skysight-inc/HackerNews huggingface dataset:
Creating a simple SaaS and library for doing blocking scheduling. “Find me the next open hour for Y” - sort of like calendly but for developers with a really easy/neat callback mechanism.

I’m building it because I’m tired of being oncall for lousy delay queues, which seem to always be built in house with no docs or tests. I think I’ve seen it homebrewed at least 6 times now.

It’s the smallest possible idea I could see myself getting across the line while on paternity leave. I guess project number #1 is baby boy #2!
Don't conflate class with quality. Chain restaurants serve mass-produced, low quality fare. They have to.
Good luck getting that to work consistently on LI.
http://i1.kym-cdn.com/photos/images/facebook/000/427/569/bfa...
I guess it isn’t that surprising given the path the development took, but it is always funny to me that one of the most reputable consumer tech companies is a photography place.
What if it's just a bunch of humans copying pasting stuffs? Doesn't seem to require a lot of replies so far.
That is the part of the article that is most relevant to Hacker News, however. It would make sense to highlight it.
Location: SLC, Utah, USA

Remote: Yes

Willing to relocate: Yes

Technologies: Clojure, ClojureScript, React, Java, Python, CircleCi, PostgreSQL, Typescript, Angular, GraphQL

Resume: https://drive.google.com/file/d/19hyGI1r9x0oYXPCL0FXh2gDEEVl...

Email: austin+yjobs@finlinson.net
Or it could be a signal that Greenwald cannot be trusted.

It could also be both.

I'm not here to take a position either way, but the existence of a conflict between former allies does not tell you which side of the conflict has changed.
Their "People love our replies" section shows a bunch of RandomWord-1234 accounts giving positive feedback. I wonder if those are included with the service.
So that’s why the Butlerian Jihad started. Now we know, thanks.
I feel like there's a lot of knowledge or information that we're "leaving on the plate". For instance, the sites we visit, the files we edit, the branches and PRs we create, etc etc. All of that is related, but it feels like that context is being lost or discarded.

An example might be: I have to include new AWS resources in a deployment, so I look up information about them, find examples and read about potential problems, security information, etc etc. That then becomes edits in a terraform file somewhere, with a Jita ticket, my own knowledge database (Emacs org-roam files in my case, Obsidian etc for other people). Then the feature branch gets a PR to dev, we might discuss changes in Teams (ugh) or a meeting. All of that seems ripe to be linked together conceptually, but the computer has no way to do that.

It makes me wonder if that could be fed into the right machine learning thing to at least start tracking this sort of work stuff. Heck just synchronizing my Firefox bookmarks (ff lets you tag your bookmarks) with my org-roam instance's tags would be useful. Tagged files in my knowledge base could be automatically linked to similarly tagged bookmarks.
Does this break the OpenAI terms of service? Or whatever other API they query?
What world do you live in where Olive Garden is attacked for its food quality more than McDonalds
Hey everyone! I'm the CEO of the company that built this SDK.

We're a company called E2B [0]. We're building and open-source [1] secure environments for running untrusted AI-generated code and AI agents. We call these environments sandboxes and they are built on top of micro VM called Firecracker [2]. We specifically decided to use Firecrackers instead of containers because of their security and ability to do snapshots.

You can think of us as giving small cloud computers to LLMs.

We recently created a dedicated SDK for building custom code interpreters in Python or JS/TS. We saw this need after a lot of our users have been adding code execution capabilities to their AI apps with our core SDK [3]. These use cases were often centered around AI data analysis so code interpreter-like behavior made sense

The way our code interpret SDK works is by spawning an E2B sandbox with Jupyter Server. We then communicate with this Jupyter server through Jupyter Kernel messaging protocol [4]. We work with an LLM and AI framework. We have different examples on how to use the SDK with Llama models, Anthropic models, LangChain, LangGraph, and more in our cookbook [5].

