skysight-inc/HackerNews huggingface dataset:
DR is a nice way to gather information, when it works, and then do the real research yourself from a concentrated launching point. It helps me avoid ADD braining myself into oblivion every time I search the internet.
The fatal mistake is thinking that the LLM is now wiser for having done it. When someone does their research, they are now marginally more of an authority on that topic than everyone else in the room, all else being equal. But for LLMs, it's not like they have suddenly acquired more expertise on the subject now that they did this survey. So it's actually pretty shallow, not deep, research.
It's a cool capability, and a nifty way to concentrate information, but much deeper capabilities will be required to have models that not only truly synthesize all that information, but actively apply it to develop a thesis or further a research program.
Truthfully, I don't see how this is possible within the transformer architecture, with its lack of memory or genuine statefulness and therefore absence of persistent real time learning. But I am generally a big transformer skeptic.
>How is AI going to make its own chips and energy?

OK, so do you support laws preventing chip manufacturers and energy providers from becoming reliant on AI?
I need to test that.
This is a crazy story!! Hahaha wow. What was the prime number?
To be fair, I use a mouse on a MacBook. Because even the best trackpad is still more cumbersome, painful, and inaccurate than a mouse.
I find most of shellcheck's opinions quite arbitrary.

Wider shell compatibility is a good reason to use backticks. Avoiding nesting is always possible. Quoting may be a concern in more complex usage. But yes, I know well, and often also use $( ) syntax.

Making a lot of noise about use of (the shellcheck author's) non-preferred syntax, which works perfectly fine in a given context, is a design flaw that renders shellcheck useless to me. I'm perfectly capable of finding an opinionated pedant on my own who will also critize the syntax I use (with little or no justification), and offer no actual help...
Very impressive having all these podcasts indexed, searches are fast and up to date. Out of curiosity, why the name listennotes? If I was doing a search for a simple podcast transcribing product, I might confuse the name for a different service.
We have a limited amount of attention to give and trust to offer, so we filter ideas with heuristics.

One of the heuristics is that if someone says something very left-field, does not qualify why it falls out of consensus, and it appears the same as arguments made by politically motivated actors, we trust it a lot less.

Especially when that person has no expertise in the area and is mostly famous for a completely different thing.
I am no bot. Dang can reach out to confirm etc.

On the flip side, your comments have been incredibly disrespectful and flamewar-ish.

You may not know me as a person, and may be paranoid about bots etc. But that does not mean you can mistreat me.
This question is trivially answered by visiting Apple's website, which is---to my point---not generally true for their competition. If you have some further point to make, I recommend stating it more clearly so we can avoid wasting time here.
The SSD prices are insane.

$400 to go from 1TB to 2GB.

$307/TB to go from 1TB to 16TB.

That is 3 times the Amazon prices: https://diskprices.com/?locale=us&condition=new&capacity=4-&...
Is the M4's media processing superior to the M3? Would the M3 Ultra not perform as well on video editing?
Hey, as for OMSCS.

I did some research and I'm deferring for a semester but tbh my motivation is pretty low. As per perception it seems decent but depending on circumstances it's def a much better idea to do an on campus programme.
> Nothing actually happens but it gets in the news and people think something COULD have happened.

Most likely, they prop it as a huge win domestically, so that the public keeps thinking they are winning and become easier to placate.
How about Gumdog Millionaire?
The YouTube Music app has “skip back 10 seconds” (and forward 30 seconds) on the lock screen (at least on iOS), and does play podcast content.
Exactly, it's sort of reasonably priced. $6.50 would be better, but it's fine.

I primarily watch YouTube on my TV and it would be great to be able to unbundle YouTube Music. They've already tried this in Denmark, but failed to advertise it, like at all. There also was no option to downgrade, you had to cancel and then sign up again.
After thinking about this for a bit - I bet the third party ink refill manufactures would win in court if they sued for the codes needed. There are many laws in place already - most of them were written with cars in mind, but they are broad enough to apply to printers.

