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Anthropic and OpenAI Want to Embed Safety Evaluators β But Willβ9
Anthropic and OpenAI propose embedding independent safety evaluators inside frontier AI labs. Experts warn true independence needs legislation and clearer rules...
Meta Now Lets AI Agents Handle the Boring Parts of WhatsAppβ9
Meta now lets AI agents handle WhatsApp Business setup via its new MCP server, automating a process that once required juggling multiple developer tools.
The Download: Biotech's Future and Cheaper, Cleaner Steelβ9
MIT Technology Review's 35 Innovators Under 35 biotech honorees are transforming medicine, plus how hydrogen and electrolysis could make steel cheaper and clean...
Powering AI Is an Architecture Problemβ9
AI data center outages show power architecture is the real bottleneck. Moving protection upstream can reshape density, permitting, and backup economics.
Hardware-Software Co-Design in the AI Era: A 2026 Perspectiveβ9
Hardware-software co-design is reshaping AI computing by 2026, enabling domain-specific architectures, chiplets, and AI-driven design automation for faster, eff...
Claude Code Observability with OpenTelemetryβ9
Learn how to enable Claude Code's OpenTelemetry telemetry, collect metrics, logs, and traces, and monitor infrastructure costs for agentic coding tools.
Jensen Huang Explains Why Nvidia Expects 70% Revenue Growth Next Yearβ9
Jensen Huang explains why Nvidia expects 70% revenue growth next year, defying skeptics as competition in AI chips intensifies from hyperscalers and startups.
AI Agents Are Thirsty for Power: How Agentic AI Is Driving theβ9
AI agents' multi-step workflows consume far more energy than chatbots, driving a massive data center buildout as enterprises deploy autonomous AI systems.
Context Windows Donβt Know Whatβs Still True β I Built aβ9
A validity layer distinguishes agents that waste effort acting on stale context from those succeeding despite it. New benchmarks reveal size, not graph shape, d...
Nvidia's Jensen Huang: AI Safety Is an Engineering Problem, Notβ9
Nvidia CEO Jensen Huang argues AI safety is an engineering problem, not a legal one, and says market pressureβnot new lawsβcan keep AI development safe.