how to train AI agents with reflection, interviews and a God-agent
A Wildberries engineer lays out practices for working with AI agents: splitting context, interviewing before a task, reflecting afterward, and a separate God-agent…