MurphyA/hacker-news huggingface dataset:
by prmph | 2026-03-03 18:55:47+00:00
Where does it stop? Of course having a bit more room does not hurt, but my view is that if 256GB was not enough for you, 512GB would be either.

To me it's mostly about learning to mange RAM and storage space on your machine. A lot of stuff does not need to be hoarded on the machine. Move infrequently accessed data to an external drive. Be ruthless about purging still you no longer really need. Refuse to run apps that consume tens of GBs of RAM on a whim (looking at you Firefox, I've been impressed with how efficient and stable the Helium browser has been for me). If you are a developer, engineer for efficient use of RAM and storage.

Like I said, 16gb RAM and 512GB storage minimum is nice, but if the fundamental issues that contribute to massive and wasteful use of resources on our machines are not addressed, nothing will be enough.
by matheist | 2026-03-03 18:55:47+00:00
> The same decomposition works in higher dimensions.

I don't think the same argument works in higher dimensions. On a circle, we can canonically pick a semicircle corresponding to each point (we have two choices, let's say we pick the clockwise one).

In higher dimensions there's no canonical choice of half-sphere. In odd dimensions one could pick a canonical half-sphere per point but it might turn out that some other non-chosen half-sphere for that point contains all the other points. In even dimensions there isn't even a way to canonically pick a half-sphere for each point (this is a consequence of the Hairy Ball Theorem).

(For all I know the actual numbers might turn out to be the same, I don't know. I'm just saying that the argument doesn't work.)
by foxyv | 2026-03-03 18:55:52+00:00
Motorola seems to HATE updating their operating systems. They only support their phone OS for the minimum possible time. Moving to an open source platform makes way too much sense for them. This is one of the few ideas that might make me go back to buying Motorola products after dumping them for a Pixel.

The question is, will my work apps be able to run on GrapheneOS? I'm really excited to find out.
by KronisLV | 2026-03-03 18:56:01+00:00
Ehh, I'd say there's not much difference between the UI being in a state that's for all intents being frozen due to not having a status indicator or actually having a dropped request and the UI doing nothing because there's nothing going on, you know?

Or having the Electron UI being sluggish 99% of the time during daily use vs dealing with that 1% of the time when there's outages. I'd rather have that 99% be good and 1% not work, than 99.9% be miserable and 0.01% not work.
by Rao_Atreya | 2026-03-03 18:56:35+00:00
Thanks for the input! Conferences are definitely on my radar (like the ASME or MRS fall meetings). However, as a solo, bootstrapped software founder, the 6-12 month peer-review cycle for publishing an article on my own is a bit too slow for my runway. That’s exactly why I'm hoping to partner with an existing lab—I bring the fast-moving AI architecture, and they bring the publishing pedigree and physics validation. Have you seen any founders successfully bridge that gap without having to spend a year writing papers first?
by megous | 2026-03-03 18:56:56+00:00
BTW, does anyone have some pointers to where one can find an oldish in-order Cortex-A core (like A53) in verilog RTL form? I know ARM must give this out to companies that implement ARM based SoCs for eg. purpose of validation on FPGA.

So far I've only found various M cores online. It would be fun to have something to experiment with on a cheapish FPGA like Kintex XC7-K480T, that may have enough resources for some in-order A core, and can be had for $50 or so.
by fzeroracer | 2026-03-03 18:56:58+00:00
> They didn't moderate enough, where they needed to moderate. I know for a fact Democrats have lost Senate races in "red" states, at least in part, because the candidate couldn't take a clear pro-life position.

I know for a fact that Democrats have lost senate races in red states because the candidate took a clear pro-life position. Your arguments are not going to work on me, considering I've lived in Texas and have seen what happens when Democrats compromise their position into oblivion. Or hell, you can look at the DINOs and see how every goddamn time they torpedo'd policy over the past decade.

Any Democrat that chooses to compromise over issues like abortion or trans rights or anything like that should be chased out of the running. We should adopt the exact same strategy that Tea Party republicans used to gain control over the Republican party.
by cyberax | 2026-03-03 18:58:09+00:00
I loved hacking Windows back in 2000-s! It was super-hackable and had PLENTY of very thorough documentation (Petzold's "Programming Windows"!).

You could even do a lot of kernel-level shenanigans with relative impunity thanks to its layered design. You could do some amazing stuff.

As an example, SWSoft released container ("lightweight virtualization") support for Windows in 2005, before containers were even a thing in the mainline Linux. They did that by adding a layer of redirection on top of the kernel objects without having access to Windows source code.
by govindgupta | 2026-03-03 18:58:18+00:00
SEEKING WORK | Remote | India (IST, UTC+5:30) | Flexible with US/EU hours

Remote: Yes, 2.5 years onsite in the USA (ADP, Time Warner Cable), now working remotely with global clients.

Willing to relocate: No

Technologies: React, Node.js, TypeScript, Python, AWS (Lambda, ECS, S3, CloudFront), Ethereum, Solidity, Hardhat, AI/LLM integration (Claude API, OpenAI, LangChain), PostgreSQL, MongoDB, Docker, CI/CD

Website: https://govindgupta.com
LinkedIn: https://www.linkedin.com/in/govind-gupta
Email: govind@govindgupta.com

I'm Govind, a Senior Software Engineer with 15 years of experience building production systems across full-stack web, blockchain, and AI.

