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Jason Benn proslijedio/la je Tweet
intense people need to be around other intense people in order to validate their intensity of feeling and abnormal but not necessarily dysfunctional expressions of it
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Jason Benn proslijedio/la je Tweet
Some people asked about resources/tips on debugging machine learning models. Here you go :-) 1. http://josh-tobin.com/assets/pdf/troubleshooting-deep-neural-networks-01-19.pdf … 2. https://medium.com/infinity-aka-aseem/things-we-wish-we-had-known-before-we-started-our-first-machine-learning-project-336d1d6f2184 … 3. https://medium.com/@keeper6928/how-to-unit-test-machine-learning-code-57cf6fd81765 … 4. https://pcc.cs.byu.edu/2017/10/02/practical-advice-for-building-deep-neural-networks/ … 5. https://medium.com/ai%C2%B3-theory-practice-business/top-6-errors-novice-machine-learning-engineers-make-e82273d394db … 6. http://karpathy.github.io/2019/04/25/recipe/ …https://twitter.com/chipro/status/1188000997890646017 …
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Apparently Amazon sells tiny homes now. For $30k, you can buy a WHOLE HOUSE, plop it in your backyard, and start making a profit off Airbnb after like 8 months. [https://www.amazon.com/slp/tiny-homes/jvg7h4rd8f3m69m …](https://www.amazon.com/slp/tiny-homes/jvg7h4rd8f3m69m …)
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In what ways do you want to be as prolific and creative as Jacob is for music? Provocative essays? Startup ideas? Jokes? Formative memories? How might you study/consume that category of thing and map out its history? Hmm.
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On inspiration: "I listen to two whole records a day. I hope that, by the time I graduate college, I'll have most of the last 50 years mapped out. It plants things in your peripheral vision, and when you're creating, they just occur to you" -
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5. Counting calories with MyFitnessPal for a month at 29. Max effort, medium results. I only lasted like 4 days. I just can't abide looking at my phone this often. 6. 18 hour fasts twice/week: low effort, great results! Nice!
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4. Eating only fish and eggs for a month at 28. Max effort, scary results. I lost 1% bodyfat per week, which is fairly unhealthy. This diet came from a bodybuilder friend.
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2. Cooking paleo for a year at 24. Poor results, high effort. 3. Living on Soylent for a month at 27. Poor results, low effort, unless you consider the amusement of my family via TMI Facebook posts a notable result.
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Here's how the results-to-effort ratio compares to the long chain of weird diets I've experimented with: 1. GOMAD (gallon of milk a day) diet for a month at 20. Good results, low effort, because I looove milk. I gained 10lbs of muscle in a month, but I also got fat.
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Verbal recall starts to suffer around hour 18, which took me a few weeks to notice. If you want to read more, check out my experimental notes:https://www.notion.so/jasonbenn/Intermittent-fasting-experiment-8ac1e32fa93244a6bfb5493b075f360a …
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My findings: Hangry Levels peak at around 5 out of 10 on fasting days, which is noticeable but not overly distracting. Hangriness doesn't steadily increase in intensity throughout the day like I feared. My energy levels are consistently higher on fasting days.
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I wasn't particularly unhappy with my weight, either - I've just noticed that my weight tends to creep up by 1lb/month when I'm not paying attention, so I'm always passively looking for lower willpower ways to manage weight.
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Whelp. I've lost about 10lbs and 2% bodyfat in the last 6 weeks by fasting 2x/week. I haven't otherwise changed my diet or lifestyle at all.
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Exercise is neither necessary nor sufficient for weight loss
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I bet 1/3rd or more of the variance in intelligence is explained by unevenly distributed thought technology. Try this: https://www.syscreativity.com/landing.html
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Meme transmission is a function of simplicity and emotional appeal - not truth.
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Jason Benn proslijedio/la je Tweet
(1/4) Learning ML engineering is a long slog even for legendary hackers like
@gdb. IMO, the two hardest parts of ML eng are: 1) Feedback loops are measured in minutes or days in ML (compared to seconds in normal eng) 2) Errors are often silent in MLhttps://twitter.com/gdb/status/1156214917365551104 …
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Jason Benn proslijedio/la je Tweet
The admissions team at Lambda has more-than-doubled in size since I joined, and my #1 OKR is to write documentation for every process in the department. Increasingly convinced that the ability to write good documentation is a superpower.
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How large would a community need to be to start a Montessori school, or an Ad Astra? What members and spaces would be needed?
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Which has me thinking: what would a city-based long-term living community have to provide to survive this transition into school-age children without its residents feeling forced to move out of the city?
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