vermarish

I have the same issue. Perma-black loading screen that resolves as soon as I disable ublock origin. Using Firefox on Debian.

I interpret it a different way than that. I see application code and testing code as both a part of blue team. It's the code reviews and architectural critiques that are part of red team.

Personally, I've found GitHub's feature of AI PR reviewers exceptionally helpful. I think that's the type of red team LLM app Tao is describing here.

They made Claude Code available on their $20/month plan about two weeks ago. Your point still stands, of course.

I love the animation when you click "No" on "Do you want a new Pebble?". So extra.

(2023)

This is really cool! I've seen Jensen's inequality used many times over in my stats/ML classes, but the traffic example here gave me an "aha" moment about how it manifests.

I like the visualizations of the expected value against the individual probabilistic components as well, though I wish there were more non-uniform distributions visualized. Perhaps if we take the traffic example and tweak the distribution to be non-uniform, that might make for a cool interactive viz.

I'm not a huge fan of the color/pitch relationship they seem to be trying to establish.

What I do appreciate is the engineering design in these interactives. The circular metronome in the rhythm apps is very cool, might be good for generating musical ideas once I get past the semi-opaque UX.

It sounds like Google wants to get more edge compute in people's homes so they have a new vector to deploy AI products on, but they're still so far from actually deploying an innovative product that they can't announce anything to actually drive up hype.

Then, the rebranding is only because they've abandoned the original "minimal footprint" ethos of ChromeCast.

Very cool! Just curious, would you consider adding more exotic experimental design setups like Latin Square Design to the roadmap?

At a high level, Bayesian statistics and DL share the same objective of fitting parameters to models.

In particular, variational inference is a family of techniques that makes these kinds of problems computationally tractable. It shows up everywhere from variational autoencoders, to time-series state-space modeling, to reinforcement learning.

If you want to learn more, I recommend reading Murphy's textbooks on ML: https://probml.github.io/pml-book/book2.html

I feel like cost, availability, taste, and strength are kind of important actually.

I didn't expect Sweden's Prohibition history to be so interesting.

https://en.wikipedia.org/wiki/Systembolaget#History

This seems really cool!

I noticed the landing page has a rotating PNG gallery in desktop but not on mobile. I'm sure you must've wanted to put it in the mobile page too, was it hard to UX or just too inconvenient to implement easily?

I don't know. I think the younger 20-somethings all have this same kind of dream, but the older people get, the more comfortable they seem hiding behind NDAs at FAANGs or staying in "stealth mode." They really don't owe anyone anything.

Disclaimer: I'm one of the younger 20-somethings.

But for such a model, the joint pdf would not be written simply as a product of each individual pdf. That's what independence provides.

I mean, instead of using a fixed threshold at 500, if you use a live threshold determined by the recent average upvotes, then yeah I'd have no qualms with calling them outliers.

It's just that this method is susceptible to votecount inflation, a la Reddit from 2014 to 2024.

Right. But if you make the notation slightly more explicit, then the integral of L(data, params) over data is 1. This follows from the independence assumption.

So we ARE working with a probability function. Its output can be interpreted as probabilities. It's just that we're maximizing L = P(events | params) with respect to params.

Hi! Some background first: I'm putting together a blog right now using Hugo and D3. I'm a huge fan of D3's infinite flexibility, as seen in some famous scrollytellers [0-1], and I've spent some time experimenting with that format myself [2].

My question is: what does Observable Framework offer for data storytellers who want to blog? Is this meant to go up against Hugo/Jekyll in terms of full-fledged max-efficiency site generation? If not, are there plans to add integrations with other blogging frameworks?

[0] http://r2d3.us/ [1]: https://algorithms-tour.stitchfix.com/ [2]: https://vermarish.github.io/big-brother-barometer/

Any explanation on the choice of the colormap? It can have a powerful effect on how we perceive this visualization.

Yes, this is a counterfactual line of reasoning. It's certainly legit, and I believe it's an active field of research in ML, but at the end of the day, you're still poking around the inputs of a black-box model as opposed to examining a white-box model.

As long as it spits out a p-value and the human decides it looks pretty small.

"Statistics" = models with interpretable decision outcomes

"AI" = models without

It's just a little bit easier to hold someone accountable for a logistic regression with predictive bias than for a neural network with similar issues.

It's wonderful when an interaction makes you question that which you thought you knew.

My understanding was that, in order to produce a triangle or sawtooth wave, you need to have a phase control. This is because of the (-1)^k term in the Fourier expansion, as seen in Wikipedia.

After seeing this site produce a sawtooth wave with no phase control, my mind is blown apart, into tiny little pieces.

Location: Irvine, CA

Remote: Not important.

Willing to relocate: Yes

Technologies: Python, Java, R, SQL, pandas/matplotlib/scikit-learn, ggplot, D3, Tableau, Hadoop, Spark, Snowflake

Résumé/CV: https://vermarish.github.io/resume.pdf

Email: rishabv1@uci.edu

Hi! I'm Rishabh, I'm a Master of Data Science student at UC Irvine. I'm looking to intern Summer 2024 with a team of data scientists, ML engineers, data engineers, or really any bunch that's data-focused and full of ICs. I'm used to wearing many hats, all the way from data collection/QA, to statistical model development, to software engineering/model deployment in prod.

The joke is, the second person heard 127 degrees, assumed that was Kelvin, and dismissed it as unimpressive. Then they realized it was 127 degrees Celsius, which is MUCH more impressive.

The sticky table of contents on the left is wonderful, but I think proportionally equivalent whitespace on the right is what throws my eyes off. Wikipedia is not Medium; creating a linear narrative reading experience is not nearly as important as being able to skim through an article for highlights and figures. Now with all the whitespace, the pages are so much taller that you have to scroll and scroll just to see what's going on.

I do admit that decreasing the information density does encourage users to read every word of the introduction, which I usually tend to skip over. Hopefully the Wiki community manages to settle on a design with the best of both sides.

There are few things in design as beautiful as animations that update intuitively as you scroll. Bravo! I will be using this for my own scrollytelling inspiration :)

Could be survivorship bias. No one ever talks about a speech from the 19th century if it's poorly written.

Tangientially related: I finished my B.S. eight months ago and have since been disillusioned with the prospects of ever going to grad school. This submission is so interesting that after skipping through it, I was inspired to draft a roadmap toward grad school over the last two hours -- mostly reexamining project ideas and considering which PhDs in my network might find those interesting once developed.

Thank you for submitting this, it is absolutely fascinating.

It really does make them feel that much more collectible. I don't know much about NFTs, but this kind of pseudo-3D experience ought to be standard for browsing digital collectible art.

I also wonder how this would hold up for viewing artworks on a display. Maybe a website or browser extension that gives you a similar experience for any image you come across could be useful.