skysight-inc/HackerNews huggingface dataset:
It'd be fun to see where different people draw the line between linguistics and math, but I live in perpetual fear of reinventing a wheel that is very much understood in another discipline. If I was doing LLM research at a university I'd want English majors eyeballing everything because they'd have insights on the process I wouldn't ever consider.

I was in the peanut gallery for a few planning sessions on reworking documentation at a major org and kept pitching the idea of hiring library science masters. Literally what they trained for and their other job prospects pay like $35k/yr. Shot down over fears that they wouldn't "understand the code", like that's the hard part of this job.
They'd have to admit they're incompetent at hiring / running their departments, easier to blame and make someone feel bad.
Since AI is mostly trained on open data from the Internet, AI is as dangerous as the Internet. Aren't LLMs basically hallucinating search engines which understand natural language? Where's the danger? They can't do anything novel that humans can't already do.

What's really dangerous is lack of transparency around closed-source models (say, US govt has a deal with OpenAI to alter the output the way they want) and there's also privacy concerns (no idea where my personal or our confidential corporate data will end up).
When someone says "AGI" what does that actually mean to you today? Every time I talk with others about this it feels like we have wildly different interpretations and expectations. Similar to "cloud native", "crypto", et. al.

For me, the most basic level of "AGI" is: I can provide a human instruction and the intelligence will iteratively work through a known problem space with known tools until it reaches a satisfactory outcome, or realizes it is unable to complete the task with an explanation regarding why.

How this outcome is achieved is not really relevant to me. The effect on the business is all that really matters.

The LLM doesn't seem like the important part anymore. We figured out a pretty damn good hammer. It bangs those nails in clean pretty much one swing every time. We need to stop focusing on the hammer and begin focusing on the framing.
All of the hypotheticals were pretty poorly formed. But to be fair, it doesn't say anything for or against immigration, just "angry about immigration".
In the UK (and most other places with fairly strong employee protections I imagine) it becomes pretty difficult to get rid of employees once they've been around for a while. Often involving a lengthy "managing out" process.

Given this, it's common for a 3-6 month "probation period" when starting a new role in which you can be dismissed fairly arbitrarily. This makes sense given the commitment taking on an employee represents IMO.

As a result, it's very common for people to lose their jobs within a few months of starting. Just as I imagine a lot of relationships end after a rather short period of time or then tend to persist a bit longer. Sometimes it's clear things just aren't going to work out.

She's right in that it's a bit of a rug pull to get continuously good feedback and then suddenly get terminated. There should ideally never be any surprises. I.e. you'd always usually tell the employee what will happen if x does/doesn't happen, get them to agree and then when it pans out that way, no-one is shocked. But like I said.. she's been there what, 4 months? Just move on.
Mean average home price in the city of Cupertino is not a useful statistic to determine if someone is priced out of a job located in Cupertino. There are lower priced areas that are within commuting distances acceptable to sufficient people, plus dual income couples.
What do you mean by live preview? My non-evil Emacs shows you the matches in the current buffer as you type. I don't think I did anything to enable it, but think it's a fairly recent thing (maybe Emacs 29).
Speaking of epic scifi, when are we getting a Hyperion movie? I'm just re-reading it now and it would make for an amazing movie with todays special effects.

Or like a single season mini series.
Futile? You do realise how many people do hatha yoga now?

Many scientists and health practitioners recommend it for all sorts including stress. How is that futile?

https://www.bbc.co.uk/news/uk-england-wiltshire-67205331

https://www.bbc.co.uk/news/health-66807432

https://www.bbc.co.uk/news/health-49609597

https://news.sanfordhealth.org/cancer/survivorship-the-heali...

