A few prompts sounds very low. Would you mind running /usage and pasting the full output here? Happy to debug together
LLMS
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12 Ways to Utilize Claude AI
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๐๐ ๐๐ง๐ฌ๐๐ง๐ ๐๐ก๐ข๐ง๐ ๐ฌ ๐๐ก๐๐ญ ๐๐จ๐ฎ ๐๐๐ง ๐๐จ ๐ฐ๐ข๐ญ๐ก ๐๐ฅ๐๐ฎ๐๐!#Claude #artificialintelligence #AI #GenerativeAI #GenAI #LLMs #LLM #MCP #RAG #AgenticAI #AIAgent@sonu_monika @enilev @Jagersbergknut @TysonLester @chidambara09 @labordeolivier @BetaMoroneyโฆ pic.twitter.com/H5simrH6mk
— Amitav Bhattacharjee (@bamitav) 13 mai 2026๐๐ ๐๐ง๐ฌ๐๐ง๐ ๐๐ก๐ข๐ง๐ ๐ฌ ๐๐ก๐๐ญ ๐๐จ๐ฎ ๐๐๐ง ๐๐จ ๐ฐ๐ข๐ญ๐ก ๐๐ฅ๐๐ฎ๐๐! #Claude #artificialintelligence #AI #GenerativeAI #GenAI #LLMs #LLM #MCP #RAG #AgenticAI #AIAgent @sonu_monika @enilev @Jagersbergknut @TysonLester @chidambara09 @labordeolivier @BetaMoroney
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Man builds laser drone using Claude Code
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Man builds a drone that tracks targets with a laser using Claude Code pic.twitter.com/ZeTSHZZrXC
— AI Breakfast (@AiBreakfast) 13 mai 2026Man constructs a drone that tracks targets with a laser, powered by Claude Code
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Claude Opus 4.7 excels at identifying GPT 5.5 errors
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Claude Opus 4.7 is great at pointing out GPT 5.5 mistakes. https://t.co/HHHfSF39fP
— Shubham Saboo (@Saboo_Shubham_) 13 mai 2026Claude Opus 4.7 is great at pointing out GPT 5.5 mistakes.
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Technical insights on AI agent memory and LoCoMo accuracy
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This article is the clearest Chinese piece I've seen recently on Agent memory. Disclosure: That EverOS mentioned in the article is made by us @EverMind
. Adding three points: 1. That 93.05% LoCoMo accuracy isn't some paper hype numberโit's from a script you can run straight from -
Leveraging Multi-Agent Architectures and AI Models for Business Growth
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๐จ Agent Swarms Help Create Billion Dollar Companies
— Abacus.AI (@abacusai) 13 mai 2026
Use SOTA AI models including
– Opus 4.7 and Sonnet 4.6
– GPT 5.5
– Nano Banan Pro
– SeeDance 20
to create multi-agent architectures with swarms of agents
Thousands of people are using these multi-agent systems to runโฆ pic.twitter.com/HvMmDnAS14Agent Swarms Help Create Billion Dollar Companies Use SOTA AI models including – Opus 4.7 and Sonnet 4.6
– GPT 5.5
– Nano Banan Pro – SeeDance 20 to create multi-agent architectures with swarms of agents Thousands of people are using these multi-agent systems to run -
Research on Sparser, Faster, and Lighter Transformer Language Models
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Sparser, Faster, Lighter Transformer Language Models
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AI Autonomy Levels: Presets, Refined Inputs, and Evaluated Outputs
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increasing levels of autonomy: /skill: preset prompts /plan: human-refined inputs /goal: AI-evaluated outputs
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ELF: Embedded Language Flows โ arXiv paper
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ELF: Embedded Language Flows Hu et al.: https://
arxiv.org/abs/2605.10938 #ArtificialIntelligence #AIAgents -
Embedded Language Flows: New AI Agent Research
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ELF: Embedded Language Flows Hu et al.: https://
arxiv.org/abs/2605.10938 #ArtificialIntelligence #AIAgents