cweill

5 ms·

1.
by cweill 4y ago
Yes but if you're in a Jupyter notebook, you may not be directly connected to a DB. If you're using pandas, this unlocks some scalability before needing dask and a cluster.
2.
by cweill 4y ago
If you ever need to join two large dataframes, but are OOMing on the join, write them to disk as parquet files then use DuckDB to do the join. It's amazing what you can do on one machine thanks to DuckDB.
3.
by cweill 4y ago
Do you think he was on garden leave? Some kind of non-compete?
4.
Show HN: See when YouTubers change their titles and thumbnails(chrome.google.com)
12 points by cweill 4y ago|0 comments
5.
by cweill 4y ago
I also have this question. Is the RL MDP actually encoding cause and effect? Or just learning (bidirectional) correlations between states and actions? I wonder if Pearl thinks that RL replicates his do-calculus under the hood, or if that&#x
6.
by cweill 4y ago
For reference, most gaming channels in the US have an RPM of $4-$5. I'm guessing their RPM is $1 because the channel owner is based in Europe. I imagine toy channels have higher RPMs in the US.
7.
by cweill 4y ago
Look into Coach Sommer and https://www.gymnasticbodies.com/ . Probably the best guide from beginner to advanced out there. I've been following their program for over 15 years, and there's something for every level
8.
by cweill 4y ago
How far back can this go? Would you be able to do 1-3 years of daily data?
9.
by cweill 4y ago
Having been on both sides as a customer and foundee, I love subscriptions. Every business needs a business model. Subscribers is a very clear one. I'm untrusting of any service that's free and doesn't rely on ad-revenue, beca
10.
by cweill 4y ago
Google colab is $49/mo to get an A100. Trust me when I say you can build multimillion-dollar ML companies with just that (and maybe $100 extra dollars per month of spot credits).
11.
by cweill 4y ago
I disagree with this comment, and anyone reading it should take it with a big grain of salt. Let's go back to 2016 and replace "LLM" with "Reinforcement Learning". Everyone thought every problem could be solve by RL
12.
by cweill 4y ago
So many accomplishments are the result of someone just putting one foot in front of the other with a vague idea of where they're going. Hopefully, their north star is something others find respectable once achieved. They're then l
13.
by cweill 4y ago
There's no cabal keeping small creators small. Small creators need to make better content, i.e. provide value to their audience, and they will grow. Making content isn't about sharing every little thought. It's about being co
14.
by cweill 4y ago
I feel like you're being a little myopic if you feel that all of programming is logical. Look into the probability stuff like machine learning. Read books from Nassim Taleb like Antifragile to understand that it's very easy for us
15.
by cweill 4y ago
> Hackers and painters http://www.paulgraham.com/hp.html
16.
by cweill 4y ago
Yeah, tree based models are great for tabular datasets that are primarily numeric, with only a few categorical variables. But as soon as you categorical variables have a 1000+ potential values that need 1-hot encoding or if you have any nat
17.
by cweill 4y ago
Just ignore them. On social media, ignoring a stranger is not rude. It's the default. And a perfectly valid strategy for dealing with the volume of people asking for your valuable time. Obviously, when it's someone you know or imp
18.
by cweill 4y ago
Congratulations on getting your first 100 paying users. Most startups never make a single dollar. How long did it take you to hit that number? Many of us devs want to do SAAS but don't understand what's a reasonable amount of time
19.
by cweill 4y ago
Hey Minimaxir again! This is really funny because I built an entire company around this idea: optimizing titles for YouTube videos: https://CreatorML.com . Similarly, the user can use GPT-3 to generate titles, and a secondary ran
20.
by cweill 4y ago
Couldn't you use something like Huffman encoding to compress the entire will and print it on a single sheet of paper, then the estate could use OCR to scan and reverse the compression? If you're using ASCII characters only, I assu
21.
by cweill 4y ago
I see you've read Zero to One. :) Indeterminate pessimism also means they aren't taking economic risks, whereas many Gen-Z are becoming content creators or starting businesses with their savings, so it could be more determinate op
22.
by cweill 4y ago
I made a video about this: https://youtu.be/YcJN_ZiFw9w
23.
by cweill 4y ago
Hey Jeremy, i just want to say that I love your course and the way you teach. I refer everyone to the Fast AI in my YouTube videos on getting started with machine learning. Please keep up the great work!
24.
by cweill 4y ago
Sounds to me like you might grow to resent this individual if you gave them shares. I agree with everyone else: give them a % revshare for hitting milestones. No shares this late in the game. Also, in this looming recession, equity will be
25.
by cweill 4y ago
Probably only for companies without a business model. Sentry is amazing, I pay for the business tier for three different Saas products I'm building. It's a game changer.
26.
by cweill 4y ago
I'm Poor Charlie's Almanac, Charlie Munger explains that cheating is a huge problem, and that if you create a game where people can cheat to get ahead, they almost inevitably will. At Google you could cheat the promotion system. J
27.
by cweill 4y ago
I disagree. There is a ton of low hanging fruit in applying SOTA ML techniques to niche problems. It just requires a bit of business sense, but there is a lot of money to be made there. More than what I was making as someone doing ML resear
28.
by cweill 4y ago
The Deepmind lead behind AlphaStar, there StarCraft 2 bot that beat several world champs, once said, "the best way to solve a reinforcement learning problem is with supervised learning". That's because supervised learning is
29.
by cweill 4y ago
The more assumptions you relax, the more general the algorithms become, for example going from immediate reward to delayed reward means going from supervised to reinforcement learning. The trade-off is the more general algorithms needs many
30.
by cweill 4y ago
I've been working a Full Time Employee in the industry for over 8 years at multiple companies. Never once has HR done anything remotely useful to help me when there were family problems or tragedy, except maybe a couple weeks of paid l

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