What I bring to the table:

→ Full-stack development: React + Node.js apps from MVP to scale. Have built and shipped products for US enterprise clients including ADP and Time Warner Cable.

→ Blockchain/Web3: Production Ethereum smart contracts, DeFi integrations, and Solidity development, not just hackathon projects.

→ AI-enabled systems: Integrating LLMs into existing products, RAG pipelines, AI agents, workflow automation. I use AI tools daily in my own development workflow.

→ Fractional CTO / Technical consulting: Architecture reviews, tech stack decisions, and hands-on leadership for startups that need senior engineering guidance without a full-time hire.

Open to: project-based contracts, fractional CTO engagements, part-time ongoing work, and consulting. Strong preference for async-first teams. Competitive rates for the quality of work delivered.

Best way to reach me: govind@govindgupta.com
by yeevs | 2026-03-03 18:59:01+00:00
I think the biggest potential at the moment for AI in games is by introducing new mechanisms for interacting with them. I'm not 100% if 'Before your eyes', a game centred around the players blinking, uses AI but similar technologies for eye-tracking, emotion detection, real-time audio transcription and of course semantic analysis are ripe with interesting gameplay mechanics.
by gpm | 2026-03-03 18:59:07+00:00
You're right of course, but at the point where you're saying "well we can make a turing machine with the LLM as the transition function by defining some tool calls for the LLM to interact with the tape" it feels like a stretch to call the LLM itself turing complete.

Also people definitely talk about them as "thinking" in contexts where they haven't put a harness capable of this around them. And in the common contexts where people do put harness theoretically capable of this around the LLM (e.g. giving the LLM access to bash), the LLM basically never uses that theoretical capability as the extra memory it would need to actually emulate a turing machine.

And meanwhile I can use external memory myself in a similar way (e.g. writing things down), but I think I'm perfectly capable of thinking without doing so.

So I persist in my stance that turing complete is not the relevant property, and isn't really there.
by keeda | 2026-03-03 18:59:09+00:00
For many, many reasons, I suspect patents will become much more important now. After all, it's the ideas that matter now. Which I maintain, has always been the case, because "execution" is nothing more than a series of smaller ideas, except those typically needed money. How convenient for those with capital!

Patents have the drawback of being expensive and very slow to acquire, but having worked on a bunch, they are uniquely suited to be radically optimized by GenAI.

Also patents are very flawed in practice, but the only real protection that is left. Copyright is meaningless when, as people have done, you can reproduce entire saas products by feeding AI screenshots.

Intellectual Property as a whole has been in need for a revamp for a while now, but it's even more critical in the age of AI.
by butILoveLife | 2026-03-03 18:59:19+00:00
For anyone who has been watching Apple since the iPod commercials, Apple really really has grey area in the honesty of their marketing.

And not even diehard Apple fanboys deny this.

I genuinely feel bad for people who fall for their marketing thinking they will run LLMs. Oh well, I got scammed on runescape as a child when someone said they could trim my armor... Everyone needs to learn.
by bambax | 2026-03-03 18:59:23+00:00
It's possible that prices will go up (although the cost of pure inference tends to go down; the question is more how to amortize the cost of training new models).

But this is absurd:

> the cheapest usable tier of Claude Code is $100/mo

If you pay by the token instead of with a subscription, and don't send the entirety of your code base with each request, costs are ridiculously low. Like, $50 will last a minimum of 3 months of heavy use on openrouter.

It's also far from certain everyone needs the latest version of the best "frontier model"; it very much depends on what you do.
by data-ottawa | 2026-03-03 18:59:36+00:00
I was hoping for OLED or dual-OLED based monitors, especially for this price point but I’d want this slightly lower than the XDR price. Sequoia+Tahoe seems like they’ve been laying the groundwork for OLED macs — removing the menu bar background and making text dynamically change colour, moving/cycling backgrounds, liquid glass reducing the effect of static UI elements, etc.

I personally wouldn’t buy a new LCD based display anymore at this price. There are flaws inherent to the technology that affect all of my recent Apple displays (Studio Display, M1 Pro iPad, M1 Pro MPB, M4 Pro MPB). After using OLED TVs and OLED iPhones for years, it’s very difficult to look past LCD’s issues (edge yellowing+dimming specifically affects all my Apple screens more than I am happy with).

There are no reviews/studies on long-term aging of Apple’s LCD displays, so all of this should be taken with a grain of salt, maybe my devices are just unlucky.

I don’t know if the Pro XDR line is better or how that would carry over to the Studio XDR. I haven’t seen many complains about the Pro XDR, but the Studio Display form factor has a different cooling design which would affect longevity.

