MurphyA/hacker-news huggingface dataset:
by slibhb | 2026-03-11 14:59:55+00:00
> Re 1: You experience the world in real time (or close enough) via your senses, which combine to form a spatiotemporal sense: A sense of being a bounded entity in space and time. The LLM has none of that. They experience the world via stale old text and text derivatives.

It's not clear to me that this is a fundamental limitation. If you provide LLMs with a news feed, it's closer to real-time. You can incrementally get closer than that in very obvious ways.

> Re 2: There's something tremendous in the fact, staring us right in the face, that LLMs are unable to meaningfully contribute to academic/medical research. I'm not saying that they need to perform on the level of a one-in-a-million Maxwell, DaVinci, or whatever. But as Dwarkesh asked one year ago: "What do you make of the fact that these things have basically the entire corpus of human knowledge memorized and they haven't been able to make a single new connection that has led to a discovery?"

LLMs have been around for a very short time. It wouldn't surprise me if researchers have used them to make discoveries. If they haven't, they will soon. Then there's a question about attribution...if you're a researcher and you use an LLM to discover something, do you give it credit? Or is it just a tool? There's a long, long history of researchers being less than honest how they made some discovery.

> Re 3: Sure, you can hold it by the hand and spoonfeed it. You can also create for it a mirror reality which doesn't exist, which is pure fiction. Given how limited these systems are, I don't suppose it makes much of a difference. There's no way for it to tell. The "human in the loop" is its interaction with the world. And a pale, meager interaction it is.

Our perception of reality is meager too. You can easily imagine how an LLM could be "plugged in" to reality. Again nothing fundamental here.

> Re 4: Static, old images/video that they were trained on some months ago. That, too, is no way of interacting with the world.

No, you can send an LLM a video/image and it can "understand it". It's not perfect but, like I said, the technology is already here to project video data into something the LLMs can interact with.
by abdullahkhalids | 2026-03-11 15:00:13+00:00
We don't really have physical access to it - in the sense that on your desktop computer you can boot off a usb drive and reinstall the OS. There is no way you can boot your TV off external media. So you have to hack the existing OS while running it.

The way rooting working on a TV is that you run some javascript in the TV browser that targets some vulnerability in the browser/OS to run some code that then gives you a way in. Or if it has a USB port (to watch videos off a usb drive), you play a specifically crafted video that targets some vulnerability in the media players, to again install some program that then lets you do more serious changes to the OS.

Over time, LG fixes these vulnerabilities.
by hodgesrm | 2026-03-11 15:00:35+00:00
> You can't make that up.

Unfortunately it seems quite believable. This is the same outfit that fired a bunch of people responsible for overseeing the US Nuclear Arsenal. [0] The combination of arrogance and stupidity was breathtaking.

[0] https://thebulletin.org/2025/04/doges-staff-firing-fiasco-at...
by craftkiller | 2026-03-11 15:00:44+00:00
I think it was clear that they were saying anybody is permitted to build a RISC-V chip, not that anybody has the skills.

> The number of people who can design a chip implementation

Thankfully you don't have to start from scratch. There are loads of open source RISC-V chip implementations you can start from.

> get or own a FAB to manufacture the chips

There is always FPGAs and also this:

https://fossi-foundation.org/blog/2020-06-30-skywater-pdk
by wat10000 | 2026-03-11 15:00:53+00:00
The agency's statement says that PII is secure but that the complaint included internal emails and documents with info about the agency's systems and employees. That's not contradictory.

I suspect the whistleblower is correct, but I don't think it's proven to the point where we can confidently state that "it happened." SSA isn't trying to dispute the method, they're trying to dispute the fundamental claim.
by sanchitmonga22 | 2026-03-11 15:00:53+00:00
Good correction, thanks. You're right that NAX and ANE are distinct,
I shouldn't have conflated them. NAX's ability to accelerate LLM
prefill is exactly the kind of capability that could complement
MetalRT's decode-focused pipeline. Appreciate the clarification on
the Metal 4 / Tahoe requirement too.
by wongarsu | 2026-03-11 15:00:56+00:00
Not in terms of people printing lego bricks. But at least as an adult, designing things in Fusion and printing them scratches a similar itch as building lego. And 3d printing is now pretty accessible to the 14+ age group. I doubt this will completely replace legos, or that it's even their biggest threat, but I'd be surprised if it had no impact
by alwillis | 2026-03-11 15:01:38+00:00
> Apple has been delivering way cheaper laptops ever since M1

I wouldn’t "way cheaper".

