dalore

One could argue that the types are there in Javascript implicity, and TypeScript just brings them out.

You make the other side of the conversation the stopword. i.e. "Jill:" for Jack and Jill.

I did that but the trick to fix that was to use the other person's name and : prefix as the stop word. So in your case "Stella:". Then if it tries to continue the other side conversation it would just stop.

I also noticed this when browsing the demo village, some conversations it ran through and did both parts.

So like Battlestar Gallactica. Who is the cylon? The cylon might not even know they are not human until revealed to them later.

tok long yu trupela

I want to know how/where the word for plane came from? balus

But also remember the tok pisin is a recent language, created from the colonisation efforts so it's not strange to find that modern words will have a translatation. Helicopters and piano's were around at the time.

Crawlers and tools will get the right location http header but browsers and users will get the delay.

This is rubbish. We had a piano and it was never called that, neither were helicopters.

Tok pisin was my first language, left with the babysitter when growing up.

I asked it to translate a sentence into optE. Apparently that is something it knows about in training data

> Optimized English, or OptE, is a theoretical construct as of my last training data in September 2021 and doesn't have any widely accepted or standardized form. In the event that OptE is conceived after this period, I would not be able to provide a precise translation due to my training limitations.

I built pretty much the same thing for django for a private project. Html attributes to issue ajax requests and update doms. Coupled with middleware that would detect the requests and run the same django views but extract what was needed and make it an isomorphic app.

So we would get smaller but more movies, about real stuff and not generic stuff that can be mass marketed.

That way betterIBM can extract as much value out of crapIBM as they can.

IPv6 does away with NAT since there are so many IPs that everyone gets one without needing NAT.

But proxies will still group the users on the same IP.

I'm a bit confused, I'm hearing lots about long term consequences, but then I hear that most cases are asymptomatic. Can someone who is asymptomatic have really have long term consequences? If so, wouldn't they have symptoms?

Are you not now guilt-tripping people who guilt-trip other people?

> Doing it is evil and makes you evil.

Now if only the butcher did this.

At the start the only person trying to say it was a gompertz curve was Nobel Prize winner Professor Levitt. Everyone was using the Imperial College model which did say exponential growth and of which the governments around the world used to make policy. So to turn around and say now the models were unfounded is not useful as they were the models that were followed to make huge policy decisions. So it wasn't just people driving clicks, but governments making drastic changes to peoples lives based on these flawed models.

https://unherd.com/thepost/nobel-prize-winning-scientist-the...

Your maths fails in real life. Seems to be only 10-20% of anti body prevalence is needed for herd immunity due to t-cell protection that wasn't taken into account. The Diamond Princess cruise ship, perfect floating petri dish for experiements, bore this out. Same with London and New York, reach the herd immunity levels of 10-20% and died out.

Try this maths https://judithcurry.com/2020/05/10/why-herd-immunity-to-covi...

Yes, this confirms what a few people have been trying to say, that we do have some form of prior immunity, it's not a novel virus in that everyone is 100% susceptible, and that anti body tests won't show up prevalence. In addition means we need a lower rate for herd immunity, if we haven't already got it in some places like New York and London. So the models of exponential growth was unfounded and it follows more a natural gompertz curve.

You just ignored the science in front of you and assumed countries like Sweden was because of the lock downs. When the maths doesn't add up. I don't think you even read my comment nor the paper as I didn't mention cases but mortality. If lock down is a reactionary process to cases then the different types of lock down should change the mortality.

Sweden, New York and UK are easily explained if look at the age range and location of deaths. It was the reaction of sending sick patients out to care homes.

Bringing up Sweden, you just cherry picked only it's Nordic neighbours, but it compares quite well, and normal, with the other European countries. If you look at the previous flu seasons for the Nordic countries you will see that Sweden had a few years of very low deaths, whilst the countries you cherry picked had a few years of high death. So Sweden's care homes were packed with more vulnerable people.

Prisons also further support the t-cell theory. People in prison don't get enough sunlight and vitamin-D, reducing their t-cell immunity. Also they are heavily weighted towards minorities who are more susceptible.

And since coronovirus are quite seasonal usually, and t-cell response changes with season, it's why we are seeing different cycles for the northern hemisphere, the southern hemisphere and the equatorial regions. USA is a big country, the northern states got hit first and now the southern states are matching the regions like Mexico. USA is so big you need to treat each state like it's own region and not generalise.

Interesting you mention the Diamond Princess, it actually supports the "far-fetched" theory. And it's not as far fetched as you think, it's gaining more ground and does explain places like New York, London, Sweden, India etc.

https://www.spectator.co.uk/article/immunity-to-coronavirus-...

"In the accidental experiment of the Diamond Princess – a close community where the infection was allowed to spread unchecked for a fortnight in January, and everyone was eventually tested – only 17 per cent of passengers and crew became infected."

