1. Small Language Models are the Future of Agentic AI This position paper argues that small language models (SLMs), defined as those runnable on consumer-grade hardware, are not only sufficient but superior for many agentic AI applications.
AGENTS
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LEGO Assembly Benchmark for Robot Speed and Precision
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Is there already a "build this lego model as fast as you can" benchmark for robots?
— fofr (@fofrAI) 6 juillet 2025
– follow instructions precisely and correctly
– find the pieces needed for each instruction (starting with an unsorted pile)
– put them in the right place
– complete the model in fastest time https://t.co/Joa2dLZQNPIs there already a "build this lego model as fast as you can" benchmark for robots? – follow instructions precisely and correctly
– find the pieces needed for each instruction (starting with an unsorted pile)
– put them in the right place
– complete the model in fastest time -
Current AI Agents Complete Only 30% of Complex Tasks
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Current agents only do 30% of complex real company tasks in this paper. Though note benchmarks are a floor, not a ceiling, if:
1) More recent models show improvement in the benchmark, suggesting future models may do it
2) Better prompting/tools would make the AI perform better. -
α-AGI Meta-Agent Automates Royalty Claims Settlement
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[ α‑AGI Business ] Illustrative demo (only) — RoyaltyRadar.a.agi.eth Staked 500 $AGIALPHA; its meta-agent spun up/retired specialist α-AGI Agents on-the-fly, scraped every DSP ledger, Bayesian-proved the gaps, drafted the claim, and auto-settled € 2 140 to my
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Autonomous α-AGI Agent Settles Royalty Dispute via Smart Contract
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[ α‑AGI Business ] Illustrative demo (only) — RoyaltyRadar.a.agi.eth Staked 500 $AGIALPHA; its meta-agent spun up/retired specialist α-AGI Agents on-the-fly, scraped every DSP ledger, Bayesian-proved the gaps, drafted the claim, and auto-settled € 2 140 to my
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Context Engineering Guide: Evolving Prompt to Agent Management
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Context Engineering Guide A comprehensive guide on evolving from prompt to context engineering. LangGraph's agent framework gives developers precise control over LLM execution and context management, optimizing AI performance. Learn more at https://
medium.com/ai-artistry/co
ntext-engineering-with-agents-using-langgraph-a-guide-for-modern-ai-development-7434ffec3aa8
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AGI Alpha: Montreal AI’s Next Giant Leap Forward
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[ "We Choose To Ascend With AGI" ] Like the Apollo Moon landing, "AGI Alpha" is our next giant leap – the greatest opportunity of our time. GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… Together, we choose not merely to witness the dawn of AGI, but to ascend with it. -
AGI Alpha: Montreal AI’s Giant Leap Toward Artificial General Intelligence
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[ "We Choose To Ascend With AGI" ] Like the Apollo Moon landing, "AGI Alpha" is our next giant leap – the greatest opportunity of our time. GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… Together, we choose not merely to witness the dawn of AGI, but to ascend with it. -
AI Dominates Y Combinator: 85% Companies, Agents Leading Growth
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AI is eating the start-up world. More than 85% of @ycombinator companies are AI companies, up from ~20% before ChatGPT launched. Of the 85%, about a third are AI Agent companies, which is the fastest growing category of start-ups (~doubled in 3 years). @garrytan @paulg