We don't do any wrapping around LLM, any prompting, or any agent-like framework. We leave all of that to our users. We're really just a boring code execution layer that sits at the bottom. We're building for the future software that will be building another software.

Our long-term plan is to build an automated AWS for AI apps and agents where AI can build and deploy its own software while giving developers powerful observability into what's happening inside our sandboxes. With everything being open-source.

Happy to answer any questions and hear feedback!

[0] https://e2b.dev

[1] https://github.com/e2b-dev

[2] https://github.com/firecracker-microvm/firecracker

[3] https://e2b.dev/docs

[4] https://jupyter-client.readthedocs.io/en/latest/messaging.ht...

[5] https://github.com/e2b-dev/e2b-cookbook
Location: London

Remote: Happy to work fully in person although hybrid is preferred.

Willing to relocate: For the right role

Technologies: Machine Learning (Computer Vision, NLP etc), Data Science, Python, Kubernetes

Resume: https://raw.githubusercontent.com/bclarkson-code/bclarkson-c...

Linkedin: https://www.linkedin.com/in/benedict-clarkson-779b43154/

Email: bclarkson-code@proton.me

I'm a Senior Machine Learning Engineer looking for my next challenge. I have a strong background in Deep Learning: I built a state of the art CV model for cancer detection and I'm the author of the Tricycle (https://github.com/bclarkson-code/Tricycle) deep learning framework. I built it from scratch (nothing but python, numpy and a bit of cuda) and recently used it to successfully build and train a small language model.

I'm looking for an AI Engineer role in london
This seems to be a much better application of a gene therapy shot of this kind that has such a small targeted scope. A virus that mutates would clearly be an exercise in playing constant catch-up, but this seems a lot more realistic.

Is there anything that works to replace the delivery system that's more reliable/predictable than the lipid-based carriers?
In 250 million years, whatever is around by then, if things are left alone. Hominids has been around 5M years, mankind 200k years, civilization 10-20k years, and global civilization less than 200 years.

And in the last 100 years we changed enough the planet to start changing it into an hostile environment for mankind and civilization. I don't know if we will be around in 100 years and in what conditions, because what we are doing with climate and the irresponsible way that we handle the power we achieved (nuclear, technology, internet, etc) may be a threat for us. They may as well warn us about the dangers of the Sun turning into a red giant for what it will affect mankind.
Apple changes how the core technology fee works
> Do you have any doubts that unionizing will greatly accelerate this natural process?

Nope, quite the opposite actually: with strong unions a big company cannot move work piecemeal (as the Union would strike back to block that in a way that makes small moves unprofitable for the company) and moving the whole company at once is impractical so they are stuck. Without unions, the company can work at their own pace till the last employee. In a class war, like in all war, you either unite or perish divided.

> The race to big wage can be honestly won with only one method

That's a convoluted way to day it cannot be won.

But the reality is that it can in fact be won, of collective action of citizens put enough pressure (through laws) on companies to prevent them from seeking profit at the expense of the society they live in. That's how it always work, and when there's no organized political action against big corps, the people are always losing.

Unions and state intervention are how the US people (and Europeans too) reached prosperity after WWII, and there's no way around that. Laissez faire only make a handful of winners at the expense of everybody else.
I'm sure some entrepreneurs would want that to sell products.
This is a case where LLMs and similar generative approaches are outright dangerous and damaging. Not so much immediately but in that they erode trust in machine assisted diagnosis or treatment and set back adoption of things that could actually work substantially.

Namely tools like expert systems which are uniquely suited for the application can easily be confused with the current batch of "AI" despite being much more sane and useful.
why?

Is Microsoft going to pay 20B to put Bing there? Would Apple users accept that? (probably, they accept every other abuse). Is Apple going to set the default to something else for free?
Comprehensive Analysis of Design Patterns for REST API SDKs
There's already a few 'this is a bad thing to exist on the Internet' comments, so I'll say something else.

The four example comments feel a bit off, because while they are tailored to the informational context, they don't fit into the conversational context. They all start off with an introductory sentence that restates contextual information that's already present in the discussion thread.

