Anthropic has opened a biology lab to test Claude with real experiments and lab equipment, expanding its AI life sciences work beyond computer simulations.
SpaceXAI’s Grok 4.7 improves coding benchmarks and keeps API prices low, but heavy token consumption could raise the cost of completing real-world tasks.
Six techniques to cut LLM API costs by up to 90%: prompt caching, model routing, batch processing, and more. (Includes a pip-installable Python library.)
Learn how to accept image submissions properly and evaluate them for AI content in the background, keeping unapproved content out of normal publication workflows.
Full-stack AI development is building an AI feature end to end. In 2026 the hard part is agentic reliability, evals, and production, not the model call.
AI is generating code faster than humans can review it. The fix is cognitive architectures that understand not just "what changed" but "why" and whether it's safe.
More AI test cases don't automatically increase confidence. Smart, risk-based statistical sampling provides more reliable AI validation than expanding a test suite.
Learn how to give every employee instant, accurate answers from your company's collective knowledge, without a six-figure infra bill or a security nightmare.
A senior engineer's guide to production MCP: JSON-RPC 2.0 transport, OAuth 2.1 auth, stateless horizontal scaling, and where the protocol genuinely breaks.
Edge inference thrives on-device for real-time, private AI. Advances in hardware and compression cut latency and costs, pushing AI away from the cloud.