skysight-inc/HackerNews huggingface dataset:
That's kind of exactly my point when I say they are not architects, just tools: I agree 100% that people project intent into these things, and I believe that's exactly what our "ex Google employee" is doing here - and it's dangerous.

It's dangerous in part exactly because it shifts the responsibility for the acts of the tool to the tool itself, and away from its author. Like deforestation was the machine's fault, not the fault of the humans driving them.

I can never agree with your affirmation that "AI is already the Architect". It is not, the AI does not design anything. It does not plan anything. It has no ideas, no critical thinking, no judgement of value or morals. The AI just does what it's told, like a tool, a worker ant, or any other algorithm. It's complicated enough that it's not obvious to us what it was told to do, but ultimately it's all it can do.
In addition to the other comment this type of memory is a feature in LLM frameworks like Langchain
That’s not really an answer to what I asked. What does grade level, as a term and metric, mean to you? Because in this context it means the median score on a standardized test. That it’s about 50% is structurally unsurprising.
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Apple seems to be as confused about the Mac Pro as we are
> Parents who are motivated to get their child a good education will move to places with good educational outcomes.

Yeah, well, it's a big jump going from free to $17,000/year

> how to improve low outcome schools to the point where they are an adequate substitute for a poor parent.

Give teachers a bonus for each student that achieves at grade level. Let the teachers figure out how to do it.
What you say is true, and also would be true for most of the Big Tech companies. Amazon and Google are also beneficiaries of massive government and pentagon contracts.
I'll need to see more details.
Yes, but... it's harder than one might think to avoid threads. Merely importing NumPy starts threads, for example.
This was the teardown video I was referencing, showing size of the modem at 3:45 mark: https://www.youtube.com/watch?t=225&v=DDV0_fDJZ40&feature=yo...
If one has to look up a formula, can we say that they have a good understanding of it? If one had to look up a multiplication table each time they calculated something, how far would they have gone in learning?
I really wish monitoring systems were more visible on the net.

I'd really like for the cellular system to have public monitoring. Knowing how healthy the spectrum is, knowing how much capacity is available and used... being able to see into the world about us, learn what's happening is the root of what made humans so great, in my view, and this is such a rich layer that we owe to ourselves to have visible, appreciateable.
I think there is a useful distinction here though -- you're by definition doing processing there on a "non-exactly-once delivery" system in order to get your "exactly-once" result, and by definition anything that requires exactly-once message delivery must do this process itself: it cannot abstracted away into a separate system.

So, in essence, you can never have "I will get this exactly once", and at best you can only ever have "I will have a plan for what to do if I get this more than once".
Show HN: Try out the new ChatGPT API on Promptly
Hey HN Community,

We're excited to announce the integration of the newly launched ChatGPT API into Promptly - a platform designed to make prompt management and sharing a breeze for developers.

With Promptly, you can easily test out different prompts and model parameters for various providers, and quickly share prompt snippets together with parameters and generated output. It's like CodePen or JSFiddle, but for prompts!

In addition to that, Promptly also allows you to create high-level endpoints on top of provider APIs (such as Open AI, DreamStudio, and more) with templated and versioned prompts. And with built-in caching for endpoints, you can save on Open AI costs and improve latency.

Today, we're thrilled to add the ChatGPT API to our platform. So head on over to Promptly and try it out for yourself! It's easy, intuitive, and completely free to use.

Check it out at https://trypromptly.com/

We can't wait to see what amazing prompts and endpoints you'll create with Promptly. Happy prompting!
I love Tailscale and think it would be great to have more competition in this space.

Personally I have gone through a lot of trouble setting up VPNs, for some strange reason AWS doesn't offer a fully integrated VPN product so I wound up running OpenVPN on a tiny VPS which should have cost less than $7 a month but the VPS was too small and went crazy swapping and ran up a $200 a month bill swapping on EBS.

I lately had a webapp that was running on my laptop. I built a very powerful home computer and moved the app to it and found that zero trust was a super easy approach to access this application from anywhere with my tablet or laptop. I did not need to fight with the firewall configuration, NAT, any of that. I used to be skeptical of "zero trust" but now I am a believer and hope more people experience the ease.
There is playgroundai.com and leonardo.ai. Nothing to download.
Add a time delay to the password reset feature, and notify all other devices that a password reset was attempted.
A 10000x performance gain could still be insignificant, see Amdahl's law.

That's why you need to understand bottlenecks in your system before going around and start optimizing things, as it could be pointless or even counter productive.
Yeah, it's really sad. I am going to be switching off of Linode after using it for many years happily.

I am considering trying to exclusively use Oracle Cloud's "always free" tier. They literally give away small VMs for hobbyists and I've had one around for a few years now. Reliability isn't as good as Linode (what do you expect for free?) but as a small timer/hobbyist I don't really care.

(as an aside, driving hobbyists away from your product to Oracle of all things is quite funny to me)
Per instance (worker serving an API request) it requires 8x GPUs. I believe they have thousands of these instances and they scale them up with load.