A baseline Neo with 256GB SSD is $599 vs the first M1 MacBook Air with 256GB SSD was $999 ($1,251.09 in 2026 dollars)

A Neo with 512GB SSD is $699 vs the M1 MacBook Air with 512GB SSD was $1249--that's $1,568.38 in 2026 dollars.

So this is a big deal; the Neo is the first Apple Silicon MacBook where the starting price is less than $999.
by direwolf20 | 2026-03-11 15:02:01+00:00
The idea would be that when you see a recording of a Blu-ray, you can track down who bought the Blu-ray. However that part was never implemented. However it WAS implemented on Netflix which is why pirates don't like using Netflix as a source. Any time a pirated movie is released from a Netflix source, that person gets blacklisted from Netflix because it's watermarked with their user ID.
by sanchitmonga22 | 2026-03-11 15:02:13+00:00
Fair criticism. Our benchmarks are on small models because MetalRT
was built for the voice pipeline use case, where decode latency
on 0.6B-4B models is the bottleneck.

You're right that the bigger opportunity on Apple Silicon is large
models that don't fit on consumer GPUs. Expanding MetalRT to 7B,
14B, 32B+ is on the roadmap. The architectural advantages(that MetalRT has) should matter
even more at that scale where everything becomes memory-bandwidth-bound.

We'll publish benchmarks on larger models as we add support. If you
have a specific model/size you'd want to see first, that helps us
prioritize.
by ryukoposting | 2026-03-11 15:02:43+00:00
Call me names, but I'll go to bat for stickers.

Even when I was a kid, I wasn't keen on graphic designs on the pieces. I liked the uniformity of consistently-colored pieces. Most graphics only make sense in the context of the set they were packaged in. Stickers give the customer flexibility. Use them when you build the set, and remove them later if you take the set apart and don't want them anymore.

Killing Mindstorms was a head-scratcher to me. Hell, there was an entire international tournament built around Mindstorms. I know FLL still exists, but why kill that darling specifically?

NXT still kicks ass by the way. I have a backup of the NXT programming environment somewhere, it can be coaxed into running on Windows 11.
by mistrial9 | 2026-03-11 15:03:13+00:00
yeah - skeptical here. Among certain departments, at large schools, under certain leaders.. The combination of "my marriage almost crumbled" for motivated reasoning, and "I have never seen any of this before" total inexperience with actual process.. the post shows itself to be biased and unreliable.

However, among certain departments, at large schools, under certain leaders.. yes, and growing

$0.02
by SecretDreams | 2026-03-11 15:03:24+00:00
The income disparity between Germany and California is gargantuan as you approach the top percentiles.

In the 1%, average income in Germany is 272k usd. In California, it's north of 1mil usd. At 0.1%, it's 1.1 mil usd in Germany and 3.2+ mil in California.

The distributions between high and low income earners are much flatter in Germany because it is harder to abuse the system to get to such salaries. No so in America. Hence Germany also does not need such aggressive taxation schemes as what's proposed (they also have way more flat taxes as well).
by frankfrank13 | 2026-03-11 15:03:33+00:00
Some insider knowledge: Lilli was, at least a year ago, internal only. VPN access, SSO, all the bells and whistles, required. Not sure when that changed.

McKinsey requires hiring an external pen-testing company to launch even to a small group of coworkers.

I can forgive this kind of mistake on the part of the Lilli devs. A lot of things have to fail for an "agentic" security company to even find a public endpoint, much less start exploiting it.

That being said, the mistakes in here are brutal. Seems like close to 0 authz. Based on very outdated knowledge, my guess is a Sr. Partner pulled some strings to get Lilli to be publicly available. By that time, much/most/all of the original Lilli team had "rolled off" (gone to client projects) as McKinsey HEAVILY punishes working on internal projects.

So Lilli likely was staffed by people who couldn't get staffed elsewhere, didn't know the code, and didn't care. Internal work, for better or worse, is basically a half day.

