I currently pay around $200-300 to a combination of Cursor + Anthropic through the API. I have both a full time job and freelance work. It pays for itself. I end up reviewing more than manual coding, to ensure the quality of the results. Funnily, the work I did through this method has received more praise than my usual work.
Did you outgrow the vase 500 searches that Cursor gives you per month and connect your API key for usage based pricing?
I’m having a hard time coming close to the 500 included in the monthly subscription and I use it like, a lot.
Just curious how you’re hitting that 200-300 mark unless you’re talking about paying Anthropic outside of cursor. Which I just now realized is probably the case.
It's still very easy to catch up on the latest trends and developments and what people are building and talking about. Even though most of us kinda hate it, it does have weight.
It's pretty easy to learn from others. At what cost? I'm not willing to give up privacy. Maybe if there were paid social media services where users aren't the product. I might buy something like that.
Hmm... so we need to also simulate climbing trees (for some bear markets) and playing dead (for other bear markets) as well as running away and punching the head of the bear.
While edge functions and durable objects are both excellent examples of technologies that could be built using wasmCloud, they are (assuming we’re talking about either a CDN provider like Cloudflare, Fastly, Akamai or Cloud providers like AWS, Azure, GCP) not readily available in many environments.
An example brooksmtownsend linked to elsewhere in the thread is an industrial use case where one of the wasmCloud adopters is shipping a device running wasmCloud (and thus their Wasm components) locally within an industrial site: https://wasmcloud.com/blog/2024-10-22-webassembly-adoption-t...
So from a deployment perspective, not being tied to the public cloud/internet availability in general is a huge benefit.
But beyond deployment, due to the way wasmCloud is designed with the concept of capability providers and components, you are able to write providers that can integrate with any other existing protocols, services, software or hardware to make them available for your WebAssembly components to talk to.
In essence, you use WIT (think Protocol Buffers, but for WebAssembly) to describe the interface you would like your components to be able to call, and then you fulfill the interface from the providers and code generate the “guest” (or client-side) of the calling code for your WebAssembly components.
This means that you are not locked-in to the services and API's of your edge function provider and your function is portable to any cloud or edge.
This is an abstraction on top of edge functions. So you do not have to tie into a provider like Cloudflare. At least that is suggested.
An orchestration engine like this will replace k8s one day. Kubernetes is great for enterprise development, but just too knowledge intense to get most out of it.
I think it starts to be interesting because wasm modules are so lightweight it opens interesting ways of orchestration.
Each node can easily have copy of every deployed module.
Having modules locally means you can skip network and just call functions in memory directly.
Startup time is also tiny.
Scaling by replication is so efficient that it becomes a whole new thing (on demand, extremely high upper limits, write easy serial code everywhere and scale it for concurrency).
etc.
The whole thing is lightweight and performant enough that it could as well be part of OS.
Looks like early days of the future and like people say has potential of dethroning docker.
K8s will probably eventually have first class support for wasm but it may not dovetail so much with their current setup.
If they don't keep up somebody else is going create wasm orchestration that takes advantage of that and this wasm-native orchestration seems to be doing just that.
Ie. this "link" type looks like wasm linking, it's a bit like dynamic linking of libraries for native apps.
I'm reading docs and barely following what actual mechanism is involved to enable any of the stuff they are selling. Am I correct in reading that this is like a modern version of the JVM with WASM in place of bytecode? So I can compile Python or Go or whatever into WASM and wasmcloud provides a portable runtime? So instead of packaging an entire containers worth of OS primitives, it's runtime with an API?
ie. wasm modules can be published and consumed to/from oci registries, which is nice
this linking is interesting also - ie. in docker you don't dynamically load other container to import functionality, but with wasm you can and because they're small you can architect your system around independent modules that use each other directly
they use nats for comms
and you can probably run your orchestrated system in browser - may sound silly but it's interesting capability as well
"Next Step" after Start Development Server doesn't work
Unsure what to do in Git workflow practice page, maybe some code didn't work for me? i can press "practice" or "visualisation" toggle but nothing happens
The AI mentor keeps saying "I understand you're interested in learning about that. Let me help you break it down and suggest some resources."