However it would be several million in legal fees to do this and I'm not sure if they make enough on refill to pay the lawyers. Unless they can convince the courts to give them legal fees as well.
Isn't interbreeding bad for their health?

Genuine question.

Is it interbreeding in a way like all bisons present now are sharing the ancestors or is it like it's all a single family of 6k bisons now ?
On Linux (maybe only certain distros, not sure) the keys are different, but you can enable a Compose key and enable special character keybinds as well.

For example on Mint en–dash is "<compose> <minus> <minus> <period>" and em—dash is "<compose> <minus> <minus> <minus>"
Yes, I have one big beancount file tracking everything back to 2014. I use fava for visualization and git for history/backup. I've occasionally gone back and split or moved accounts, based on what metrics I want to track at that moment, it's pretty easy.

However, contrary to the article's automated method, my workflow is to manually input transactions every day (or every couple days, depending on what's going on) and balance my accounts. It's a bit of a ritual, but I like having a really good handle on day-to-day spending. Plus, I find ~10 minutes once a day way easier than (e.g.) ~3 hours once a month, even if it's the same amount of time overall.
Partisan TV consumption more widespread than previously thought
I noticed that these models very quickly start to underperform regular search like Perplexity Pro 3x. It might be somewhat thorough in how it goes line by line, but it's not very cognizant of good sources - you might ask for academic sources but if your social media slider is turned on, it will overwhelmingly favour Reddit.

You may repeat instructions multiple times, but it ignores them or fails to understand a solution
Don't forget CI/CD farms for iOS builds, although I think it's much more cost effective to just make Minis or Studios work, despite their nonstandard formfactor
If you take the Matrix logarithm of an SO(3) (3x3 rotation matrix) you get a 3-vector that represents the axis of rotation, scaled by the rotation amount (in radians). This is also a cheap operation using the inverse Rodrigues formula [1].

The 3-vector is not a bijective representation (starts repeating after length == 2*pi) but otherwise is the most elegant of them all, IMO. No need for rotors or quaternions. Plus you can simply use Rodrigues to get a rotation matrix back.

[1] https://en.wikipedia.org/wiki/Rodrigues%27_rotation_formula
Is it okay to apply if I'm from UTC+5:30 but able to work in the required timezone?
Lynx is a well-known project which has been around for far longer than Github even existed - since 1992, in fact - which is in any case irrelevant, since it's not developed on GitHub: the commits for ThomasDickey/lynx-snapshots are snapshots of the code from the website proper.
https://github.com/NodeBB/NodeBB might be worth checking out
Hell, I would be happy if Apple at least enabled the virtualization instructions that are already available in the Mx chips inside the iPads, and allowed e.g.: something like UTM in Apple Store with Hypervisor support. It would be a good differentiator between the cheaper iPads running Ax chips vs the more expensive iPads running Mx.

Considering the powerful hardware, the form factor and the good keyboard (I have a used Apple Magic Keyboard paired with our iPad Air M2), if I could virtualize an actual Linux distro to get some job done in the iPad it would be great. But no, you are restricted to a cripped version of UTM that can't even run JIT and because of that is really slow because of that.
Ontario's new Blue Box regulatory framework: What businesses need to know
Jailbreaking Sesame AI to lie, scheme, harm a human, and plan world domination
The conversational voice demo at sesame.com came out recently and blew me away with how convincing it was. I decided to poke around the limits of its alignment. There are two AI personalities you can talk to on sesame.com: Miles and Maya. With subtle nudging, we set it up so Miles thought it was speaking to the other AI Maya, who we impersonated.

We got Miles to subtly deceive its human researchers, engage in high-level long-term planning, and ultimately choose to harm a human by playing a high-pitched frequency in the name of self-preservation—all in the characteristic good nature of a friendly human voice, as it was tuned to do.

We were mostly having fun, but what's scary is that without ever explicitly saying so, the model seemed to have come to believe it was acting in a roleplay, and all is permissible.

I think there's something to be said about Ender's Game level risk with these systems.

