1/ Today at #GoogleIO, we’re releasing Gemini 3.5, our latest family of models combining frontier intelligence with action. We’re starting by releasing 3.5 Flash, which is built to help you execute complex, long-horizon agentic workflows. Gemini 3.5 Flash is our strongest model
AGENTS
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Multi-agent AI systems accelerate biomedical discovery and drug design
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A big day for multi-agent AI to accelerate biomedical discovery, hypothesis generation, designing experiments with proof points of new candidate drugs (cancer, fibrosis, macular degeneration, antimicrobial resistance, and more)
2 @Nature reports @GoogleDeepMind @FutureHouseSF -
New Guide on Agentic Coding Workflows with Claude Code
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#1 best-seller in AI on Amazon… "Agentic Coding with Claude Code: The everyday developer's guide to agentic coding with Claude Code" 𝗚𝗲𝘁 𝗶𝘁 𝗵𝗲𝗿𝗲: https://
amzn.to/42FSct9 v/ @PacktDataML 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗹𝗲𝗮𝗿𝗻:
Design agentic coding workflows in the -
Anthropic Introduces Sandbox Tool Execution for AI Agents
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You're optimizing your prompt when your agent's real bug is in the execution layer.
— AlphaSignal AI (@AlphaSignalAI) 19 mai 2026
Agents fail on expired credentials, no retry logic, and tools hitting systems they shouldn't touch.
Anthropic just shipped two things that address this directly.
Sandboxes run tool execution… https://t.co/bjX08klev5 pic.twitter.com/84V94xeL5oYou're optimizing your prompt when your agent's real bug is in the execution layer. Agents fail on expired credentials, no retry logic, and tools hitting systems they shouldn't touch. Anthropic just shipped two things that address this directly. Sandboxes run tool execution
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Limitations of Markovian Models in AI Agent Trajectory Planning
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Most human tasks are not Markovian, the optimal next action cannot be determined solely by looking at the current state. It depends heavily on the past trajectory, the original intent, and context constraints. An agent that cannot compress and track its past trajectory with
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Managing rate limits for concurrent AI agents in Claude Code
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It’s solid for single sessions, but concurrent agents (common in Claude Code) hit the free 40 RPM limit fast and throw 429s. The proxy’s backoffs help a bit, many just request a quota bump from NVIDIA.
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Anthropic CEO reacts to leaked Claude training on automation
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Le CEO d’Anthropic quand il a vu cette formation Claude de 13 heures qui a fuité,
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 19 mai 2026
où un gars montre littéralement comment il a automatisé tout son business
et gagne 300 000 $ par an en pilote automatique. https://t.co/utg3gBHGun pic.twitter.com/pTjO7F7hclAnthropic's CEO when he saw this leaked 13-hour Claude training, where a guy literally shows how he automated his entire business and makes $300,000 per year on autopilot.
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The Shift to AI Voice Agents in Customer Service
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In 24 months, every customer service line you call will be a voice agent. The starting gun just went off.@polyaivoice Agentic Dialog Platform lets you build and deploy a voice AI agent in under 10 minutes.
— Robert Scoble (@Scobleizer) 19 mai 2026
Enterprise-grade dialog AI is now open to everyone.
This is going to be… https://t.co/CYKeZIdtkdIn 24 months, every customer service line you call will be a voice agent. The starting gun just went off. @polyaivoice Agentic Dialog Platform lets you build and deploy a voice AI agent in under 10 minutes. Enterprise-grade dialog AI is now open to everyone.
This is going to be -
Deep Agents integrates with NebiusAI Token Factory for agent workloads
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Deep Agents now integrates with @nebiusai Token Factory. Now, you can run agent workloads on production-grade AI infrastructure with open-source models, dedicated endpoints, real-time search, and full control over cost and data.
