MurphyA/hacker-news huggingface dataset:
by cosmicgadget | 2025-11-06 17:34:44+00:00
Imho it is more likely that he is using it to consolidate a voting bloc. Much like how all the partisan propaganda in the US of civil war convinced right wingers to rally around Trump and left wingers to not take it seriously. If you think that they will try to overthrow your way of life, you'll simultaneously announce you are prepared to defend yourself and - more importantly - you'll vote for whatever resembles your way of life.

Elon doesn't profit from chaos, he is just using psychological manipulation to empower his allies.
by throwway120385 | 2025-11-06 17:34:48+00:00
Look, I'm just trying to represent as best I can the sentiment that drives a lot of this regression to how things were in the early part of the 20th century. I agree completely the depression sucked. My grandparents on both sides lived through it and you could see how much it sucked in the habits they cultivated. You'll get no argument from me.
by jmdeon | 2025-11-06 17:34:56+00:00
I don't think this is the argument you want it to be, unless you're acknowledging the power of the Chinese government and their ability to suppress and destroy evidence. Even so there is photo evidence of dead civilians in the square. The best estimates we have are 200-10,000 deaths, using data from Beijing hospitals that survived.

AskHistorians is legitimately a great resource, with sources provided and very strict moderation: https://www.reddit.com/r/AskHistorians/comments/pu1ucr/tiana...
by Havoc | 2025-11-06 17:35:04+00:00
There is certainly some concern around what is effectively a giant bet but I’m finding Gary’s aggressive doomer takes a little tiresome lately. Just like Sam can’t know for sure that the bet will work, Gary can’t know it won’t. Conviction levels should reflect that

Every startup begins with lots of debt and little revenue and a all in bet that it’ll change. Sam’s company unsurprisingly follow same playbook
by wizzwizz4 | 2025-11-06 17:35:20+00:00
When I see announcements that say "we used a language model for X, and got novel results!", I play a little game where I identify the actual function of the language model in the system, and then replace it with something actually suited for that task. Here, the language model is used as the mutation / crossover component of a search through the space of computer programs.

What you really want here is represent the programs using an information-dense scheme, endowed with a pseudoquasimetric such that semantically-similar programs are nearby (and vice versa); then explore the vicinity of successful candidates. Ordinary compression algorithms satisfy "information-dense", but the metrics they admit aren't that great. Something that does work pretty well is embedding the programs into the kind of high-dimensional vector space you get out of a predictive text model: there may be lots of non-programs in the space, but (for a high-quality model) those are mostly far away from the programs, so exploring the neighbourhood of programs won't encounter them often. Because I'm well aware of the flaws of such embeddings, I'd add some kind of token-level fuzzing to the output, biased to avoid obvious syntax errors: that usually won't move the embedding much, but will occasionally jump further (in vector space) than the system would otherwise search.

So, an appropriate replacement for this generative language model would be some kind of… generative language model. Which is why I'm impressed by this paper.

There are enough other contributions in this paper that slotting a bog-standard genetic algorithm over program source in place of the language model could achieve comparable results; but I wouldn't expect it to be nearly as effective in each generation. If the language model is a particularly expensive part of the runtime (as the paper suggests might be the case), then I expect it's worth trying to replace it with a cruder-but-cheaper bias function; but otherwise, you'd need something more sophisticated to beat it.

(P.S.: props for trying to bring this back on-topic, but this subthread was merely about AI hype, not actually about the paper.)

Edit: Just read §3.2 of the paper. The empirical observations match the theory I've described here.
by behole | 2025-11-06 17:35:24+00:00
Also, currently have a ton of MMR, Punk Planet and HeartAttack. These were far and away the "bigs". I am really hunting for more underground stuff. Back in the day (I am old) we had a physical zine library in our punk house and it was a treasure!! My goal is to connect later to institutions via IIIF (Pratt, Barnard, Brown, RISD) and other institutional databases. Hunting up Burn Collector and Cometbus currently.
by kevindamm | 2025-11-06 17:35:50+00:00
This was, I think, the greatest strength of MapReduce. If you could write a basic program you could understand the map, combine, shuffle and reduce operations. MR and Hadoop etc. would take care of recovering from operational failures like disk or network outages by idempotencies in the workings behind the scenes, and programmers could focus on how data was being transformed, joined, serialized, etc.

