skysight-inc/HackerNews huggingface dataset:
One solution is to establish a strict, clear company culture with guiding principles for making most decisions. All employees are expected to conform or leave. This allows for rapid alignment and execution. But it doesn't work as well for dealing with disruptive innovations.
Wow. Native ads are getting wild.

In the middle of a story about getting crypto scammed:

“If you're interested in legitimate and lucrative investment opportunities, StartEngine presents a reliable platform where users can invest in promising startups. With a community of 1.8 million potential investors, StartEngine is shaping the future of startup financing and provides a trustworthy avenue for people seeking ways to grow their wealth.”
But didn't they agree to do it if Tesla's stock got to some amount? Shouldn't they have written a limit in if they didn't want to exceed a certain amount of compensation?
He means a videocard with 512gb of memory or more.
UCI Weight limit is 6.8kg. For anyone thinking about entering into a serious bike race with one of these bikes, it's too light.
I legitimately thought this was Vale. Rather unfortunate collision in naming
GPT models were internally available 6-12 months before they've seen public beta, of course OpenAI has more capable internal models.
>The $735 million settlement will be paid back to Tesla in what's called a "derivative lawsuit" — the largest ever awarded by Delaware's Court of Chancerty, according to Reuters.

Musk is really making a good impression there, lol.
AKA: The shadow war on bot traffic continues humming along.
I know it’s vogue to ridicule DEI programs, but the reality is that as the blog post points out, these measures achieve the opposite of DEI (all 3 letters of those).

Even standardized tests. There is already evidence that standardized tests reduce equality. Which is not surprising at all because standardized tests are the one part of a college application that someone can excel at purely with concentrated hard work over a relatively short period of time.

An underprivileged kid motivated to go to a good college cannot make up for poor grades earned from K-8 when they barely had the ability to plan a day in the future, and so was driven to do whatever their friends were doing. And then that set them up behind the 8 ball in many ways from 9-12 as well.

Finally, real DEI requires listening to actual underprivileged people. The vast majority of underprivileged parents will not respond to data showing that their kids are underperforming by saying “make sure no one can do this”. They will respond by demanding the schools provide more resources so their kids can excel.

The OP wonders how Cambridge, Mass and CA are making such changes. But it’s not surprising at all because these decisions are being driven largely by upper middle class educated people who absolutely cannot relate to the under privileged people they claim they’re helping.

And this is an implementation of the worst of privilege. Making decisions for the underprivileged by the privileged without ever asking the supposed beneficiaries what will actually help them.
Did they take the JTAG pins off? I'm wondering why you would test differently on the way out of the factory and back in for repair claims
Fluent Python is fantastic.
6pm to 2am
It is not a moral panic, it is legitimate dumbing down of the math curriculum.

You have to look further back. They are blocking middle schoolers from taking Algebra. That means they won't haven't progressed enough to get to Calculus unless they skip ahead a grade level of math, either via summer school, or other outside study.
How come this page reaches top of HN ? Has anything new happened to this language ?

I was hoping there was because i liked the idea when it was announced a year ago, but the page doesn’t seem to show anything new.
SEO spam has already made a tremendous impact on the quality of google results (it used to be that a bad result was a good website about the wrong topic, now a bad result is a bad website about the right topic, and there are A LOT of them).

Being able to generate 100x the spam will certainly hurt things even more.
They didn't give directors $750mm of shareholder money. They gave about a tenth of that in stock and appreciation did the rest.
No, I use Apple's Private Relay which might route via Cloudflare but I've tried it with it turned off and it makes no difference.

It must be something in my network path because I just tethered to my phone's 4G connection and it works. Odd.
Dual enroll meaning take classes at a nearby college while going to high school? Do HSs let you take just part of their curriculum? Did you go to that college full time later on, or just for a couple years and then apply to regular 4-year colleges?
Apache Axis
> Get real. This is sentiment because people are mad that the UK rejected their political beliefs.

One of the most important assets of british people used to be their national brand; it was never an accurate image of who they were as people, but the public relations carefully orchestrated by their government was effective on the international stage. Perhaps the big favour Farage did to the world was to encourage british people to speak up and show everyone what was really behind the so called exceptionalism and the superficial veneer of manners. However, it was also the irreversible deterioration of their image; and I’m not sure british people should celebrate the fact that they shocked and offended the international audience with their beliefs and values.
This is generally the case imo. Installing hardening tweaks/extensions/... to make yourself "more secure" and "more private" often just ends in increasing the viable attack surface and making yourself more identifiable (because such extensions/settings are very uncommon)
These are 2 different lawsuits.
It's like the second-hand clothing store in my town that used to be called "New to you".
and you can code with them inside vi or vim!
Also PostHog
LOL! Ok you got me there. Idiot teenagers can do just about anything provided it's stupid enough!
I realize that a fair answer is "no - you shouldn't be doing that" but like .env files, I find that its a widespread practice. Curious if others have managed a way of dealing with it besides hope someone in the room has tribal knowledge of what metrics have become system dependencies
The problem space is much smaller than 1b. I’d be surprised if it was much larger than 10k when controlled for practical factors like proximity age etc.
That's the same argument's that been made for finding good engineers here in the US...
Slavery goes back a lot further than the founding of the US, and is important context for broad swaths of History.

