YouTube video by 3Blue1Brown
This open problem taught me what topology is
"Constraints and impossibilities are your fuel for progress." -Grant Sanderson
Wow!
1. Best "beginners' beginning" definition of a topological space I have encountered.
2. It makes the case for the mathematical necessity of topology.
youtu.be/IQqtsm-bBRU?...
#ITeachMath #MathSky
28.12.2024 15:33 โ ๐ 14 ๐ 3 ๐ฌ 1 ๐ 0
Thanks for sharing the progess over time - this is so awesome!!
12.12.2024 12:52 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
In one year, I genetically engineered the boring Arabidopsis into a beautiful ornamental flower ๐งฌ๐น
Here is how and why I gave this model organism a visual upgrade ๐งต(1/7)
12.12.2024 11:23 โ ๐ 468 ๐ 180 ๐ฌ 22 ๐ 38
โThey said it could not be doneโ. Weโre releasing Pleias 1.0, the first suite of models trained on open data (either permissibly licensed or uncopyrighted): Pleias-3b, Pleias-1b and Pleias-350m, all based on the two trillion tokens set from Common Corpus.
05.12.2024 16:39 โ ๐ 248 ๐ 85 ๐ฌ 11 ๐ 19
Honestly that sounds like so much fun to just idly mess about with - it's so cool
04.12.2024 06:46 โ ๐ 2 ๐ 0 ๐ฌ 1 ๐ 0
I somewhat fall into that category and find that it's helpful if loaded keywords are differentiated (e.g. bold) when I'm reading stuff above my level. It makes it easier to know what I need to look at to fill in the assumed knowledge gaps.
04.12.2024 06:38 โ ๐ 1 ๐ 0 ๐ฌ 0 ๐ 0
Making "intermediate+" content
It's that the internet needs, and we're the only people who can create it for ourselves and our peers.
This week on Counting Stuff, I want the internet to have more "intermediate+" level content (so I can read it!) but writing at that level seems hard so I thought about why and ways to make it somewhat easier #dataBS
www.counting-stuff.com/making-inter...
03.12.2024 14:33 โ ๐ 29 ๐ 5 ๐ฌ 5 ๐ 2
ML practitioners have forgotten a fundamental lesson from statistics: correlation does not imply causation. Not only do most state-of-the-art methods neglect this crucial principle, but by doing so they often produce nonsensical or flawed causal models, akin to social astrology or physiognomy.
02.12.2024 06:54 โ ๐ 42 ๐ 6 ๐ฌ 1 ๐ 1
GitHub - ryokamoi/llm-self-correction-papers: Papers on Self-Correction of LLMs
Papers on Self-Correction of LLMs. Contribute to ryokamoi/llm-self-correction-papers development by creating an account on GitHub.
Curious about LLM self-correction? Check out our reading list!
๐ github.com/ryokamoi/llm...
We feature papers & blogs in
* Key self-correction papers
* Negative results in self-correction
* Projects inspired by OpenAI o1
29.11.2024 21:27 โ ๐ 10 ๐ 2 ๐ฌ 1 ๐ 0
These designs are always so awesome mate! How much planning do they take?
30.11.2024 05:25 โ ๐ 2 ๐ 0 ๐ฌ 1 ๐ 0
Read through this making flashcards as you to: https://eugeneyan.com/writing/llm-patterns/
Then spin up a RAG-enhanced chatbot using pgvector on your favourite subject, and keep improving it when you learn about cool techniques
---
Lots of people can get impressive demos up and running, but if you want to run AI products in production, you're going to have to do system evals. System evals make sure your product is doing what it says on the box with unquantifiable qualities.
We wrote a zine on system evals without jargon: https://forestfriends.tech
Eugene Yan has written extensively on it https://eugeneyan.com/writing/evals/
Hamel has as well. https://hamel.dev/blog/posts/evals/
Feels good to be mentioned on HN for engineers learning AI ๐ฅฐ Helping others is a big reason I write. Here's a list on ML/AI:
## Building AI systems
โข Patterns for Building LLM-based Systems: eugeneyan.com/writing/llm-...
โข What Weโve Learned From A Year of Building with LLMs: applied-llms.org
27.11.2024 17:27 โ ๐ 70 ๐ 10 ๐ฌ 3 ๐ 2
So, do we distrust donuts?
