MurphyA/hacker-news huggingface dataset:
by zerosizedweasle | 2025-11-14 15:55:58+00:00
I said this earlier but: It's interesting to see the market try to do anything to rally. The problem is you guys are rallying on the thought that you've scared the Fed into cutting rates, but actually by rallying you short circuit it. You ensure they won't cut. And that's how the market's lillypad hopping thinking is actually just stupidity. You rallied, so now there are no rate cuts so the crash will be even more brutal.

Edit: They're trying to do everything they can to stop people from seeing this lol

Edit 2: Specifically trying to stop people from seeing this:

Yeah for sure but -

'It’s impossible to quantify how much cash flowed from OpenAI to big tech companies. But OpenAI’s loss in the quarter equates to 65% of the rise in underlying earnings—before interest, tax, depreciation and amortization—of Microsoft, Nvidia, Alphabet, Amazon and Meta together. That ignores Anthropic, from which Amazon recorded a profit of $9.5 billion from its holding in the loss making company in the quarter' - WSJ

Their earnings growth is their own money that they gave to OpenAI.

You have that waiting in the wings.
by casey2 | 2025-11-14 15:56:00+00:00
It's just a scam, plain and simple. Some scams can go on for a very long time if you let the scammers run society.

Any technically superior solution needs to have a built in scam otherwise most followers will ignore it and the scammers won't have incentive to prosthelytize, e.g. rusts' safety scam.
by slightwinder | 2025-11-14 15:56:03+00:00
> The problem is more one of scale:

I think the source is the bigger problem. If they take the water from sources which are already scarce, the impact will be harsh. There probably wouldn't be any complaints if they would use sewerage or saltwater from the ocean.

> Also, it's pretty easy to recycle the data center water, since it just has to cool

Cooling and returning the water is not always that simple. I don't know specifically about datacentres, but I know about wasting clean water in other areas, cooling in power plants, industry, etc. and there it can have a significant impact on the cycle. At the end it's a resource which is used at least temporary, which has impact on the whole system.
by HarHarVeryFunny | 2025-11-14 15:56:33+00:00
Assuming you want to define the goal, "AGI", as something functionally equivalent to part (or all) of the human brain, there are two broad approaches to implement that.

1) Try to build a neuron-level brain simulator - something that is a far distant possibility, not because of compute, but because we don't have a clear enough idea of how the brain is wired, how neurons work, and what level of fidelity is needed to capture all the aspects of neuron dynamics that are functionally relevant rather than just part of a wetware realization

OR

2) Analyze what the brain is doing, to extent possible given our current incomplete knowledge, and/or reduce the definition of "AGI" to a functional level, then design a functional architecture/implementation, rather than neuron level one, to implement it

The compute demands of these two approaches are massively different. It's like the difference between an electronic circuit simulator that works at gate level vs one that works at functional level.

For time being we have no choice other than following the functional approach, since we just don't know enough to build an accurate brain simulator even if that was for some reason to be seen as the preferred approach.

The power efficiency of a brain vs a gigawatt systolic array is certainly dramatic, and it would be great for the planet to close that gap, but it seems we first need to build a working "AGI" or artificial brain (however you want it define the goal) before we optimize it. Research and iteration requires a flexible platform like GPUs. Maybe when we figure it out we can use more of a dataflow brain-like approach to reduce power usage.

OTOH, look at the difference between a single user MOE LLM, and one running in a datacenter simultaneously processing multiple inputs. In the single-user case we conceptualize the MOE as saving FLOPs/power by only having one "expert" active at a time, but in the multi-user case all experts are active all the time handling tokens from different users. The potential of a dataflow approach to save power may be similar, with all parts of the model active at the same time when handling a datacenter load, so a custom hardware realization may not be needed/relevant for power efficiency.
by FullyFunctional | 2025-11-14 15:57:12+00:00
Backwards. The incompetent Transmeta board picked a VP from NVIDIA to be the CEO and his first action was to kill the IBM contract and move to TSMC, and forced TSMC to use a new unqualified process. This left us without chips to sell for over a year and notebook venders were furious and never returned.

