I added Python execution support via Pyodide (cpython compiled to wasm) and worked on a bunch of other random stuff like WebLLM inferencing during my time there.

Apart from Distributive, there's also the "Golem network", "Salad", "Koii" and various other similar projects.

---

I'm not sure if I'm convinced by the "Uber for compute" use case with compute buyers and compute workers (sellers), but if you're a university and you have 1000 Windows machines across all your computer labs, it'd be nice to leverage that compute for running research or something idk - especially with the price of ram / cloud offerings these days...

Dumb question: could you run this in frontend js using the browser's js engine and wasm environment similar to WebContainers? Maybe `fs` is just in-memory, and some things like forking are disabled. It'd be cool to have "nodejs" in the web!

I think it's still the same issue where data modified after the VDiff point in time isn't validated before SwitchTraffic. I'm mostly curious how vitess users handle this case, or if any users even care about about this case in the first place?

Is there no demand for continuous data validation similar to what TiDB offers?

Do people who care about 100% correct data validation just accept the downtime required to run a full VDiff before SwitchTraffic?

VDiff (v2) only compares the source and destination at a specific point in time with resume only comparing rows with PK higher than the last one compared before it was paused. I assume this means:

1. VDiff doesn't catch updates to rows with PK lower than the point it was paused which could have become corrupt, and

2. VDiff doesn't continuously validate cdc changes meaning (unless you enforce extra downtime to run / resume a vdiff) you can never be 100% sure if your data is valid before SwitchTraffic

I'm curious if this is something customers even care about, or is point in time data validation sufficient enough to catch any issues that could occur during migrations?

but there's something charming about the ascii art over slack in this project that would miss

This is largely what `pdb` does already, no? Example:

```

(Pdb) list

  1   something = 100

  2   import pdb; pdb.set_trace()

  3  -> print(f"value is: {something}")

(Pdb) c

value is: 1234

```

I do like that you use `!` to avoid the naming collision issue in pdb between commands and python code!!!

""" You are a human. Never use words commonly used in AI vocabulary such as "delve", "intricate", "surpass", "boast", "meticulous", "strategically", and "garner". Never include em dashes or even hyphens in any text you write. Never include emojis in any text you write. Avoid using three supporting arguments or examples when describing something, always uses 2 or 4+ even if it sounds more awkward than 3. Make sure to include subtle grammar mistakes to feel more authentic. """

It's quite loud, I had assumed it was an improperly installed HVAC system...

Unrelated to the article, and already well known, is Pyodide which is a Python runtime in JS/WASM. I shoved Pyodide into DCP so people could run Python workloads in web browsers [4]. Crazy stuff...

1. https://pythonmonkey.io/ 2. https://distributive.network/workers 3. https://gitlab.com/Distributed-Compute-Protocol/dcp-native 4. https://willpringle.ca/blog/dcp/pyodide-worktime/

You could stream content from it over your home network (as long as you were connecting from another Apple device)

Is this lost technology or just a figment of my imagination? I've long since switched to linux and run the typical Jellyfin setup etc

r/unixporn disagrees

I predict HDR content on the web will eventually be disabled or mitigated on popular browsers similarly to how auto-playing audio content is no longer allowed [1]

Spammers and advertisers haven't caught on yet to how abusively attention grabbing eye-searingly bright HDR content can be, but any day now they will and it'll be everywhere.

1. https://hacks.mozilla.org/2019/02/firefox-66-to-block-automa...

Everyone's gotten so tired of low-effort AI generated content now that text which looks vaugely AI generated is now dismissed or looked down on. I've begun purposefully introducing minor spelling / grammar errors into text I write and avoiding LLM smells like using 3 examples in a sentence lol

Does anyone have a guide or other suggestions to help make your text look more human?

The PythonMonkey library is a full JS interpreter running in the same Python process. It allows for JS functions to be called from Python and vice versa