You can add streamlink-ttvlol with one of the known compatible proxies to remove the ads. Works great for me.
Also if there are issues with VLC crashing, I recommend MPV as it handles malformed stream data a little better. VLC will work great 99% of the time on twitch though.
Also, any plugin that Twitch doesn't like (for example TTV LOL) is detected and will prevent a log in. You'll need to disable the plugin to login, but can use it after logging in.
Thermometers, like most measurement devices, are always accurate until you get two of them. Each device has a specific tolerance (or should, otherwise it's probably a horrible tolerance), for a grill thermometer this will look like -/+5C/10F. Additionally, everything used to read a measurement needs to be calibrated regularly to ensure proper function, otherwise readings cannot be trusted. For a thermometer, the easily accessible way to calibrate are to use ice water (does it read 0C/32F) and boiling water (does it read 100C/212F). Using these constants will allow you to adjust your thermometer and get a (more) accurate reading.
I also fail to see how this applies here. What is the disinformation? Where is the Russian bias? If you are seeing something I am not, please elaborate, but the summary in the article is:
No one would blame Zelenskyy for choosing the lesser of two evils here: Western banks over Russian tanks. Yet, the grim fact remains that even if his nation succeeds in repealing the Russian invasion, the future in store for Ukraine is not necessarily one of sovereignty and self-determination but, most likely, one of Western economic tutelage.
Of course large global asset managers are going to see money signs in their eyes. The fact is that Ukrainians are being put between a rock and a hard place, and exploitation of those kind of situations is capitalism 101.
Also, if you are assuming this is Russian propaganda, why is it coming from a website ran by a British political activist funded by a British investor. It also seems to be "mostly factual". I'm failing to see where the tie to Russia is.
In my humble opinion, we too are simply prediction machines. The main difference is how efficient our brains are at the large number of tasks given for it to accomplish for it's size and energy requirements. No matter how complex the network is it is still a mapped outcome, just the number of factors weighed is extremely large and therefore gives a more intelligent response. You can see this with each increment in GPT models that use larger and larger parameter sets giving more and more intelligent answers. The fact we call these "hallucinations" shows how effective the predictive math is, and mimics humans abilities to just make things up on the fly when we don't have a solid knowledge base to back it up.
I do like this quote from the linked paper:
As we will discuss, we find interesting evidence that simple sequence prediction can lead to the formation of a world model.
That is to say, you don't need complex solutions to map complex problems, you just need to have learned how you got there. It's never purely random attempts at the problem, it's always predictive attempts that try to map the expected outcomes and learn by getting it right and wrong.
At this point, it seems fair to conclude the crow is relying on more than surface statistics. It evidently has formed a model of the game it has been hearing about, one that humans can understand and even use to steer the crow's behavior.
Which is to say that it has a predictive model based on previous games. This does not mean it must rigidly follow previous games, but that by playing many games it can see how each move affects the next. This is a simpler example because most board games are simpler than language with less possible outcomes. This isn't to say that the crow is now a grand master at the game, but it has the reasoning to understand possible next moves, knows illegal moves, and knows to take the most advantageous move based on it's current model. This is all predictive in nature, with "illegal" moves being assigned very low probability based on the learned behavior the moves never happen. This also allows possible unknown moves that a different model wouldn't consider, but overall provides what is statistically the best move based on it's model. This allows the crow to be placed into unknown situations, and give an intelligent response instead of just going "I don't know this state, I'll do something random". This does not always mean this prediction is correct, but it will most likely be a valid and more than not statistically valid move.
Overall, we aren't totally sure what "intelligence" is, we are just an organism that has developed more and more capabilities to process information based on a need to survive. But getting down to it, we know neurons take inputs and give outputs based on what it perceives is the best response for the given input, and when enough of these are added together we get "intelligence". In my opinion it's still all predictive, its how the networks are trained and gain meaning from the data that isn't always obvious. It's only when you blindly accept any answer as correct that you run into these issues we've seen with ChatGPT.
Thank you for sharing the article, it was an interesting article and helped clarify my understanding of the topic.