This is what killed Transmeta, not all the technical details.
by AJ007 | 2025-11-14 15:57:17+00:00
Maybe I'm going too far from the tipping point of "this is easy" when it actually isn't, but the ability to clone an open source project now, modify some part of it, and then compile it locally seems like the future. This is almost trivial to do now.

Why not do the same for the web?

Without going off on a rant about all of the user hostile bullshit that's being shoved down our throats right now, I think one inevitable outcome of AI is that users are going to need to have defensive local AI agents protecting them and fact checking data. This is the trojan horse for the big tech companies that rely on ad revenue and dark patterns to manipulate their users: if they provide the AI agents, they will be obviously inferior and not super-intelligent, just like when Google's early public image-gen model was making image of ethnically and gender diverse nazi soldiers, etc.
by lo_zamoyski | 2025-11-14 15:57:23+00:00
Also Time magazine.

It's not uncommon to hear from people who lived behind the Iron Curtain how propagandistic American media is. If anything, it's less coarse than the Soviet variety.

So, two reasons:

1. The more conspicuous varieties of manipulation in the Soviet Union and elsewhere sensitized people to the existence of such manipulation everywhere else, even in subtler and more insidious forms.

2. The classic "fish don't know what water is": what Americans can't see, because they were raised from birth and marinating in it, foreigners can spot more readily by contrast.

And because the US was effectively a sort of godfather and guardian of countries west of the Iron Curtain following the War, it had a lot of pull with the media in those countries and cooperated with the appropriate people to promote and cement the Pax Americana.
by zgk7iqea | 2025-11-14 15:57:40+00:00
Firefox is dead. You need an insurmountable amount of configuration to even make it bearable and there is non-user respecting settings and telemetry everywhere. Ads, too. It's not something you can recommend, every site is broken and Mozilla rather likes to spend it's money on [1] discouraging human translators and [2] giving people free coffee on "Browser Raves" in Berlin instead. It's a shadow of its former self.

[1] https://support.mozilla.org/en-US/forums/contributors/717446

[2] https://www.instagram.com/p/DPn_Re5AAkN/
by RansomStark | 2025-11-14 15:58:04+00:00
Use openwebui with ollama.

Openwebui is compatible with the firefox sidebar.

So grab ollama and your prefered model.

Install openwebui.

Connect openwebui to ollama

Then in firwdox open about:config

And set browser.ml.chat.provider to your local openwebui instance

Google suggests the you might also need to set browser.ml.chat.hideLocalhost to false. But i dont remember having to do that
by mvkel | 2025-11-14 15:58:15+00:00
Anthropic was very excited to post this, as it serves them well in slowly crawling away from their mission to "solve alignment."

They know it can't be done (alignment in one value/state/religion is oppression in another), but also know it's a brand differentiator.

They also know they can't raise more billions if their sole source of meaningful revenue is a coding agent.
by arconis987 | 2025-11-14 15:58:21+00:00
would like to see work like this, but for datasets in the hundreds of TB or single-digit PB

but i definitely agree about this point

> Cluster fatigue is real

imo, the concept of “extremely ephemeral query workers” is under-explored

stateless, maintenance-free, burstable fleets of query workers is what I would like to see more of in the future.

it’s how we do it, and it gives us full-text search on multi-hundred terabyte data sets in S3, where queries finish in a handful of seconds. our approach: https://docs.scanner.dev/scanner/what-and-why/how-it-works/h...

anyone else doing ephemeral query workers fleets?
by luhego | 2025-11-14 15:59:03+00:00
If you don’t mind learning another language. I have found Learn Concurrent Programming with Go by James Cutajar to be a very practical book. It includes memory sharing and message passing approaches with plenty of examples. It also explains concepts like mutual exclusion, deadlock-free and starvation-free properties and others. For Java, you can try The Art of Multiprocessor Programming Second Edition. It includes examples in Java but it is more theoretical and it includes a lot of proofs, specially the first half. The second half is more approachable.
by toomuchtodo | 2025-11-14 15:59:36+00:00
It was a sloppy statement, but is broadly speaking, true. For overwhelming citations, https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu... (HN Search of posts from Matt Stoller's BIG Newsletter, which focuses on corporate monopolies and power in the US).