Because the model isn't dynamic (it doesn't learn) it is stateless and can be scaled elastically.
I have lots on USB-C, including Sony's WH-1000XM4 headphones, which I would recommend for staying on USB-C. :p

My micro USB devices are camera battery chargers and my Shure MV7.

And iPhone whatever the heck for Lightning, ugh.

So close to all USB-C! If I'm traveling with my camera it can be at least 3 separate cables still.
If an example would be helpful, OpenAI's tokenizer is publicly usable on their website:

https://platform.openai.com/tokenizer

You can drop sample text in there and visually see how it is split into tokens. The GPT2/3 tokenizer uses about 50k unique tokens that were learned to be an efficient representation of the training data.
Having spent many hundreds of hours in different Duolingo courses a few years back I can confidently day that I learned... Nothing. I speak three languages fluently and a few more at the basic level, so am not a language ignoramus - but Duolingo just doesn't teach anything.

Having been an early user, I can also say confidently that from the start Duolingo was just all about gamification and getting users 'hooked'. They had venture capital and needed to show growth numbers, so that was always the focus.

There are plenty of better ways to learn, but the downsides were usually that either you have to pay or you have to make an effort and handle your own learning path. Duolingo bet on being simple one-size-fits-all and is just a weird vocabulary practice that pretends to do grammar.

The basic question then is how much your lifetime is worth. If you now have to choose between bad repetition practice in Duolingo or e.g. an actual learning path like babbel I think the answer is easy. If you want free try Anki with a popular deck of sentences, not individual words.

If anyone is still using it I suggest at least to skip the app and use the web app instead (also on your phone), this allows you to avoid spending hours of your life seeing repetitive ads and animations, and gives some acces to basic grammar explanations that absolutely absurdly have never been available on the app. But best is really to just look for alternatives, streak be damned.
> then track those IDs in the receiver side

Now you need a database. Do you also need exactly-once delivery to the database? Now the service is no longer stateless too, which means scalability is a problem. Maybe you decide to make it just an in-process cache for de-duping, but that needs expiring and now the semantics are exactly-once within a given time period, and not across service restarts.

We can definitely solve this with higher level constructs, but they're not free, and they can introduce the same issues themselves.

> Isn't this basically what every "reliable" transport (TCP, HTTP3, message queues...) does?

TCP does this, to solve retries at the TCP layer. HTTP3 does this to solve issues at the HTTP3 layer. Message queues might solve this for the message queue, depends. But none of these solve the product level, or the user experience level, or other higher levels where these issues still crop up. They're issues you have to solve at every layer in some way.
Cool, but I need you should provide some tutorial/how to use it
A philosopher who believes in living things
Yes, he's technically correct. But it's pretty obvious he's really just jealous. Inferring that from his past behavior is not rocket science, as they say.
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So is OpenAI actually, GPT -> transformer, invented at Google. DALL-E -> diffusion, invented at ... Google.
> The idea is to stop 100W of power from being pushed down a cable

You don't push Watts. The load controls what it consumes. So long as the voltage is within the device limits it can control the current draw from its end of the cable. If a supply won't fulfill the requested current, the device makes do with less or disables functionality without damaging itself. This is how all USB devices are required to operate.
Dall-E is more likely to generate an image that to some degree contains what you asked for. It also tends to produce less attractive images and is closed so you can't really tune it much. People mostly don't try to do completely whole cloth text to image generation with stable diffusion, for anything involved they mostly do image to image with a sketch or photobashed source. With controlnet and a decently photobashed base image you can get pretty much anything you want, in pretty much any style you want, and it's fast.
He got richer so he must be bad.

How you can build a successful car company in the US without getting super rich, I don't know.
So what? Famously, Anna Karenina is about a woman who jumps in front of a train, why bother to read the other 863 pages.

Anti-Oedipus [1] and especially A Thousand Plateaus [2] is about living in rarefied, futural spaces. Deleuze would be the first to be disgusted even at the faintest idea that his writing has any meaning whatsoever: you want meaning? go and live your life, don't read a book, especially not a philosophy book. In What is Philosophy? [3], Deleuze and Guattari give a very straight and simple answer: "philosophy is the art of forming, inventing and fabricating concepts"—that's it, nothing more, nothing less. Why would you hurry to admire a concept, instead of doing it repeatedly, now, tomorrow, and tomorrow, and tomorrow [4]: do you also not smell a flower because its florid and anyway you could synthesize ionones [5] into a vial, why bother with the flower.

[1] https://en.wikipedia.org/wiki/Anti-Oedipus

[2] https://en.wikipedia.org/wiki/A_Thousand_Plateaus

[3] https://en.wikipedia.org/wiki/What_Is_Philosophy%3F_(Deleuze...

[4] https://www.poetryfoundation.org/poems/56964/speech-tomorrow...

[5] https://en.wikipedia.org/wiki/Ionone
I think the balance should be something like:

- most libraries going the “modern” route the author doesn’t like, because that’s what most people really need from a library

- some libraries keeping the “old school” approach for aesthetic and conservation reasons

- hopefully one or two “super preserver” libraries that are stockpiling and preserving books just to be an exhaustive source of in case e.g the collapse of civilization or the occasional importance of some physical copy to future researchers.

Does anyone know if #3 is happening?

