franzb

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...

What makes his library “standard”?

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

A striking picture! Thanks for sharing!

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

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?

Reminds me of this saga I went through as an early adopter of AMD Threadripper 3970X:

https://forum.level1techs.com/t/amd-threadripper-3970x-under...

HN discussion: https://news.ycombinator.com/item?id=22382946

Ended up investigating the issue with AMD for several months, was generously compensated by AMD for all the troubles (sending motherboards and CPUs back and forth, a real PITA), but the outcome is that I've been running since then with a custom BIOS image provided by AMD. I think at the end the fault was on Gigabyte's side.

I built an app to make dealing with Jira less painful. It caches Jira tickets in a SQLite database, then uses GPT-3.5 to translate natural language queries into SQL that it then executes. It also uses Ollama/Mixtral to summarize Jira tickets and GitHub PRs. It can generate a summary of a single Jira ticket with its associated GitHub PRs or a whole sprint. It's written in Python and runs in the terminal.

This is absolutely amazing! It brings back great memories of my childhood when I was doing similar mock UIs in QBasic, then QuickBasic, Turbo Pascal and Turbo C. Thanks for sharing!

I imagine it ran server-side (on Windows).

Why is this on GitHub?

Indeed, absolutely unbearable.

From the variety of intonations based on context, I doubt it’s speech synthesis.

One can also learn a great deal from their own (seasoned) engineering manager.

Happens to mine all the time! I figured a while back that he was just staying on the outdoor bench of a neighbor, and he had access to the food of her cats.

That's fair, but so are many headlines to people not intimately involved with the corresponding projects or tech stacks :)

As far as I know: no. It’s people like you and me from the involved companies that are largely responsible for moving things forward (most often in addition to their regular engineering work!) through Working Groups (WG) or Task Sub-Committees (TSC).

Adobe makes many 3D tools that are able to import and export USD files. For instance, you could import a USD scene into Substance Painter, paint some objects and export it again in a lossless manner.