Yes

. . . Yes . . .

Hoopla?

People ask me why I left America . . .

Only 1 option: Leave

You’ve been fortunate lol

I’ve been on walks in parks that got too close to someone’s nest and been charged. Those maniacs have serated tongues and beaks. I’m not kidding. You don’t want to be bit by these maniacs

https://a-z-animals.com/blog/goose-teeth-everything-you-need-to-know/

How dare you. I live for seasonal goose fly bys

“Error rate”. Denying claims is the purpose

There must be more profit than last year.

We’re witnessing gaming devour itself from the inside in pursuit of this impossible goal.

Buy indie

Yep. It’s a pretty weak excuse

What’s a Tankie?

EDIT: The range of definitions below is interesting

The next title has to generate more revenue than the last. Forever. Eternally.

Companies expect perpetual growth. No ceiling.

This has a breaking point that this meme captures pretty nicely :)

shocked Pikachu face

Who could have foreseen Israel lying?

Oh god. Please not another one

Therefore a good year for everyone

Praise Mother Theia!

I do it for a living and have given up being up to date on all the new shit going on. Billboard gets the W for now. LLMs cannot build houses in isolation.

What everyone is missing is that they don’t have to. The right LLM with the right question can output a meaningful “decision” or “judgment call”. That’s all you need. Ask the right series of questions. We’ll call it “thinking”. I really believe that well is pretty deep. Will it be the first version of “AI”? Maybe. Maybe not. But it’s gonna be a big milestone that is going to soon fuck up everything.

I can’t wait :)

Excellent point. Better bomb the whole neighborhood just to be sure

/s

Yep. AutoGen + MemGPT (+Locally hosted models) https://youtu.be/VJ6bK81meu8?si=mGnvMTJsLn_vMvRb

Basically, a small company of self-refining LLM prompts that output meaningful results + a robust memory management for more long-term back and forths. Instead of “one input, one output. Next”

Another example: https://youtu.be/5Zj_zstLLP4?si=nHu4vHwidRmvuViY

I can share more examples and papers if desired.

On the robotics front, the focus is still on training custom models for given actions. Which is having some success: https://youtu.be/Jy3zjXK4ao4?si=yFdqnl8z9Z8Becsc

https://youtu.be/WlIYa3lH5UI?si=FQSZAm44h3FuuCoR

I’m convinced these “hivemind agents” will pass custom model training soon

I take it you haven’t seen the recent advancements in both robotics and LLM powered agents