skysight-inc/HackerNews huggingface dataset:
The problem with solutions like this is that they formalize the hiring process in ways that would be good for workers and the BLS but that capital hates and they're the ones in charge so it can't get done. This is something downstream of worker power, not a route to it.
> OpenAI's latest model ... failed to meet the company's performance expectations ... particularly in answering coding questions outside its training data.

So the models' accuracies won't grow exponentially, but can still grow linearly with the size of the training data.

Sounds like DataAnnotation will be sending out a lot more LinkedIn messages.
Two kinds of writers: planners and pantsers. One has everything laid out before starting (e.g. the OP). The other just starts writing and researches as they go.

I am the second kind. I think nanowrimo might be the right thing for me. Takes me an hour to put out 1000 words. Half that time googling stuff and reading up on some tangential point I want to get right. How does my Vietnamese tailor refer to her maternal grandfather? When does weather turn cold on the US east coast? What fish are travelling through coastal waters there in Spring?

I think the OP might have had more success if she violated the letter of nanowrimo (2000 words a day) and put in time every day instead (say two hours). Writing or editing or researching or plotting.

She's so, so right that it's easier to put down the right thing the first time (or as near as you can get to it) than to edit later. Burns more time rewriting than it would have taken to do it right the first time.

Anyway my two cents, what works for me and how my process succeeds.
This must be why my system becomes increasingly unstable over time ever since I upgraded to Sequoia. I've had to reboot quite regularly.
Yes but in some EU countries it's very unlikely that any union would be directly involved and the company would still be required to pay severance.
I am not sure how these large companies think they will reach "greater-than-human" intelligence any time soon if they do not create systems that financially incentivize people to sell their knowledge labor (unstable contracting gigs are not attractive).

Where do these large "AI" companies think the mass amounts of data used to train these models come from? People! The most powerful and compact complex systems in existence, IMO.
Perhaps it is the reverse: That ColdFusion training sources are limited, so it is more likely to converge on a homogenization?

While, causally, we usually think of a programming language as being one thing, but in reality a programming language generally only specifies a syntax. All of the other features of a language emerge from the people using them. And because of that, two different people can end up speaking two completely different languages even when sharing the same syntax.

This is especially apparent when you witness someone who is familiar with programming in language X, who then starts learning language Y. You'll notice, at least at first, they will still try to write their programs in language X using Y syntax, instead of embracing language Y in all its glory. Now, multiply that by the millions of developers who will touch code in a popular language like Python, Java, or Typescript and things end up all over the place.

So while you might have a lot more code to train on overall, you need a lot more code for the LLM to be able to discern the different dialects that emerge out of the additional variety. Quantity doesn't imply quality.
Of course not - if it works, it works, and I won’t fault folks for using Tailscale (heck, I like Tailscale, but I just got Wireguard working suitably for my needs first). My gripe was more that folks use it for a virtual network on their home LAN without seemingly grasping the implications of such abstraction - kind of like how the trend during the pandemic was “everything in Kubernetes” even though VMs might have been a better fit for their given problem.

If you’re willing to put in the effort to make it work, then go for it, but I just caution folks to understand there might be better solutions to consider - and that especially when talking about abstraction layers, you absolutely need to understand the implications of said layers before deployment.
I wonder when will the scammer also create an AI scammer.

Joke aside, is this going to be cost effective? What would it cost to keep a scammer on the phone for an hour? Who will pay this bill?
A non-allocating library would be forced to return to you the unparsed string literal, since returning a parsed string can require an allocation. It might tell you that the literal is valid.

E.g., take the JSON:

"\"\uD83D\uDCA9\""

There's no (pointer, length) into that that you can then printf(…, ptr, len); you'd get the escapes, raw.

