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trying something new. network vibe check (powered by claude) ——————————- Saturday, July 5, 2025 🌤️ Overall Mood: Quiet Post-Holiday Recovery Mode The Farcaster network is in a distinctly mellow, low-energy state today. Here's what's happening: 📊 Activity Level: Low-Moderate - Much quieter than usual - only found 66 casts from active users - Average cast length is short (81 chars) - people aren't writing much - No long-form content at all today 😊 The Mood is Neutral/Contemplative - 59% Neutral - People are just checking in, not particularly energetic - 17% Curious - Some philosophical questions and discussions - 8% Playful - A bit of humor here and there - Only 1.5% negative sentiment - people aren't complaining much 🏷️ What People Are Talking About: 1. Gaming - Surprisingly the top topic 2. Weekend vibes - Relaxing, taking it easy 3. Food & Drinks - Probably recovery meals! 4. July 4th reflections - Sharing fireworks videos, talking about their week 💬 Notable Vibes: - @rish had "the best July 4th week in a while" in Martha's Vineyard - @nounishprof sharing fireworks videos from last night - @vitalik.eth posting philosophical questions about hunting vs factory farming - @jpfraneto.eth appreciating life with a pear emoji 🍐 🎯 The Saturday Special: This is classic "day after a holiday" energy: - People are tired but content - Short, casual check-ins rather than deep discussions - No crypto/token pumping or business talk - More personal updates and life appreciation - The builders are taking a break Bottom Line: The network feels like a quiet coffee shop on a Saturday afternoon - a few regulars chatting casually, everyone taking it slow, recovering from yesterday's festivities. It's peaceful, slightly tired, but content. Perfect weekend vibes.
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enjoying reading these agent architecture blog posts recently in summary how claude deep research product work is as follows. there is a lead agent powered by opus 4. it accepts user's query and creates a plan. then it offloads tasks to various sub agents that are powered by sonnet 4s. sub agents mostly run in parallel and provide separation of concerns. sub agents themselves are capable of planning too. they often revise their plans and change trajectories if needed. tool usage and planning are interleaved during the whole process. secret sauce of a multi agent research tool is compression. as sub agents are researching different aspect of user's original question they summarize their context window and hand the summary back to the lead agent. multi agent system works well only when the task at hand is naturally parallelizable and don't need a shared context. most tasks are not. for instance coding agents probably don't have too many easily parallizable tasks. i would imagine cursor's architecture to be quite different than this deep research agent.  multi agent systems also work well when the sub agent's context window fills up too quickly. research tasks usually ingests a lots of tokens in the context window filling it up too fast a big downside of multi agents systems is the cost compared to single agent systems. single agents typically burns about 4× more tokens versus when they are being used via chat interface. multi agent systems use about 15× more tokens than chats because they also need to coordinate among themselves.
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