You may then want to question, if some ancient scripture spoke of this type of yoga and it has value, why not investigate the other types. It took the west decades before it started taking up Yoga (mostly because of christian resistance/influence). So why not research into the other types?
Wow, this is great news indeed! I never really understood how this was not regulated right from the start. But better late than never...
I agree. Occasionally ours doesn't work (frequent and very irritating OpenAI timeouts) or the output is inconsistent (different output from the same input).
Just a tool that required billions of dollars worth of copyrighted material to be created.
How to live off the edge of the cliff
A practical list of things that help you living off the edge as a founder and taking massive leaps of faiths and tons of small ones along the way
What makes you think a battery fire is likely at all?

High quality EVs are already extremely unlikely to catch fire. Much less likely than ICE cars of similar model and age. And those cars are exposed to relatively rough conditions (accidents, debris on the road, etc) , and the battery packs aren’t closely monitored.

For a plane, the QA of the battery pack would likely be better to begin with. They’d have much stricter procedures for
monitoring the battery packs for possible abnormalities. And they’re unlikely to be exposed to a physical accident.

By the time they hit the skies (2030+) our experience with batteries will also be better. It’s obviously possible to ensure a battery never spontaneously ignite. Most battery packs, by far, never do. We’ll probably have a better understanding of the triggers of freak spontaneous fires.

Even in the ridiculously unlikely event of a battery fire I’m pretty sure it can be handled. People make out EV battery fires to be impossible to handle but the fire departments in places with high EV concentration has it pretty much figured out now and consider EVs to be less problematic than ICE. (Norway, Netherlands)
I guess at the end of the day, they're just fakes like any other fake reproduction. They'll be sold on marketplaces, occasionally a few buyers will be duped. But most are buying the style, not the artist, and wouldn't care.

The issue for this site is that they're using the artist names against the reproductions -- that could be argued as intentionally misrepresenting the origin of the works. I imagine, in no short order, they'll remove the artist's names or otherwise change the language to reflect that these are not the artists original works.

I'm not sure what people would use these for, other than their own personal use? Maybe inspiration, mood-boarding, or concept art... Some printing at home? I don't know.
I doubt they’re offering any more for this position than other software engineering positions at a similar level. You can roughly double the base salary number to get TC including stock and bonus. If Chris Lattner decides he wants to return to Apple they might make an exception though.
The obligations of the company are different if it’s for performance reasons. If it’s a layoff it’s a lot more. It also sends a negative signal about the company to customers and investors.

The CEO commenting elsewhere implied they have a stack rank system where they let go of lower performers regularly.
Yup, see if a server is up or get the IP to determine the hosting provider.
Leading tech journalist quits Substack over platform's Nazi newsletters
> Do you have examples of your decompilation, and how it compares to state of the art that uses other approaches?

We don't have any exhaustive comparison, and for sure IDA are better than what we currently produce in many aspects (we're not at 1.0 release), but I can tell you where we want to go:

1. Automatic data structures detection: our goal is to basically never emit pointer arithmetic but automatically reconstruct data types so you see `pointer->field2 = 3` instead of `*(pointer + 8) = 3`.
And we want to do this exploiting global (interprocedural) information, not just within a single function. AFAIK, this has never been done out of academia. https://twitter.com/_revng/status/1674788459213631505

2. Emit way less gotos, ideally none. That's one of the things that makes the code hard to read. https://rev.ng/downloads/asiaccs-2020-paper.pdf

But again, I invite you to register for the beta and wait for the blog post where we'll show some recent developments.

> Do you run optimizations on your generated LLVM IR to clean it up and canonicalize it?

Sure, but it's not just about cleaning it up.
LLVM has a set of analyses that we exploit to detect access patterns and automatically detect data structures containing arrays too.

LLVM is so nice: it's scalable, you can recompile it, there's lots of analyses and you don't need to reinvent the wheel with six edges.
Single Sign-On Implementation: Security Issues and Best Practices
Oh, I still end up in the docs and have them open all the time. I don't generally use it for AI code completion. Maybe what's needed is just better doc search (that understands context and intent).
Three things about your competitors
The article makes a solid argument as to why the "T" is fundamentally different.
Pikimov — Web-based motion design and video editor
I have a couple of quotes in there somehow from the efnet #quake days. Good times. Reading bash.org always made me laugh.

