Romario77

It wasn't just incompatibility, it was some of the design decisions that made it very hard to make performant code that runs well on Itanium.

Intel made a bet on parallel processing and compilers figuring out how to organize instructions instead of doing this in silicone. It proved to be very hard to do, so the supposedly next gen processors turned out to be more expensive and slower than the last gen or new AMD ones.

They provide the answer in less words (while still conveying what needed to be said).

Which is a good thing in my book as the models now are way too verbose (and I suspect one of the reasons is the billing by tokens).

But the experiment compares MBA Ivy league students to the general population.

Yes, everyone looks after their own interests, but some more than others, like in this example the students above: > implement substantially more unequal earnings distributions than the average American

In the case the author presents there is one solution - last write wins. Which while simple to implement is not really satisfactory for many use cases.

Someone could write a whole slew of changes locally and someone else can eliminate all their work because they have an outdated copy locally and they made a simple update overriding the previous person's changes.

That's why git has merges and conflicts - it doesn't want to lose changes and it can't automatically figure out what should stay in case of a conflict.

in UK a huge amount of land belongs to a small percentage of people, crown and former nobility. 50% of the land belongs to 1% of the people.

US has similar laws that you talk about where you have to give easement or right of way.

Dead? Really? It's one of the most popular computer languages. And it constantly evolves and becomes better over time.

> for a scripting language there's nothing else that ticks the same boxes

I think Python ticks almost all the same boxes (and is much better designed in my opinion).

before stackoverflow there was expertsexchange.com and they were forced to add a hyphen to the name because people kept making fun of the expertSEXchange, it became experts-exchange.com

messages could be (and usually are) stored server side. Plus SMS is not secure at all and easy to eavesdrop on.

Anthropic enterprise share is pretty significant - on order of 30%. I think at this time it's pretty significant.

I am expecting AI companies to start using ads, it's inevitable as they need to make money at some point and $20 a month won't do it.

For ads the number of users is the main thing - the more users you have the bigger the market and more money you could earn. Google desperately needs to be in this space, that's why they are throwing a ton of money on AI.

I don't think it's the case if you take inflation into account.

You could see here: https://www.reddit.com/r/dataisbeautiful/comments/16dr1kb/oc...

new ones are generally cheaper if adjusted for inflation. This is a sale price, but assuming that margins stay the same it should reflect the manufacturing price. And from what I remember about apple earnings their margins increased over time, so it means the new phones are even cheaper. Which kind of makes sense.

current way the models works is that they don't have memory, it's included in training (or has to be provided as context).

So to keep up with times the models have to be constantly trained.

One thing though is that right now it's not just incremental training, the whole thing gets updated - multiple parameters and how the model is trained is different.

This might not be the case in the future where the training could become more efficient and switch to incremental updates where you don't have to re-feed all the training data but only the new things.

I am simplifying here for brevity, but I think the gist is still there.

It's just too bombastic for what it is - listing some equations with brief explanation and implementation.

If you don't know these things on some level already the post doesn't give you too much (far from 95%), it's a brief reference of some of the formulas used in machine learning/AI.

It was a significant progress, but I won't call it "nailed it". As there was an damage or explosion on re-entry where the skirt of the starship got damaged. And we could see pretty significant damage on one of the fins.

Nailing it would be without the things above.

it's not the center one, it's the side ones. Center seems to be a power supply.

because researchers from Kudelski Security most likely tried different static analysis tools and they didn't work the way Rubocop did.

They don't write the details of how they got to this particular tool - you could also see from the article they tried a different approach first.

I think often times it's enough to have enums for known ints, for example and have some parameter checking for ranges when known.

Some languages like C++ made a contracts concept where you could make these checks more formal.

As some people indicated the auto casting in many languages could make the implementation of these primitive based types complicated and fragile and provide more nuisance than it provides value.

I would have added some more things that you could have mitigated - like lowering your sail to half mast after the wind increase. Or only using the jib or even switching to engine power.

Which in the context of incident prevention translates into adapting to what is happening and maintaining the safety profile to prevent the incident.

Half mast sale - less force on the mast, more time to react to things when going solo.