To your point, we also didn't need a new language to adopt this paradigm. A library and a running system were enough (though, semantically, it did offer unique language-like characteristics).

Sure, it's a bit antiquated now that we have more sophisticated iterations for the subdomains it was most commonly used for, but it hit a kind of sweet spot between parallelism utility and complexity of knowledge or reasoning required of its users.
by rogerbinns | 2025-11-06 17:35:54+00:00
Heap allocation does also allow other things. For example stack frames (PyFrame) are also heap allocated. When there is an exception, the C stack gets unwound but the heap allocated frames are retained forming the traceback. You can then examine the values of the local variables at each level of the traceback.

And it also allows async functions, since state is held off the C stack, so frames can be easily switched when returning to the event loop.

The other thing made easy is C extension authoring. You compile CPython without free lists and an address sanitizer, and getting reference counting wrong shows up.
by oskarkk | 2025-11-06 17:36:03+00:00
I think India is a bad example. It's very densely populated, with high density in most of the country, and as such it's not a good target market for Starlink.

See for yourself: https://luminocity3d.org/WorldPopDen

India has 1.4B people on 3 million km^2, Africa has 1.4B people on 30 million km^2 (out of which 9 million is Sahara).

Starlink's use case is low population density areas, and Africa has plenty of those. Very different case from India.
by Night_Thastus | 2025-11-06 17:36:06+00:00
I don't really feel that's a fair analysis of either the brand or hybrids in general and paints in too broad of strokes.

But regardless, If someone really wants a sporty car, they can get a sporty car. The vast majority of car buyers don't really care. They care about things like space, comfort, features, and monthly payment.
by hitekker | 2025-11-06 17:36:09+00:00
Yes, he was free to express his bigotry once he stepped down. Before that, Patrick was the leader and he hated non-memory-safe languages. He was not the only one, and that hate got worse after he left.

It's nice you got tacos with Zig's BDFL and I don't categorize you as a "hater". Rather, I think the Rust Core Group altogether was toxic. Unable to see their hate as hate, and having memories largely selective and largely untrustworthy.
by runjake | 2025-11-06 17:36:41+00:00
Maybe, but the subpoena doesn't shed light on what they are being investigated for. It is only demanding information.

The FBI could be investigating them for archive.today, they could be investigated because of that apparent botnet, they could be investigating them because some billionaire media mogul friend of the current POTUS is outraged at the loss of revenue. To the best of my knowledge, the reasons aren't public.

Still, it doesn't mean we shouldn't be asking questions or expressing concern over this.
by CamperBob2 | 2025-11-06 17:36:43+00:00
It's an MoE model, so it might not be that bad. The deployment guide at https://huggingface.co/moonshotai/Kimi-K2-Thinking/blob/main... suggests that the full, unquantized model can be run at ~46 tps on a dual-CPU machine with 8× NVIDIA L20 boards.

Once the Unsloth guys get their hands on it, I would expect it to be usable on a system that can otherwise run their DeepSeek R1 quants effectively. You could keep an eye on https://old.reddit.com/r/LocalLlama for user reports.
by Honga | 2025-11-06 17:37:23+00:00
They also have something like a 2 month ban on playing elsewhere after you DJ for them. And it doesn't seem like the pay is great to compensate. The upside is exposure, because their lineups are phenomenal and consistent, You don't really have to go there for the music, it's guaranteed to be good.

https://www.scribd.com/document/639992014/Untitled#:~:text=R...
by jerf | 2025-11-06 17:38:02+00:00
Erlang operates on a higher level, with much, much larger chunks. Any sensible modern system will, for instance, have some sort of execution context (thread/green thread/continuation/task/whatever) associated with a single incoming HTTP request. That's very nice, and not going anywhere.

However Erlang has very little to say about parallelization of loops, or in the levels between a single loop and a HTTP request.