https://www.thebignewsletter.com/about

> The Problem: America is in a monopoly crisis. A monopoly is, at its core, a private government that sets the terms, services, and wages in a market, like how Mark Zuckerberg structures discourse in social networking. Every monopoly is a mini-dictatorship over a market. And today, there are monopolies everywhere. They are in big markets, like search engines, medicine, cable, and shipping. They are also in small ones, like mail sorting software and cheerleading. Over 75% of American industries are more consolidated today than they were decades ago.

> Unregulated monopolies cause a lot of problems. They raise prices, lower wages, and move money from rural areas to a few gilded cities. Dominant firms don’t focus on competing, they focus on corrupting our politics to protect their market power. Monopolies are also brittle, and tend to put all their eggs in one basket, which results in shortages. There is a reason everyone hates monopolies, and why we’ve hated them for hundreds of years.

https://blogs.cornell.edu/info2040/2021/09/17/graph-theory-o... (Food consolidation)

https://followthemoney.com/infographic-the-u-s-media-is-cont... (Media consolidation)

https://www.kearney.com/industry/energy/article/how-utilitie... (US electric utilities)

https://aglawjournal.wp.drake.edu/wp-content/uploads/sites/6... [pdf] (Agriculture consolidation)

https://www.visualcapitalist.com/interactive-major-tech-acqu... (Big Tech consolidation)
by m0llusk | 2025-11-14 15:59:43+00:00
This idea that there is only one story and one path is pernicious. Paul Orfalea flunked out of school and couldn't hold a job, so instead he built a business that he later sold for around five billion. His book Copy This! is loaded with interesting and potentially useful stories. His is not the most common story but is an example of great business success being unrelated to either identified genes or familial wealth.
by Aransentin | 2025-11-14 16:00:18+00:00
I'm more unhappy than happy, as there are plenty of points about the very real bad side of AI that are hurt by such delusional and/or disingenuous arguments.

That is, the topic is not one where I have already picked a side that I'd like to win by any means necessary. It's one where I think there are legitimate tradeoffs, and I want the strongest arguments on both sides to be heard so we get the best possible policies in the end.
by runjake | 2025-11-14 16:00:39+00:00
Minor point: I read this as OS/2. The author may want to correct that. macOS naming and versioning is confusing enough.

macOS was never known as OS/X. It was formerly known as OS X and Mac OS X.

As a former OS/2 user, it really threw me off for a second.

Also, you're using a trademark ("Winamp") in the name. So, expect a C&D from Llama Group or whomever.

Aside from that, it looks really nice and well-designed! And it's in Swift and not some janky Electron app. Good job on those fronts!
by zerosizedweasle | 2025-11-14 16:00:46+00:00
Yeah for sure but:

'It’s impossible to quantify how much cash flowed from OpenAI to big tech companies. But OpenAI’s loss in the quarter equates to 65% of the rise in underlying earnings—before interest, tax, depreciation and amortization—of Microsoft, Nvidia, Alphabet, Amazon and Meta together. That ignores Anthropic, from which Amazon recorded a profit of $9.5 billion from its holding in the loss making company in the quarter' - WSJ

Their earnings growth is their own money that they gave to OpenAI.

You have that waiting in the wings.
by natnatenathan | 2025-11-14 16:00:51+00:00
The reason I don't want AI integrated into my browser (or really anything else) is that the mental model for big tech moved from "providing value" to "capturing value" about 15 years ago, and I expect they will try to use this integration in an attempt to build a layer between the customer and all downstream services (stores, banks, information) so they can extract some form of tax on every transaction (ads, micro-fees), all while consolidating data about me to create new sources of revenue. I am one of those 'bright minds' who has wasted their talent improving marketing conversion by 0.001% instead of working to cure cancer. (Let's be honest, improvements are way better than 0.001%, I am good at my job).
by sys32768 | 2025-11-14 16:01:46+00:00
And the evidence is...a claim by an Italian writer who heard it from a former Bosnian intel officer who heard it from...

