dudeami0

I think the point would to be make them like cigarette warning labels. At the moment the text can be hidden on a bottle or can in tiny text. It needs to be a big ugly white box with a black border and large text that gets people’s attention.

From my understanding, you are pretty safe as long as you don’t provoke them (walking through the middle of them might be considered provoking) or near their calves. This article from the UK states “Where recorded, 91% of HSE reported fatalities on the public were caused by cows with calves”. Basically, mothers with a child are going to be very protective.

Cows are a domesticated creature, so they are generally docile, but I would exercise caution because if need be they will use their mass and strength against you. I’ve heard of stories of farmers running from cows and narrowly escaping under a fence. Most of these did involve a farmer trying to separate a calve from it’s mother. I’ve also heard stories of cows jumping fences.

And as far as memes go:

Semi-cold? That’s extra, you’ll be lucky to afford it. The affordable water been sitting out on the pavement for a few weeks.

Is it price gouging if there is a heat advisory is my question, and how enforceable is that. For water it’s just cruel, especially in places with little access to drinkable tap water.

This is what happens when you try to extract more and more value off the top of labor, without any added value other than line must go up. When suppressing wages is the only way to improve corporate profits, profits are capped and stockholders hate this. This is in theory suppose to encourage innovation to increase efficency (without just resorting to skeleton crews or pressuring labor for more output). Monopolies stop innovating due to market control and look at other methods of increasing profits with leverage rather than market competitiveness.

Sadly it wasn’t a bid to open source the AI, rather than a bid for payment.

This would only affect the 12V rail though no? It’s not like they are beefing up the 5V rail that supplies your USB ports in excessive amounts. Picking a random PSU from pcpartpicker, the CORSAIR RM650e vs RM1200e (650W vs 1200W) both have a +5V@20A rail. There would be no need to have a larger 5V rail to support gaming cards.

Also correct me if I am wrong, most PSU’s are more efficient at 20-50% utilization, not 100%. I’m basing this off the higher ratings for 80 Plus.

Your computer doesn’t “waste” electricity, power usage is on-demand. A PSU generally has 3 “rails”; a 12V (this powers most of the devices), a 5V (for peripherals/USB) and 3.3V (iirc memory modules use this). Modern PSUs are called Switched-mode power supplies that use a Switching voltage regulator which is more efficient than traditional linear regulators.

The efficiency of the PSU/transformer would be what determines if one or the other is more wasteful. Most PSUs (I would argue any PSU of quality) will have a 80 Plus rating that defines how efficiently it can convert power. I am not familiar enough with modern wall chargers to know what their testing at… I could see the low-end wall chargers using more wasteful designs, but a high quality rapid wall charger is probably close to if not on par with a PC PSU. Hopefully someone with more knowledge of these can weigh in on this.

My question would be, why do you need a more powerful server? Are you monitoring your load and seeing it’s overloaded often? Are you just looking to be able to hook more drives to it? Do you need to re-encode video on the fly for other devices? Giving some more details would help someone to give a more insightful answer. I personally am using a Raspberry Pi 4, Chromebox w/ an i7, an old HP rack server, and an old desktop PC for my self hosting needs, as this is cheaper than buying all new hardware (though the electricity bill isn’t the greatest haha, but oh well). If you are just looking for more storage, using the USB 3.0 slots on the Raspberry Pi 4b you can add a couple extra SSDs using a NVMe to USB 3.0 enclosure. For most purposes the speeds will be fine for most applications.

As for SSD vs HDD, SSD hands down. The only reason you’d pick an HDD is if your trying to get more storage cheaper and don’t mind a higher rate of failure. If your data is at all valuable, and it almost always is, redundancy should be added as well.

And as for running Linux, if it can’t run Linux I wouldn’t want to own it.

Edit: Fixed typo

This might help, sorry if it doesn’t, but here is a link to CloudFlares 5xx error code page on error 521. If you’ve done everything in the resolution list your ISP might be actively blocking you from hosting websites, as it is generally against the ISPs ToS to do such on residential service lines. This is why I personally rent a VPS and have a wireguard VPN setup to host from the VPN, which is basically just a roll your own version of Tailscale using any VPS provider. This way you don’t need to expose anything via your ISPs router/WAN and they can’t see what you are sending or which ports you are sending on (other than the encrypted VPN traffic to your VPS of course).

I use my own router with DD-WRT in-between the ISPs router/modem and my LAN, and use a different subnet. I haven’t had any issues with this myself, and my router just sees the ISP router/modem as the WAN.

“From March 1, 2024, an order will come into force to block VPN services providing access to sites banned in Russia,” Sheikin was quoted as saying by state news agency RIA.

I assume this means it’s regarding outgoing communications, for censorship purposes most likely. I’d be surprised if they were blocking incoming VPN traffic, and I don’t think the Russian government has an issue with Yandex operating.

TL;DR: The bot is configured to condense certain instances and communities. At the moment, only beehaw.org is marked to be condensed.

Quickly looking at the source code, it seems ReplyToPostsCommand uses a SummaryTextWrapper, which contains an iterable for both CondensedSummaryTextWrapperProvider and DefaultSummaryTextWrapperProvider. The DefaultSummaryTextWrapperProvider has a priority of -1_000 (so it’s always checked last) and is set to always return true on the supports(Community $community): bool. CondensedSummaryTextWrapperProvider references the config/services.yaml for it’s supports(Community $community): bool call which lists 0 condensed communities and 1 condensed instance, being beehaw.org.

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 do Ctrl+F and 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.

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.

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.