The whole thing feels like an incomplete placeholder? From your message, that's probably the intention to share it earlier, but people may expect more of it to be working...
I kinda get the idea though, could potentially lead somewhere, for example an actual onboarding step for a new role, or preparing for an entry level role before you start interviewing. The steps does give a hint to my experience as a SWE, at least.
And also how searchable it is. The great thing with blogs for me is that I can relatively quickly skip to the part where the information is that I want, because usually I don't need all of it.
Admittedly I do subscribe to a woodworking YouTube channel but I would love more written content for the reasons you describe about skipping and skimming.
Human consciousness is largely comprised of the perceptual inputs, combined with some internal deeper reflections, and some echoes of those reflections trigger the same or similar receptors to those that activate from the perceptual inputs.
We train AI to produce more of those perceptual inputs that we expect from sequences of virtualised actions, roughly matching what one would expect if those same instructions were provided to humans also.
If you look at a human mainly as a thing that does stuff when told, then there's not that much difference to AI. I'd argue that it's a very North American way of looking at humans.
I totally disagree. No one knows how consciousness works.
This is my same basis for completely disagreeing with the article:
"Rees: In my experience, this question is almost always grounded in a defensive impulse. A sometimes angry, sometimes anxious effort to hold on to or to re-inscribe the old distinctions. I think of it as a nostalgia for human exceptionalism, that is, a longing for a time when we humans thought there was only one form of intelligence, us."
This is just vacuous babel. To me it seems the defensive shoe is on the other foot.
All of this is making an assumption that "people" are operating under the guidance of some 17th century philosophy. Which is wrong. It also makes an assumption that anyone anywhere actually knows how intelligence works, or even what it is.
It's just kooky talk.
That fact is, the physiology of the brain, the integration with the endocrine system, and the whole distributed nervous system is so far more complex that a Von Newman computer, that to try to compare the two is just not well founded in reality.
Not one of the macro physiological subsystems mentioned above is even close to being understood. To say sequential instruction execution is performing a like function to human (or any organic) intelligence is completely ungrounded.
The description give in another article, also linked today on HN is much more hewn from reality:
"Artificial intelligence is an oxymoron, there's no such thing," Zelnick said. "Machine learning, machines don't learn. Those are convenient ways to explain to human beings what looks like magic. The bottom line is that these are digital tools and we've used digital tools forever. I have no doubt that what is considered AI today will help make our business more efficient and help us do better work"
It's a great tool, it'll find broad application. It's NOT intelligence, since, no one even knows what intelligence is, much less how it works...
Well, we have a rough understand of what the concept represents, at least, don't we? It's like saying "we don't know how quantum physics works so we cannot talk about particles or waves". We have to start from somewhere. We have to make assumptions. When they are cleared and resolved, we can be more confident with our words.
> That fact is, the physiology of the brain, the integration with the endocrine system, and the whole distributed nervous system is so far more complex that a Von Newman computer, that to try to compare the two is just not well founded in reality.
That's part of my point, too, btw. It's ambiguous on purpose, when I mention reflections and echoes, these can happen through a multitude of media, whether it may be neurons, hormones, quantum physics or the ether, whatever may be anyone's interpretation.
So, as a curiosity, I invoked an AI echo of Nietzsche to participate in a conversation, feeding it the article and my response.
Here's how it went
|| Nietzsche (claude 3.5 sonnet)
"Ah, this talk of consciousness and machines... interesting, but perhaps we're getting ahead of ourselves," Nietzsche might say, leaning back in his chair with a wry smile. "You know, it reminds me of how people used to think about the soul - always trying to pin it down, to define it neatly. But consciousness? It's not so simple, my friends."
He might take a sip of wine, then continue, "This idea of reducing it all to inputs and reflections - it's clever, I'll grant you that. But where's the struggle in that? Where's the will to power? Consciousness isn't just about processing information, it's about overcoming, about creating."
