smitop

I don't think this is really a problem; I wrote about my thoughts at https://iter.ca/post/git-malleate/

Actions runs from external contributors aren't run with Actions secrets; if you are using Actions right (i.e. not using pull_request_target wrong) you don't need to trust external contributors. (eta: iirc the original point of the Actions approval flow was preventing cryptomining spam from abusing free compute)

There are other stablecoins that aren't scams though, like USDC. I think Stripe would probably either create their own USD stable or partner with Circle.

if you fail to mention that something was made by AI as part of a compound work you could end up losing copyright over the whole thing

The source you linked says the opposite of that: "the inclusion of elements of AI-generated content in a larger human-authored work does not affect the copyrightability of the larger human-authored work as a whole"

YouTube is currently running an A/B test for server-side insertion according to what some other people have posted. I'm not getting SSAI ads so I can't really know much about them though.

Most people searching for "elm" are researching elm trees, not the language - the highest search activity was in May 2010, before Elm existed.

Insurance companies could front the money, in exchange for a premium based on how legitimate the claim seems.

tflite files can contain a ResizeOp that resizes the image: https://ai.google.dev/edge/api/tflite/java/org/tensorflow/li...

The file is only 7.7kb, so it couldn't contain many weights anyways.

Your math is wrong - it's $4B ÷ 815k residents ÷ $27k = 0.18 used Tesla Model 3s per resident. (you accidentally used 27k as both the price and the population)

JSTOR doesn't get any tax benefit for doing this because they're already fully exempt from US income tax - their parent, Ithaka, is a 501(c)(3) non-profit (see https://en.wikipedia.org/wiki/Ithaka_Harbors).

Author here, I removed the background.

Grey market phones aren't stolen. Samsung sells phones cheaper in some regions, so arbitrageurs buy them cheap in one region and resell them at a higher price in Mexico. Samsung wouldn't sell region-unlocked phones at the cheaper price because they want to make money.

Ah fuck, I grepped the YouTube transcript for WASM/WebAssembly but I guess youtube's automatic captions aren't very good. I feel silly now for not watching the video before commenting.

fun trivia: in WebAssembly it's valid to read/write to memory address 0.

The FDIC almost only does bank closures on Friday (see https://www.fdic.gov/resources/resolutions/bank-failures/fai... - there were a few non-Friday closures after the SVB failure but none before), the guess that SVB would be closed on Friday wasn't that fortuitous.

The bigger news is that Lodash is migrating from Node.js to Bun: https://github.com/lodash/lodash/commit/97d4a2fe193a66f5f96d...

The (relevant parts of the) legislation haven't come into force yet - most of the sections of the Online News Act don't come into force until the "a day to be fixed by order of the Governor in Council". Facebook is preemptively complying with the law before it's brought into force, but Google is waiting until it actually comes into effect (https://blog.google/intl/en-ca/company-news/outreach-initiat...).

In a legal context "highway" has a broader meaning than in everyday use. From the link above: highway "includes every road, street, lane or right of way designed or intended for or used by the general public for the passage of vehicles"

Reverted: https://github.com/easylist/easylist/commit/5deb8021949ef225...

What happens is you'll write a paper titled "The first SHA-256 collision: SHA-256 is broken in practice", since there are currently no known collisions (despite Bitcoin miners computing exahashes per second). The chances of you finding the first known collision by accident are overwhelming slim, and the benefits of showing that a widely used hash function is broken would greatly exceed the annoyance of a broken system.

That's not ChatGPT, you were chatting with the plain GPT-3 model. You can't use ChatGPT from the playground, you have to use https://chat.openai.com/chat to chat. ChatGPT is better than just plain GPT-3 for chatting.

This happens because Discord has a system bot also named Clyde that mostly tells users when their messages fail to send (among other system messages).

Viable on-device speech recognition is becoming reality. Apple is apparently processing some speech recognition on-device now: https://www.engadget.com/ios-15-siri-on-device-app-privacy-1...

So far there aren't any particularly good open source voice recognition models though, in large part due to a lack of training data. You can (and should!) contribute to Common Voice to help change that: https://commonvoice.mozilla.org/en

I've seen impersonation bots that add random noise to the profile picture of the user they're impersonating, so it's possible that Twitter is already doing something like that (just with a similarity threshold too low).

It looks like that GUID is specific to training data for Google's BIG-bench model? I haven't seen any indication that it's supported anywhere else, it doesn't seem to be any sort of industry-wide standard.

Decentralised stablecoins, such as Dai, do exist, and the price of Dai does manage to maintain its peg pretty well. Not all decentralised stablecoins have done as well (most notably TerraUSD) though, it's definitely hard to design an algorithmic stablecoin that maintains its peg.

Android supports "verified SMS" wherein the sender proves their identity to Google, tells Google the hashes of messages they send, and Google can tell recipients if the message hash is legit or not: https://developers.google.com/business-communications/verifi...

Note that Lsjbot is only active on certain language editions; it doesn't edit English Wikipedia. There are a lot less bot-created articles on enwiki.

For anyone curious, Bradley made $141k in 2020 including benefits (the deadline for their 2021 return is yet to pass): https://sfconservancy.org/docs/software-freedom-conservancy_...

They have some data on this (https://www.irs.gov/pub/irs-pdf/p55b.pdf, pages 33-35). Out of 509,917 examinations, 18,988 resulted in a refund. There was $7.0 billion of tax refunded in 2020. For comparison, there was $17.2 billion of additional tax generated with additional recommended and unagreed amounts.