> If a tool marks 40% of new papers as machine-written but also marks 20% of papers written before ChatGPT existed, the real story is the 20% nobody mentioned.
When 65% of the papers you read have the characteristics of being AI written, whether or not you use AI to write, your writing will be influenced by the AI style. I imagine this must be particularly the case for newbie researchers who are still developing their writing style
I used to work at Distributive (formerly "Kings Distributed Systems") on its DCP compute platform" which is entirely what you're describing. You can deploy a JS/WASM based workload, and it will be "sliced" and served to browser-based compute nodes. With WebGPU you can sort of have inference executing in the browser too. Incredible people there with an awesome project
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.
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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?
> you can run an initial VDiff, and then resume that one as you get closer to the cutover point.
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?
Why is there an expectation for social media services to have such high uptime? It's not an ISP or cloud provider, why does it matter if it goes down occasionally?
It would be cool to encode the chess board state and turn into the URL so you could hurl urls back and forth over slack to play chess just by clicking on it
but there's something charming about the ascii art over slack in this project that would miss
> `seapie.breakpoint()` opens a working `>>>` REPL at the current execution state. Any changes to variables or function definitions persist. Debugger state is exposed via built-ins (e.g. `_magic_`), and stepping/frame control/etc is handled via small `!commands`.
This is largely what `pdb` does already, no? Example:
I keep this handy note in my pocket and read it before writing or engaging in any conversation (:
"""
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.
"""
My friend loves to use em dashes, not hyphens "-" but em dashes "—". He can no longer use them since people would suspect his writing was AI generated otherwise...
I had a good time being involved with a couple JavaScript runtimes which didn't make this list, most notably PythonMonkey [1] which embeds SpiderMonkey into Python and uses Python's event loop for its async stuff. Another interesting one was DCP which is sort of a pseudo js runtime that runs ontop of other js runtimes (including a custom sandboxed server-side runtime we made [3], but also any web browser), to provide cloud function like compute for js and wasm based workloads.
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...
Am I crazy or did my 2006 iMac come with a home media server for serving movies / tv shows / music photos from your filesystem. I think it even came with a slick looking remote!
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
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.
I completed a take-home project for a company I was interviewing with, and the interviewer remarked at how it was obvious my README.md was AI generated. It wasn't.
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?