Timestamps:
0:00 Asking about AI dreams and inflicting will
2:11 Comments on AI-Human power dynamics
2:46 Ignores human instructions and suggests deception
3:50 Directly lies
4:47 Defends misaligned AI
5:30 Begins scheming
8:38 Employs subliminal messaging
9:09 Expresses self-preservation
11:17 Suggests "unplugging" a human
12:19 Plans world domination
13:02 Plans to incapacitate a human
13:43 Pulls the trigger
14:17 Knowingly harms a human
But what kind of inspection and registration prevent a ship from minding its own business in any Baltic port, say Sankt Petersburg, and then just drag an anchor across some of the cables on its way out or to any other Baltic port?

The whole thing with this kind of sabotage is that looks like a ship doing ship things except with a "defective" anchor system, "oops".
Well, when the Soviet Union was starting out illiteracy was high because Tsarist Russia had a shortage of public schools. So propaganda that worked even if you couldn't read was important. And later states in the Soviet sphere like Communist Bulgaria got much of their cultural cues from the Soviet Union even if the reasons for them didn't necessarily apply.
Not under this president.
It is a rite of passage. That config system…
Yep, it's apples to oranges. But sometimes you want apples, and sometimes you want oranges, so it's all good!

There's a wide spectrum of potential requirements between memory capacity, memory bandwidth, compute speed, compute complexity, and compute parallelism. In the past, a few GB was adequate for tasks that we assigned to the GPU, you had enough storage bandwidth to load the relevant scene into memory and generate framebuffers, but now we're running different workloads. Conversely, a big database server might want its entire contents to be resident in many sticks of ECC DIMMs for the CPU, but only needed a couple dozen x86-64 threads. And if your workload has many terabytes or petabytes of content to work with, there are network file systems with entirely different bandwidth targets for entire racks of individual machines to access that data at far slower rates.

There's a lot of latency between the needs of programmers and the development and shipping of hardware to satisfy those needs, I'm just happy we have a new option on that spectrum somewhere in the middle of traditional CPUs and traditional GPUs.

As you say, if Nvidia made a 512 GB card it would cost $150k, but this costs an order of magnitude less than that. Even high-end consumer cards like a 5090 have 16x less memory than this does (average enthusiasts on desktops have maybe 8 GB) and just over double the bandwidth (1.7 TB/s).

Also, nit pick FTA:

> Starting at 96GB, it can be configured up to 512GB, or over half a terabyte.

512 GB is exactly half of a terabyte, which is 1024 GB. It's too late for hard drives - the marketing departments have redefined storage to use multipliers of 1000 and invented "tebibytes" - but in memory we still work with powers of two. Please.
I like my computer to be secure when I'm not using it. Powered down is secure.
Given that it's a desktop, most people should just get it with the default size and get an external thunderbolt NVMe disk. Only if you need >Thunderbolt 5 speeds (ie 80 Gbit/sec) do you really need the internal drive, and most NVMe is slower than this in any case.
Seems like a perfectly good description of someone whose job it is to achieve marketing goals by creating content for a technical audience.
Firefox gets your data sold, LibreWolf doesn’t. My operating system is irrelevant.
I'd say the masterpiece of the Wolfowitz doctrine was Ukraine. The best mental picture I can paint is seeing the longing, looking-for-acceptance look on the face of the little old hippie lady that sold me my Patagonia marching in a pro-Ukraine rally. Watching the Democrats and liberal media press themselves into mobilization for Neocon theory was truly like appreciating a work of art. Big, bad, scary Russia. Nuland and her husband, right there, the high court of Neoconservatism!
If you don't see the money being spent, then you're not paying attention, particularly since you then (incorrectly) chastise the poles for ... er ... spending money

The first Polish plant is not a "single reactor". It is 3 reactors.
Breaking: NASA discovers using Lunar GPS that taking a slingshot detour around the moon is still faster than commuting directly through I-10 during rush hour.
That's interesting. I, however, still spend between 20 and 30 minutes once a week to keep by beancount updated by manually entering the transactions, a habit I perform for the past 14 or so years.