Regarding the election of the president, I assume you're talking about the 3/5 compromise. I think this had the opposite impact of what you're claiming.

It gave white male voters in the south less power. Representation based on total human population would have given them more.

If you were voting white male in the North, your representation was based on the total population of your state, including those that cant vote, i.e. women and children.

In the south, your total population for the purposes of proportional representation was reduced lower than the total human population of your state
Learning remotely is faster? I thought it’s the same as remote plus extra experience from having work related conversations over the lunchtime
Have you checked it recently? It’s better than Google Maps now.
>LLMs are not complements to social media platforms

Tell that to the people generating text for social media campaigns using LLMs.
The kind of straight news story that this works for is the kind of story where writing it is the fastest part already.

Getting the actual facts to put in the story normally took far longer when I was working in a newsroom.

Longer, harder to write stories, like deeply researched news, or long features are not something that AI can do (yet).
Ask Llama of course. Showing that you are willing to ask an LLM is a perfect sign for a candidate!
This is in reference to a different suit. It’s for Elons comp package not the boards comp.

Even in regards to the boards comp they were stock options not stock so the compensation is based on the option strike price not just appreciation.
Many Googlers here, hope they are more vocal when Google comes up with BS. Rather than when they post a positive blog post.
Oh, `--update-refs` is cool. I think this is what I want sometimes. I'll have a commit I want to test results of against branchA and branchB (e.g. I have `master` and `branchB` with two different implementations of some thing and I want to test some code in ref Y against it. Previously, I had to create a separate branch that was master+Y and branchB+Y and I might alter the branchB and have to rebase branchB+Y on it.

Actually I think it doesn't solve the problem now that I wrote it out, but it is interesting nonetheless.
Yes, happened to me. My ex had a mid life crisis and decided she didn't want to be a mother or wife anymore. She wanted to enjoy life and be free.

Great for her, terrible for everyone else in the family. After that experience, I take these kind of articles with a heavy dose of salt.

They translate loosely into "Be selfish, think only about yourself, live your own life" no matter the consequences.
I use lazygit made by the same person and it's great.
> Undergrad researchers are typically shielded from all of the bullshit that goes on behind the scenes because they aren’t in lab 40+ hours a week.

Sure, but the original comment was about the difficulty of getting published without being a child of an academic or an influentional person. Getting published as a 16-18 years old kid is insanely rare and unachievable for most, and I would agree that for that you might want to rely on hookups from parents. Mostly because it is so uncommon and rare, heavy majority of labs won't even be able to provide the necessary support for a high schooler to be productive in their research (exceptions apply ofc). However, getting published as an undergrad is very doable for most academically-minded students, and there are plenty of opportunities to do so at most research-centric colleges.

As for grad school, guess what's the most helpful item on the CV that professors and grad admission committees look at when deciding whether give an acceptance offer to a prospective grad student? It is their previous undergrad research and publication experience.
This paper came out well after GPT-4, so apparently this was indeed a secret before then.
You're getting downvoted but honestly I'd agree insofar as the UI.

Google Maps is loaded with suggested content. What about lunch? Need a haircut? Check out these top rated places!! Would you recommend Google Maps to a friend or colleague?

Apple Maps is like what Google Maps was years ago: a map and a search box.
What was the marketing investment here..?
I definitely have read this reference, but I can't for the life of me remember where it came from or what was the actual bug report.
> this happens because the rules enforcement can only happen effectively if the rules themselves are perfect and complete and that gets harder to guarantee with scale and speed of iteration.

IMHO, project-level assertions about initialization-order feels a little bit dirty, but potentially practical as long as there's only a few rules. Surely even a bazillion line monolith can still often be thought of in terms of a few layers. But by the time you get to lots of rules it's getting hard to stomach the code-smell and keep justifying it as practical. At that point I'd want something dynamic and backed by a real solver.. not just a layer of static-analysis.

