We're rolling out a GPU cluster upgrade today. Pro and Mega users should see speedups of ~1.5x (/imagine from ~50 sec to ~30 sec). These renders should also be ~1.5x cheaper. Any spare GPU capacity will randomly accelerate actions for other member tiers. Enjoy!
AI
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Monetizing AI: The Hard Reality for Builders
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I don't love the BSL (I know, I know…) but agree 100,000% with the "haven't tried to make $$" comment. I've spent my entire career trying to do it and it's HARD.
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AI Chatbots Fail at Shopping Task
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I Asked #AI #Chatbots to Help Me Shop. They All Failed https://
bit.ly/3P0qYIa via @WIRED -
Eliezer pioneered e/acc ideology before most proponents
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Eliezer invented e/acc before most e/acc members were born, is the bit of missing history here.
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Python Dominates AI Development: 300K Projects on Replit
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AI Devs love Python – 50% of 300K public AI projects on Replit
– 32M forks of Replit’s main Python template
– 3.7M forks of the Python with Turtle template
– 168K Devs taking 100 Days of Python https://
x.com/Replit/status/
1679898663831879680
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ML Learning from Non-Human-Generated Data and Self-Evaluation
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This is more correctly viewed as ML learning from non-human-generated data, though, rather than learning from a literal absence of data. Even when you can learn by thinking, you still need to think and learn from those thoughts as data; self-evaluating AI systems do the same.
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Self-play and reinforcement learning in current AI systems
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With current AIs, you do need to set that up to happen and it's not on by default. That said, "self-play" is how AlphaGo, Alpha Zero, etc. learned to play Go; more generally the entire field of "reinforcement learning" is this.
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Feature Release Predated ChatGPT Custom Instructions
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Hey, this was released 2 months ago, much before chatGPT released custom instructions.
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Paul Graham Interview with Tyler Cowen on AI and Innovation
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Such a fun and delightful interview with @paulg by master interviewer @tylercowen https://
open.spotify.com/episode/6QQr6e
O9qgQTwdo7UbdiXq
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Evaluating Question-Answering Applications: A Practical Cookbook
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Everyone's building question/answering applications, but evaluating them is pretty tricky We're trying to make this easier. This cookbook shows how to evaluate the final answers (end-to-end app). We'll add one more focused on just retrieval shortly. What else would be helpful?