🤖 AI

OpenAI, Anthropic, local LLMs

Is 'human' a risky AGI target
nullsy.com·2d·
Discuss: Hacker News
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Lessons from 70 interviews on deploying AI Agents in production
mmc.vc·12h·
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The AI Localhost
getairbook.notion.site·13h·
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The AI Learning Plateau
zdziarski.com·2d·
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Good abstractions for humans turn out to be good abstractions for LLMs
betweentheprompts.com·1d·
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[Open Source] We deployed numerous agents in production and ended up building our own GenAI framework
reddit.com·3d·
Discuss: r/LocalLLaMA
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Researchers demonstrate Agent2Agent prompt injection risk
scworld.com·4h·
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Introducing IndQA
openai.com·21h·
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Why is AI Generated Rust slow when compared with Go/C#/Node/JavaScript
srid68.github.io·5h·
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AI web browsers are cool, helpful, and utterly untrustworthy
computerworld.com·1h·
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Altman Responds to $13B Revenue vs. $1.4T Spending
founderboat.com·2d·
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The race to train AI robots how to act human in the real world
latimes.com·10h·
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xandAI-CLI Now Lets You Access Your Shell from the Browser and Run LLM Chains
reddit.com·2h·
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OpenAI ChatKit Review: Technical Deep Dive and Why We Didn't Adopt It
quickchat.ai·4h·
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ASAN: A conceptual architecture for a self-creating, energy-efficient AI system
github.com·1d·
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Wall Street's AI Obsession Makes Perfect Sense
thefp.com·10m·
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Our newest model: Chandra (OCR)
datalab.to·2d·
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OpenAI signs $38bn cloud computing deal with Amazon
theguardian.com·1d·
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AI Function Calling: Composing and Decomposing Functions for Complex Tasks
lightcapai.medium.com·1h·
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The AI industry is running on FOMO
theverge.com·1d
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