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AI Infrastructure - Page 34
Model platforms, cost, latency, and operational trade-offs. Curated tldw.news briefings about ai infrastructure, with practical engineering takeaways from long-form AI and developer-tool videos.
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Latent SpaceThe Agent OS and the End of CDC
Databricks open-sourced Omnigen for agent governance and LTAP to eliminate ETL, but production readiness is still unproven.
IBM TechnologySocial Engineering Won’t End; It’s Shifting to Your Agents
Social engineering won’t stop; it’ll target AI agents instead of people. The threat surface is moving, and your IAM isn't ready.
InfoQDurable Agents Need Workflow Engines, Not Whole-Loop Sandboxes
Separating agent reasoning from tool execution in a durable workflow engine prevents state loss, eliminates idle waits, and provides an audit trail.
InfoQContext Bloat Will Drain Your AI Budget—Fix It with Just-in-Time Tools
Unused MCP servers silently multiply token costs by 175x. Gateways and registries enable just-in-time tool delivery—but real-world proof is absent.
InfoQAI’s Real Bottleneck: Context, Not Compute
CAST’s graph halved token use and doubled accuracy, letting a team cut a mainframe modernization from 7.5 years to 3.
AWS DevelopersThe System Prompt Is Your Agent's Real Strategy, Not the Model
Tools turn an LLM into an agent, but the system prompt is the real strategy. MCP aims to turn internal APIs into agent capabilities without custom code.
AssemblyAIVoice Agents Get Smarter Transcription, But Vendor Lock-in Looms
Promptable speech-to-text aims to fix voice agent disambiguation failures, but early demos leave real-world accuracy and vendor lock-in questions unanswered.
Latent SpaceThe AI Agent Security Layer You Can’t Prompt Away
Automated red teams beat humans at breaking AI agents, yet bigger models aren't safer. Enterprises need a security layer.
InfoQeBPF’s Pre-Hook Enforcement Changes Vulnerability Management
eBPF blocks exploits before they run—live CVE mitigation without reboots. Complexity is hidden behind tools like Tetragon/Cilium. Ready?
Latent SpaceThe Feedback Loop Is the Moat
Trajectory.ai productizes continual learning by capturing user corrections to auto-fine-tune models, signaling a shift from static to adaptive AI.
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