Literally was looking it up a couple days ago for the quote about taking the warning labels off everything and noticed it was offline!
leaps of faith *
I always wanted to have a blackboard at home, but I’ve been convinced the chalk dust makes it prohibitive.
Well it's silly to assume that these are mutually exclusive methods of teaching. As you well point out, prepared material on a computer can show things that you simply can't on a blackboard, things like visualisations, graphs, schematics, or other things that are either too tedious or impossible to write down on a blackboard and copy to a page.

My rule of thumb is: screen for exposition, blackboard for problem-solving.
reg. 1) Which one has been used?
So, your answer to “why do they have to preach” is… preaching? This is like someone posting, “Ban cars! Bikes are better!” every time someone mentions a breakthrough in, say, EV tech. It is both off-topic and everyone here knows it will derail the discussion into mudslinging, just like how all EV discussion gets derailed. It only adds noise.
It's his online (HN/X) handle
The other mainstream definition comes from Peter Norvig , author of the most mainstream textbook on artificial intelligence (or at least the most cited). He defines AGI relative to narrow AI, using the development of general purpose digital computing as an analogy. Before general purpose digital computing, there were a wide range of specialized narrow forms of computing.

Thus, he concludes that AGI is already here (it is similarly general purpose) but in the early days.

I find his view pragmatic and helpful. https://www.noemamag.com/artificial-general-intelligence-is-...
Except for the fact that 99% of the time when you pick up a whiteboard marker it is dried out. Chalk doesn't do that.
Yes, but then you wouldn't be abusing the type system, so where's the fun in that? :P
Always funny reading posts like this from developers (or anyone) who somehow cannot ever imagine that anyone would be saying the same thing about them.
> It's directly comparable to gun nuts justifying their right to own weapons designed to murder people by claiming that it's for "protection". Those same people have zero interest in better door locks, stronger windows, or anything that would actually protect them.

Ah, it's your fault for being robbed or mugged, and killed in the process - you should've just had a better lock or not go downtown for a show.

In fact, we should victim-blame more often - we should just tell rape victims they should've had more clothes - you were asking for it after all.

Probably should tell convenience store clerks to get a different job.

We should tell police officers that they don't need guns to stop criminals with guns.
Periodic Table Gallery
NOTE: I know nothing about this area besides what I read from tech articles.

The existance of multiple centers of decision on latest LLMs surprised me.
I'd venture to guess either locality nodes will evolve or will need to be made happen to reduce the necessary bandwidth for LLM.

By a jump of logic, I'd also venture to guess that will need to make it happen before we reach AGI.

Additionally, physiological nodes will also need to happen before we have human-like AGI.

Either way, just making things up here. Not a professional.
Hakit: Home Assistant React components to generate dashboards with ease
Wow all these companies and people, you included, with our well being at their heart. Inshould probably invite you and Vanguard for Christmas. /$

At the end of the day this is a free economy and people will vote with their wallets. This will not slow Bitcoin adoption but will lose money for the reluctant parties, and this will in turn bring them back to the table ...
No, not really.

I guess I didn't explain that once they figured out what the confounding variable was, they controlled for it and the dip disappeared. Given that, the ADH1B study and the other study mentioned in the article, the evidence is strong and completely one-sided.

Having a tolerance just means harmful effects are less pronounced, not that there is a benefit.
This is an archaic take on sales. They're not selling fungible widgets, their service is not something to offload on clients who don't want it as then they'll obviously just stop the subscription, with all that's happened being to undermine Cloudflare's reputation and chance at future business.

She comes across well, thinks on her feet and is assertive without being even remotely unreasonable.
And whose POV is obviously strictly neutral when it comes to eagles...
Slower is OK if it’s faster than land based transport and can use local regional airports.