> To launch the chrome browser when you click the text, ...

If you're reading the comments, you already know what question this is an answer to - wasting people's time with this high school essay nonsense is going to trip bullshit-o-meters.

> Ireland, like any other country, has its fair share of crime ...

No one starts a Reddit comment with this sort of equivocation unless they're trying to head off an anticipated downvote storm. Generic travel safety advice certainly doesn't need this.

> It's understandable that you're feeling anxious and overwhelmed with the debt and job loss.

This one does a lot of waffling, which people don't really do on Reddit unless they're talking about something they're passionate about. Just give the useful advice and move on.

Overall, they have a lot of the padding-the-word-count style that characterises LLMs that were trained on blogspam. Redditors tend to be both more direct and more personal in their writing styles. The LLM isn't so bad that it'll be immediately identified as AI, but it will come off as subtly ingenuine.
I had the dubious luck to work for a company that got acquired by private equity. The company was resold for double the price it was valued when the private equity injected capital after 3 years. But during those 3 years, they lowered the quality, increased the quantity of product sold and now, no customers are excited by their product anymore.
Edit: Apparently this was an update to https://news.mit.edu/2023/surprising-finding-light-makes-wat... which was discussed here https://news.ycombinator.com/item?id=38117556
Ukraine inherited military doctrine and infrastructure from the Soviet Union just like Russia so while the US has a much bigger industrial capacity, it’s only setup to produce equipment for US/NATO military doctrine and infrastructure. The US uses lots of precision munitions and air support instead of artillery, which is where Ukraine is struggling the most.

Lots of equipment that can be used at the infantry level without much support works great like those anti-tank missile, but anything that requires a large logistics pipeline is largely off the table. For example Ukraine hasn’t even put the F16s it has received in the air yet because they’ve been training pilots and maintenance crews. It’s just not set up to fight a war the American way whereas Russia has a large industry manufacturing artillery shells to fall back on.
I buy most, but not all, of my tech at B&H and have now for more than a decade. Especially peripherals.
Alternative title:

Wealthy individual gets to retire early while you, the proletariat, get to suffer under the 9-5 thumb, crushed by the system the wealthy created. Enjoy, suckers!
If you like this kind of stuff, you should listen to Peter Pringle singing the Epic of Gilgamesh while playing a reconstructed oud.

While the melodies/rhythms he uses are his creation, the words are from the epic itself which was itself 2000 years old by the time of Ancient Greece.

https://youtu.be/QUcTsFe1PVs?si=VvXGMhmoNwtz67Ld
I would think JS pays most of their employees well enough that the buy in can be waived, or as part of total comp that vests over some years.
I believe those are the default Reddit usernames (if you don’t manually pick one when signing up, you get one like that).
I don't think that's the right way to think about LLM logits. Fundamentally the logits represent probability of similarity with the text it's been trained on, given the current prefix. Mixed in with any correspondence with truth is not only tone, phrasing, dialect, language syntax, but also stuff like the likelihood that specific details are related to general concepts. Even if we're talking about a person with three legs, or a horse riding a man, it'll be hard for the LLM to not assign a fairly high probability to sentences that describe two legs, or a man riding the horse and not the other way around.
It's always sad to watch a wildly profitable company that thinks it's still too poor to refrain from engaging in the worst kinds of bottom-feeding behaviour. Daddy issues maybe?

The true measure of success and character is not the money you're making but the actions you take to protect your reputation by passing up on opportunities to behave like a common or garden-variety street crook.

Society has a long memory and the last of your filthy lucre will be long gone before anyone's gonna give you the time of day again.
1 point by AnimalMuppet on Dec 3, 2022 | parent | context | un‑favorite | on: The Truth Matters and Secular Humanists Should Def...

To some degree. (Warning: long rant follows.)
I define "the scientific method" as a process with four steps. 1: Systematic observation. 2: Looking for regularities in the observations. 3: Forming hypotheses to explain the regularities. 4: Experimentally testing the hypotheses.

