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AI Infrastructure - Page 23
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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IBM TechnologyOWASP Top 10 2026: Agents become the new attack surface engineering leaders
OWASP's 2026 Top 10 reframes AI security: agents are now the primary attack surface, not content generation. The panel warns that controlling agent access is…
Latent SpaceProtein design works. Scaling it is the hard part.
Chai Discovery's models now predict protein structures within an atom's width. The bottleneck is no longer model capability — it's integrating with pharma's…
Y CombinatorRecord All Meetings? The Case for Company Memory as Infrastructure
Circleback CEO Ali Haghani makes the case for recording everything: the context from conversations is critical as agents do more work. The bottleneck shifts…
AI EngineerYour RL rollout fleet doesn't need to live in the same cluster
RL post-training's rollout fleet can run on any GPU globally by shipping sparse weight deltas, not full checkpoints. Modal's talk proves the math and the…
AI EngineerOpenAI's Codex harness reveals agent governance patterns teams should steal
OpenAI's Codex harness is open source and reveals production patterns for agentic infrastructure including context capping, deferred tools, and auto-review…
Hugging FacePrompt Caching: The Hidden Cost Lever in AI Agents
Prompt caching is the difference between viable agents and budget-breaking sessions. Yet most teams undermine it with one mistake: dynamic system prompts…
AI EngineerMultiplayer agents demand team-wide infrastructure, not just better models
How to scale agentic coding across your team: shared sessions, secure sandboxes, and benchmarking on your own codebase—not just public benchmarks.
AI EngineerAI agents for production ops: context beats execution
AI coding agents are creating more production issues. Background agents that run on schedules and triggers can handle operational toil, but only if they have…
Theo - t3․ggMCP finally fixes its fatal flaw—and breaks everything you built
MCP's biggest update yet: stateless core, serverless deployable, no more wasted connections. But backward incompatibility means every old MCP integration…
AI EngineerYour agents fail because of architecture, not model quality
Frank Coyle dissects Anthropic's CCA exam, extracting the anti-patterns that cost teams tokens and reliability. The insight: context isolation and agent…
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