ICYMI: SambaNova + @Intel just laid out a new blueprint for agentic AI inference — disaggregated by design. RDUs for decode, Xeon 6 for orchestration + tool calling. Built for real enterprise workloads. H2 2026. @sallywf @eetimes
AGENTS
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Snorkel speakers featured at ICLR Brazil conference
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Who else is excited about @iclr_conf Brazil next week🇧🇷?!
— Snorkel AI (@SnorkelAI) 15 avril 2026
Snorkel’s @fredsala and @vincentsunnchen are featured speakers across five workshops. Topics include data quality, world models and scaling, agent memory, and multi-agent learning.
Full docket of learning opportunities,… pic.twitter.com/fBYRQEAHeqWho else is excited about @iclr_conf Brazil next week?! Snorkel’s @fredsala and @vincentsunnchen are featured speakers across five workshops. Topics include data quality, world models and scaling, agent memory, and multi-agent learning. Full docket of learning opportunities,
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Multi-Agent Orchestration Demo with Coordinator
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It’s very important to understand that this petition is signed by more than 700,000 real, uniquely identified individuals with their official and unique access certified by the official technologies provided by the Government. It’s not some bullshit petition that 700 people
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New Managed Agents Updates: Memory Retrieval Emphasized
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C’est vrai que désormais il ne faut plus se voiler la face. Y’a un problème. cc @claudeai
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SambaNova Intel deliver 200+ tokens per second premium inference
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A single prompt triggers reasoning, tool calls, and validation—not just token generation. That’s why raw throughput isn’t enough. Deliver premium inference at 200+ t/s while maintaining the flexibility AI agents demand. Read the blog: https://
sambanova.ai/blog/sambanova
-and-intel-blog?utm_source=x&utm_medium=organic&utm_content=blog-announcement
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AI Agents Creating Databases Four Times Faster Than Humans
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AI agents are already creating ~4x more databases than humans in Lakebase. That shows how quickly software development is changing. Agents generate, branch, test, and refine applications in rapid cycles, instead of building one system at a time. Many of these databases are
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Securing AI Agents: Sandboxing and Credential Management Strategies
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Yes, you can enable sandboxing and decide what your agent has access too. We also have secure storage for credentials; there’s also plugins who swap these at the proxy level – depending what level of isolation you prefer. You can also fully swap to local models.
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Agents reducing barriers to open-source models and datasets
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What I've been excited about is to see if agents can reduce the barrier to entry of building open-source models and datasets which might impact the balance open vs close and off-the-shelf vs customized models
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Structured Outputs Improve Subagent Communication Clarity
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communication is hard! structured outputs make its more clear how subagents should communicate back to the main agent
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Maintainers Use Bots for Faster Patching and Deployment
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Maintainers have bots too to patch and deploy faster too!