3 AI stories explainx.ai reported on June 8, 2026, ranked by reader interest and grouped by topic. Each links to the full write-up with sources.
AI has a memory problem. A RAG pipeline over 10 million documents needs 31 GB of RAM just for the vector index. Google's TurboVec compresses that to 4 GB using TurboQuant — a data-oblivious quantization algorithm that requires zero training, runs faster than FAISS, and achieves near-optimal compression. This is how vector search should work.
Three months ago, Sam Altman described AI as a utility people buy on demand, like electricity. OpenAI would sell 'tokens' for processing queries—light users pay little, heavy users millions. Goal: intelligence too cheap to meter. But critics see forced minimums and gatekeeping as reality sets in.
May 2026 saw a record 97,006 U.S. job cuts, with AI explicitly cited for 38,579 (40%) of them. Tech led with 38,242 eliminations. While Challenger Gray calls this a real-time labor market reshape, critics suggest companies use AI as cover for planned reductions.
Single prompts are dead for serious software development. Anthropic engineers run iterative loops where Claude observes, plans, acts, and reflects over hours or days, shipping 8x more code with 80%+ authored by AI by May 2026.
Claude Cowork gives AI unprecedented access to your computer, files, and apps—but that power comes with risks. Here's Anthropic's official guidance on using Cowork safely: understanding prompt injection attacks, implementing deletion protection, managing computer use permissions, and knowing when Cowork should never be used.
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