(This isn't just me. Wikipedia describes the scientific method very similarly. This isn't me trying to cook the definition to make a point.)

Now assume, for purposes of argument, that God exists. And since lots of people use the word "God" to mean lots of different things, I'm going to define what I mean. By "God" I mean a being with personality - someone, not just something. Someone who existed before the physical universe, and exists independently of it - "outside" it in some sense, though I don't mean in a geometric way. Someone who created the physical universe, and who can, at his sole discretion, reach into the physical universe and change things. (You can think of this kind of like using a debugger - you can stop the program and change the value of a variable, with no antecedent in the flow of execution of the program.) And if and when he does, things actually change - it's not just a change in our perception; things actually physically change.

All this I ask you to assume for the sake of this argument. You don't have to believe it, but it's there for the argument to make sense.

And one more assumption: Assume that this God actually does change something, and that science observes it at step 1. The question is, what's science going to do with it?

They're going to throw it out at step 2, because there is no regularity. There's no pattern, unless God does this a lot.

But if they don't throw it out at step 2, the next problem comes at step 3 - forming a hypothesis. The way science currently is, "God" is very much out of favor as a hypothesis. But in our thought experiment, God actually is the explanation. Science is never going to propose the correct explanation for such an event.

But even if science proposes God as the hypothesis at step 3, the next problem comes at step 4: how are you going to test it? "Um, God, could you do that again? And, um, sign it this time?" You can't run the experiment. I don't see how you could run the experiment even in principle.

So in that sense, the supernatural exists outside of science. This doesn't tell us anything about the supernatural; it merely tells us that science is not a useful tool for examining it.
What's stopping them from just running the company outside the FTC's jurisdiction? It's not like the U.S. is the only place with internet access.
Food is not a luxury. Defining things necessary for continued existence as luxuries is ridiculously reductive and is why defining jobs as “voluntary” in a world where access to those things is gated by having a job for most people is disingenuous.

Taking job A over job B could be described as voluntary but saying that you could just be homeless and scrounge food, especially in locations where the local government makes this illegal, so working is voluntary is just wrong
This idea is interesting. It’s nothing new; there are already people hired to plug their tools or respond to complaints, even here on HN. This could make a “community manager” a lot more affordable. For business that is nice.

As a user I fear the future, but I don’t see it as much different from a human doing the same thing. It will just get a lot more common.
I dunno man, they managed to mostly stay up during times of extreme growth, and were able to scale their graph stuff (people you may know etc) in a way that competing companies (i.e. Friendster) couldn't.

The domain probably isn't that complicated, but the infrastructure certainly was (and this was all pre-cloud so they built it themselves).

But yeah, FB's success came from a base level of keeping the site up and incredibly good tactics to drive growth and distribution.
1. You can do it better, with better taste. Existing tools are... not uniformly well-designed.

2. Building something for yourself is qualitatively different than building something for somebody else. (I've heard this described as "situated software"[1].) Both the results and the process are different.

3. Building something yourself lets you become an expert in the domain and the tool you're building, often faster and deeper than using somebody else's system. It's a way to build up tacit knowledge and institutional capital as much as (or even more than) software.

4. More often than people realize, building something yourself ends up simply faster than first learning and then wrestling an existing tool into the exact shape you need. I've seen a lot of teams waste way more time trying to get some existing thing working than they would have spent building their own thing.

Obviously it isn't always true that building your own version of something makes sense, and nobody is going to be building everything from scratch... but it makes sense far more often than conventional wisdom dictates.

[1]: Term originally coined by Clay Shirky, but I can't find the original essay online, but looks like Gwern hosts a copy: https://gwern.net/doc/technology/2004-03-30-shirky-situateds...
Wild orangutan seen healing his wound with a plant
I was curious, 300 minority languages are spoken in China, spread across 55 minority ethnic groups https://en.wikipedia.org/wiki/Languages_of_China
> that will directly make my own, personal life worse.