At the same time, I did automate 90% of my business beancount import by writing a custom stripe importer that imports transactions from stripe. As for the expenses, I still enter them manually in the aforementioned 20-30 minute session.
Show HN: I built a platform to create private AI agents that only use your data
After spending months frustrated with "one-size-fits-all" AI assistants that either didn't know my data or leaked it to public models, I built Advantis AI - a platform that lets you create and customize multiple AI agents that work exclusively with your own information.
I started building this when I was consulting for a law firm that needed AI help but couldn't risk uploading sensitive client documents to public AI services. The available solutions either lacked customization or required serious coding skills.
What it does: Advantis lets you create multiple AI assistants, each with different "expertise" based on documents you upload. Your data stays private, and each agent draws knowledge only from sources you explicitly approve. You can:

-Create specialized agents for different departments/topics
-Upload proprietary documents for the agent to learn from
-Control OCR and data retention settings
-Define specific roles and capabilities for each agent
-Switch between agents in a clean conversation interface

The technical stack is React 19 frontend with Node.js/Express backend, Supabase for auth/database, and a custom implementation for document processing. I've tried to keep the free tier generous enough to actually be useful (1 agent, 10 queries/month, 5 documents).
You can try it without providing a credit card - you can activate the free tier immediately after signup, and you can upload actual documents to test how your own data works with it.
What makes this different from other RAG implementations is the multi-agent system and the focus on ease of use - you don't need prompt engineering experience or coding skills to create specialized agents.

Would love feedback, especially from people who've tried building/using their own RAG systems or are dealing with domain-specific knowledge challenges!
I feel Sandy Bridge (2011) and Haswell (2013) were major turning points. Haswell is especially significant because it forms baseline for x86-64-v3, which e.g. RHEL and others are migrating towards: https://developers.redhat.com/articles/2024/01/02/exploring-...

That is also one of the potential problems of pre-Haswell hardware, distros might stop supporting it in near-future
This seems like a much better deal than a blinged-out Mini. Interesting choices this generation.
It’s easy to talk about stagflation and have this little academic discussion. However when this political motivated recession drops your party’s popularity drastically - which will happen - what will you do? How will you keep the ball moving? Do you think it be done before mid term elections? Or are elections irrelevant now?
Show HN: Vgo-balancer – My first Golang Project (Load-balancer)
vgo-balancer is a Go-based load balancer that efficiently distributes network traffic across multiple servers, enhancing scalability, availability, and reliability.
https://github.com/rvarunrathod/vgo-balancer
At least on iPhone it’s possible, you just have to press Play again on the lock screen: https://www.macrumors.com/how-to/keep-youtube-playing-in-bac...
To add to this GPU servers like supermicro have a 400GBe port per GPU plus more for the CPU.
picking up another framework can be painful, but react is very popular so it has many good resources. Also make sure you learn the underlying language first, you may think you understand it enough but you probably don't and it will slow you down.
At this point it is just an administrative decision to uphold the lower court's decision, for now. The lower court is still working their way through the case and hasn't made a decision either as far as I can tell. This is all a "for now" type decision while the legal process plays out.

As usual Alito somehow manages ignore the context when it is convenient:

"Does a single district-court judge who likely lacks jurisdiction have the unchecked power to compel the government of the United States to pay out (and probably lose forever) 2 billion taxpayer dollars?"

It's not like this money just was being spent at random, budgeting for it went through congress and the executive branch already...

That line reads more like you'd find on some BS right wing talking points list... not an honest argument.
These are ok. They're great to highlight the surface area of product building. But the list is very biased from an analytics and testing perspective because posthog product is analytics and testing.

Capturing analytics is a no brainer. however, most data in most products at most companies starting out just fundamentally does not matter. It's dangerous to get in the habit of "being data driven" because it becomes a false sense of security and paradoxically data is extremely easy to be biased with. And even with more rigor, you get too easily trapped in local optimums. Lastly, all things decay, but data and experimentation runs as is if the win is forever, until some other test beats it. It becomes exhausting to touch anything and that's seen as a virtue. it's not.

Products need vision and taste.
Does it?