But this does remind me of that excellent docu-series The Line about members of a Navy SEAL platoon who accused their chief of war crimes.

https://tv.apple.com/us/show/the-line/umc.cmc.4u53f7zokr7g40...
by JohnFen | 2025-11-14 16:01:48+00:00
> "You've now got AI systems that can go in and explore your entire digital footprint - your entire online persona, from your social media interests to what you've been engaging in.

> "That level is far deeper than it was previously, and that's when you start to build a picture understanding that individual, so whether they're happy, whether they're sad, or what personal situation they're going through."

Good lord. "Creepy slop" would be infinitely preferable to this crap.
by GMoromisato | 2025-11-14 16:02:49+00:00
This is obviously subjective, but I think both AI and space launch are hugely important technologies.

AI unlocks a new class of automation that will lead to productivity increases. In some cases, it literally saves lives, as Waymo-class autonomous vehicles are much safer than human drivers.

Cheap space launch unlocks LEO constellations like Starlink, which Europe is already trying to build. Even without fanciful uses like space datacenters and asteroid mining, access to space gives us a host of communications, imaging, and location services.
by pwdisswordfishs | 2025-11-14 16:03:03+00:00
> This is just a puff piece profile of chris lattner

It's actually not. But it is exactly the sort of low-effort-high-volume junk that Medium "bloggers" became known for churning out and ultimately resulted in large swathes of the thinking public putting Medium in the same mental bucket as Quora.

A process that is now repeating with Substack.

Only this time with more LLMs (in two ways: use of and content about).
by plufz | 2025-11-14 16:03:16+00:00
> Corn, potatoes and wheat are important maybe even oranges, but we could live with a lot less alfalfa and almonds. Both alfalfa and almonds contain a lot of nutrients you dont find in large enough amounts (or at all) in corn and potatoes though. And alfalfa improves the soil but fixating nitrogen. Sure almonds require large amounts of water. Maybe alfalfa does as well? And of course it depends on if they are grown for human consumption or animal.
by data-ottawa | 2025-11-14 16:03:18+00:00
Even when I do try them I find myself let down.

I don’t know what version of Gemini they’re stuffing into Google products, but sheets, docs, and colab/data science agent are all bad experiences.

If you aren’t putting something comparable to good paid models into your product then don’t bother putting that feature out.

Once you train your users that your ai is half baked junk they’re not coming back to waste their time with it. It’s 10x as frustrating than regular product failures.
by gspencley | 2025-11-14 16:03:27+00:00
ML has been around for ages. Email spam filters are one of the oldest examples.

These days when the term "AI" is thrown around the person is usually talking about large language models, or generative adversarial neural networks for things like image generation etc.

Classification is a wonderful application of ML that long predates LLMs. And LLMs have their purpose and niche too, don't get me wrong. I use them all the time. But AI right now is a complete hype train with companies trying to shove LLMs into absolutely anything and everything. Although I use LLMs, I have zero interest in an "AI PC" or an "AI Web Browser" any more than I have a need for an AI toaster oven. Thank god companies have finally gotten the message about "smart appliances." I wish "dumb televisions" were more common, but for a while it was looking like you couldn't buy a freakin' dishwasher that didn't have WIFI and an app and a bunch of other complexity-adding "features" that are neither required or desired by most customers.
by dredmorbius | 2025-11-14 16:03:55+00:00
Biometrics might be useful in establishing a (PKI) key, but are not suitable for the key itself.

"Something you have" is far more useful, especially if that something is itself cryptographically-based. Yubikeys, RSA fobs (generating one-time codes), and wearable NFC tokens (rings, amulets), and the like, which may be autheticated in part based on biometrics and other attestation, but are themselves revokable, would be a far better standard.