Nor would it be a good base for such things; if you're worried about getting maximum parallel performance out of your CPUs you pretty much by necessity need to start from a base where single-threaded performance is already roughly optimal, such as with C, C++, or Rust. Go at the very outside, and that's already a bit of a stretch in my opinion. BEAM does not have that level of single-threaded performance. There's no point in making what BEAM does fully utilize 8 CPUs in this sort of parallel performance when all that does is get you back to where a single thread of Rust can run.

(I think this is an underappreciated aspect of trying to speed things up with multiple CPUs. There's no point straining to get 8 CPUs running in some sort of complicated perfect synchronization in your slow-ish language when you could just write the same thing in a compiled language and get it on one CPU. I particularly look at the people who think that GIL removal in Python is a big deal for performance and wonder what they're thinking... a 32-core machine parallelizing Python code perfectly, with no overhead, might still be outperformed by a single-core Go process and would almost certainly be beated by a single-core Rust process. And perfect parallelization across 32 cores is a pipe dream. Unless you've already maxed out single-core performance, you don't need complicated parallelization, you need to write in a faster language to start with.)
by zahlman | 2025-11-06 17:39:03+00:00
> Wikipedia is somewhat ok, but it also misses a TON of stuff, and unfortunately it only has one primary view, whereas many things need some explanation before one can understand it.

Last I checked, they had archive.is blacklisted; the people with power there had (as far as I can tell) come to the conclusion that people using that site to prove that websites had stated X on date Y were the bad guys. Of course, they still have archive.org sources everywhere, so the objection is not actually to archiving page content.

Tons of claims also seem to be sourced ultimately to thinly-disguised promotional material (e.g. claims of the prevalence of a problem backed up by the sites of companies offering products to combat the problem) and opinion pieces that happen to mention an objective (but not verified) claim in passing.
by niceguy1827 | 2025-11-06 17:39:04+00:00
I've seen somebody on Reddit using LoRa stuff for the home.

The problem with these wifi based sensors is that you eventually run out of IP addresses (yes you could get fancy with subnet setup but still). Another problem is that at some point you might want to swap routers -- I had to swap out a faulty Netgear router, and the re-set was a major PITA. For these reasons I've been moving to Zigbee.
by wat10000 | 2025-11-06 17:39:16+00:00
"Imagine"?

It is indeed not that extreme, but sometimes it feels pretty close. It is hard to find entertainment that isn't tedious and predictable. The public seems to eat up rationalizations for bad behavior which are obvious nonsense.

I'm happy at work because I'm surrounded by people smarter, more motivated, and more conscientious than I am. Outside of work, well, some days I dream that Anderson's Brain Wave would come true, the Earth would move out of some magical interstellar intelligence-suppressing field, and everyone's IQ would quintuple overnight.
by Alex2037 | 2025-11-06 17:39:26+00:00
the current LLMs are trivial to jailbreak without an additional layer of censorship that cloud models implement via a second pass over their own output (and, dystopically, erasing their incomplete output right in front of the user's eyes when wrongthink is detected). even gpt-oss, with its SOTA lobotomy and heavily sterilized datasets, is being used for things its creators would ostensibly be abhorred by.
by marcosdumay | 2025-11-06 17:39:52+00:00
> you can just turn solar off

Somebody has to go and turn it off, and having this person available overwhelms all of your operational costs.

Or alternatively, you need the infrastructure to do it automatically, what is currently expensive. (But there aren't intrinsic reasons for that being expensive, it's probably due to lack of scale.)

If it's just slightly negative, or just rarely so, it's not worth it.
by simonw | 2025-11-06 17:40:21+00:00
18 months ago to 6 months ago was indeed a busy period - both multimodal image input and reasoning models were rare at the start of that time period and common by the end of it.

Comparing a 12 month period to a 6 month period feels unfair to me though. I think we will have a much fuller picture by the end of the year - I have high expectations for the next wave of Chinese models and for Gemini 3.
by foldr | 2025-11-06 17:40:33+00:00
Almost all of those startups fail. Doomerism is the objectively correct outlook on any given startup in the absence of strong countervailing evidence. This isn’t “glass half full vs glass half empty”, it’s “wild optimism vs sober consideration”.

