Our AI team had fun hacking on agents at the @agihouse_org @madhavsinghal_
, Andy Tang, and @pirroh presenting their Replit-native agent work
SOFTWARE
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AI Team Demonstrates Replit-Native Agent Work at AGI House
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Real-time monitoring pulse beats raw logs aggregates
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Staring at progress meters or raw log streams can be surprisingly useful — you tend to get a sense of the pulse of your job, which can be hard to get from aggregates such as graphs or looking at collected logs after the job completes.
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AI-Powered Phone Summoning: Future of Device Control
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wish to become capable of summoning my phone the way Thor gets his hammer back
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Ilumine AI transforms Midjourney images into 3D
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Ilumine AI turning a Midjourney image into 3D pic.twitter.com/iGHH0ukjbb
— AI Breakfast (@AiBreakfast) 25 juin 2023Ilumine AI turning a Midjourney image into 3D
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Three Force Multipliers for Digital Transformation
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3 force multipliers for #DigitalTransformation https://
bit.ly/3THfs4v -
The Enduring Satisfaction of Merging Code on GitHub
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Something never gets old about pushing the merge button on GitHub.
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Elastic CEO: Selling shovels for AI gold rush
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Please enjoy my interview with Elastic CEO Ashutosh “Ash” Kulkarni. Elastic CEO: Selling shovels for the AI gold rush “We want to be the group that’s selling shovels to everybody that wants to participate in the gold rush.” https://
thetechnologyletter.com/the-posts/elas
tic-ceo-selling-shovels-for-the-ai-gold-rush
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Setting Simple Goals Prevents Feature Creep Complexity
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It is better to set simple goals to avoid the complexity trap and prevent feature creep. Feature creep, also known as scope creep, is the tendency to add excessive features and functionalities to a product.
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Replit Hack Night: Workshop for Software Development Skills
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What happens at a Replit hack night? First, we share a workshop so folks can discover new tools, and learn the easiest ways to go from idea to software on Replit.
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LangChain ecosystem expands with new data ingestion utilities
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good visual from @RLanceMartin showing 1. full ecosystem of @langchain data ingestion utils
2. new additions to the various components