27.11.2024 19:09 โ ๐ 0 ๐ 0 ๐ฌ 1 ๐ 0
I finished it.
27.11.2024 03:58 โ ๐ 469 ๐ 33 ๐ฌ 28 ๐ 3
so true - it's unnerving how quickly we're progressing towards AGI being plausible while being so unprepared to ensure proper use - this really isn't something we can fix after the fact if it goes wrong
24.11.2024 16:18 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Many circles of different sizes, representing a visualization of inequality
The Gini coefficient is the standard way to measure inequality, but what does it mean, concretely? I made a little visualization to build intuition:
www.bewitched.com/demo/gini
23.11.2024 15:35 โ ๐ 199 ๐ 57 ๐ฌ 10 ๐ 8
Understanding Multimodal LLMs
An introduction to the main techniques and latest models
Outlined an AI research review article for Decemberโฆ I love traveling but I also canโt wait to be back on my computer ๐
.
In the meantime, if you are curious how Multimodal LLMs work, I recently wrote an article to explain the main & recent approaches: magazine.sebastianraschka.com/p/understand...
24.11.2024 06:54 โ ๐ 133 ๐ 20 ๐ฌ 2 ๐ 1
art teacher: Is that a bird or a plane?
young clark kent: *crumples self portrait*
23.11.2024 13:55 โ ๐ 3171 ๐ 551 ๐ฌ 29 ๐ 10
From Wikipedia entry on Schumpeter:
"Schumpeter's most popular book in English is probably Capitalism, Socialism and Democracy. While he agrees with Karl Marx that capitalism will collapse and be replaced by socialism, Schumpeter predicts a different way this will come about. While Marx predicted that capitalism would be overthrown by a violent proletarian revolution, which occurred in the least capitalist countries, Schumpeter believed that capitalism would gradually weaken itself and eventually collapse. Specifically, the success of capitalism would lead to corporatism and to values hostile to capitalism, especially among intellectuals.
"Intellectuals" are a social class in a position to critique societal matters for which they are not directly responsible and to stand up for the interests of other classes. Intellectuals tend to have a negative outlook on capitalism, even while relying on it for prestige because their professions rely on antagonism toward it. The growing number of people with higher education is a great advantage of capitalism, according to Schumpeter. Yet, unemployment and a lack of fulfilling work will lead to intellectual critique, discontent, and protests."
From wikipedia entry on Schumpeter:
"Parliaments will increasingly elect social democratic parties, and democratic majorities will vote for restrictions on entrepreneurship. Increasing workers' self-management, industrial democracy and regulatory institutions would evolve non-politically into "liberal capitalism". Thus, the intellectual and social climate needed for thriving entrepreneurship will be replaced by some form of "laborism". This will exacerbate "creative destruction" (a borrowed phrase to denote an endogenous replacement of old ways of doing things by new ways), which will ultimately undermine and destroy the capitalist structure."
From wikipedia entry on Schumpeter:
"Schumpeter's view of democracy has been described as "elitist", as he criticizes the rationality and knowledge of voters, and expresses a preference for politicians making decisions.[45][46][47] Democracy is therefore in a sense a means to ensure circulation among elites.[46] However, studies by Natasha Piano of the University of Chicago emphasize that Schumpeter had substantial disdain for elites as well."
More people should read Schumpeter. Homeboy passed in 1950 but he understood "emergence", the centrality of entrepreneurship and innovation in driving both economic destruction and growth, and the ultimate end of industrial-labor formulation of "capital".
23.11.2024 14:50 โ ๐ 19 ๐ 2 ๐ฌ 1 ๐ 1
Bayesian Neural Networks
Bayesian neural networks address overfitting by modeling uncertainty in the weights. Plus they can be trained using standard neural net tools using an algorithm called stochastic variational inference, which we cover at the end of this tutorial.