Your use of the word ‘bet’ is a useful clue here. If I bet on a horse, then neither of us knows if the horse will win or not. That doesn’t mean that optimists and pessimists about my prospects as a professional gambler have equally justifiable positions.
by bhouston | 2025-11-06 17:40:34+00:00
Microsoft has to follow US sanctions, even if they are misplaced. This isn't a choice on Microsoft's part here.

The ICC was applauded in the US in the when it went after Russia but when it goes after Israel it is sanctioned. It unfortunately hard to be impartial, like the ICC is, when it comes to international war crimes. The big players want you to play towards their favourites and only hold their enemies accountable.

The US is also sanctioning Palestinian human rights groups, and kicking them off of US platforms like YouTube, because they make Israel look bad: https://theintercept.com/2025/11/04/youtube-google-israel-pa...
Show HN: AI Bingo – weekly challenges to practice AI
by kan_academy | 2025-11-06 17:41:15+00:00
Hi HN! We were trying to have our team adopt AI more and had the idea for "AI Bingo" - hands-on, mini challenges that resulted in something delightful and real.

Our team members were obsessed, they were saying it was "weirdly addictive." People made AI-generated ASMR videos, n8n automations, games. Our email marketer built an Electron app using Claude Code.

We were stunned - people were learning by doing AND having fun. So, we've spent the last few weeks building Made That, where anyone can do the same challenges and see other people's submissions.

A lot of people feel a lot of existential angst about AI as we're all seeing layoffs left and right, but they don't know where to start. Wanted to add a bit of fun (and competitiveness) to something that feels stressful.

There's still a lot we can do to make it better, but wanted to open up discussion here and get feedback about the format, challenges, if it feels fun.
by jerf | 2025-11-06 17:41:50+00:00
There's no need for research. The answer is simple: You can't run Erlang concurrency on a GPU. GPUs fundamentally get their advantage by running the same operations on a huge set of cores across different data. They aren't just Platonically faster than CPUs, they're faster than CPUs on very, very specific tasks. Out of the context of those tasks, they are in fact massively, massively slower.

Some of the operations Erlang does, GPUs don't even want to do at all, including basic things like pattern matching. GPUs do not want that sort of code at all.

"Erlang" is being over specific here. No conventional CPU language makes sense on a GPU at all.
by bri3d | 2025-11-06 17:41:52+00:00
Video codecs are a really good example of this too. We went from slow and unreliable video decoding in the CPU, to fully offboard / unsupervised decoders (remember the 90s MPEG-2/DVD players that would just blit onto a green part of the screen, where your computer never actually saw the data off the disc?), to CPU/firmware supervised custom hardware (Apple's decoder, for example, uses firmware on a Cortex to lower decoding commands into an IR which runs on custom execution units). With RISC-V making it cheap to add custom instructions, I wouldn't be surprised to see video decoding move to on-chip RISC-V cores with custom instruction set extensions.
by MisterTea | 2025-11-06 17:41:54+00:00
> but this is really about two fallible humans,

Just please stop with the fluffy squishy feel good human nonsense. This is about a corporate team who recklessly flipped the switch of an AI that went through and trashed articles curated by another team.

> That's what communication is about.

And its plainly obvious the intent was NEVER communicated. The Japanese team had no idea their hard work was going to be overwritten by a computer.
by JumpCrisscross | 2025-11-06 17:42:04+00:00
> Would it be as acceptable for China to start doing this?

Xi’s China has been ramming vessels in the South China Sea for a while now [1]. In 2019, “a Philippine fishing boat anchored in Reed Bank in the South China Sea, sank after it was rammed by a Chinese vessel,” its crew surviving because they were “later rescued by a Vietnamese fishing vessel” [2]. (“In July 2016, the Permanent Court of Arbitration at The Hague ruled on a claim brought against China by the Philippines under UNCLOS, ruling in favor of the Philippines on almost every count. While China is a signatory to the treaty establishing the tribunal, it refuses to accept the court’s authority” [3].)

Russia, meanwhile, conducts extrajudicial atrocities in Africa through Wagner [4].

The simple answer is the great powers are broadly and consistently rejecting the notion of international law.

[1] https://www.reuters.com/world/china/philippines-accuses-chin...

[2] https://en.wikipedia.org/wiki/2019_Reed_Bank_incident#:~:tex...