Some electric planes are much more quiet when taking off. They can also be cheaper to operate. They will probably enter markets where you might drive 10-30m to a local airport and fly directly to another local airport near your destination. Rather than driving an hour to a large international airport.

Norway is a perfect example of a good market. It has a large network of small local airports. The main issue for them is operating costs. Given the geography it’ll almost always be faster to fly, even if the plane is slower, but it’s often expensive. And having noisy planes taking off right next to small towns every hour would be annoying.
Don't put words in my mouth. OP very clearly said:

>"This is a proposal from the NTSB to the FAA to raise the CVR recording time from 2 hours to 25 hours, in line with ICAO."

You are arguing two hours is fine, but 25 hours is "perpetual recording". That is a strawman.
This is possibly the most egregiously and malevolently misleading piece of propaganda about AI that I have seen. Written presumably by a person, making an effective counterargument against their own claim.

Free and open, unfettered development of AI is a fundamental human right.

LLMs are nothing more (and nothing less) than marvelously effective parsers for the cultural-linguistic heritage generated by all of humanity. The n-dimensional matrix of vector data represented in the sum total of human intellectual output is THE legacy of humankind, and is the precious and vital commons of all humanity.

To regulate and close access to tools required to parse that information in newly effective ways, tools that make that heritage accessible and available to humanity at large, represents nothing less that an attempt to hobble and intellectually restrain humanity itself, to criminalize the unconstrained enlightenment of humankind, as “uniquely dangerous” .

Yes, access to information and knowledge is uniquely dangerous, in the same way that allowing the everyperson access to libraries and reading is.

This article might just as well be arguing to restrict the teaching of reading, as well as access to books and the internet to an “approved list” for public consumption.

To see this published in IEEE is a serious disappointment. I will be withdrawing my affiliation with them unless a retraction is made.
Yes, you can get Disney style and a lot of other copyrighted stuff. Yes, they are very bothered.
> relatively soon

This sounds more real.
Although the tweet is not clear, people who were at that presentation seem to confirm that's exactly what he said. There are a few of those sparse in this thread.
Wayland really breaks things, just for now?
I'm sure there is an accurate number that is somewhere between 136 and 'thousands' but I wouldn't trust either the windmill operators or the people that run breeding programs for eagles to report them accurately.
SpaceX targeting February for Starship's 3rd flight test
Assuming things are as they seem to be from the context provided in the video, this is really disappointing to see from a company that I largely respect and appreciate for their technology and engineering content. I do hope we get some insight from their side at some point rather than leaving people claiming mass layoffs under cover of terminations if that is not the case. As an engineer in the industry seeing things like this would be a massive warning to not actually ‘meet my heroes’ so to speak if I applied there.

Edit: it appears a few already have on Twitter. https://www.nasdaq.com/articles/cloudflare-ceo-says-viral-fi...
This technique is good for job interviews, when they ask me to solve leetcode problems. I was inspired by the blog:

https://aphyr.com/posts/342-typing-the-technical-interview

and related to Rust, the solution

https://github.com/insou22/typing-the-technical-interview-ru...

Or Typescript
https://www.richard-towers.com/2023/03/11/typescripting-the-...
That may be an apt descriptor for the LLM, but the bot is a not the model. The most significant risks are unique to the as-a-service bots.
Show HN: Synphage a modern phage genome synteny graph generator for .gb files
In the US, that does not happen. The expectation is someone only gets terminated in the first year if they are terrible. Unless it’s a tiny startup, such a stint would raise concerns.
One practical use case is for dimensional analysis. A type is then a k-tuple of type-level integers where k is the number of primitive units, e.g. (kg, m, s). Then m^2 / kg would be the tuple (-1, 2, 0). Multiplying two quantities adds the tuples elementwise. For example multiplying the above type by a quantity of type kg / m / s (corresponding to (1, -1, -1)) would give (0, 1 -1), which is the correct m / s.

