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There are research papers left and right.

Stuff like certain architectures, reading LLM for promoting multi modal llms.

Then we have stuff like insteuctgpt, ml models for robots, lots and lots of research from Nvidia for virtual simulation and transfer to real world, digital twin is also a relevant art in agi.

Object detection is also much better and has nothing to do with llms. Segment anything from FB for example.

Whisper and sd are also not LLM.

There are a ton of puzzle peaces slowly falling in place left and right.


They may not be "large" in the same sense that GPT4 is "large" but apart from then simulator stuff, every single one of the models you mentioned is transformer-based. Every one of them basically includes encoders to project different modes of information (images and audio) into a "language-like" space so that it can be compared with and mapped to and from text. I think it's fair to say that language models, if not LLMs, unlocked a surprising amount of power.


"There are a ton of puzzle peaces slowly falling in place left and right."

Yet, we do not seem to have a very good understanding of how many pieces there are in the puzzle.


True.

But I feel well entertained watching them fall. Like using them and experimenting around.

But it also shows the road ahead quite clear. For example were is the money coming from? From millions of people paying for GitHub copilot for example.

How is it sold? Per webui, API and cloud providers.

Digital twin will also play a huge role in this as a bridge between AGI <> real world.


I used it yesterday to generate a basic layout with image and input field based on tailwindcss.

Would have taken me much more time to figure it out than what chatgpt did at first try.


LLM are the first interface I as.a.software engineer is impressed by.

My company also got it immediately and is rolling it out globally.

GitHub copilot is already helpful. GitHub copilot for docs (announced at GitHub next) is a game changer.

I used openai to reformulate emails and suddenly got positive feedback about my announcement emails.

I communicate with openai German and English how ever I see fit.

It's very hard NOT to see it than the other way around.

And we got so far with only one company pushing this!

There is no option for the others to alsolo out tons of money into ai.

And besides openai, ai/ml is huge in what Nvidia and others are doing with it. Texture compression, 2d and 3d generation.

What we see is also potentially something like a new operating system.

And it makes it so much more accessible.

I never had a tool like llms which are able to take a bad copy pasta of a pdf and pulling out facts from it.


> I communicate with openai German and English how ever I see fit.

I did not foresee that you could mix input languages. That’s fascinating. Multilingual people use languages for different purposes, often in the same sentence. Ie: technical jargon in English, a joke in Arabic, etc.

I expect the difference in connotation/feeling/mood to be less relevant for an LLM, if you’re working with facts. But there was a recent post showing LLMs performing better when you said you were stressed/scared. Did you notice any such differences for your multi-lingual inputs?


No. I primarily switch when can't remember a word.

I also describe things and that also works quite well.


We pay so much more money to Microsoft I hardly think your argument is relevant at all.


Classy?

Let's just take the responsibility of yourself and transfer it to some magic place called 'someone else's problem' and you get the shit we have today.


Or someone playing around with an idea and by doing so showing us another interesting way of ai interaction.

But hey your negative and simple comment could also be true who knows.


There was one ATM in my big city and yes it's a great way to laundry money and after that they disappeared again


True but in comparison to every other value crypto is the only one which doesn't have any alternative use.

Gold, shares etc.

I believe the criticism is correct as the current driver of crypto is either a 'i put that much money in I'm not selling until it increases again' or gambled los.

After all the miners want to get paid.

But hey binance and others struggle let's see if there is a collapse soon


IMO the value is in the globally distributed, battle-tested secure/resilient payment network.


It's not.

The trust issue is real, china's great firewall is real and the crack down of sec is also real.

And without anyone exchanging your bitcoins no one cares.

And I'm comparison to our fiat a ton of critical features are missing like money laundering.


Indeed. Especially when it's clear that the rich crypto people got rich through others loosing it.

And when you played around with something the next and better version is already around the next corner!

I never seen something like this :)


The intermediate is either a trust system in the real world, escrow service at dark net drug pages or the miner.or the traider who traides your fiat to crypto.


lol, coinbase and binance are deca-billion dollar companies my guy


Coinbase is heading for bankruptcy and Binance is a criminal operation.

FTX was also a $32B company until it wasn’t.


you've got a money printer then - screenshot your short positions and I'll believe you ;)


I made a bit of money on Coinbase puts in the past two years. But they’re pretty expensive, so I don’t have a position now.

It’s not a money printer when everybody else also thinks it’s going down.


Good points, both that it's going down, and everybody knows it.


Lol, read the news, my dude:

Binance has let go 1000 people in summer and just again 100 in Sept.


So was FTX


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