23.11.2024 00:11 โ ๐ 42 ๐ 5 ๐ฌ 1 ๐ 1
Free eBook: Machine Learning Systems by Vijay Janapa Reddi
Principles and Practices of Engineering Artificially Intelligent Systems
mlsysbook.ai
21.11.2024 03:05 โ ๐ 30 ๐ 4 ๐ฌ 1 ๐ 0
excited for you! gl
21.11.2024 19:27 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
If you struggle with math and linear algebra, which is very useful for game development; this website is excellent to learn, interactive examples to learn Vectors, matrix, dot product. immersivemath.com/ila/index.html #gamedev #math
19.11.2024 11:39 โ ๐ 363 ๐ 86 ๐ฌ 16 ๐ 4
Professor Dave Explains on YT has a 166 video "maths (all of it)" playlist that literally covers from addition to university content. Also, pracisting solving problembs as much as possible is cliche but true
21.11.2024 05:10 โ ๐ 1 ๐ 0 ๐ฌ 1 ๐ 0
I still have to plug in an ol' USB-A sometimes and I'd say my lifetime success rate of getting it flipped the right way is around 15%, despite the 50% odds
19.11.2024 01:26 โ ๐ 6 ๐ 1 ๐ฌ 1 ๐ 0
Loose pages with tables listing topics for maths and coding with bright headings on a wooden table
Made some neat tables for the new and old content I'm going through this holiday to make it more fun and give me a block to tick off when I'm done #studysky #mathsky
18.11.2024 22:23 โ ๐ 2 ๐ 0 ๐ฌ 0 ๐ 0
any recs for resources to go through for this?
16.11.2024 11:17 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
Postdoc and level 5 Plant Programmer ๐งฌ
Engineering new types of flowers for art and education ๐น
www.nickdesnoyer.com
PhD student at JHU. @Databricks MosaicML, Microsoft Semantic Machines/Translate, Georgia Tech. I like datasets!
https://marcmarone.com/
Playwright, performer, theatre nerd
๐ probably at the beach ๐
Retired professor of psychology at University of Oxford. Interests in developmental neuropsychology and improving science. Blogs at deevybee.blogspot.com
Princeton computer science prof. I write about the societal impact of AI, tech ethics, & social media platforms. https://www.cs.princeton.edu/~arvindn/
BOOK: AI Snake Oil. https://www.aisnakeoil.com/
Working towards the safe development of AI for the benefit of all at Universitรฉ de Montrรฉal, LawZero and Mila.
A.M. Turing Award Recipient and most-cited AI researcher.
https://lawzero.org/en
https://yoshuabengio.org/profile/
Maths teacher. I aim to share lots of snippets of my lessons using #MathsToday and would encourage you to do the same!
Also occasional geometry puzzles ๐งฉ
ML/AI researcher & former stats professor turned LLM research engineer. Author of "Build a Large Language Model From Scratch" (https://amzn.to/4fqvn0D) & reasoning (https://mng.bz/Nwr7).
Also blogging about AI research at magazine.sebastianraschka.com.
Open Source AI/ML Research
https://github.com/ScienceArtMagic
https://hf.co/ScienceArtMagic
https://www.youtube.com/@ScienceArtMagic
Techdirt guy. Writes about social media, copyright, free speech, content moderation, civil liberties and stuff like that. Once wrote a paper that may have helped inspire this service & now I'm on its board: https://bit.ly/protocolnotplatform
Journalist specialising in science and research. Based in Cape Town, South Africa. Wannabe potter and mother of horse, cat and hound. She/her.
Cheese consumer, sociolinguist, immigrant ๐ฌ๐ง ๐ ๐ซ๐ฎ
https://orcid.org/0000-0003-1124-7132
The poster formerly known as "waxpancake". I make @Waxy.org and @xoxofest.com. Also: Skittish, Upcoming, Supercut, Playfic, Kind of Bloop. Helped build Kickstarter.
WWW: https://waxy.org
Mastodon: https://xoxo.zone/@andybaio
hello. maths, languages, other stuff. no i am not the rapper or the dj of the same name
narrative director at Firaxis. emergent/systemic storytelling. nominated for awards and things. lit PhD. awful at Greek. better profile coming soon.
Design Manager @ Figma // Co-creator of Hello Weather. Ex-Twitter and some other stuff. he/him
๐ https://jonas.do
๐ @helloweather.com
Amateur adult, novice dad, humble husband & professor optimist. Senior Product Design Manager based in Orlando, FL. ๐ด jasongraphix.com
Design (particularly of the digi-gov variety), books and brunch (usually from NE England). Brits think I sound Kiwi, Kiwis think I sound English. Links-a-plenty, views my own. https://vickyteinaki.com