Disclaimer: I am not an AI researcher and just have an interest in AI. Everything I say is probably jibberish, and just my amateur understanding of the AI models used today.
It seems these LLM's use a clever trick in probability to give words meaning via statistic probabilities on their usage. So any result is just a statistical chance that those words will work well with each other. The number of indexes used to index "tokens" (in this case words), along with the number of layers in the AI model used to correlate usage of these tokens, seems to drastically increase the "intelligence" of these responses. This doesn't seem able to overcome unknown circumstances, but does what AI does and relies on probability to answer the question. So in those cases, the next closest thing from the training data is substituted and considered "good enough". I would think some confidence variable is what is truly needed for the current LLMs, as they seem capable of giving meaningful responses but give a "hallucinated" response when not enough data is available to answer the question.
Overall, I would guess this is a limitation in the LLMs ability to map words to meaning. Imagine reading everything ever written, you'd probably be able to make intelligent responses to most questions. Now imagine you were asked something that you never read, but were expected to respond with an answer. This is what I personally feel these "hallucinations" are, or imo best approximations of the LLMs are. You can only answer what you know reliably, otherwise you are just guessing.
Season 8 on more torrents is probably considered to be the new hulu reboot. This is due to the disparity in the home release seasons and the television TV seasons. So most likely if you have seasons 1-7, you have all the home release versions of the show, and therefore have the entire library.
Looking over the github issues I couldn't find a feature request for this, so it seems like it's not being considered at the moment. You could make a suggestion over there, I do think this feature would be useful but it's up to the devs to implement it.
That being said, I wouldn't count on this feature being implemented. This will only work on instances that obey the rules so some instances could remove this feature. When you look up your account on my instance (link here), it is up to my server to respect your option to hide your profile comments. This means the options have to be federated per-user, and adds a great deal of complexity to the system that can be easily thwarted by someone running an instance that chooses to not follow these rules.
If your goal is to stop people looking up historical activities, it might be best to use multiple accounts and switch to new accounts every so often to break up your history. You could also delete your content but this is again up to each instance to respect the deletion request. It's not an optimal solutions but depending on your goals it is the available solution.
Edit: Also if your curious about the downvotes, it's not the subject matter but your post violates Rule 3: Not regarding using or support for Lemmy.
Best I could find is here, which is an article by Randall Munroe (the xkcd artist), and states:
davean (the xkcd sysadmin) wrote the patch
This blog post links to another wayback machine page (thank you archive.org!) here, which explains the sorting algorithm and states it's original author:
Fortunately, the math for this was worked out in 1927 by Edwin B. Wilson.
Sounds like some QoS software is also limiting LAN traffic, seeing as it still works if the internet is disconnected. I would look if your router has "Adaptive QoS" or something similar enabled.
From Time (link: https://time.com/6133336/jan-6-capitol-riot-arrests-sentences/)
So far, the median prison sentence for the Jan. 6 rioters is 60 days, according to TIME’s calculation of the public records.
An additional 113 rioters have been sentenced to periods of home detention, while most sentences have included fines, community service and probation for low-level offenses like illegally parading or demonstrating in the Capitol, which is a misdemeanor.
Overall these people are getting less time than kids who get caught with some weed on them.
You can think you have rights, or you can know your rights, but when you violate the law don't be surprised when one of the most pro-incarceration states around throw you in jail. Lots of protesters get arrested and prosecuted as a scare tactic. This is if you are assuming these people didn't have seditious intentions, which does change things a bit. Overall sounds like they fucked around and found out, at least protesters fighting for real causes are more prepared to get fucked with by the state than these jokers.
If you are expecting a more windows-like experience, I would suggest using Ubuntu or Kubuntu (or any other distro using Gnome/KDE), as these are much closer to a modern Windows GUI. With Ubuntu, I can use the default file manager (
nautilus) and doCtrl+Fand filter files via*.ext, then select these files then cut and paste to a new folder (drag and drop does not seem to work from the search results). In Kubuntu, the search doesn't recognize*as a wildcard in KDE's file manager (dolphin) but does support drag/drop between windows.