agarren
Randell’s got another (large) book on ARM assembly. He’s also got a handful of other great books on software engineering in general - he’s more than aware that “there are other 64-bit OSes, CPUs and assemblers for them, and people do use them.”
This particular title, “the art of assembly” has been around for a while. This x64 version is the latest iteration - it’s a great book compared to the previous version which introduced and focused on “high-level-assembly”, basically a collection of masm macros that effectively constituted a small language.
It’s fair to say that anyone even remotely interested on x86/64 assembly is aware of AoA.
My boomer parents and their friends are all staring to their phones wa-a-ay more often than I’d consider healthy. At least as much as my millenial/xennial friends.
Social media and attention stealing algos are addictive and unhealthy, regardless of the age group. If anything I’d say that gen-x is uniquely positioned - old enough to have experienced the world without the internet, young enough to see the consequences of it.
It sounds weird, but try writing your problem in LaTeX - I don’t know why, I’ve found a couple models to be incredibly capable at solving mathematical problems if you write them in LaTeX.
Beyond practical repairability and sustainability, I appreciate the possibility of swapping out a mainboard for another with a completely different arch
[0] https://frame.work/products/deep-computing-risc-v-mainboard
[1] https://store.deepcomputing.io/products/dc-roma-risc-v-mainb...
I kind of expect that from someone heading a company that appears to have sold-the-farm in an AI gamble. It’s interesting to see a similar viewpoint here (all biases considered)
Which ones, specifically? I’m genuinely curious. The ones about “[an] unfalsifiable disease-free utopia”? The one from a labor economist basically equating Amodei’s high-unemployment/strong economy claims to pure fantasy? The fact that nothing Amodei said was cited or is substantiated in any meaningful way? Maybe the one where she points out that Amodei is fundamentally a sales guy, and that Anthropic is making the rounds saying scary stuff just after they released a new model - a techbro marketing push?
I like anthropic. They make a great product. Shame about their CEO - just another techbro pumping his scheme.
The name might seem a little sketchy, but it’s a legit service. I don’t know about “free” - I’ve always ended up paying to file at least one of state or federal, I don’t recall, but not pricy.
(Edit - looking closer, I’ve been using them since 2007. Wow, time flies. Great service, no complaints.)
> … the woman first visited doctors with tremors and trouble balancing. As is often the case, once symptoms started, her condition rapidly worsened. She was hospitalized … and several days into her stay, she fell into a coma that she would never awaken from.
In other news, apparently hgh used to be extracted from cadavers. Wtlf.
My understanding is that context sensitive grammars _can_ allow for recursive structures that are beyond cfgs, which is precisely why they sit below csgs in terms of computational complexity.
I don’t agree or disagree that LLMs might be, or are, capable of parsing (i.e., perception in Chomsky’s terms, or, arguably, “understanding” in any sense). But that they can learn the grammar of a “complex cfg” isn’t a convincing argument for the reasons you indicate.
That just strikes me as an odd thing to say. I’m convinced that this is the dividing line between today’s software engineers and tomorrow’s AI engineers (in whatever form that takes - prompt, vibe, etc.) Reed’s statement feels very much like a justification of “if it compiles, ship it!”
> “It would be crazy if in an auto factory people were measuring to make sure every angle is correct,” he said, since machines now do the work. “It’s not as important as when it was group of ten people pounding out the metal.”
Except that the machines doing that work aren’t regularly hallucinating angles, spurious welding joints, etc.
https://techrights.org/n/2023/12/14/_Video_Lessons_to_be_Lea...
https://blog.cogitactive.com/website/gandi-outrageous-price/
It’s cheaper to move from one model to another than it is to train a general purpose model yourself (to say nothing of domain-specific smaller models or anything open source.)
I’m not sure about problems turning into black boxes, LLMs are pretty explicit in my experience when producing a solution (good or bad.) _How_ they came about that solution _is_ a black box, but that’s not a new problem.
Word. I’m not a huge Microsoft fan, but it feels like they’re just shoving ChatGPT/copilot down your throat every chance they get. It’s integrated into everything - it’s useful when it’s useful, okay, but it generally isn’t. It’s one more Microsoft’ism that you have to learn to tolerate or simply ignore.
I can’t tell if Nadella’s really betting the farm on it all, or if he’s just trying to leave his mark.
https://store.deepcomputing.io/products/dc-roma-ai-pc-risc-v...
I especially like the idea of getting a framework version in this case I want to swap in a different mainboard. By their own admission, the risc-v board is targeting developers and not ready for prime time. Also coming from the US, not sure how the tariff thing will workout…
By virtually every definition I can find, a monopoly is a an entity that functions as the sole, or effectively the primary, provider of a good or service in some market. That seems to perfectly describe Google’s position wrt web-based advertising. Do other ad-platforms exist? Absolutely. Do they exhibit the kind of market dominance or control that Google does? Nowhere close.
> Google has no power to stop them.
Fact? I’d argue that Google’s sheer size and dominance means they don’t need to stop them. Potential competitors simply don’t stand a chance given Google’s size, number of resources, and reach. Explain how that’s not a significant factor into Google “power to stop” a potential rival?
Boo Microsoft. Winget still sucks.
I read recently that Microsoft is adopting rust more and more. I think that’s a step in the right direction for an OS with such a huge marketshare. That said, I’m just waiting for Rust.Net or Managed Rust to get excreted in a thinly veiled attempt to split the community, steal mindshare, and take over the project.
Altman’s claimed LLMs will figure out climate change. Solid stuff.
I think you’re right, LLMs have demonstrated that relatively sophisticated mathematics involving billions of params and an internet full of training data is capable of some truly, truly, remarkable things. But as Penrose is saying, there are provable limits to computation. If we’re going to assume that intelligence as we experience it is computable, then Gödel’s theorem (and, frankly, the field of mathematics) seems to present a problem.
You’re arguing that we know artificial reasoning exists because we are capable of reasoning. This presupposes that reasoning is computable and that we ourselves reason by computation. But that’s exactly what Penrose is saying isn’t the case - you’re saying we’re walking Turing machines, we’re intelligent, so we must be able to effectively create copies of that intelligence. Penrose is saying that intelligence is poorly defined, that it requires consciousness which is poorly understood, and that we are not meat-based computers.
Your last question misses the point completely. “If we are something else, then out CoT won’t be computable…” it’s like you’re almost there but you can’t let go of “we are meat-machines, everything boils down to computation, we can cook up clones”. Except, “basic computability theory” says that’s not even wrong.