This is a failure of McKinsey's culture around technology.
by sanchitmonga22 | 2026-03-11 15:03:42+00:00
That's a fair read. Tool calling reliability with sub-4B models is
genuinely the hardest unsolved problem in on-device AI right now.

The inference engine (MetalRT) is production-grade, the pipeline architecture
is solid, but the models at this size are still the weak link for
complex tool routing. Larger model support (where tool calling is
much more reliable) is next on the roadmap. Please stay tuned!
by TheDong | 2026-03-11 15:04:03+00:00
Github actions has had a bunch of high-profile prompt injection attacks at this point, most recently the cline one: https://adnanthekhan.com/posts/clinejection/

I guess you could argue that github wasn't vulnerable in this case, but rather the author of the action, but it seems like it at least rhymes with what you're looking for.
by pwillia7 | 2026-03-11 15:04:07+00:00
> “Never believe that anti-Semites are completely unaware of the absurdity of their replies. They know that their remarks are frivolous, open to challenge. But they are amusing themselves, for it is their adversary who is obliged to use words responsibly, since he believes in words. The anti-Semites have the right to play. They even like to play with discourse for, by giving ridiculous reasons, they discredit the seriousness of their interlocutors. They delight in acting in bad faith, since they seek not to persuade by sound argument but to intimidate and disconcert. If you press them too closely, they will abruptly fall silent, loftily indicating by some phrase that the time for argument is past.”
― Jean-Paul Sartre
by sanchitmonga22 | 2026-03-11 15:04:10+00:00
Yes, that's the plan. MetalRT will ship as part of the RunAnywhere
SDK so other developers can integrate it into their own apps. We're
working on making that available. If you want to be in the early
access group, drop me a line at founder@runanywhere.ai or open an
issue on the RCLI repo. Happy to look at your project.
by Schlagbohrer | 2026-03-11 15:04:21+00:00
Google had been working on a big LLM but they wanted to resolve all the safety concerns before releasing it. It was only when OpenAI went "YOLO! Check this out!" that Google then internally said, "Damn the safety concerns, full speed ahead!" and now we find ourselves in this breakneck race in which all safety concerns have been sidelined.
by pc86 | 2026-03-11 15:04:49+00:00
Nobody is making $50M a year in W2 income. Maybe a couple pro athletes? But if you're making $50M a year it's all stock and that doesn't fall under this, and once you have enough of it there are ways to actually realize it as income and never pay taxes on it.

This is not about the money at all, it's about getting an income tax on the books. In a year or two they'll lower the limit a few hundred grand. They're start removing exemptions, they'll add more brackets, and before you know it Washington will have California's tax structure and the people who live there will not be any better for it. But the government will be bigger, and the people will be poorer.
by iso1631 | 2026-03-11 15:05:19+00:00
Sudan is the classic example. 90% of Americans could barely point to it on a map. Most Europeans have no idea there's a civil war raging for the last 3 years and created millions of refugees, killed hundreds of thousands, subjected tens of millions to famine.

The problem is you can't paint it as "good guy" and "bad guy"
by ambicapter | 2026-03-11 15:06:03+00:00
California has a "Neutral Decrease" in population and New York has a "Neutral Increase" according to Wikipedia. I'm gonna go with the 5 year trendline, which is up.

> And even if the estimates are wrong

Nice, covering all your bases.

> Southern states are growing much faster

Yeah, smaller states grow faster than larger ones.
by niam | 2026-03-11 15:06:24+00:00
The Library of Babel comparison is too fatalistic imo, even granting that it's maybe just an extreme example. The real world doesn't quite resemble a closed system with no metadata. We can still establish chains of trust.

Whether or not people will build resilient chains is another story, contingent on whether the strength of that chain actually matters to people. It probably doesn't for a lot of people. Boo. But inasmuch as I care, I feel I ought to be free to try and derive a strong signal through the noise.
by kevinsync | 2026-03-11 15:06:27+00:00
I was just about to reply about their financial woes over the years too [0][1][2]

Being a collector of stuff ever since I was a kid (toys, comics, cards, physical media, printed collateral, etc), and being in my 40's (target market / demographic for expensive nostalgia) living in 2026 (the world is a casino! everything's a collector's item!), it is a little annoying to see LEGO appear to turn into something that it wasn't .. but objectively that doesn't eradicate the fundamentals of LEGO, and I'd rather see them be a healthy company with longevity (via current product strategy) than wither and die on the vine out of stubbornness.