Chuckling softly, he might add, "And this American view of humans as instruction-followers - well, that's certainly a perspective. But is that really all we are? Seems a bit... how shall I put it... herdlike, doesn't it?"
"As for these AI creations of yours," he might muse, stroking his mustache, "they're fascinating, no doubt. But let's not get carried away. They're tools, not gods. The question is, how will we use them? Will they make us stronger, more creative? Or will they just make us more complacent?"
He might conclude with a challenging glint in his eye, "The real task, as I see it, is not to make machines more like us, but to use them to become more than we are. Now, that would be something worth pursuing, wouldn't it?"
|| my response:
"let's imagine that we do indeed create an AI god similar to the gods we invented, killed and invented again, as mighty, powerful, strong and wise as the mythological ones, and we somehow indeed succeed in this, what then?"
|| Nietzsche might pause, his eyes glinting with interest at your provocative question. After a moment of contemplation, he might respond:
"Ah, now we're venturing into dangerous and exciting territory! Creating an AI god, you say? How very human of us, to always seek something greater than ourselves to worship or fear," he might chuckle, shaking his head.
"But let's consider this seriously for a moment. If we were to create such an entity, as powerful and wise as our mythological gods, what then indeed? We'd be faced with a profound challenge to our very understanding of ourselves and our place in the world."
Leaning forward, he might continue, his voice lowering conspiratorially, "You see, we've spent millennia wrestling with the idea of gods, creating them, killing them, as you say. But an AI god? That would be something entirely new. It wouldn't be a projection of our hopes and fears like the old gods. It would be real, tangible, and potentially beyond our full comprehension."
"The danger," he might warn, "is that we'd be tempted to fall back into old patterns. We might worship it, fear it, or try to use it to enforce new forms of slave morality. That would be a tragedy, a step backwards in our evolution."
"But," he might add, his eyes lighting up, "there's also an opportunity here. If we could resist the urge to kneel before this creation, if we could instead see it as a challenge to ourselves, a call to become greater... well, that could be the push humanity needs to truly surpass itself."
"The key question is this: In the face of such an entity, would we still have the courage to proclaim that we too can be gods? Would we rise to the challenge of our own potential, or would we shrink back into comfortable subservience?"
Sitting back, he might conclude with a wry smile, "It's a fascinating thought experiment, my friend. But remember, the true test isn't in the creation of such an entity, but in how we choose to relate to it. That's where the real work of becoming 'human, all too human' truly begins."
This sounds nothing like Nietzsche, merely a bunch of keywords the average person thinks his philosophy is about. Which is why you shouldn’t rely on asking LLMs to impersonate a thinker.
Well, that's part of the point, it somewhat resembles the thoughts, which should be enough of a kindling to ignite the thoughts of anyone with experience or imagination.
Now, what do you think Nietzsche would really say? You seem to be familiar with his thinking.
1. He criticized the idea of the soul itself. Him saying that it's "difficult to define" makes no sense.
2. He was famously against alcohol, so him drinking a glass of wine makes no sense.
3. The will to power is a specific concept that he discusses in later works. It's not "the defining concept" as LLMs always seem to assume it is.
4. Ditto for overcoming, slave morality, and human all too human. Again, it is the LLM having a list of keywords and then assuming these keywords are indicative of the thinker. It is not using these words in any meaningful sense, or understanding what they mean.
It does this will pretty much all philosophers: assume their ideas are just the amalgamation of some vocabulary words on their Wikipedia page. Very rarely is that true.
5. He didn't say "we spent a millennia wrestling with the idea of gods, creating and killing them" and this makes no sense historically. The bulk of his philosophy is about the waning influence of Christianity and the vacuum of values this will present.
6. The characterization of him as this mustache-twirling, chuckling man is way off. But it is accurate to the "stereotype" in the public consciousness. By all accounts he was a quiet, polite person.
This is basically just a word salad using keywords from his works. Not much value here. It would be cool if such an app existed, but as of now, this response is not very insightful.
