AI Agents are coming to Google Search ๐https://t.co/onfr0UUVY3
— ๐จ AI News | TestingCatalog (@testingcatalog) 19 mai 2026
AI Agents are coming to Google Search
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AI Agents are coming to Google Search ๐https://t.co/onfr0UUVY3
— ๐จ AI News | TestingCatalog (@testingcatalog) 19 mai 2026
AI Agents are coming to Google Search

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Gemini Halo > Android Halo is a new space for your agents on Android devices.
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$15M ARR run-rate in 10 weeks is the kind of number that makes the entire AI agent market go quiet.
— God of Prompt (@godofprompt) 19 mai 2026
Viktor just raised a $75M Series A led by Accel.
Not for another chatbot.
Not for another tab.
Not for another โcopilotโ that still needs babysitting.
It lives inside Slack +โฆ https://t.co/3duv9xPdtH
$15M ARR run-rate in 10 weeks is the kind of number that makes the entire AI agent market go quiet. Viktor just raised a $75M Series A led by Accel. Not for another chatbot.
Not for another tab.
Not for another โcopilotโ that still needs babysitting. It lives inside Slack +

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1/ Today at #GoogleIO, weโre releasing Gemini 3.5, our latest family of models combining frontier intelligence with action. Weโre 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
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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

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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" ๐๐ฒ๐ ๐ถ๐ ๐ต๐ฒ๐ฟ๐ฒ: https://
amzn.to/42FSct9 v/ @PacktDataML ๐ช๐ต๐ฎ๐ ๐๐ผ๐ ๐๐ถ๐น๐น ๐น๐ฒ๐ฎ๐ฟ๐ป:
Design agentic coding workflows in the
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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 executionโฆ https://t.co/bjX08klev5 pic.twitter.com/84V94xeL5o
You'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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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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Itโs solid for single sessions, but concurrent agents (common in Claude Code) hit the free 40 RPM limit fast and throw 429s. The proxyโs backoffs help a bit, many just request a quota bump from NVIDIA.