Ofc., there might be situations like debugging where that's fine.
I really hate this lazy argument, that what happened to Alex Jones is another step on the slippery slope to fascism or something. He was sued for defamation and lost. Defamation has been a tort in the US this entire time. Defamation as a concept goes back centuries before the US was even founded. There wasn’t some change to defamation laws that brought down Alex Jones, there wasn’t some novel interpretation of the statutes or jurisprudence. The facts aren’t even novel, this is clearly defamation of the families of Sandy Hook. Alex Jones losing his lawsuit is the system working the way it always has. This isn’t a step towards fascism; it isn’t a step at all!
Since when is AI code efficient?

It’s based on human code, most of that isn’t efficient.
He did present his view in the damages portion. And the court ruled that he did not comply with discovery. Then later in the damages portion of the trial, it was proven he lied. Like, on live camera.
Yeah, but it looks official and confirmed my preexisting bias. So it's correct.
ChatGPT for Windows
“My lawyer warned me that when I sell my business, I lose limited liability protection. If the purchase agreement didn’t limit my liability to the buyer, the buyer could later sue me for any amount, even if it exceeds what they paid in the acquisition.”

“Sales below $1M are usually asset sales, meaning that the buyer is purchasing assets from the business but not the business itself. So, I technically still own a company called TinyPilot, but I transferred all of its physical and intellectual property to the new owner.”

Aren’t these contradictory? If it’s an asset sale, the deal is between TinyPilot LLC and the buyer for the assets.
> or don't grant any license at all.

It wouldn't be open source then?
I noticed a similar vein in SlateStarCodex. There's a strong vibe that "some people" are "naturally" more intelligent than others....
So, scammers start using these things too (obviously), and so AI will be trying to scam AI, then they'll be like "we need to detect when our bots are talking to a bot, so they can exit the call sooner." GANWAR
I have seen the cynical observation, made more than once over the years, that an uneducated population is easier to manipulate, and thus it's only natural for government-run schools to get worse over time.
Dear Perplexity,

We've seen this all before. We know what VC funding inevitably leads to, and we know what Enshittification is. You're just too late to the game.
An embodied robot can have a model of self vs. the immediate environment in which it's interacting. Such a robot is arguably sentient.

The "hard problem", to which you may be alluding, may never matter. It's already feasible for an 'AI/AGI with LLM component' to be "self-aware".
He's a very likeable personality. But he offers the same platform and uses the same kids gloves on all of his guests, regardless of if they are world class professionals at the top of their field or the most deranged sicko fucks peddling insane conspiracy theories.
> Identity, authn and authn are hard.

Just a typo, was one of those authns meant to be something else, or a meta-joke (of the "there are two hard problems" type)?
If you hire an accountant, do you expect to see the books of their other clients? When you choose a doctor, do you expect to see the charts of their prior patients?

And frankly, when you hire a manager or executive, there's not generally a single artifact that you could use to examine their value-add. You can see perhaps the trajectory of a company or a division or the size of their team over time, but you can't see the pile of ongoing decisions and conversations that produce actual value.

I think the flip side regarding code is, the stuff I do for fun outside of my employer's IP is not at all representative of what I do at work, or how. I pick topics that interest me, work in languages that my company doesn't use, etc, and because my purpose is learning and exploration, often it doesn't end up as a finished, working, valuable piece of tech. I deliberately don't do anything too close to my actual work both b/c that just feels like working longer and because I'm concerned it would make ownership of the code a bit fuzzy, and perhaps it would be inappropriate to consider open sourcing. Because my side projects are eclectic and didactic, I rarely put it in a public repo -- but it has served its purpose of teaching me something. If I shared all of my code side projects, they would show an unfocused person dabbling in a range of areas and not shipping anything useful, because that's what's fun ... whereas at work, I am focused in a few quite narrow areas, and working on customer-facing features, because the point is to build what the company needs rather than what I enjoy building.
Most forms of advertisement should be considered criminal, as most modern ads are borderline psychological warfare against a population that doesn't even understand they're at war and losing because the effects aren't immediately noticeable and are very rarely directly physical.