What the General Public can be expected to utilise willingly and effectively seems to be the larger problem, as well as what commercial and governmental standards are established.
by GuB-42 | 2025-11-14 16:03:57+00:00
I am not against AI in Firefox. The thing is "what AI".

For example, translation can be considered AI, and I find it very useful, it is local too. Other AI features that could be nice would be speech-to-text, text-to-speech, advanced spellchecking, text autocomplete, etc... Bonus points if local models are used. I also see nothing wrong with having a "ask a LLM" entry in the right click menu like you have search, I think it is a common enough thing for people to do.

The problem with many AI features in software is that they serve no purpose besides "hey look, we have AI". Usually in the form of some button or text field that is always visible and does nothing more than prompt a poorly tuned LLM.
by jmadeano | 2025-11-14 16:04:00+00:00
That's the goal! This whole project started because I was originally just asking ChatGPT to write userscripts. For generic ones, it was okay, but the feedback loop was slow: I had to save the page archive, manually feed it to LLM, write a detailed prompt, generate a script (that probably didn't work initially), and then repeat that process until I was happy.

Now I can do that all in seconds (and iterate just as quickly). I also love the ability to easily share scripts I made with friends. Hopefully it's useful for you!
by PaulHoule | 2025-11-14 16:04:33+00:00
I am looking out my window at a new Computing and Information Science building

https://mastodon.social/@UP8/115500560220694978

and they merged the Computer Science, Information Science and Data Science programs into one big department that enrolls 2000+ students

https://milestones.cis.cornell.edu/

So it is definitely something a lot of people are going into and a person who doesn't want to face a bubble pop might consider something else. One good thing at Cornell is that we have a data science minor that anybody can take. I went to a talk by an English professor for instance who applies quantitative methods and data visualization to literary criticism.
by glenstein | 2025-11-14 16:04:47+00:00
This is the fictional hallucination that somehow makes it into every comment section about Mozilla. So let's go through the facts one more time:

(1) They spend more on browser development now than they ever have in their history even after adjusting for inflation.

(2) The majority of things claimed to be "money sinks" don't actually cost that much or siphon resources away from core browser development with some exceptions (we'll get to those).

(3) The market share losses happened from 2010-2015, the side bets era is approximately 2020-2025. The side bets didn't retroactively cause the market share losses.

(4) The narrative that a failure to keep up/push new features drove market share losses paints a picture that's entirely zoomed in on Mozilla and ignores Google leveraging its search and mobile monopolies to muscle its browser onto the map, which likely would have happened regardless of how good Firefox was.

(5) The narrative that the browser was broken and behind is somewhat outdated - it was true in the market share loss era, but then they did the dang thing and launched a major engineering effort, fundamentally rebuilt the major parts of the browser via Project Quantum, a monumental engineering transformation that delivered speed and stability, the thing everyone asked for. It's obviously not perfect, but in terms of performance and stability its certainly good enough to be a daily driver in most cases and not in a state of tragic disrepair.

(6) Despite it being supposedly so obvious, no one can explain what missing browser feature they can add that will restore all their market share overnight.

That said, yes, there are bad things: the dabbling in adtech is bad imo ("privacy preserving ads" seems to be category error), dabbling with AI doesn't seem to have an obvious point in its current iteration, Pocket was understandable as a revenue grower but seems have been a wash and annoyed users and they didn't bother to maintain it, Mozilla nonprofits broader advocacy for privacy seems to be confusing some people, and Firefox OS genuinely did seem to have cost engineering resources at a time that they lost market share. That said, I would love if there was a 10 year old Firefox OS project right now given Google's pushing of developer certification.

So, yes, there's stuff I don't love. I don't feel like this iteration of Mozilla has the innovative spirit of, say, Opera back in its heyday, and it's not as polished as Chrome. But the comment section rhetoric has spilled over into fever dream territory and not is even pretending to map onto any coherent historical timeline, factual record, or story of cause and effect, and often contradictory in its declaration of demands.