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.
AGENTS
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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.
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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.
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AI Tool Saves 120 Work Hours by Automating Task Management
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Rho cut weekly meeting time by 90% with Perplexity Computer. Computer checks Slack, Notion, Jira, Figma, and Google Docs, then flags missing tasks and changes the team needs to see. 120 work hours saved during a 12-week project. Read the customer story:
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LangSmith Engine automates agent debugging and fixes
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TLDR: LangSmith Engine is built to accelerate the agent development lifecycle.
— LangChain (@LangChain) 19 mai 2026
1️⃣ Works autonomously to find patterns in your agents failures
2️⃣ Drafts code fixes
3️⃣ Proposes eval coverage
💻 Go beyond sifting through manual traces → https://t.co/wojV1EKd40 pic.twitter.com/0qr9JucjjCTLDR: LangSmith Engine is built to accelerate the agent development lifecycle. Works autonomously to find patterns in your agents failures Drafts code fixes Proposes eval coverage Go beyond sifting through manual traces → https://
langchain.com/blog/introduci
ng-langsmith-engine
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LangChain Engine to Automate Agent Error-to-Fix Workflow
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Most teams building agents are tracing their agent and reviewing the outputs, but the flow from error identification to merged fix is manual and slow.
— LangChain (@LangChain) 19 mai 2026
Engine is built to close that gap. https://t.co/wojV1EKd40 pic.twitter.com/2HwAvmLp3BMost teams building agents are tracing their agent and reviewing the outputs, but the flow from error identification to merged fix is manual and slow. Engine is built to close that gap. https://
langchain.com/blog/introduci
ng-langsmith-engine
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Kosmos AI agent introduces memory to pharmaceutical R&D
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LOVE this.
— Charly Wargnier (@DataChaz) 19 mai 2026
it costs ~$2.6B to develop a new drug.
But how much of that is actually science?
and how much is just paying "brilliant" ppl to repeat the same analyses and make the same avoidable mistakes?
Kosmos is the very first AI agent to give pharmaceutical R&D a memory 👀 https://t.co/DeNhqzVjXKLOVE this. it costs ~$2.6B to develop a new drug. But how much of that is actually science? and how much is just paying "brilliant" ppl to repeat the same analyses and make the same avoidable mistakes? Kosmos is the very first AI agent to give pharmaceutical R&D a memory
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Automating Software Design and Implementation with AI Agents
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Tired: open the design, read PM feedback, push pixels for 3 hours
— Pietro Schirano (@skirano) 19 mai 2026
Wired: go for a walk, pull the Linear ticket in Codex, have it build the design in MagicPath, share the link, back to your walk https://t.co/yY4ni9doTFTired: open the design, read PM feedback, push pixels for 3 hours Wired: go for a walk, pull the Linear ticket in Codex, have it build the design in MagicPath, share the link, back to your walk
