>Depending on the source of power charging an EV, it could take days or mere minutes to significantly charge a battery. EV charging stations are typically categorized as either level 2 or level 3; however, even an outlet at home will charge your EV (albeit rather slowly). You can expect a home outlet (sometimes called a level 1 charger) to take around 40 hours to fully charge a typical EV.
>
>Level 2 chargers decrease time significantly: Most can deliver about 15-25 miles of range per hour, meaning that most EVs can be charged either overnight or during a typical work day. These are a great option to have at work or home.
>
>Level 3 is where speed is really ramped up, and there is a wide range of power output for level 3 chargers. These chargers utilize direct current (DC) power and cost a lot more money than other charging stations, so they are typically implemented in public charging infrastructure. Some level 3 chargers can top up an empty battery in as little as 30 minutes. Many are already designed to output much more power than current EV batteries can receive, so the future looks bright for extremely short charging times.

Correct, DOTA bots played against humans, not with them as far as I know. This shows that AI can now play cooperative games along with and against human players at expert levels.

We are still learning a lot and improving things with CRISPR and mRNA tech, the real magic happens a little later this decade.

Very cool and very interesting. I highly recommend people take a look at this thread.

>A breakthrough in electric vehicle battery design has enabled a 10-minute charge time for a typical EV battery. The record-breaking combination of a shorter charge time and more energy acquired for longer travel range was announced today (Oct. 12) in the journal Nature.

https://singularityhub.com/2022/03/28/redesigned-crispr-gene-editing-tool-is-4000-times-less-error-prone/

Then the answer is yes, it has.

That would depend on what you mean.

CRISPR is continually making breakthroughs, posting all of them would mean posting almost every day with updates, which I am too lazy for.

>In a paper recently published in Nature Nanotechnology, Siegwart and his team developed a dual approach using LNPs equipped with tools that allow them to access and modify the tumor.4 The researchers packaged the LNPs with a CRISPR-Cas9 system that genetically modified and disrupted PD-L1 gene expression. PD-L1 overexpression inhibits T cell infiltration within the tumor microenvironment, so deactivating the gene allows immune cells to access the tumor. To grant the CRISPR system and immune cells tumor access, the LNP also included siRNA that targeted and reduced the expression of focal adhesion kinase (FAK), which diminished the density of the extracellular matrix surrounding the tumor.

>By packaging lipid nanoparticles with elements that decrease the fibrous nature of solid tumors, researchers can deliver CRISPR therapies in a more efficient manner.
>
>In a paper recently published in Nature Nanotechnology, Siegwart and his team developed a dual approach using LNPs equipped with tools that allow them to access and modify the tumor.4 The researchers packaged the LNPs with a CRISPR-Cas9 system that genetically modified and disrupted PD-L1 gene expression. PD-L1 overexpression inhibits T cell infiltration within the tumor microenvironment, so deactivating the gene allows immune cells to access the tumor. To grant the CRISPR system and immune cells tumor access, the LNP also included siRNA that targeted and reduced the expression of focal adhesion kinase (FAK), which diminished the density of the extracellular matrix surrounding the tumor.

This is really good news. One of the biggest challenges with mRNA and CRISPR therapies for cancer treatments is penetrating solid tumors.

I am only talking about modern industrialised countries.

You won't have to wait 100 years, more like 10-25.

This is the reason Nvidia has put 4x the number of AI cores in their newest GPUs, they believe as I do that all games in the near future will be simulations created with AI.

>On ImageNet 64x64 and CIFAR-10, our approach is able to generate images visually comparable to that of the original model using as few as 4 sampling steps, achieving FID/IS scores comparable to that of the original model while being up to 256 times faster to sample from.

Soon diffusion models will run on smartwatches.

Historically speaking protests don't really do much, violence in one way or another has always been a necessity.

Very impressive.

You will speak software into existence within 3 years.

I am honestly surprised anyone who does research into this subject would think otherwise. I am always open to hearing other's ideas on the subject though.

Personally, I place it within 2 years of 2027, so 2025-2029.