Tear down someone mentally until you can get them to agree to part with their money. Call them ugly, call them fat, call them depressed. Show them how boring and miserable their life is before <product> is a part of their life. But only ever indirectly - if you're too direct the negative emotions they're feeling will be associated with your product instead of themselves. Tease them with beautiful people having fun and enjoying life. This could be you if you buy <product>. Happy and successful. Surrounded by friends laughing and smiling. Remember - ending on a happy emotion makes people associate those feelings with <product> which will increase sales of <product>. Cute polar bears. Drink coke.

It's a form of assault and I refuse to pretend otherwise.
I use one particular search engine which is a synthesis of several. Have to recognize, the search is the first step in a multi-step filter.

Ignore the ads and obvious product promotions. Skim a few promising leads. Narrow it down until you have something real, authoritative (more or less) and pertinent.

Harder to do with some topics than others I'm sure.
similar experience with perl scripts being re-written into golang. Crazy good experience with Claude
Honestly can’t say how frequent it happens but I’ve read a few accounts that say you geographic location plays a big role in whether you are treated nicely or not.
That's awfully close to "terrorists shouldn't have rights", and problematic for the same reason.
I asked o1 to make an entire save system for a game/app I’m working on in Unity with some pretty big gotchas (Minecraft-like chunk system, etc) and it got pretty close to nailing it first try - and what it didn’t get was due to me not writing out some specifics.

I honestly don’t think we’re far out from people being able to write “Write me a todo app” and then telling it what changes to make after.

I recently switched back to software development from professional photography and I’m not sure if that’s a mistake or not.
You can’t make $85 an hour playing with your computer as a gardener

(Although, apparently it’s not likely you can you do it as a dev in today’s market so)
Before ads, the service has one clear goal - build the best product they can for their users.

After ads, the goal is less clear. They still need to please users, but they also have to please advertisers. The needs of users and advertisers aren't always going to be aligned, and so users should lose trust in the Perplexity results.

If I was an investor, this would make me nervous. Make something that is far better than your competitors and users will pay. If you make something that is only marginally better than your competitors, users are only going to pay at most, a marginal fee. Perplexity is signaling that their product is mediocre.

I have a 1 year subscription to the pro plan that I got for free. Unless it gets way better, I won't pay for the next year.

I do pay for Claude and think it's easily worth the $20 / month.
This is how my wife got her most recent job. The hire was all but signed off on but HR required the posting be made company wide. They didn't have a requirement for how long the posting had to be open. She coordinated with the hiring manager to open the posting, she submitted her resume, and the posting was closed. All in about two minutes. HR got to tick a box though.
This intensifies my theory that some of the older OAI models are far more capable than advertised but in ways that are difficult to productize.

How unlikely is it that in training of these models you occasionally run into an arrangement of data & hyperparameters that dramatically exceeds the capabilities of others, even if the others have substantially more parameters & data to work with?
At this point, AGI means many different things to many different people but OpenAI defines it as "highly autonomous systems that outperform humans in most economically valuable tasks"
In case anyone was wondering: https://github.com/martinvonz/jj
> How is censorship?

How does he make future money, you know for living?

The judgement basically means the courts get to garnish his wages until the judgement is paid.

Jones is a goof to me and I like seeing him rant and rave and wear foil hats. But I don't think anyone should have their livelihood taken from them by censorship of the courts. EDIT: remember all judgments and penalties cut both ways. Today Jones tomorrow someone you follow in the media.

Lower the judgement to 1M USD (EDIT: or something reasonable) and let's move on.
You're right. Encoder only models like BERT aren't auto-regressive and are trained with the MLM objective. Decoder only (GPT) and encoder-decoder (T5) models are auto-regressive and are trained with the CLM and sometimes the PrefixLM objectives.
Tested code libraries save time, AI generated code saves time at writing but the review takes more time because it’s foreign code.
Ask HN: Why are drones a thing so lately
Drones have become the go-to solution for various aerial tasks recently, but they haven't been around for that long.

