Once you understand SR 26-2, the next step is building the right governance. The last post of our SR 26-2 series, Nick Goble lays out the organization, technology, and process needed to respond and prepare for whatever comes next. Part 3 → https://
domino.buzz/4cSPYLy
SYSTEMS
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SR 26-2 Governance: Organization Technology and Process for Compliance
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AI Agents Drive New Infrastructure Demands for Modern Inference
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AI isn’t just generating answers anymore. It’s running workflows.
— SambaNova (@SambaNovaAI) 1 mai 2026
That shift changes everything about infrastructure. CPUs, GPUs, and RDUs each play a role, working together to keep agents moving.
This is what modern inference looks like 🦾 pic.twitter.com/GkSjTvOFi3AI isn’t just generating answers anymore. It’s running workflows. That shift changes everything about infrastructure. CPUs, GPUs, and RDUs each play a role, working together to keep agents moving. This is what modern inference looks like
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Speculative Decoding Accelerates RL Rollouts 2.5x in NeMo-RL
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RL post-training is hitting a rollout bottleneck. This new paper from #NVIDIAResearch shows how speculative decoding in NeMo-RL + @vllm_project can accelerate rollouts losslessly, with 1.8x higher throughput at 8B and projected 2.5x end-to-end speedup at 235B. Read the full
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Running Claude Code on VPS Keeps Working After Closing Laptop
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Another reason why I run Claude Code on the VPS of the site I'm working on directly in production I can close my laptop and it keeps going!
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MakeMyTrip Reduces Personalization Latency with Apache Spark Structured Streaming
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@MakeMyTrip reduced personalization latency from about 1.23 seconds to 44 ms P50 by adopting Real-Time Mode in Apache Spark Structured Streaming, achieving millisecond performance without adding a second engine. Processing traveler searches as continuous streams delivered:
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Build Web Agents with LangChain and Browserbase Subagents
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Build agents with LangChain + @browserbase.
— LangChain (@LangChain) 1 mai 2026
Give your Deep Agents search, fetch, and browser subagents to access the full web.
All with full observability with the Browserbase dashboard. pic.twitter.com/0FoU1OCJsvBuild agents with LangChain + @browserbase
. Give your Deep Agents search, fetch, and browser subagents to access the full web. All with full observability with the Browserbase dashboard. -
Microsoft Research Paper on Training Computer-Use Agents
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NEW paper from Microsoft Research. If you care about training computer-use agents, this is one to keep. (bookmark it) The team builds 1,000 synthetic computers (each with realistic directory structures, documents, and artifacts) then runs long-horizon simulations on top of
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Webinar: Build Production-Ready Apps Faster with Modern Frameworks and Serverless Postgres
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You want to build, not spend hours setting up infrastructure. In this webinar, discover how to go from an idea to a production-ready app faster using modern frameworks, real-time iteration, and serverless Postgres. Join experts from Databricks and @cursor_ai on May 5 (AMER),
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Recursive Multi-Agent LLMs Collaborate in Latent Space
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“Recursive Multi-Agent Systems” Many multi-agent LLM systems rely on agents passing text back and forth. This paper argues for a different approach where it makes agents recur together in latent space. So agents refine latent thoughts, pass hidden states across one another,
