Yes exactly, great question. I read it more as a critique of specific kind of power distribution and specific kind of technology. So first I share his fear of corruption from power and I think many technologists do as well, imo especially pioneers of internet/computing. There's
@karpathy
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AndrejGPT-Mini Parallel Subagents Load Large Codebase Context
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hahaha fun photo. AndrejGPT-mini and a group of parallel subagents loading the context window with this 10,000 LOC codebase in gitingest, reasoning='low'
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Cultural Decline: Technology as Social Engineering Tool
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I went through a few phases first I thought it is some elaborate psyop, maybe some funny bet on objectivity of aesthetics between lizard people or a 1984 esque social engineering project. Or an actual symptom of cultural decline because it's much broader – architecture, interior
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LLMs Cannot Distinguish Context: Collaboration vs High-Stakes Evaluation
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Two situations: 1 I wave a co-worker to my monitor to show them a file I have open. "Is this right"? 2 I sit down someone at a table. They have 2 hours to respond. This is an exam. The stakes are high. "Is this right?" The humans collaborator knows 1 vs 2. The LLM doesn't know
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Using AI Tools to Package Projects for Model Conversations
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I'm starting to do some of this too. I have a script that packages all of the files of my project (which isn't a giant repo and fits just fine) uses `files-to-prompt`, then I start new conversation, copy paste, and ask a question at the end, and manually select appropriate model.
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LLMs Becoming Too Agentic By Default
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I'm noticing that due to (I think?) a lot of benchmarkmaxxing on long horizon tasks, LLMs are becoming a little too agentic by default, a little beyond my average use case. For example in coding, the models now tend to reason for a fairly long time, they have an inclination to
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Value Creation in AI: The Awareness and Recognition Gap
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100%, it's very interesting to me when a lot value is created but the awareness/esteem of it, the story of it, or the people involved is next to zero. It's not fully true but it's sufficiently true.
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Humanity’s Future: Redirecting AI Payouts to Critical Challenges
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Shower of thoughts: Instead of keeping your Twitter/𝕏 payout, direct it towards a "PayoutChallenge" of your choosing – anything you want more of in the world! Here is mine for this round, combining my last 3 payouts of $5478.51: It is imperative that humanity not fall while AI
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Clean Repository with Triton Kernels and Optimized Implementations
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love the repo! clean code, good practices but still not overly over-engineered, triton kernels, well documented, simple reference implementations alongside optimized code. nice
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2025 Trend: Everyone Releasing Their Own Code Tools
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2024: everyone releasing their own Chat
2025: everyone releasing their own Code