What's surprising is that drones didn't require any groundbreaking new technology to emerge.

So, why did they take so long to become mainstream?
This is not pedantry. It has real-world consequences. Based on the misleading text in the documentation, the folks writing the Postgres JDBC driver made a decision to map TIMESTAMPTZ to OffsetDateTime instead of Instant. Which caused some annoying bugs in my 1.5M line codebase that processes financial transactions. Which is why I'm a bit pissed about all this.

If you walk into a javascript job interview and answer "UTC" to the question "In what timezone is Date.now()?", you would get laughed at. I don't understand why Postgres people get a pass.

If it's an instant, treat it as an instant. And it is an instant.
Bethesda Workers Go on Strike Against Microsoft
In my country (France), I think most last-year CS students will not have heard of it (pls anyone correct me if I'm wrong).
It's perfectly valid to boycott a company if you disagree with their ideology.

For example, when chick-fil-a was openly anti-gay marriage (including after Obergefell), I stopped eating there. As a gay man, I don't want my money going to people who actively wish to harm me.

And it's fine. It was low friction, and I've saved a lot of calories.

That doesn't mean you're then required to boycott everything. Perfect isn't the enemy of good. If you feel like it, boycott.
> Humans will never want to pay for it later. It's judged worthless.

The latter sentence absolutely does not follow from the first. To illustrate with an example: Is Linux (the kernel, or any GNU/Linux distribution) worthless?

Plus, we should also remember that most people who use non-gratis software, don't pay for it; they just copy it. The most common examples are probably Microsoft Windows and Office.
self-awareness is only one aspect of sentience.
I’ve only had very limited experience with colleagues on OPT and my role as a hiring manager with an OPT visa holder.

There’s a big difference between a tech enabled agency, sometimes called a “body shop” - where you are B2B, you are someone’s lower cost option, you are a middleman - and a startup, where whatever you are developing - seemingly B2B, social media apps, hardware, biotech - in some form or another, your core business is capturing 90%+ margins on the LTVs of end users. With experience only in the startup style business, you ought to structure the economics of the deals to your employees such that they can buy what they want if everything works out, and all the incentives align.

So to me, it’s not super material, green card this, PERM certification that: if you make a ton of money, you can surmount any bureaucratic obstacle in this country. Is that the purpose of the system? A complex administrative problem like UCSIS policy and related politics cannot defeat the power of the almighty dollar. So for people who have agency, like startup CEOs, it’s possible to sincerely offer a path to citizenship in the US, in light of things like O1, E1, marriage, etc, that doesn’t break any laws, but only costs money.
BTW, it’s the same for GPUs. In DXBC shader byte code, mad instruction does FMA. When reporting theoretical FLOPs, GPU vendors count that as 2 float operations.

For example, I have GeForce 4070 Ti Super in my desktop. The chip has 8448 execution units; nVidia calls them CUDA cores but I don’t like the name, the correct number is 66 cores where each core can do 4 wavefronts of 32 threads each.
Anyway, these EUs can do one FP32 FMA each cycle, and the boost clock frequency is 2.61 GHz.
Multiplying these two numbers results in 22.04928E+12 cycles*EU/second, and nVidia reports 44E+12 FLOPs peak FP32 performance of the GPU.
I thought I saw some paper suggesting that accuracy grows linearly with exponential data. If that's the case it's not a mystery why we'd be hitting a training wall. Not sure I got the right takeaway from that study, though.

EDIT: here's the paper https://arxiv.org/abs/2404.04125
Im no Alan Turing but I have my own definition for AGI - when I come home one day and there's a hole under my sink with a note "Mum and Dad, I love you but I cant stand this life any more, Im running away to be a smoke machine in Hollywood - the dishwasher"
Freedom of Speech was never intended to, nor does it, cause more lies or less lies. What it does do, however, is ensure that the Gov't cannot have a monopoly on lies which is precisely what happens in Tyrannical Governments where the citizens are not allowed to publicly and openly disagree with their overlords.