The deal framework for DBC doesn't quite do this afaik but is starting to expose some stuff along these lines, and at least can assert imports are "pure". https://deal.readthedocs.io/details/module_load.html
I've met DBAs, when that role was more common, that obsessed over creating ERDs and other data digrams - posted them all over the walls. But that was because they wanted to do it and were sufficiently empowered. It clearly was related to their work, but most other engineers wouldn't really have cared if they existed or not.
I have the intuition that rust can’t possibly be the winner, it really feels too crude regarding the way it manages lifetimes. It really feels like the clumsy grandparent of the language that will indeed solve those problems elegantly.
stackai, botpress, elevenlabs, midjourney, the title didn't say llm it said AI. This would also include vector db companies and ancillary services that only exist to add value to llm companies, that would probably fail or be way lower valued if there weren't an llm use case.
this story does more to persuade me to switch to 1.1.1.1
If LLama 2 were a Lou Reed album, it would probably be Metal Machine Music.
I sit in a dark corner facing the window for this reason alone.
On desktop, I use Firefox, Chrome, Edge (and sometimes Safari) interchangeably and sometimes at the same time. On mobile, I use Firefox and Chrome interchangeably.

Honestly, I notice no different in performance, look or feel. Sometimes I have to check which one I am actually in.
I think we are entering new territory with owning peoples appearance and using them as puppets on a string to do and say whatever you desire. Your clone can quite easily be more famous than the original you.

We might think we can be mature about it but one will be one shot away from losing the other job as well. We cant have a bus driver who..... woah!
I missed the part in there where they've made it possible for people to repair their own cars. It's all about independent repair businesses.
If we're going to theory-crafting, I think if the price of LLMs goes down, the demand for social media should go down too. Cause it's easy to make social media platforms worse with LLMs.
Security operations centres for private companies that have lots of screens in them and tiered rows of desks. Bonus points if they have a podium at the front for briefings. Additional bonus points for having glass window view plane for visitors. Final bonus points for a button that converts the graphs on screens to a world map or some other BS when actual guests do arrive. It’s like some type of Apollo 13 fever dream.
Thanks, appreciate your perspective. This is much more insightful than just "affiliated==botnet". I agree that this can be a huge positive and - at least for me - that was the motivation for wanting to be active in the comments; to see if there are any challenging questions, feedback, etc.

As a HN user, I often go straight to the comments and only look at the submission if there's an interesting discussion there. I can totally see how spammy-looking comments with an undisclosed affiliation can have the exact opposite effect.

(affiliated with Weaviate)
I think this is exactly the type of program they're trying to get rid of because it caused a disparity of outcomes of students at graduation.
> Yes, there are people who create a mess with abstraction. This happens in every language, in Java people create FactoryFactories, in Haskell people play type tetris, in Ruby, people abuse metaprogramming and in Go, I assume some people go overboard with code-gen.

It's possible in any language and yet some languages' codebases are consistently worse than others ;)

If you create a culture of cleverness, implicitness and metaprogramming, that's what the programmers using your language will do. It's self-selection to an extent.

"I've suffered long from the Ruby ecosystem's mentality of 'look at what I can do!' of self-serving pointless DSL's and frameworks and solemnly swore to myself to stay away from cute languages that encourage bored devs to get 'creative'." [1]

"I worked at a Scala shop about 10 years ago. Everyone had their own preferred "dialect", kind of like C++, resulting in too much whining and complaining during code reviews. IMHO, the language is too complex." [2]

> And all the while, every one of these lines could be mutating some shared state

That's where the obvious code helps.

Let's circle back.

> I still don't know what people mean by "obvious" code.

The Zen of Python is a nice primer: [3]. A beautiful display of taste right there.

A few concrete examples:

- "Explicit is better than implicit."

Explicitly returning errors means we get to see every single point at which something could error out - explicit, as opposed to exceptions that could implicitly propagate from any line of code, with no way to tell.

Preferring pure functions - a pure function is a black box with a clearly drawn boundary line of input->output. Trivial to reason about in isolation.

No automatic type conversions.

No global state - any part of the code could change it.

No metaprogramming - you've learned Ruby but now some parts of the language have been changed to mean something completely different!

"The syntax has so many ways of doing things that it can be bewildering. As with Macro-based languages, you are always a little uncertain about what your code is really doing underneath." [4]

- "There should be one-- and preferably only one --obvious way to do it."

Uniform code. Iterating through an array always looks the same, so if the code you're looking at does it differently, you'll pay attention.

[1] https://news.ycombinator.com/item?id=13482459

[2] https://news.ycombinator.com/item?id=31219392

[3] https://peps.python.org/pep-0020/

[4] https://alarmingdevelopment.org/?p=562
Do you _really_ need a cofounder? Putting someone in your pitch deck who is not 100% committed is going to torpedo getting a term sheet when investors want to meet them.
Interesting. The very early adoption of the neural engines in all Apple products would make you think that they had something brewing. Same with the relatively capable m1/2 GPU's. Various models and stable diffusion runs suprisingly fast on these devices and could be optimised to run much, much faster if Apple actually cared, but they weirdly seem not to.
well, sure, nothing is free, but costs are (sometimes) investment, and this is more an issue of politics/economy planning than tech.
And with the perspective of such a big development, investment everywhere, of planetary size, who will stay out of a businnes at this scale? i don't understand..

