or maybe it is a bad thing, because right now the model is "throw it against the wall and see what sticks or how many billions we need to make it stick"?
Many things can be wrong, for many reasons. The problem is when people think LLMs make it wrong, instead of understanding that LLMs just expose the thing for what it was. It's like shooting the messenger just because the messenger is an LLM. That was my point, in case I worded it badly.
Wouldn't work: the copyright lawsuit against Anthropic ruled that while copyright infringement (AKA piracy) to get the training data for training an AI is still copyright infringement, actually doing the training once you have the data is not itself a copyright violation.
Simply making the code available, regardless of the licence, allows present and future AI to train on them.
In Vienna, where there is not a single automated check for public transport tickets (annual passes are analog plastic cards, one-way tickets are paper), there is consistently a less than ~2% fraud rate. So over 98% of users have a valid ticket at any time.
The City of Vienna has concluded that the cost of building such checkpoints combined with the reduced quality of service and the destruction of the city image could never be worth it. I wonder how other cities justify this without implicitly calling their denizens morally inferior to ours.
we're not talking about the hdd/ssd here, those are not really encryption but data packing and compression algorithms, they added encryption because it's a single instruction for extra talking points.
you use veracrypt which doesn't have any hardware attestation (convenience) features, but it does still leave you vulnerable to the same surface PIN+TPM is vulnerable to. the real defense is making it so opening your laptop/desktop physically fuses something via latch and wipes the key off your system requiring re-entry.
of course, who wants to own a laptop/desktop that you can't open we have enough of that with our phones.
Different countries use different definitions of what "small business" or "micro business" is. And people usually use their own local expectations they're used to. I'm not from the US and a company with 100 million revenue is far from a small business to me.
In EU where I'm from the micro/small/medium business sizes are tied to both employee count AND revenue. Micro is below 10 employees and below 2 million € revenue, Small is below 50 employees and below 10 million € revenue, Medium is below 250 employees and 50 million € revenue.
So if you had 100 million revenue you would be a large business even if you had less than ten people.
This is the key point, what is the meaning of "zero knowledge" here? It seems that you need to know something about the implementation, even if it is not the full implementation. Compare this to a zero knowledge proof that you have, say, a factorization gadget, which works by you running the gadget on adversarial input, thus convincing the adversary that you can factor any of their integers. That discloses no implementation details of your factorization gadget, which can be an efficient classical algorithm, a quantum computer, or a phone line to God.
Don't be embarrassed. Most don't see it, because the moral framing blocks economic analysis.
As for learning Hindi, it may help. But don't make the mistake of confusing cultural diversity with competence uniqueness. One expands the number or silos in the labor pool. The other justifies better pay.
These Twitter/X links are killing me, especially when they don't work with XCancel which seems to be happening more frequently. This one just gave me a summary by Grok, and I have no idea now if I'm seeing the same thing that others are commenting on.
But who knows. Their unified memory architecture across core types already puts them in a different design space. Maybe that design space leads them to further opportunities for memory architecture differentiation.
I could see them (1) taking the two processing chips that make up an Ultra in coming generations, (2) fabbed with logic on top, and power distributed on the back side, as Intel is going for, and (3) sandwiching the logic sides around a layer of unified RAM, with (4) massive optical linking distributed across the surfaces, resulting in (5) unbelievable bandwidths and parallelism we couldn't dream of today.
And then, (6) announcing it at WWDC 2029 and (7) taking my money 5 minutes after the midnight when pre-order's start.
RAM prices surging in the AI hype era does not mean they'll stay there for decades (see xAI already letting one data center go), and it would take a long time for Apple to become competitive.
Should they also start CPU fabs? Batteries? Lithium mines?
A fanless CPU needs more, lower-clocked cores to have the same multi-thread performance as an actively cooled CPU with fewer cores, and higher core count CPUs cost more. So you only get a fanless CPU if you either a) get a low multi-thread performance CPU or b) pay for a high-performance CPU and then get only medium performance out of it by running it fanless. Notice that even Apple's highest performance laptops have fans; fanless there isn't a thing.
But Apple's fanless machines do b) and then they just charge you the premium. There are a few fanless PC laptops that do the same thing, but most people don't want that, because they'd rather save a significant amount of money by getting the same performance out of a less expensive CPU with a fan.
Real question: If people are that good at grinding (it is a legit skill), why don't they go for something better, like a 4-year university degree in STEM or medicine? They can make much more money.
Also, how do they decide which students to pick? And I would love to know the gender ratio.
Americans love wars. They must fight wars either literally or figuratively. How are you not seeing this? When I'm sipping my coffee looking at mountains and contemplating chirping birds, they must fight, make billions and destroy the planet along the way.