[3] https://www.cfr.org/global-conflict-tracker/conflict/territo...

[4] https://www.hrw.org/news/2024/03/28/mali-army-wagner-group-a...
by neilv | 2025-11-06 17:42:11+00:00
Looks like `archive.is` is currently using reCaptcha. So Google might be able to figure out and tell the FBI who runs it. (If not by data around the registration, then by data around accesses to the site that seem to be by a developer of it, coupled with their cross-site tracking data.)

I've also seen Cloudflare similarly in the loop, and they have similar cross-site tracking data.

Lesson: The same third-party tech surveillance companies to which you sell out all your visitors, can also violate you.
by manquer | 2025-11-06 17:42:13+00:00
I guess OP means to say it is not idealogical reasons.

Op means to say this type of pardon is not to meant to win votes or satisfy the demands of constituents, Like with convicted cops or people with weed related crimes etc or pardoning draft dodgers after Vietnam or civil war and so on .

While money is involved deeply in politics and financial corruption is there , occasionally idealogical (political) actions without direct financial benefits also happen.

It is hard to say whether this pardon of Silk Road founder was motivated by libertarian, or crypto community pressure or by financial donations to the party etc both are possible even at the same time but they are different considerations
by vinceguidry | 2025-11-06 17:42:22+00:00
Yeah, I'm looking at having my text editor handle much of the formatting of my Ruby files, I've already got a serviceable indenter. My text editor will eventually be able to handle more than one language, so I won't need any more IDEs, and I can handle other languages the usual way, with language servers. I've thought about keeping the work source in the same process as the editor, but I think it would be better to have a separate process like emacs does with robe. Then I could reload the entire system every time I save a file without having to worry about editor state.
by BruiseLee | 2025-11-06 17:42:43+00:00
Back in pre-module days, Slackware shipped with "big" kernel with lots of drivers compiled in. The advantage was that this way the kernel could boot on a wide range of hardware. But it was very bloated (for the time) and the users were expected to recompile the kernel with unnecessary drivers removed. I remember compiling it on Pentium 60 with 16MB of RAM. Took 1-2 hours or so.
by pona-a | 2025-11-06 17:42:47+00:00
What histories? Does archive.is take your email, phone, credit card, and passport pic when you want to read anything? The most there is is just an IP address in the server logs, for most users, rotated by their ISP on regular basis, easily obscured with a VPN.

This need to make IP-infringement sound ominous by invoking some ill-defined spy plot is a tired cliche.
by dualogy | 2025-11-06 17:42:51+00:00
Yeah that seems like an area for improvement in Godot's GUI system indeed. For my stuff, I never had a need for theming, but good to keep in mind if one ever wanted to do an app shared with others.

Another homegrown personal tool I had once written was in Go with DearImgui, so basically with AllenDang/giu... also really quite rapid dev and lean-enough binary / perf.

But Godot is wysiwyg for GUI stuff, so that's a plus..
by mothballed | 2025-11-06 17:43:03+00:00
Professional gunmen doing what exactly, while they are on a go-fast boat or narco-submarine with actual professional gunman on the docks on either end? The only people capable and willing to board such boats are the coast guard. Sending higher up professional gunmen to risk the open seas would be virtually pointless. Even if a private individual/group tried it, the cartel would 'deal' with them as soon as they got it back on land, no need to risk their enforcers on the high seas for such an improbable event.

You can see the same thing watching drug trafficking police videos. Most the time the drugs are in transit it is some random poor person with not much else going on in their lives. As soon as they are confronted by armed men they play dumb until the ruse is up.
by namegulf | 2025-11-06 17:43:09+00:00
This is really a bad idea when Firefox & Safari are the only browsers that are natively implemented (not a chromium fork).

They should instead strictly focus on only one thing i.e browsing by improving on speed, UX and stability and remove the bloat.

You can always offer it as a extension and promote it in the dashboard so that whoever is looking for a LLM inside the browser could use it.

Forcing and slowing down the browsing experience is not a good idea AND you're also leaving out a great opportunity here while every other browser is integrating AI into theirs.

Stick to ONE thing (pure browser) and do it really really well!