About Minesota, i will read the report, after a brief look i understant that in a state with 25%coal, 20%nuclear, 17%gas, talking of such big increase of green will cause panic to someone.

About Grid, the infrastrucure is here, is necessary, and is independent from the pool of sources (green, fossil, etc..) so it's cost is not related to nature of sources, it's a long term investment to be mantained, so is unavoidable.

The Storage is the open problem, here the investment are necessary and, as you say, in the long run.
But to have a real long run, maybe some classic rules of the market need to be relaxed? to let the techs develop..
This comment is absurd but I would like to order that please.
In my day we didn't have a fancy computer to calculate change. We had to count up change, just like my grandpappy did in nineteen-aught-three. And change! MEH! All we had were sheets of zinc and steel and copper foil. We had to manually pound out pennies in the back of the shop in a mold stolen from the mint in DC. And even if we did get a computing device, all we had were zeros. We had to pound half of 'em into ones manually. AND WE LIKED IT THAT WAY!
Not really, unless some future hardware supports such a beast, could be an interesting approach for AI/WebGPU interfaces.

It's more for service-oriented applications currently... you pass stuff in, get stuff out.
Human Shader
That’s something i had never considered and it makes so much sense! Plus I found that after like 15 seconds the lights shut down which is … pretty crappy design if it’s not malicious.
I understand your point, jessriedel, but my contention remains that there's a marked distinction between quantum sensing and quantum computing. As we're discussing, quantum sensing has yielded tangible, applicable results, which is the physical manifestation I was alluding to earlier.

In terms of computing, we have seen many new paradigms materialize within decades, even centuries, of their conception. Babbage conceived of the Analytical Engine in the 1800s, but we saw programmable computers by the mid-1900s. The transition from electromechanical to electronic computing occurred within a few decades. Every instance of these examples are real physical examples that were able to be used and demonstrated as a physical device providing utility. We can even go back to the early computation devices of the loom or even analog computing calendar/clock systems.

Quantum computing is an ambitious concept, and while I respect the academic rigor that goes into its development, the lack of concrete, physical outcomes, even in a rudimentary sense, after four decades is notable. Theoretical advancements are important, but the inability to materialize them in some substantial form, especially when juxtaposed against the timeline of prior computing paradigms, can warrant skepticism.

Don't get me wrong, I value innovation and the pursuit of new technological frontiers, but I also believe in questioning, and when the physical evidence is wanting, I'll voice my concerns. This is not to discredit the work being done but rather to keep the discussion grounded and accountable.
It's a lot easier to pop a cartridge in than to disassemble the case to get at the JTAG pins.
>No idea why aws moved away from their original distribution method

Didn't they move away exactly because of issues like this? As I understand it, aws-cli v2 is still written in Python but ships everything it needs self-contained so it can avoid Python dependency hell[1]

1: https://www.youtube.com/watch?v=U5y7JI_mHk8#t=3m40
Given all of the times OpenAI has trained on peoples' examples of "bad" prompts, I am sure they are fine-tuning on these benchmarks. It's the natural thing to do if you are trying to position yourself as the "most accurate" AI.
I've been using copilot and chatGPT for active development.

It's great for generating boilerplate.

Chatgpt is excellent for explaining the details of things like configuration options.

I still write most of the non-boilerplate code myself.
There have been other failed Apple products. Lisa. Newton. Macintosh Portable. iPhone 6. Etc.

https://www.cnet.com/tech/mobile/apples-worst-failures-of-al...

No one gets product planning right 100%. The key is to recognize failures early and cut them off.
I’m curious as to how calculus is used in those fields. I got a degree in CS and we had to take a bunch of calculus classes but never used it in any of our CS classes and in my 20+ years of programming jobs I’ve never had to use it. Any time in my professional career that I needed math I didn’t know I learned just enough of it to solve my problem and promptly forgot it. I absolutely could not tell you how to mechanically do stuff to derivatives and integrals.

This question is relevant to me because we are deciding what to teach our kids and I haven’t yet been able to come up with a good argument for why to spend time gaining the skill of pen and paper mechanical calculus algorithms.

Are there professional scientists or engineers out there that do calculus on paper?
This submission is yet another attempt to steer HN towards political discussion.

There are enough other sites for doing that.
I'm quite surprised that everyone here is questioning your ability and truthfulness of the situation instead of taking giving advance on the face value of your assertions. If you believe in your assessment of the situation, I would do one of 2 things. Either look for new opportunities or don't feel guilty spending less time at work. Use the time to better yourself.
Akka uses the actor model. https://doc.akka.io/docs/akka/current/typed/actors.html

IIRC, Akka based their implementation on Erlang (possibly OTP), but it's been a long time since I did anything with either Erlang or Scala, and I never used Akka in Java.