Improving agents The old way: Manually reading traces, looking for patterns, writing evals, and creating fixes. The better way: Letting LangSmith Engine run that cycle for you
LLMS
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Gemini Embedding 2: Native Multimodal Embedding Model
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"Gemini Embedding 2" This paper turns Gemini into one native embedding model for text, image, video, audio, and interleaved multimodal inputs. Instead of converting everything into text first, it embeds raw modalities directly into one shared space, improving audio search,
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Claude Code Dynamic Workflows and Opus 4.8 Explained
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Claude Code Dynamic Workflows, explained! Anthropic dropped Opus 4.8, and everyone is talking about the benchmarks, the honesty improvements, and the cheaper fast mode. But the feature that shipped alongside it might matter more for how we actually build: Dynamic Workflows in
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Claude Code Acts as an AI Agent to Find Jobs on LinkedIn
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CLAUDE CODE CAN NOW FIND YOU A JOB (literally)
— Nico (@nicos_ai) 29 mai 2026
Built with ego lite, the browser your agent drives directly.
I gave Claude Code one prompt:
→ Search LinkedIn for AI engineering roles in San Francisco
→ Full-time, on-site, posted in the last month
→ Exclude Senior, Staff,… https://t.co/kZdNlLfNMR pic.twitter.com/4TeGRBBGpfCLAUDE CODE CAN NOW FIND YOU A JOB (literally) Built with ego lite, the browser your agent drives directly. I gave Claude Code one prompt: → Search LinkedIn for AI engineering roles in San Francisco
→ Full-time, on-site, posted in the last month
→ Exclude Senior, Staff, -
Open AI Models Gaining Traction Among AI Teams
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The latest finding in the LangSmith Signal: Open Models are having a moment. 1 in 3 AI teams ran an open-weights model in April 2026, up from 1 in 5 nine months ago. The overall number of teams using open weights grew 3x. We’re seeing newer users choose open models at a
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Grok AI Model Praised for Agentic Capabilities and Interface Design
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grok-build-0.1 for interface design.
— Pietro Schirano (@skirano) 29 mai 2026
Pretty impressed with the agentic capabilities and multi tool calling.
good model. pic.twitter.com/XGvX2C7o9Jgrok-build-0.1 for interface design. Pretty impressed with the agentic capabilities and multi tool calling. good model.
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MiniMax M2.7 model and API documentation
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… and for your reference, here is the official @MiniMax_AI documentation: – MiniMax M2.7 official page: https://
minimax.io/models/text/m27
– MiniMax API docs: https://
platform.minimax.io/docs/api-refer
ence/api-overview
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SambaNova self-evolving agents and SambaCloud playground
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Ready to test it for yourself? All the resources you need are here: – SambaNova announcement: https://
sambanova.ai/blog/build-sel
f-evolving-agents-on-sambacloud-with-minimax-2.7
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– SambaCloud Playground: https://
cloud.sambanova.ai/playground -
SambaCloud Delivers 435 TPS for MiniMax M2.7 in Multi-Agent Setups
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When you run multi-agent frameworks like @OpenClaw
, you know the output speed is critical. As the chart below shows, SambaCloud serves MiniMax M2.7 at a MASSIVE 435 output tokens per second, more than 3x faster than the nearest competitor (Fireworks at 127 t/s). Combine that -
MiniMax M2.7 deployed on SambaCloud to improve coding-agent performance
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MiniMax M2.7 just landed on @SambaNovaAI
's SambaCloud. If you build with coding agents, you know a smart model is only half the battle! Sluggish response times and strict rate limits during iterative, multi-turn coding sessions completely break your momentum. SambaCloud