There are people in Britain being jailed for what amounts "impoliteness" right now, and are simply not allowed to even politely speak out against their Gov't immigration policy for example. Once Freedom of Speech is taken away, the rest of the freedoms will also be taken away. Speech is always the first thing to go, because people tend to tolerate loosing it, due to not realizing until it's too late, that it's the most valuable thing of all.
I think I've gotten exactly one spam call since I set up an IVR like that a few years ago, and it was probably not quite daily before that.
> I also suspect Carr will find creative ways to undermine the exploding and hugely popular community broadband movement

It's unfortunate that municipal broadband isn't seen as "making America great again". Google Fiber has been a lot better than Comcast, but I trust it as much as any other Google product.
Only if you use FatLTO. I've compiled LLVM many times with less memory.

GCC on the other hand is another story. On a machine that I was able to compiled LLVM (thanks swap), I couldn't even extract GCC source code.
How we built a new type of video search
Hey HN, we recently launched Remy, an AI agent designed to take the pain out of video search, and wanted to give the HN community a technical deep dive on how it works under the hood.

The Problem: There’s a ton of valuable content on the internet, but finding the “best parts” of long videos is frustratingly inefficient. Current video search methods haven’t evolved much since the early days of YouTube and aren’t designed for today’s massive volume and variety of information. Instead, we’re left scrubbing through long videos or, worse, missing valuable content entirely due to decision paralysis. Remy’s goal is to offer a smarter way to surface exactly what you’re looking for, in a fraction of the time.

The Solution: In less than a minute, Remy delivers custom playlists that isolate the best video moments from across the internet. It finds, clips, and organises segments to get you exactly what you need — without the endless search and skip game.

How it works:

Remy is powered by a stack of LLMs (and some non-LLM magic) designed for fast, focused video search and transcript processing. Here’s the pipeline:

1. Request Analysis When you send a message, the system decides whether to provide an immediate response, search the web, or start assembling video clips. If video is the best option, Remy generates a playlist outline with concise titles and detailed descriptions tailored to your query. For temporal queries, Remy automatically adjusts context to absolute dates (e.g., “tomorrow’s NBA games” → “November 15th NBA Games”).

2. Content Retrieval Using a ‘wide net’ approach, Remy generates a large set of targeted queries and searches the web for videos that could match your needs.

3. Multi-Step Filtration & Processing Each video goes through:

- Transcript Pull: Extracts YouTube transcripts.

- Non-LLM Filter: Filters out low-quality or AI-generated content based on YouTube stats, creator channels, release date, and other parameters.

- Punctuation Restoration (BERT): Restores punctuation for better LLM comprehension.

- Clipping: Uses an LLM to locate and clip the most relevant segments of the transcript based on your request.

- Evaluation: Uses an LLM to score clips on relevance, completeness, and interest level. Only the best make it to the final playlist.

4. Reordering & Overview A final LLM gets fed the top 16 clips for each topic, filters them down to the best 4 (at most), and arranges them for maximum uniqueness. Each section gets a brief overview, with added context pulled and cited from the web to give you additional context.

The result? A playlist tailored to your exact query, delivered in under a minute, without unnecessary noise.

We’d love to hear your thoughts and feedback. If there’s something you’re curious to try or any edge cases that it's not handling, let us know. And if you come across any bad clips, please use the report button to flag them! Thanks

https://www.useremy.com/
So many for-profit corporations depend utterly on non-profit open source. They'll feel the bite if open source is negatively affected in the coming years.
Wednesday UAP Hearing
UAP Hearing
More specifically it’s built around the needs of Linux software developers.
They most certainly did! However, that is a pretty tortured comparison if that was the case.

I think I would be harder to make such a cynical zing about the net benefit of allowing 10,000 doctors to immigrate.
Worse yet, imagine that those humans are armed, and many of them routinely fantasize about what they do when "it's time". My local gun store has sported an InfoWars sticker for many years now.