Addition would only be allowed if the types are equal.
If you want to learn writing, wouldn't it be much better to see someone write in a word processor, to write with the same tools that you will also use?
I'm just considering couple hundred of these operating daily. Then if single one has to abort take off and evacuate at end of runway. That might close off relatively big airports runway for good bit. Likely causing significant secondary economic damage.

Also ensuring that everything works perfectly and never fails is not very simple thing.
And here I was a few months ago, looking at the rise of Large Language Models and ...

expecting a resurgence of all these natural language assistants.

I was expecting to see the effectiveness of these assistants go through a step change for the better, and use cases exploding.

Expected the established players like Google and Amazon being able to finally justify building so many of them and selling them cheap with and uncertain pay-off all these years.

Alas!
Since there is no space inside my house, to put a decent sized blackboard and I don't have free access to one, maybe blackboards aren't so democratic as one would wish.
Only if that works for you, though.

For me to write stuff down in real time I basically have to turn off the understanding part of my brain and become a dumb pipe of sounds goes in ear to words on page.

I can hear and write, or I can listen and learn, not both.
Sick enough that it affects your spending habits? In any case AI companies will do their best to produce content that lands below that threshold.
If MS could acquire Discord back in 2021 people would assert that this is the direct result of the acquisition.
Very rich and easy to use! I'm not affiliated; I just discovered it and wanted to share. It uses websockets and has built-in authentication with Home Assistant.

Here's a demo https://shannonhochkins.github.io/ha-component-kit/iframe.ht...

Great documentation available here: https://shannonhochkins.github.io/ha-component-kit/?path=/do...

I had never heard of it before, but I hope it gains a lot more traction!
That's exactly my impression of his image as well
> Yes, they are very bothered.

How? Do you have any examples / sources?
> What purpose does that serve?

Limiting financial/legal liabilities - so I hear.
To positively add to your viewpoint, my experience as first a student and later a professor is that many students prefer slides/notes to blackboard because the former often gives them the perception that they learn more.

Slides/notes are fixed content. It's also finite content that you have to learn. If you learn all that content, you have mastered the course. So, it's quite easy to assess how much you have learned. But slides/notes don't teach skills well, and teach even more poorly on how to think in the course domain. Books also do poorly at this. The only way to learn skills and ways of thought is, as you say, by imitation. The imitation happens on the blackboard, where a good lecturer thinks out loud, gets the students to think out loud with him, and hopefully transfers the rhyme and rhythm of the discipline to them.

The 'problem' is that you can't really nail down concretely from a blackboard lecture what you are supposed to learn. Moreover, no matter how much you read the book, and master the content, you will always feel like you aren't thinking as well as the lecturer was. So you feel bad. Of course, if you let the pain drive you, you continue on your path of learning. If you don't, then blackboard courses feel horrible [1].

[1] A huge percentage, I would hazard, majority of lecturers are not of sufficiently good quality. Teaching is incredibly difficult. So, many blackboard courses, as do many notes/slides courses fail because the lecturer was just bad.
That is mostly just your opinion, not facts. I returned my car because of problems like these (and the awful build quality). Not everyone agrees with what Tesla do, and that is fine.
Swift is a beautified and pythonified Objective-C without the dynamic dispatch. It uses the same ARC memory model. C++ doesn't lock you to a particular memory management scheme. You can program with raw pointers like it's 1998, or entirely use post-C++11 value-semantic objects without touching new and delete.
I've not shared my story. Much of the FIRE community is sick of hearing about engineers doing it. I was a SRE in Maps - I joined after Apple fired Scott. Many gave me a lot of hell for going to Apple Maps but there was a ton of work. I did move to Portland metro area during pandemic and actually got permission for perm remote work at Apple. But once I saw I could FIRE I waited for 1 more RSU vest and left. Zero FOMO - a coworker on my team left 6 months before me. I'm currently on a 4month vacation in Asia with wife. I'm still connected to former colleagues at Apple and visit the offices. I left Spring of 2022.