I’m totally fine with this, it seems the only practical approach going forward. And I say this as someone who loves physical books and probably owns more than I’ll ever be able to read (over 10k at this point, I have a problem).
Assuming its open source, a recent HN post on this: https://reactflow.dev/blog/asking-for-money-for-open-source/
I hope the same! I do wonder though if ChatGPT+ is subsidizing the ChatGPT API cost here.
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"Don't but cheap junk" might be a great corporate policy, but it is not a viable or realistic consumer strategy.
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The article claims better buckling performance for spiral welded towers. How would spiral welding do that? Buckling is an elastic phenomenon, at least when it starts. Strength of welded material really wouldn't matter.
Using AI to find common patterns of what solutions Reddit users are looking for
No, tools are used by people to manipulate people. That's precisely the gist.
Here in CA we have spent billions of dollars on high speed rail over the past decade but the project just keeps getting delayed and the price tag keeps going up. If we could build these projects for merely 2x what it costs in other countries, we'd have affordable rail by now.
You can't exactly swap out the bootloader on Windows install media. You can on Linux because it's a modular component of the system, but on Windows the entire OS + kernel + bootloader is a single image.
Crazy that Nigeria's population is going to be like 500 million in a few decades. That's a lot of people.
It's also worth mentioning that, because Microsoft is an investor, they're likely getting these at cost or subsidized.

OpenAI doesn't have to make money right away. They can lose a small bit of money per API request in exchange for market share (preventing others from disrupting them).

As the cost of GPUs goes down, or they develop at ASIC or more efficient model, they can keep their pricing the same and then make money later.

They also likely can make money other ways like by allowing fine-tuning of the model or charging to let people use the model with sensitive data.
Polynesians made it to what is now Chile in the early 1300s. They left chickens there the bones were discovered in archaeological digs. Chickens are are native to SE Asia. And they took back sweet potatoes native to S. America which appeared in SE Asia a few decades later.
Location: Atlanta, GA

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Willing to relocate: open to discussing it

Technologies: Python, JavaScript/Node.js, SQL, HTML/CSS, Markdown, Linux, Git, Docker, AWS, GCP, Azure, Serverless, TensorFlow, PyTorch

Resume: www.linkedin.com/in/stephenilhardt (send email for file)

Email: sjilhardt@gmail.com
Is davinci actually worse than chatGPT? I know it's worse as an assistant, but in my (admittedly brief) testing the performance was the same or better for tasks like summarization, sentiment analysis, etc.

I guess it's irrelevant now because everyone will use the one which is 10x cheaper.
i wonder how many super ambitious people are just delusional about their motivations.
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Color isn't sufficient, IMO. There's way too many possible combinations of speed and power. It's not nearly as simple as USB 3.0.

They should just force every connector and cable to have a label on it that says the speed and power. Then, you'll always know for sure.
I have 20 years of expertise in roles involving programming, system engineering and closely related tasks. I can do backend, frontend, data, ops, networking, etc; I find every domain has interesting problems that can be tackled with generalist skills and a broad knowledge base.

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Despite how impressive the results are, there isn't a particular large moat to prevent competitors from entering the space.

I have to assume that the only place busier than an AI lab is the patent office.
Can it be taught to read serialized protobufs?
Will the permission to be remote continue for someone who is hired now? The only thing that stopped me from applying in the past is the requirement to relocate.
My parents never helped me with homework and I did fine cause I had great teachers. In think focusing on the home and “home work” is putting the emphasis on the wrong thing. We go to school to learn. That is where learning should be evaluated and focused.

Pushing this on parents and home life is naive, immoral and wrong.
While this is cool this doesn't change my opinion at all.

Each still image is still not that impressive. Good for them using the tech in a clever way but i don't find this that relevant.
Because idempotence can be very hard to achieve. You usually can't just write the message ID to a DB and ignore messages with a matching ID because if you crash while processing then you need to start over again. But you can't just write it at the end because then all of your processing steps need to be idempotent (so why are you bothering to write the ID?).

I've seen very few systems that have general idempotency baked in. Often it ends up being specific to the application. In some cases you can have simple solutions like upon crashing reload all of the state from an authoritative source. In some cases your messages result in simple idempotent operations such as "insert message with a unique ID" or "mark a message with a unique ID as read" but even then these are becoming quite related to business logic.

Basically idempotency is a powerful tool to create a solution but it is no silver bullet. That is why it is important to understand the underlying problem.
Does it have piles of human excrement like the real Venice beach?
This has been my experience as well (especially with Anki), though I've always felt like my ability to memorize information to be poor in general. In my experience, I find it easier to memorize things rather through brute force/frequent repetition. To use memorizing foreign language vocabulary as an example; repeating words to myself, listening, or writing them out for 30-60 minutes everyday or every few days (as opposed to spreading out fewer terms over, say, two weeks). The conjecture I have is that my brain commits to memory more heavily based on frequency/intensity during short intervals of time rather than long intervals of time, but it's just a guess.

Not sure if I'm just an outlier, but I think you're right that many learning heuristics aren't one-size-fits-all. Hope you can find something that's effective (and enjoyable) for you. :)