I wonder how many are feasible to make. What’s the saying about Graphene, it can do everything but make it out of the lab? Hope this leads to great things being available for the masses.

!RemindMe 10 years.

I hope those things are all in production and available for the masses by then.

!RemindMe 17 years

I was a middle schooler in 2002, and it was pretty different. I remember collect calls since cell phones were just starting to proliferate with my classmates. VR aka Virtual Boy had flopped a couple of years earlier. DVDs will still a thing, and so was Blockbuster.

I remember my dad had to use map quest to take me to baseball games and I was listeneinf to music on my CD player while he was cussing because he missed his exit. Porn wasn’t free and you had to rely on playboy mags or wait a while for a single pic to download.

What’s funny is that 2012 to me was drastically different than 2002. But 2012 doesn’t really feel different than 2022. I mean I have an air fryer now, but I can’t really think of much that’s changed from then to now.

It’s no surprise they’re trying to make their own version of co-pilot.

Hold on to your papers fellas!

Bro, at least give a one sentence summary if you’re gonna post your YouTube videos. I’m all for giving you the clicks, but you have to give me something to work with.

“Patients who were on the course of treatment survived for 19.3 months compared to 16.5 months for the control group.

The long tail is more interesting where 13 percent of those treated survived for five years, while only 5.7 percent of the control group did. 331 patients were enrolled in the trial.

According to the results, there is still a long way to go.”

I’m stoked to see treatments make it into the clinical trials stage. Not that proof of concepts are meaningless, but there’s a gulf between proof of concept and the rubber meets the road stage of clinical trials. Hope this goes well!

Yeah, GPT3 is stuck in time. Hopefully newer models can continually improve and have better memory.

!RemindMe 5 years.

Glad to see treatments like this go into clinical trials. It’s one thing to have proof of concept. It’s a completely different ballgame to even make it to the clinical trials stage. Hope everything goes well.

Is there a link where we can use it? I couldn’t find anything in that website or Google.

> A month after treatment, five of the patients’ tumors were the same size as before, suggesting that the engineered cells may have had a stabilizing effect on their condition.

> The cancer continued to progress in the other 11 patients, but the patient given the highest dose of cells saw a short term improvement in their cancer — that could mean the treatment would be more effective in future studies if administered in higher doses.

> “We just need to hit it stronger the next time,” said Ribas.

Glad to see a rubber meets the road post. Hopefully we have more CRISPR trials as the years go on.

I don’t think those new VR headsets will impact the average person, but that’s just me.

So I don’t think much will change from 2022 to 2023, but I think a ton will change over the next two decades. I think 2023 will be like 2022 for the average person. We on /r/singularity might see more game changing developments in the lab, but still won’t be available for the average Joe.

So how much further have we gone since the moon landing?

If it bothers you so much, then use the block feature. It really is that simple.

If you’re upset about me making reminders, that’s on you.

Let’s see where this goes.

!RemindMe 5 years

Thank you so much for that breakdown

😎

So what are the implications of this? From what I could tell from the article, it looks like it trains LLMs faster.

>”The new machine-learning models we call 'CfC's' replace the differential equation defining the computation of the neuron with a closed form approximation, preserving the beautiful properties of liquid networks without the need for numerical integration," says MIT Professor Daniela Rus, director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) and senior author on the new paper. "CfC models are causal, compact, explainable, and efficient to train and predict. They open the way to trustworthy machine learning for safety-critical applications."

Cool, excited to see what comes after this.

!RemindMe 3 years

Nice. I’m excited to see how this plays out over the next decade.

I don’t think it’s made it into production yet. Here’s a list of the fastest supercomputers as of June 2022: https://www.weforum.org/agenda/2022/06/fastest-supercomputers-frontier-exascale/

Yep, there’s a lot of fluff when it comes to tech/AI unfortunately.