tren_hard

But wait, there’s more! Mark is also a big Dana White fan so now you also have Meta AI UFC Fighter Rankings

https://www.mmamania.com/ufc-mma-rankings/452601/ufc-finally...

In 2010, Turner joined Warren Buffett's and Bill Gates's The Giving Pledge, vowing to donate the majority of his fortune to charity upon his death.

Does The Giving Pledge still exist? Will this happen?

Maybe they can use the abundant oil for cooling as well :) that is how transformers are cooled

funny you say this, my meta swe friends have been talking about how many more loc they have been producing since they were given llms tens of thousands more. the thing i have found most interesting is how that seems to be the only metric that actually matters to them. just generating more and more.

Facebook and Oracle also build their own, at least before the last couple years where they’ve financed out to new bag holders.

I have no idea but this went out to all fed agencies from what I could tell looking at the subreddit for fed employees. I was surprised by the notice because my agency does not have a contract with them and obviously we can’t just use any LLM provider.

I work for a completely unrelated fed agency, who doesn’t use Anthropic products, and we all received the email stating we couldn’t use them period.

Due-diligence once again proving to be mostly cargo-culting.

Thank you I appreciate the reply and that analogy helps make sense of this.

I’m still learning this advantages and differences between them, would there be benefits to SFT and RAG? Or does RAG make SFT redundant?

Why wouldn’t an advanced AGI robot, trained on human behavior, not want their own house and mode of transportation? Sure it’s basically kayfabe for them to ‘want’ the stuff we do but if we’re following the script of who will buy all the stuff, then the answer will be the robots I guess.

You think housing market are tough now, wait until you’re competing with 5 robot families who all have jobs you used to do.

You can break it down by, new construction, planned renovations/improvements, and emergency repairs.

Not everyone works all three or wants to do more than one of these groups. There’s different levels of demand, pay, competition at each.

Instead of slapping on an extra battery pack, it will be an onboard llm model. Could have lifecycles just like phones.

Getting bigger (foldable) phones, without losing battery life, and running useable models in the same form-factor is a pretty big ask.

I could see a future integrated feature among cars brands doing this with their cameras. Teslas in your area on the road are already monitoring everything, then flag available street parking spots so autopilot cars looking for parking are dispatched to the nearest one. No need for drones if you already have a sufficiently large fleet of cars on the road.

Right as AI world models like Genie 3 are taking off too. Seems like a great fit for VR.

BO definitely does layoffs, and is run just as awfully as Amazon (look who the CEO of BO is as of 2024). Doesn’t matter if you’re in an office or on the manufacturing floor, the hours and demands are terrible there. Everyone I know that has worked there echoed the same problems that Amazon had.

On the last earnings call Zuck empathized how much revenue is being allocated to salaries and RSUs. I take those types of comments during earnings calls to be signals to investors that cuts will be coming to bring expenses down by the next quarter. How many rounds between earnings is speculation, but you know at at least one big one.

A friend who works in a growing division within Meta also said last week they are re-orging again.. this time flattening out everything and making first level SDMs go back to IC. It’s always been a cut throat final-stage capitalism place to work. Nothing they do should be surprising.

My company doesn’t enforce AI usage but for those who choose to use it, every month they highlight the biggest users. It’s always non-tech people who absolutely don’t understand how LLMs work and just run a single chat for as long as possible before our system cuts them off and forces them into a new chat context.