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AirPods and other ANC earphones have been around for ages, nothing new.

Wouldn't an AoT Python-to-x86 compiler lead to a similar situation where the x86 processor would "run Python directly"?


Adobe | Rendering Software Engineer in Test | On-site or remote, US or Western Europe

We’re a close-knit, remote-first team of engineers building next-generation, interactive rendering technology that powers a growing portfolio of high-profile creative tools, including the Substance suite of products.

We’re looking for a software engineer with a passion for computer graphics —real-time or offline— to lead and evolve our quality engineering efforts. This role combines strong software engineering skills with a deep focus on rendering quality and infrastructure. As part of the core rendering team, you’ll contribute C++ code, build tools and tests, and play a key role in ensuring the renderer stays fast, stable, and visually correct across diverse hardware.

Fee free to reach out if you have any questions, my email is in my profile.

https://careers.adobe.com/us/en/job/R154963/Rendering-Softwa...


I sent my resume, but I should inform you that your site is very, very buggy.


Any regular engineering positions rem-o-tely from Europe?


What makes his library “standard”?


I think the author pretty clearly means "standard" in the sense of "providing functionality at the same level as the C++ standard library".

For example, if I were to say "I'm going to write my own Dune", you'd probably understand that to mean my own broadly-interpreted sci-fi epic, and not literally a clone of Dune with Paul Atreides, the Bene Gesserit, etc.


This isn't about AI research, it's about delivering AI at unimaginable scale.


180 million users for chatgpt isn’t unimaginable but it does exceed the number of iPhone users in the United States.


A striking picture! Thanks for sharing!


For your first question: https://platform.openai.com/tokenizer


I saw that, but the language makes me think it's not quite the same as what's really being used?

"how a piece of text might be tokenized by a language model"

"It's important to note that the exact tokenization process varies between models."


That's why they have buttons to choose which model's tokenizer to use.


Yes, thank you, I understand that part.

It's the might condition in the description that makes me think the results might not be the exact same as what's used in the live models.


The results are the same.


Understandable but unbearable: these aren’t mutually exclusive.


A dumb thumbnail is a useful signal to know that I won’t want to watch the video anyway :)


Interesting, I’ve never heard about that. Do you have a source?


I don't think they specifically understood the idea of a "game engine" as the core product at the time. But there are plenty of references if you Google a bit that Quake was designed for modders due to the popularity of DOOM mods - so developer experience was absolutely taken into account from the start.

They had already done licensing deals for the DOOM engine at that point, including the greatest game of all time "Chex Quest."

https://en.wikipedia.org/wiki/Chex_Quest


Yeah, this is why Quake's logic for a lot of game things - monsters, weapons, moving platforms - is written in a byte-code interpreted language (QuakeC). The idea was to separate it from the engine code so modders could easily make new games without needing access to the full engine source. (And QuakeC was supposed to be simpler as a language than C, which it... is, but at the cost of weird compromises like a single number type (float) which is also used to store bitfields by directly manipulating power of two values. Which works, of course, until your power of 2 is big enough to force the precision to drop below 1...)


Keep in mind that they had developed a good relationship with Raven Software and made a good chunk of money off of their use of idTech 1 for Heretic.


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