Announcing OpenAI London office:
@gdb
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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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Ridiculed Correct Beliefs Drive Technological Breakthroughs
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A surprising amount of making a breakthrough is having a correct but at-the-time ridiculed belief that it must be possible. (If the belief is insufficiently ridiculous, someone else would probably have already achieved it.)
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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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Harvard CS50 integrates GPT-3.5 and GPT-4 for programming education
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GPT-3.5 & GPT-4 for programming education — "CS50 bot" will be integrated into Harvard's CS50 class in the fall:
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Nocturnal Coding Boosts Developer Focus and Productivity
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I love coding at night — always find a next level of focus
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ML Debugging: Prioritize Reproducer Speed Over Bug Fixes
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Bugs in ML code, no matter how surprising, are almost always fixable once you create a reproducer than runs in 5 minutes or less. If your reproducer takes an hour or longer, for a confusing bug often better to work on golfing down its runtime rather than trying to fix the bug.
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Getting AI Models into the Right Mood for Problem Solving
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A surprising amount of modern AI is getting the model into the right mood for solving your problem.