ykl

Joined 14 years ago

Karma
2,898
Submissions
231
Member since
Oct 26
Senior Software Engineer at Walt Disney Animation Studios, working on Disney's Hyperion Renderer.

Previously at Pixar, Dreamworks Animation, the University of Pennsylvania, and Cornell University's Program of Computer Graphics.

Website: http://www.yiningkarlli.com

Mastodon: @[email protected]

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Recent submissions

Comment · 4 days ago
I thought it was a great series, and an incredible postseason run by the Brewers. Congrats to them!

Often the team that feels like the Team of Destiny is an underdog coming back from a horrible start to the season or whatever, but this year the Brewers were both the most dominant team in MLB and the team that felt like the Team of Destiny. There's something wonderful about seeing a team that has never won a chip before finally win it all, and in such a resounding fashion.

How can you not be romantic about baseball!

Comment · 21 days ago
The way Miyazaki’s changes to and own ideas for Rowlf eventually snowballed into something else entirely, Nausicaä, kind of reminds me of how Alejandro Jodorowsky’s ideas for making a Dune movie eventually took on their own life as The Incal.

Also every time I see Miyazaki concept sketches, I’m blown away by how beautiful his watercolors are.

Comment · 22 days ago
Comment · 22 days ago
Looking at the results page, it looks like it was disqualified. If you win something but then are disqualified, then by definition you did not win.

Here’s an easy to understand analogy; if you deposit a fake check for a million dollars, your account will briefly show a million dollars, but then the check bounces, and your balance goes back to what it was before because you were in fact never a millionaire.

Comment · 22 days ago
I don’t think the issue in the contest is the quality level of the AI entry; the issue is that it was fraudulent.
Comment · 1 month ago
Yeah, agreed. It's mostly just the title that is overhyped.
Comment · 1 month ago
Here is the peer reviewed publication in Nature Neuroscience:

https://www.nature.com/articles/s41593-026-02433-7

The peer reviewed publication is linked to from the press release. The press release's headline does somewhat overhype up the actual finding though. The actual finding is that different parts of the brain arise from different neural ectoderm progenitors, which explains why it’s so hard to get a forebrain neuron to behave like a hindbrain neuron and vice versa in the lab. The paper then postulates that this difference in progenitors resembles being two different organs evolutionarily, but this is not really the most important part of the paper.

BTW I suspect that this finding comes as completely unsurprising to biologists and the medical field generally. I'm not in either field, but even in high school biology we learned that the brain stem is behaviorally and structurally radically different from the rest of the brain, to the point where it seems almost obvious in hindsight that it's a different cell line and potentially has a different evolutionary history from the rest of the brain.

Comment · 2 months ago
Comment · 2 months ago
This is super cool, but at least by a quick glance, I think the coverage for China is very incomplete.
Comment · 3 months ago
Comment · 3 months ago
Why are macOS and OS X listed separately? Is it to delineate pre-2016 Macs from post-2016 Macs, when the rename to macOS happened? But in that case, I have a hard time believing that there are way more pre-2016 Macs floating around out there than post-2016 ones, as the chart shows. I have a hard time believing that anyone is running pre-2016 OS X versions at all, outside of a very small group of hobbyists; I thought Apple’s data showed that generally Mac users were pretty aggressive about being on relatively current macOS versions.

Also why separate out OS X and macOS at all when it appears that all Windows versions are lumped together and all Linux versions and distros are lumped together?

All of this seems very suspect.

Comment · 4 months ago
Is anyone else amused that the car shown on the landing page looks a lot like a Tesla Model Y, which famously does _not_ use any Nvidia chips (Tesla onboard computers have been AMD based for some time now)?
Comment · 5 months ago
AWS Bedrock is other companies’ models running on separate dedicated AWS hardware, metered through AWS billing. AWS owns and operates all of the infrastructure and the client interface; the model provider basically hands over the model and weights to AWS and AWS Bedrock take it from there.

So, as an example, if you use Codex through Bedrock, that’s a totally separate instance of Codex from anything you would be interfacing with if you directly used OpenAI’s API; if you use Codex via Bedrock, OpenAI never sees your data or prompts because they stay sandboxed in an ephemeral Bedrock instance. For many large enterprise deployments this hard boundary is a big big deal.

Over the past year, Claude being available via Bedrock and ChatGPT/Codex not being available via Bedrock has been a huge competitive advantage for Anthropic in the enterprise space.

Comment · 5 months ago
If you've used AI coding models in a large corporate setting, you'll know that a lot of big corporate deployments basically require using AWS Bedrock for two simple reasons:

1. Large companies tend to already have an existing relationship with AWS, which makes things way easier to go through vs. setting up a new vendor relationship 2. Large companies tend to have strong internal requirements about making sure that internal data stays under company control. With AWS Bedrock, you can be a lot more confident that what you're feeding into the models is not going to end up in someone's training set somewhere. For where I work, this requirement is a dealbreaker for going directly through OpenAI's API instead of going through AWS Bedrock.

Comment · 5 months ago
Ha, from the title alone I was hoping for a Derek Lowe article, and it is!

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