New York (and similar UK and Sweden) has a higher death rate since they moved sick patients into care homes and decimated them. As you said everywhere saw similar curves no matter how strict or lax a lock down they had. Implying something else is going on and not the lock down.

Studies looking at the impacts of lock down on the curve are showing very little correlational https://www.thelancet.com/journals/eclinm/article/PIIS2589-5...

“full lockdowns and wide-spread COVID19 testing were not associated with reductions in the number of critical cases or overall mortality.”

So, to me at least, it does seem far more plausible that t-cells are more a mitigating factor then lock downs.

If I am cherry picking, seems to be lots of cherry trees to pick from.

I see no reason why t-cell should not offer some protection, like it does with other coronaviruses. And why we would assume that everyone is just as susceptible when we know the risk profile varies wildly.

EDIT: for your explaining your edit of "Life Care Center in Kirkland", the reason they have more antibodies is that we all know the older you get the less t-cell protection you have. A "life care" center one assumes is full of old people, hence lower t-cell protection. And it explains why children have more protection as their t-cell protection is stronger.

It's not new, it's more evidence:

At the end of May, however, an immunological study by the University of Zurich was published, which for the first time showed that the usual antibody tests that measure antibodies in the blood (IgG and IgM) can detect at most about one fifth of all coronavirus infections.

https://www.biorxiv.org/content/10.1101/2020.05.21.108308v1

At the same time, the Swiss study may explain why children usually develop no symptoms (due to frequent contact with previous corona cold viruses), and why even hotspots such as New York City found an antibody prevalence (IgG/IgM) of at most 20% – as this already corresponds to herd immunity.

The Swiss study has in the meantime been confirmed by several more studies:

A Swedish study showed that people with mild or asymptomatic disease often neutralized the virus with T-cells without the need to produce antibodies. Overall, T-cell immunity was about twice as common as antibody immunity.

https://news.ki.se/immunity-to-covid-19-is-probably-higher-t...

A large Spanish antibody study published in Lancet showed that less than 20% of symptomatic people and about 2% of asymptomatic people had IgG antibodies.

https://www.thelancet.com/journals/lancet/article/PIIS0140-6...

A German study (preprint) showed that 81% of the people who had not yet had contact with the new corona virus already had cross-reactive T-cells and thus a certain background immunity (due to contact with previous corona cold viruses).

https://www.researchsquare.com/article/rs-35331/v1

A Chinese study in the journal Nature showed that in 40% of asymptomatic persons and in 12.9% of symptomatic persons no IgG antibodies are detectable after the recovery phase.

https://www.nature.com/articles/s41591-020-0965-6

Another Chinese study with almost 25,000 clinic employees in Wuhan showed that at most one fifth of the presumably infected employees had IgG antibodies (press article).

https://www.medrxiv.org/content/10.1101/2020.06.13.20130252v...

A small French study (preprint) showed that six of eight infected family members of Covid patients developed a temporary T-cell immunity without antibodies.

https://www.medrxiv.org/content/10.1101/2020.06.21.20132449v...

If you use leverage and take options you can put in 1k and get 200k back.

Another problem with the advice of eat less move more is that you are putting blame on the person. If they only tried harder they wouldn't be fat. No matter if they have tried really hard only to get told they aren't good enough. When really the whole game is stacked against them. Companies creating highly desired, but low in nutrition and satiety food. Cereals full of sugar being marketed as heart healthy. It's all stacked against them and the message needs to change.

You mean the ones he has done so far isn't achieving that already?

"Eat less, move more" is the advice professionals have been giving for years. This advice doesn't work though. Yes you have to do those things but telling people to do that in of itself is useless. There are strong biological/environmental factors at play working against that very advice. Having obesity isn't just some decision that people wake up and decide on.

The main advantage of the low-carb diet is that it may cause you to want to eat less. Even without counting calories, overweight people tend to eat fewer calories on low carb. Sugar and starch may increase your hunger, while avoiding them may decrease your appetite to a more manageable level. If your body wants to have an appropriate number of calories, you don’t need to bother counting them. Thus, calories count, but you don’t need to count them.

Paperspace has this with their Google integration. And I've implemented this pattern before in web dev.

You return to the site and if you have logged in with social media site before, and it detected you are still logged in, it will auto login for you.

You would only have to pay if you download more then you consume. If you contribute back to the network, equal resources you used then it is still "free".

It's not the heat but the UV exposure and people's ability to create vitamin D from it. People in countries that have "eternal summer" tend not to go out in the sun as it's hot. Also skin pigmentation is a big factor.

MS Money reborn in Excel. I remember having to migrate my accounts away from MS Money.

Methane isn't as bad or terrible as it's made out to be https://www.alltech.com/features-podcast-blog/frank-mitloehn...

And the measurements for beef in regard to climate change was a global average, using Brazil burning down Amazon forests. Unless you're eating that beef you can find beef that is carbon neutral or even a carbon sink. It uses up land we can't grow crops on and without meats we wouldn't have enough.