srg0
Creators, producers and manufacturers in many fields do not distribute or sell directly to consumers (musicians can't directly upload to Spotify and Apple Music; film producers don't upload to Netflix, writers don't print their books).
A small-time maker may pay a fee to the established distributor of the physical products, who takes care of compliance, and uses their packaging and distribution channels.
YouTube Music is both better and worse: UI has some usability issues and unfortunately it shares likes and playlists with the normal YouTube account, as a library it has lots of crap uploaded by YouTube users, often wrong metadata, but thanks to that it also has some niche artists and recordings which are not available on other platforms.
Most LLM users will choose the cheapest model which is good enough.
I think that LLMs' performance is already "good enough" for a lot of applications. We're in the diminishing returns part of the curve.
There are two other concerns:
1. being able to run the model on trusted infrastructure locally (so some jerk won't turn it off on a whim, and the data will remain safe and comply with the local data protection laws and policies)
2. having good tools to create AI applications (like how easy it is to fine-tune it to customer needs)
> how much the addition of copyrighted material affects how smart the resulting model is
Copyrighted material improve the models, not by making it smart, but more factually correct, because it will be trained on reputable, reliable and up-to-date sources.
If the US can harm authors from other countries, then other countries may be willing to reciprocate to American copyright holders, and introduce exceptions which allow free use of the US copyrighted material for some specific purposes they deem important.
IANAL, but it is a slippery slope, and it may hurt everyone. Who has more to lose?
And I hope that Mistral.AI takes note.
According to ChatGPT, the original proposal had:
Number of sentences: 60 Number of diphthongs: 128 (pairs of vowels in the same syllable like "ai", "ea", etc.) Number of digraphs: 225 (pairs of letters representing a single sound, like "th", "ch", etc.) Number of trigraphs: 1 (three-letter combinations representing a single sound, like "sch") Number of silent letters: 15 (common silent letter patterns like "kn", "mb", etc.)
For all intents and purposes, CRLF is just another digraph.
If we consider it as a sneaky way to increase prices, it's less steep than YouTube Premium price hike. At least you can ignore Prime Video an get all the other benefits for the same price as before.
The bug report referenced in this issue is the case of invasive tracking (basically enterprise spyware) breaking in iOS18 https://bugs.webkit.org/show_bug.cgi?id=279153
Normal web usage is not affected.
```
- WebKit is honoring the cookie's SameSite=None attribute when the cookie is set by server in this case the IdP
- Attempts to set this attribute from the client side (from the app interacting with the iOS cookie store) have been unsuccessful. For example, by setting `.sameSitePolicy = "none"`
- Safari Web Inspector shows the option to set the cookie's SameSite attribute to None, it however, does not get honored either, and is immediately reverted.
```
I agree that distribution of most human tasks' duration is skewed (not necessarily distributed log-normally), but these tasks can still have a reasonable upper bound for completion. The success is not binary. Like in grading, we need to accept that some projects will get an A, and some will get only B or C, and it's still OK. Some may fail.
And they surely can sell more gadgets and accessories for an iPad than for a laptop.
https://stackoverflow.com/questions/44876144/how-to-style-th...
Private offices facilitate sexual harassment and some other undesirable behaviors.
AI assistant is getting a dedicated app. Great. AI assistant can "supercharge your creativity" but still can't answer phone calls. Well, it's going to be as useful as Cortana and Siri.
Edit: grammar
Edit: if the players can announce only what suit they are buying and selling but do not show cards to the others, it may end up difficult to deduce what cards are missing, because only the buyer and the seller know the value of the traded card.
Normal shuffle and discarding face down is easier to explain and faster to do. And it can be done where the table is not available or is not big enough. Starting with a 44-card deck and discarding 5 down to 39 should make it more similar to the original 40-card version, but 39 is not divisible neither by 5 nor by 4, so one player will always be one card short.
Being one card short might not actually be a problem in practice if the game is played across several rounds. It may even add some interest to the game by creating an asymmetry.
It wonder if it can be adapted for playing with paper cards. One variation can be this one: shuffle a 40-card deck, discard 5 face down, it guarantees that there will be an unknown short suit (with 8 to 5 cards), the goal suit will have from 7 to 10 cards. Deal the remaining 35 cards, and start trading. With 4 players one player will be one card short, so they need a compensation like being able to reduce ante by some amount.
The balance of the game with 35 cards and random suit length will probably be different but the trading mechanics should be able to address that. So ante and payout per goal card may have to be changed.
Did it? If anything, MTG Modern prices were going down until the end of 2020, both in paper and online. And it's one most popular formats.