Comment Small reservoir (Score 2) 120
The reservoir was around 2,200 acres, which is a smallish one in the scheme of things. For example it wasn't even large enough to make this list.
The reservoir was around 2,200 acres, which is a smallish one in the scheme of things. For example it wasn't even large enough to make this list.
Does California now have even less water available?
Technically there is more water available anually. Reservoirs lose a significant amount of water by evaporation due to the amount of additional water surface area they create.
And if, as the study shows- the stress of the 9 months of pregnancy is equivalent to two years of life, and the woman only gets back a large portion of that investment with engaging in breastfeeding- then does a late-term abortion also abort the positive portions of birth and breastfeeding?
Venezuela
Once you're used to EVs, you don't really want to faff around with ICE cars.
Just curious what is such a major difference in the operation / driving of ICE vs EV? Are you talking about an ICE with a manual transmission? Or maybe like a model T you have to crank to start? Just wondering exactly what faffing around you're having to do with an ICE vehicle. Besides vastly more places to refuel and in a much shorter amount of time, I really don't know what extra difficulty you have driving a modern ICE vehicle.
If you're saying you prefer a Telsa's entertainment system, ergonomics, control interfaces, Autopilot, etc, then of course none of that is specific to "ICE cars" whatsoever.
Only if you're recycling the plastic into more plastic. And that's worthless.
What you should be doing is recycling it back into fuel for electricity production- but nobody wants that even with all the scrubbers- they made it illegal to EVER open a 2nd garbage burning electric plant in Oregon.
The model is too big for casual use (IE running inference at home). LLama can just barely fit on either one 48 GB GPU, or two 24 GB GPUs. The number of parameters in Grok is much, much greater, really placing it outside the realistic realm of those wanting to run inference on their own hardware in a more hobbyist fashion. Sure, you can always run it on a normal CPU with a ton of RAM, but you'd be looking at multiple seconds per token.
In manufacturing, everything little thing is documented
I'm curious if it is a normal part of production to remove and reinstall the door plug. It sounds like this was some kind of exception during the manufacturing that it needed to be removed after it was already installed. That could have been done by someone not qualified to work on that specific aspect of the plane, and not properly documented as well since it had already been assembled.
Ironically this could be related to quality control and inspection, where an inspector had the door removed for some reason, but then it was not correctly reinstalled.
Yes, exactly, this is a very slippery slope. Then you have presidents banning foreign platforms because they have political leanings that hinder their party or chances at being reelected, etc.
Global capital markets do operate on a set of established rules and norms
This is extremely common and typically handled via tariffs. If China won't allow the USA to sell Product A in their country, then the US slaps a tariff on Product B that China sells in the US. The issue here is that with these kinds of online services, the user is the commodity being monetized, so there really isn't much of anything that a tariff can be placed on with TikTok that is direct enough.
Government just hasn't adapted fast enough to figure out how to regulate these newer technologies, so their default action is to ban it entirely.
The point is that this is done with every other type of commodity that exists (IE no one is allowed to import wool into our country, to protect our local production), so it seems reasonable to do it with online services as well.
What would you do if your local currency was down 250% (vs USD) over the last year?
Um, exactly what they've done? Blame outsiders and don't take any internal responsibility for your country's issues?
LLMs will make this sort of thing much, much easier. Use something like Google Translate to translate from Russian to English. Then run that output through ChatGPT asking it to format it like a well written major news outlet story, and there you go. That will clean up all the typical translation and grammatical errors that make it easy to spot these kinds of fake sites.
I can see at least one issue in this particular case. Some messaging platforms, like FB Messenger, will default the Send button to an emoji if no text has been typed into the outgoing message box. If it's someone you're in a relationship with (as determined by your FB status) it is a kiss. Otherwise it's typically a thumbs up. So what happens is when sending a message, if you inadvertently press send twice, the second time results in the emoji being sent.
When you type a word "Okay" or some other confirmation, it's pretty clear you didn't send it by accident. The UI for emojis is complex and easy to make mistakes or inadvertently send something you didn't intend to. So there may be a legal argument on those grounds still, which is an entirely different argument than the meaning of whatever emoji that was sent.
This is just a superficial fix to underlying problems in LLMs. If you have to engineer your question such a very specific manner that the AI produces a correct answer, then you're merely adding another layer of crap on top to try and patch your system to work correctly.
Imagine a company produces a math processor chip that always gets the operation 4 + 4 wrong and produces 7. So to fix that the UI on top converts 4 + 4 into 4 + 4 + 1 before feeding it to the processor. That's pretty much what prompt engineering is doing but in a vastly more complex, nebulous and often biased way.
Writable, which is billed as a time-saving tool for teachers, was purchased last month by education giant Houghton Mifflin Harcourt, whose materials are used in 90% of K-12 schools. Teachers use it to run students' essays through ChatGPT, then evaluate the AI-generated feedback and return it to the students.
A teacher gives the class a writing assignment -- say, "What I did over my summer vacation" -- and the students send in their work electronically. The teacher submits the essays to Writable, which in turn runs them through ChatGPT. ChatGPT offers comments and observations to the teacher, who is supposed to review and tweak them before sending the feedback to the students. Writable "tokenizes" students' information so that no personally identifying details are submitted to the AI program.
Taking into account the clarity, specificity, organization, engagement, and terminology of the text, I would assign it a grade of B.
The text effectively communicates the purpose of Writable as a time-saving tool for teachers and provides insight into its functionality with ChatGPT. It offers clear examples of how teachers use the tool and briefly mentions the privacy measures taken by Writable. However, there are areas where the text could be improved for clarity and engagement, such as providing more specific examples and explanations, smoothing transitions between points, and offering quotes or testimonials for added context. Additionally, the explanation of tokenization could be clearer for readers unfamiliar with the term. Overall, while the text effectively conveys its message, there is room for enhancement to elevate its quality and readability to a higher level.
Real Programmers don't eat quiche. They eat Twinkies and Szechwan food.
