A relationship graph which requires no gay relationships is called a bigraph (honest, I’m not making this up) or bipartite.

That follows because if you can two color the graph so that edges only connect different colors, you just assign male to one color and female to the other.

This means there’s a tone of mathematical identities describing this. Wikipedia has a good introduction.

https://en.m.wikipedia.org/wiki/Bipartite_graph

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Although it’s federated nature is kinda dying.

If you’re not on one of the major providers good luck getting people to see your email.

It just says can be activated. Not “automatically activates”.

Kill switches are overly dramatic silliness. Anything with a power button has a kill switch. It sounds impressive but it’s just theatre.

The app phones home to access recipes.

Maybe it works without access to the server, but maybe it just refuses to do anything.

It’s all pure CEO bullshit though, and none of it is real.

It doesn’t cost money to send a Bluetooth signal from your phone to a sous vide. Maybe the WiFi server costs money but it’s their own fault for adding stupid functionality that phones home.

I’ve got one of these and I’m prepared to bet money that almost all of their server costs come down to every recipe in the app just being a link to a web page with lots of photos. https://recipes.anovaculinary.com/

(Swiss)Germans are completely mad about food.

It’s their culture to complain about everything, except food. All they care about is that it’s as bland as possible and has big portions. If you manage that, they’ll give you five stars every time.

I spent 3 years living in Germany, and not only can you not get anything spicy for love nor money, they also don’t use herbs. It just blows my mind. They’re physically so close to France and Italy, but the food is so far away.

One of the important things in many kinds of meditation is it’s not about stopping the bees, but noticing them.

I remember hearing about some Buddhist monk who was famed for his meditation. Someone asked him how long he could sit before his mind wandered “oh about seven seconds normally”. He just got very good at noticing when his mind wandered and trying again.

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Honestly, if you’re sharing office files you’re probably using office 365. This means everything is a web app first and therefore Linux compatible.

I tried using the desktop version of word on a Mac last week, and the latency was so bad on a shared document that I had to switch to the web app anyway.

Basically, if you just want to use Linux you’ll be fine. If instead you don’t want to use Microsoft, you’ll probably have lots of problems.

Microsoft have been brutally effective in getting their tentacles into academic institutes, and you’ll find that everything from email to logging into internal sites relies on an office 365 account.

No it doesn’t work.

But it’s better than not doing it.

People suspect who the author is but maybe you cited those papers because you’re afraid of getting the author to review them, or you’re a fan-boying grad student.

Nah, you’re forgetting how fucked the US is.

Citizen’s United mean it’s absolutely fine for billionaires to spend as much money as they like supporting geriatric fascists, providing they don’t ask the fascists how they’d like the money spent.

Providing Elon keeps going off half-cocked and making decisions on his own and isn’t following instructions from the trump campaign this is all perfectly legal.

And even if he is acting on orders, how could you ever prove it?

Yeah but they don’t use LLMs for this, they’ll use some other kind of machine learning mixed in a big pipeline of data processing. It makes it really hard to guess how much work it would take to fix. It might require retraining, might just require an easy patch of the rest of the pipeline.

My guess is that they’re just shitty jumpers and there’s nothing to fix anyway.

I’m at this point too. I think the next step is to just declare sock bankruptcy again and throw everything out and start over.

Unfortunately, this is bad statistics.

The Teslas in self driving mode tend to be used on main roads, and most accidents per mile happen on the small side streets. People are also much safer where Teslas are driven than the these statistics suggest.

Pi is predictable and deterministic.

Computer programs exist that can tell you what the next digit is. That means it’s deterministic, and running the program will give you a prediction for each digit (within the memory constraints of your computer).

The fact that it’s deterministic is exactly why pi is interesting. If it was random it would typically be much easier to prove properties about it’s digits.

No. 1011001110001111… (One 1, one 0, two 1s, two zeros…) Doesn’t contain repeating patterns. It also doesn’t contain any patterns with ‘2’ in it.

But pi is believed to be normal. https://en.m.wikipedia.org/wiki/Normal_number

So it should contain all finite patterns an infinite number of times.

Yeah, but a combination of this approach, and adding all compiled file types including .pyc to .gitignore would fix it.

I’m not describing binary classification, I’m describing multiclass. “Group classification” isn’t really a thing. Yes, your ml system probably guesses what kind of plant it is and then looks up the ediblity of components.

The problem with this is how they will handle rare plants that aren’t in the dataset, or that are in the dataset but with insufficient data to be recognised.

Because multiclass assumes that it’s seen representative data on all possible outputs (e.g. plant types) it will tend to be dangerously confident on plant types it hasn’t seen before.

This is because it can rule out other classes. E.g. if you’re trying to classify as rose, tulip, or daisy and you get a bramble, your classifier is likely to be very certain it’s a rose because tulips and daisies don’t have thorns. So your softmax score is likely to show heavy confidence in rose even though it’s actually none of them.

This is exactly what can go wrong when you try to use the softmax/standard multiclass approach and come across an interesting rare mushroom or wild carrot. You don’t want it to guess which type of plant in the database it’s most like, even if this guess comes with scores, you want it to say that it genuinely doesn’t know and you shouldn’t eat it.

The key issue here is that ‘level of certainty’ doesn’t really mean what you would like it to.

You get back a number yes, but it can change according to what’s visible in the background, the angle that the plants at, how close is it to the camera, and how nice the camera is you’re using (professional photographers use expensive cameras and take shots of different things to everyone else).

Interpreting this score as “how safe is it to eat the plant” is a really bad idea. You will still eat the wrong plant. These scores can lead to very confident random guessing when you show it a plant it’s never seen before.

And no, softmax is a trick for making the scores all sum to one, so you get back a confidence for every possible thing the image could be of.