Comment For what? (Score 1) 71
To watch your dogs a wifi device is OK but if real security is a concern understand that home invasion gangs use ~10W wifi jammers as standard practice now.
Amcrest supports RTSP pull and SFTP push which is handy.
To watch your dogs a wifi device is OK but if real security is a concern understand that home invasion gangs use ~10W wifi jammers as standard practice now.
Amcrest supports RTSP pull and SFTP push which is handy.
Except part of the reason for the cold is because the warming atmosphere is messing with the air currents which normally keep the cold air north.
If you have a 5 gallon bucet of cold water and pour in a quart of hot water, that hot water will mix with the cold water causing currents until everything equalizes.
Same with the atmosphere.
The retraction note is all innuendo. It doesn't cure any actual wrongdoing, nor the actual basis of it's suspicions. just that "questions have been raised".
Meanwhile, studies that were quoted by grifters in the first true post-truth trial of Monsanto causing cancer were all ghostwritten by greenie hippies.
It's also not like it's the _only_ study of glyphosate safety. There have been 13 reliable mouse studies since 1984 ( https://pmc.ncbi.nlm.nih.gov/a... ), that found no effect on mice in any reasonable concentration. But now the anti-glyphosate grifters are going to glomp onto this study and pretend that nothing else exists.
Notice that it's Roundup *and its active ingredient glyphosate". But what else is in Roundup other than its active ingredient?
Surfactants. And you can buy pure glyphosate, actually. It's just not very convenient because it's an oily liquid that doesn't mix well with water.
If you're that stupid/lacking willpower/whatever that you immediately go off and buy something because you saw it online, you deserve what you get.
You're an adult, supposedly with something approaching intelligence and self-control. If you're $50K in debt because you're continually buying junk, the problem is not with the influencers.*
* They're called shills. Call them what they are.
I'll find out in mid January, lol - it's en route on the Ever Acme, with a transfer at Rotterdam.
That said, I have no reason to think that it won't be. Yasin isn't a well known brand, but a lot of other brands (for example Hatchbox) often use white-label Yasin as their own. And everything I've seen about their op looks quite professional.
Yeah, it's not even worth considering for something like 15-20kg. A full pallet in this case is 464kg
The current "AI" is a predictive engine.
And *you* are a predictive engine as well; prediction is where the error metric for learning comes from. (I removed the word "search" from both because neither work by "search". Neither you nor LLMs are databases)
It looks at something and analyzes what it thinks the result should be.
And that's not AI why?
AI is, and has always been, the field of tasks that are traditionally hard for computers but easy for humans. There is no question that these are a massive leap forward in AI, as it has always been defined.
It is absolutely crazy that we are all very very soon going to lose access to electricity
Calm down. Total AI power consumption (all forms of AL, both training and inference) for 2025 will be in the ballpark of 50-60TWh. Video gaming consumes about 350TWh/year, and growing. The world consumes ~25000 TWh/yr in electricity. And electricity is only 1/5th of global energy consumption.
AI datacentres are certainly a big deal to the local grid where they're located - in the same way that any major industry is a big deal where it's located. But "big at a local scale" is not the same thing as "big at a global scale." Just across the fjord from me there's an aluminum smelter that uses half a gigawatt of power. Such is industry.
That "ruler study" was ancient. It's mentioned in peer review at least as early as 2018, and might be even older.
Believe it or not, people in the field are familiar with these sorts of things that you just read about.
Most of these new AI tools have gained their new levels of performance by incorporating Transformers in some form or another, in part or in whole. Transformers is the backend of LLMs.
Even in cases where Transformers isn't used these days, often it's imitated. For example, the top leaderboards in vision models are a mix of ViTs (Vision Transformers) and hybrids (CNN + transformers), but there are still some "pure CNNs" that are high up. But the best performing "pure CNNs" these days use techniques modeled after what Transformers is doing, e.g. filtering data with an equivalent of attention and the like.
The simple fact is that what enabled LLMs is enabling most of this other stuff too.
Jevons Intensifies
"The Computer made me do it."