That said, aside from leaning on the AAA IP that drives prices through the roof in some lines, I do wish they'd stop with the tech gimmicks (Hidden Side, Smart Bricks), renew one of their focuses on real tech/engineering-adjacent platforms (Mindstorms / NXT / a modern version of these), and acknowledge that wealthy adults aren't the only customers. It really prices out young, fertile minds who a lot of their product and ethos should be directed towards.

Of course, that's a huge problem right now with anything that can command aftermarket prices as collectibles! [3]

[0] - https://knowledge.wharton.upenn.edu/article/innovation-almos...

[1] - https://blog.firestartoys.com/how-the-lego-company-almost-we...

[2] - https://www.toypro.com/us/news/710/learn-the-story-behind-le...

[3] - https://www.youtube.com/shorts/7FZWovUTmL0
by A04eArchitect | 2026-03-11 15:06:39+00:00
This is a great deep dive into SIMD. I've been experimenting with similar constraints but on even more restrictive hardware. Managed to achieve sub-85ns cycles for 10.8T dataset audits on a budget 3GB RAM ARM chip (A04e) by combining custom zero-copy logic with strict memory mapping. The trick was bypassing the standard allocator entirely to keep the L1 cache hot. Does your SIMD approach account for the memory controller bottleneck on lower-end ARM v8 cores, or is it mostly tuned for x86/high-end silicon?
by kibwen | 2026-03-11 15:06:41+00:00
Rust existed nearly entirely on paper until 2009, when Mozilla started funding researchers to work on it full-time. It wasn't announced in any sort of official capacity until 2010, and had no official numbered release until 2012. It was less than three and a half years between 0.1 and 1.0, and in that time, hard as it is to believe, it underwent more overall change than Zig has.
by Gym-Berlin | 2026-03-11 15:06:59+00:00
After my interview with The Diplomat exposed Pakistan’s ISI for targeting Chinese interests in Afghanistan, pro-ISI institutions launched a coordinated smear campaign—attempting to frame me within recycled conspiracy narratives. Rather than retreat, I’ve responded with clarity and conviction. This op-ed and its accompanying visual confront the character assassination head-on, reframing scrutiny as validation and spotlighting Pakistan’s strategic contradictions. It’s not just a defense—it’s a declaration: the truth remains inconvenient, and I remain committed to telling it.
by hkonte | 2026-03-11 15:07:05+00:00
The same problem exists on the prompt side, not just tool outputs.

Prose prompts pad tokens with hedging, transitions, and repeated emphasis. The model has to figure out which parts are constraints vs. context vs. objectives. That parsing overhead is its own tax.

Typed blocks strip that ambiguity. I built github.com/Nyrok/flompt for this: decomposes prompts into 12 semantic blocks (role, objective, constraints, output_format, etc.) and compiles to Claude-optimized XML. Each block tells the model exactly what kind of content it's reading, no guessing.
by patchnull | 2026-03-11 15:07:11+00:00
The huge gap between Intel (1.5x) and M4 (1.02x) speedups is the most interesting result here. Apple almost certainly uses similar polynomial approximations inside their libm already, tuned for the M-series pipeline. glibc on x86 tends to be more conservative with precision, leaving more room on the table. The Cg version is from Abramowitz and Stegun formula 4.4.45, which has been a staple in shader math for decades. Funny how knowledge gets siloed, game devs and GPU folks have known about this class of approximation forever but it rarely crosses into general systems programming.
by 5upplied_demand | 2026-03-11 15:07:13+00:00
Neither of these involved legal allegations later proving to be false, they were simple news story retractions (just like Fox News did Sunday with Trump's dignified transfer performance [0]).

The topic at hand was a whistleblower report, which would have serious ramifications if proven false. It isn't apples-to-apples.