Have you considered doing things that will make your life better? I use ReplyGuy to save myself like 30-60 hours monthly on each of my projects and it has made my life better.
OP posted elsewhere that he's not affiliated, FYI
> , it needed the HipHop VM[0] to make it scalable beyond PHP.

Also, it goes Php -> HipHop (compile PHP to C++) -> HHVM (compile PHP to a virtual machine running ASM).
That is funny, though this is more tracking-by-users than tracking-of-users
Don't worry, no matter how good hardware gets, you can rest assured bad software will push it to the limits and further push the minimum system requirements to run anything as basic as a note taking app or music player.

https://en.wikipedia.org/wiki/Andy_and_Bill%27s_law
> It forces an understanding of fundamentals.

I don't have a dog in this fight as I haven't learned Rust. This statement, though, came off as ridiculous.

I've worked as a C++ developer. Most of my peers didn't understand the "fundamentals". They didn't know a map was implemented as a binary tree, for example. They didn't understand struct packing. The list goes on an on.

C++ allows for quite a bit of abstraction letting people be quite productive without understanding much about the machine. People look up the API in the standard library and they just use it like they would any other language.

That was, after all, one of the selling points of C++ over C.
Mechanical turks aren’t news.
Yeah sure, but naively I'd still assume "tips for pizza delivery people" would be a much better indicator as it would be a much broader target audience.

Then again, maybe it's too mundane again and with the tipping culture (as far as I have heard about it) there is much less spread in tips than where I live.
> First, no CTF is required if a developer has no revenue whatsoever.

Good to know they can at least see that regulatory train coming down the tracks.
But today disk space is not an issue.
Any features that matter to consumers more than slightly better battery life? I haven't seen one yet despite people always touting "better features".

It feels to me like JPEG XL's advantages are mostly hypothetical, and practically AVIF is the format that has more value. I'm no expert on this, to be clear, but I have yet to be convinced despite all the JPEG XL hype on HN.
Does Tesla charge different rates to non-Tesla owners? Previously they could structure their pricing in a way that made it advantageous to buy a Tesla, but if they are now required (perhaps by regulation or agreement) to charge all vehicle owners the same rate, that means that keeping their rates low helps all EV owners, instead of just Tesla owners. It's not surprising they aren't investing as much under these circumstances.
The reality of Kotlin's LSP and Tooling situation
When I jokingly talk about MBA Disease being the same as Dutch Elm Disease, this is what I mean: parasitic behavior that kills the host.

On one side this is a study in destroying a chain restaurant, but what'll be taught in business school will be the other side: was this transaction profitable for one party and if so how do we repeat it? It won't be taught as a cautionary tale unless the hedge fund lost out.
It looks like he started regularly writing for The Intercept in January 2021, soon enough after Glenn Greenwald got kicked out for having the audacity to actually do investigative journalism and publicly sounded the alarm that The Intercept had been co-opted, that he would have known what he was getting into.

Furthermore, he doesn't once mention Glenn Greenwald's ouster, which would be a very obvious topic of discussion given the context.

I'm not giving him the benefit of the doubt on this one. This is a naked career move, and he's using his side's lingo buzzword salad to appeal to his potential readers.
Based on headline, I thought it was going to be about the varying degrees of psychopathy of founders. Or maybe the lack of empathy.

I guess the suggestion here is entrepreneurs are much more likely to develop or amplify existing mental health issues (anxiety, impostor syndrome, depression, financial stress)

Personally, I think of an entrepreneur as a strictly business decision. Set specific goals that need to be met in order to determine future sustainability. If goals are not met. Then shelf the project and cut your losses.

The added stress of wearing multiple hats is acknowledged though. I’m not much of a marketing type person and getting that right is often half the battle.
It's really crazy to me that your argument is literally, "I read it a long time ago and don't remember," as if that is supposed to be convincing.

Like I said, this isn't a serious discussion.