IMTDb

The fact that they had to guess what the original author did is already an issue in itself. What we see here is that: 1. the original author did not sufficiently document their methodology and 2. when a best effort at reproducing the results is applied and we look deeper, we then discover that the results are wacky.

I am very interested in this, but it looks like the video link gives 404

Ask the COBOL guys

Emphasis on "feel"

The us could probably half it’s calories intake and be fine, if not better, from a public health perspective.

The average ribeye steak you serve in your barbecue joint can feed a family of 4 in war time.

> It would be just easier to not wage war by the way

Yeah, those pesky Ukrainians waging war for the pleasure of it.

Deepseek flash is open weight, this means we can download and run that model without any connection to deepseek, no data/tokens/usage data ever reaches them. They cannot make us their product.

Which government ? And based on the past few month, if your are thinking of the US governemnt; I can assure you that it is actively being harmful to me.

I have no love for SpaceX but at least I can take a subscription or invest and the stock and pretend that those satellites are beneficial to me.

There isn’t a single US government owned satellite that is not actively harmful to me at the moment.

Privacy and EU regulation are two very different things.

People smiling while using Siri and holding their phones 2 meters away from their faces looks genuinely disturbing and fake. We are at that point where I hope their next stream will be AI generated so it looks more natural.

Does it ? I can pause but I can't seem to go back. Clicking on the timeline does nothing. Clicking on the "live" indicator does nothing.

Anyone able to restart the stream if you missed the first few minutes or are we living in a world where AI will cure cancer but Apple can't build a "Watch live / Watch from start" button ?

What GP meant is that the CTO of a $1b company wold absolutely not fire someone for going Azure because at those scale it's very likely they have a set of customers that exclusively want to work on Azure, so that choice makes sense.

It's easy to do blanket statements like "never choose azure", "avoid GCP at all cost" or "never again on AWS". Until real world comes your way and you are forced to deal with it.

That being said: I'd fire anyone choosing to deploy a workload on GCP.

> They don't want you to have access to frontier models. And you will not have it. See Mythos as Exibit A.

"They" fully well know that they current frontier model are maybe 6 month ahead of what people will have access to without their control. See Deepseek as Exibit B

The reason you can't run these locally are more with the fact that those mythos sized models require extreme amount of memory and processing power to run at acceptable speeds. And neither you, nor I can afford to pay for those resources to run those models locally. A big reason is that "running locally" means running on your own hardware. And for almost everyone this means "running on hardware that will spent a big portion of its time just sleeping". Because data center and providers have higher utilization rates, they can easily outpace you. That and the fact that when they place an order it's usually for hundreds of thousands of units.