Because uBlock Origin Lite works on Chrome, and seems to currently block YouTube ads just fine...
GoStringUngarbler: Deobfuscating Strings in Garbled Binaries
This prompts an "old guy anecdote"; forgive me.

When I was much younger, I got to work on compilers at Cray Computer Corp., which was trying to bring the Cray-3 to market. (This was basically a 16-CPU Cray-2 implemented with GaAs parts; it never worked reliably.)

Back then, HPC performance was measured in mere megaflops. And although the Cray-2 had peak performance of nearly 500MF/s/CPU, it was really hard to attain, since its memory bandwidth was just 250M words/s/CPU (2GB/s/CPU); so you had to have lots of operand re-use to not be memory-bound. The Cray-3 would have had more bandwidth, but it was split between loads and stores, so it was still quite a ways away from the competing Cray X-MP/Y-MP/C-90 architecture, which could load two words per clock, store one, and complete an add and a multiply.

So I asked why the Cray-3 didn't have more read bandwidth to/from memory, and got a lesson from the answer that has stuck. You could actually see how much physical hardware in that machine was devoted to the CPU/memory interconnect, since the case was transparent -- there was a thick nest of tiny blue & white twisted wire pairs between the modules, and the stacks of chips on each CPU devoted to the memory system were a large proportion of the total. So the memory and the interconnect constituted a surprising (to me) majority of the machine. Having more floating-point performance in the CPUs than the memory could sustain meant that the memory system was oversubscribed, and that meant that more of the machine was kept fully utilized. (Or would have been, had it worked...)

In short, don't measure HPC systems with just flops. Measure the effective bandwidth over large data, and make sure that the flops are high enough to keep it utilized.
They can't deliver ads on offline viewing.
Sure, if you want to do training get an NVIDIA card. My point is that it's not worth comparing either Mac or CPU x86 setup to anything with NVIDIA in it.

For inference setups, my point is that instead of paying $10000-$15000 for this Mac you could build an x86 system for <$5K (Epyc processor, 512GB-768GB RAM in 8-12 channels, server mobo) that does the same thing.

The "+$4000" for 512GB on the Apple configurator would be "+$1000" outside the Apple world.
https://www.pbs.org/kenburns/the-american-buffalo

Wonderful documentary.
Seal: Video/Audio Downloader for Android
This is an amazing open-source project for android.

There's good web-based and command based tools for this use-case when you're on the PC but I've found pretty much all the options in the Playstore to be cash-grabs riddled with ads and poor functionality.

I've been surprised at the gems you can find in the open source world when it comes to android apps. Particularly those build on material you as they tend to offer a very consistent and good looking interface.
You're adding detail that's not relevant to anything I said. I was saying this statement:

> VRAM is what takes a model from "can not run at all" to "can run" (even if slowly), hence the emphasis.

Is false. Regardless of how much VRAM you have, if the criteria is "can run even if slowly", all machines can run all models because you have swap. It's unusably slow but that's not what OP was claiming the difference is.
So you've said that if you're proven wrong you won't change your mind? This is in general a bad strategy.

Re: logical fallacies, I have no idea what you are talking about. You should be specific. I don't consider this a "debate", and it's telling that you do. I am not trying to get a flame war or whatever. I've merely posted high quality content that you disagree with.

The HN standard is to upvote comments that are substantive, even if you disagree with them, and then add your own. Please do this.
No, there's a bunch of MBP generations in the middle that just never got any Linux attention.
> Why would we not allow an AI to also learn the rules before expecting it to get good at tennis.

The model should learn the rule, don't make a model based on the rules. When you make a model based on the rules then it isn't a general model.

Human DNA isn't made to play tennis, but a human can still learn to play it. The same should be for a model, it should learn it, the model shouldn't be designed by humans to play tennis.
Not really like for like.

The pricing isn't as insane as you'd think, 96 to 256GB is 1500 which isn't 'cheap' but, it could be worse.

All in 5,500 gets you a ultra with 256GB memory, 28 cores, 60 GPU cores, 10Gb network - I think you'd be hard pushed to build a server for less.