swordsmanluke

I have both. I do not think the OLED version is twice as nice, though it is noticeably improved.

If the cost is an issue, but doable, consider getting the LCD deck and putting the extra cash toward a TV dock and Bluetooth controller. The deck is awesome on the go (just took mine on vacation - 10/10) but it's also a fantastic console in its own right. I play a lot of PC games on my couch, even though my I have a decent desktop PC available.

Either one you purchase though, the Steam deck is the best gaming device I've ever owned. Access to the vast Steam library (even if not all titles are compatible yet), access to install whatever else TF I want - even competing stores, ~~emulation~~ nevermind.

It's just... 🤯

I used to work summers as an apprentice electrician. The amount of crazy wiring I saw in old houses was (heh) shocking. Sometimes it was just that it was old. Real old houses sometimes just had bare wire wrapped in silk. ... And a few decades later that silk was frayed and crumbling in the walls and needed replacing.

My current house was wired at a time when copper was more precious, so it was wired up and down through the house, with circuits arranged by proximity, not necessarily logic. When a certain circuit in my house blows the breaker, my TV, PC and one wall of the master bedroom all lose power. The TV and PC are not in the same room either.

Just saying.

.... Saying what, exactly?

I said that we should

• design for change
• "within reason"
• because we can't know what exact changes are needed.

And you argued... The same thing? Just in the reverse order?

Have you ever been in an old house? Not old, like, on the Historic Register, well-preserved, rich bastard "old house". Just a house that has been around awhile. A place that has seen a lot of living.

You'll find light switches that don't connect to anything; artwork hiding holes in the walls; sometimes walls have been added or removed and the floors no longer match.

Any construction that gets used, must change as needs change. Be it a house or a city or a program, these evolutions of need inevitably introduce complexity and flaws that are large enough to annoy, but small enough to ignore. Over time those issues accumulate until they reach a crisis point. Houses get remodeled or torn down, cities build or remove highways, and programs get refactored or replaced.

You can and should design for change, within reason, because all successful programs will need to change in ways you cannot predict. But the fact that a system eventually becomes complex and flawed is not due to engineering failures - it is inherent in the nature of changing systems.

... And can you fix it?

That sounds amazing - OMW to check it out!

Oh, for sure. I focused on ML in college. My first job was actually coding self-driving vehicles for open-pit copper mining operations! (I taught gigantic earth tillers to execute 3-point turns.)

I'm not in that space anymore, but I do get how LLMs work. Philosophically, I'm inclined to believe that the statistical model encoded in an LLM does model a sort of intelligence. Certainly not consciousness - LLMs don't have any mechanism I'd accept as agency or any sort of internal "mind" state. But I also think that the common description of "supercharged autocorrect" is overreductive. Useful as rhetorical counter to the hype cycle, but just as misleading in its own way.

I've been playing with chatbots of varying complexity since the 1990s. LLMs are frankly a quantum leap forward. Even GPT-2 was pretty much useless compared to modern models.

All that said... All these models are trained on the best - but mostly worst - data the world has to offer... And if you average a handful of textbooks with an internet-full of self-confident blowhards (like me) - it's not too surprising that today's LLMs are all... kinda mid compared to an actual human.

But if you compare the performance of an LLM to the state of the art in natural language comprehension and response... It's not even close. Going from a suite of single-focus programs, each using keyword recognition and word stem-based parsing to guess what the user wants (Try asking Alexa to "Play 'Records' by Weezer" sometime - it can't because of the keyword collision), to a single program that can respond intelligibly to pretty much any statement, with a limited - but nonzero - chance of getting things right...

This tech is raw and not really production ready, but I'm using a few LLMs in different contexts as assistants... And they work great.

Even though LLMs are not a good replacement for actual human skill - they're fucking awesome. 😅

What I think is amazing about LLMs is that they are smart enough to be tricked. You can't talk your way around a password prompt. You either know the password or you don't.

But LLMs have enough of something intelligence-like that a moderately clever human can talk them into doing pretty much anything.

That's a wild advancement in artificial intelligence. Something that a human can trick, with nothing more than natural language!

Now... Whether you ought to hand control of your platform over to a mathematical average of internet dialog... That's another question.

In order to add their names to your dictionary. You don't have to allow it. But given that there's no internet access for the keyboard - it seems pretty safe

Lots of little quality of life things. For instance, in Kotlin types can be marked nullable or not. When you are passing a potential null into a non-nullable argument, the compiler raises an error.

But if you had already checked earlier in scope whether or not the value was null, the compiler remembers that the value is guaranteed not to be null and won't blow up.

Same for other typechecks. Once you have asserted that a value is a given type, you don't need to cast it everywhere else. The compiler will remember.

Kotlin is Java with all the suck taken out.

It's a modern, ergonomic language that runs on the JVM and removes as much GD boilerplate as it can.

It's fantastic.

That one dude still using Delphi is getting screwed.

Also, these salary numbers seem... real low. I get that it's the median so maybe a huge number of overseas engineers are pulling the results down but in my neck of the woods 105K is less than what we pay juniors.