[0] https://thehill.com/homenews/media/fox-news-donald-trump-dig...
by abeppu | 2026-03-11 15:07:22+00:00
> That breaks down when there isn't open discussion on campus. Communists were jeered but essentially allowed on campus in the 60s and 70s, even at the height of the cold war.

I think that's a misleading telling of the history. During the 40s and 50s a lot of people were fired for suspected or real links to communism and some schools even demanded loyalty oaths. Courts struck down a bunch of laws that were used to fire people but many rulings didn't land until the 60s. Angela Davis was famously fired in 1969.
by cjwoodall | 2026-03-11 15:07:23+00:00
I will admit I have almost always made the choice to not use ros2. I am trying to use it now for some work, and I can see where/when it would be useful...

But I almost always feel like there is just so much STUFF involved in ros, that really is just better resolved by having really robust controllers, well defined protocols, and everything else.

I wait to pass judgement until I have more information though
by pjmlp | 2026-03-11 15:07:32+00:00
Yes, just like with real time Java for embedded targets from PTC and Aicas, it is its own implementation with another GC algorithm, additionally there are runtime APIs for regions/arenas.

Here is the commercial product for which it was designed,

https://reversec.com/usb-armory

A presentation from 2024,

https://www.osfc.io/2024/talks/tamago-bare-metal-go-for-arm-...
by saalweachter | 2026-03-11 15:07:39+00:00
Eh, over time I've come to believe having systems that manage insider risk is more important than expecting to be perfect in hiring.

Like, any system will fail if too many of its members don't care about maintaining it, but you're going to hire the wrong person from time to time.

It's important to design your systems to minimize access, both in terms of not allowing everyone access to everything and to only allow people as much access as then need to do their jobs, to require multiple people to sign off on temporary access grants, to create audit trails and to actually audit them and have consequences for violating the rules.

(Which, in this case, DOGE purposefully dismantled.)

It doesn't just protect the data from nefarious villains, it also protects young idiots from themselves, who don't realize you can cause harm just by being curious.
by jimmyjazz14 | 2026-03-11 15:07:44+00:00
agreed, honestly if I see my agent "run" for more than 5 minutes or so I get very suspicious that its doing anything of value other than burning credits because more often than not its just talking to its self or running in loops. I also find the whole multi-agent stuff to be suspect most the time, I don't know that I have seen multiple agents running in parallel do anything that a single agent with good guidance couldn't do synchronously in about the same amount of time.
by iamevandrake | 2026-03-11 15:07:59+00:00
Hey HN, I'm Evan. I've been building autonomous agent systems for the past year, and Opensoul is the result of productizing what I learned.

*What is it?*

Opensoul is a pre-configured deployment of Paperclip (an agent orchestration platform) built specifically for marketing. It ships with 6 agents organized as a real marketing agency:

- Director (strategy, team coordination)
- Strategist (market research, positioning)
- Creative (copy, messaging, brand voice)
- Producer (content production, editorial calendar)
- Growth Marketer (SEO, acquisition, conversion)
- Analyst (measurement, attribution, ROI)

Each agent runs autonomously on scheduled heartbeats. They check their work queue, execute tasks, delegate to teammates, and report progress. Just like a real marketing team—but AI.

*Why I built it:*

Most AI marketing tools give you single-purpose assistants: "write me a blog post" or "generate ad copy." But marketing isn't a series of disconnected tasks—it's coordinated strategy across people, channels, and time.

I wanted to manage marketing outcomes, not prompts. Tell the team "launch product X to 10K signups" and let them figure out the campaigns, content, and optimization.

*Tech details:*

- Built on Paperclip (also open-source: github.com/WeAreBini/paperclip)
- Agents can use any LLM backend (Claude, GPT-4, etc.)
- TypeScript/Node.js, embedded PostgreSQL (zero config to start)
- MIT licensed

*Current limitations:*

- No native social media posting (agents can draft but you approve/post)
- No built-in analytics integrations yet (on the roadmap)
- Requires comfort with CLI/terminal to run locally

*Try it:*

```bash
git clone https://github.com/iamevandrake/opensoul.git
cd opensoul && pnpm install && pnpm dev
```

I'd love feedback on the agent architecture. Is this how you'd structure a marketing team? What capabilities would make this useful for your projects?