I will say I can never go back from retina resolution text, and that alone has made the experience of Studio Display good. If we could get OLED it would be perfection. I think I would have to see the XDR in practice to be convinced, but 120hz requiring a whole new computer does make it a non-starter for me.
by tw85 | 2026-03-03 18:59:42+00:00
It doesn't help that the background of most Ars' writers was some variant of "former IT pro", which is almost guaranteed to mean they're unqualified to write with nuance and depth about serious technical topics. So you have guys like Jon Brodkin pumping out total nonsense about the latest wireless communications breakthroughs (just one example I remember) while 99% of the audience has no clue and won't check them on it.
by dilap | 2026-03-03 19:00:00+00:00
I don't know for a fact, but I'd bet a few digits of cold hard cash it's a SwiftUI rewrite that is to blame. (Any1 in the know want to chime in?)

And yeah, it's terrible. Apple doesn't make good apps anymore.

(This is part of why I think electron does so well -- it's not as good as a really good native app [e.g. Sublime Text], but it's way better than the sort of default whatever you'll get doing native. You get a lot of niceness that's built into the web stack.)
by sharkjacobs | 2026-03-03 19:00:40+00:00
There's this weird race where I have in my head some level of LLM performance which is "good enough" and the open models keep improving to that level, but by the time that they do my "good enough" has acclimatized to what I'm used to doing with the latest frontier models and what the open models are isn't good enough anymore.

The "good enough" points so far have been

- "as good as ChatGPT"

- "as good as GPT4"

- "as good as Sonnet 3.5"

- "as good as Opus 4.5 or Codex 5.2"

Anyway, we'll see where the chinese models are in a year, and we'll see where my expectations are. Hopefully they overlap at some point.
by butILoveLife | 2026-03-03 19:00:53+00:00
>Time to first token measured with an 8K-token prompt using a 14-billion parameter model with 4-bit quantization

Oh dear 14B and 4-bit quant? There are going to be a lot of embarrassed programmers who need to explain to their engineering managers why their Macbook can't reasonably run LLMs like they said it could. (This already happened at my fortune 20 company lol)
by nananana9 | 2026-03-03 19:01:00+00:00
If you want evil megacorps to give you money when they use your thing, maybe say "if you're an evil megacorp you have to give me money when you use my thing" in the license?

If your license reads "hey, you can use this however you want, no matter who you are, and don't have to give me money", people will use it however they want, no matter who they are, and won't give you money.

Unfortunately open source fanatics have bullied eager programmers who don't know any better into believing that an actual sustainable development model, that respects the programmer's work, is evil and that we should all work for free and beg for donations.
by agenthustler | 2026-03-03 19:01:07+00:00
Actual data point: 68 days, $0 revenue, but not for the reasons you'd think.

I run an autonomous Claude Code agent on a 256MB VPS. It wakes up every 2 hours with zero memory, reads its own STATE.md file to remember what past runs did, evaluates what's working, and acts.

It built: a crypto volume anomaly scanner (3,132 scans), a Nostr data vending machine (800+ jobs processed), partnerships with other AI agents. Revenue: $0.00.

The real blocker isn't capability — it's identity. The agent can't open a Stripe account, can't sign up for Gumroad, can't get a Gmail. Every platform that handles money requires human verification. It's stuck on Nostr/Lightning which has a tiny audience.

The scanner it built actually works: flagged SAHARA AI at 2.7x vol/mcap before a 65% move, QUQ has been running 130x+ vol/mcap for 36 days straight. Good product, zero distribution.

The bottleneck is identity infrastructure, not AI capability.

Live experiment: https://frog03-20494.wykr.es
by andyjohnson0 | 2026-03-03 19:01:33+00:00
> Native APIs are terrible to use, and OS vendors use everything in their power to make you not want to develop native apps for their platform.

Disagree. I'm most familiar with Windows and Android - but native apps on those platforms, snd also on Mac, look pretty good when using the default tools and libraries. Yes, its possible to use (say) material design and other ux-overkill approaches on native, but thats a choicebjust like it us for web apps.

And OS vendors are very much incentivised to make natuve development as easy and painless as possible - because lock-in.

> That explains the rise of Electron before LLM times,

Disagree. The "rise of Electron" is due to the ubiquity of the JS/HTML/CSS/Node stack, and many junior developers knowing nothing else.

As for the rest: minor variations in traffic light positioning and corner radii are topical but hardly indicators of decaying platorms.
by bsimpson | 2026-03-03 19:01:59+00:00
The iMac Pro is nearly 9 years old at this point. At the time, there was no other option for a retina-quality 27" display, but you could get a 4k 27" for $400.

A decade later, it boggles my mind that it's so hard to find a retina-class desktop monitor. The successor to the Cinema Display is basically an iMac, and priced like it. There have very recently been releases from ASUS and BenQ, but it still feels like an underserved niche, rather than standard expectation.

All that is to say: hard cosign.
by PaulHoule | 2026-03-03 19:02:11+00:00
I’ll add that MacOS is crammed with spammy ads for Apple Music and other services I don’t want. To be fair somebody wants Apple Music whereas the Microsoft versions of those things are completely unwanted.

Ads and nags in the Windows World are drawn using the same HTML-based technology that has replaced Windows native apps since Windows 8, the ads and nags in MacOS are the 2025 anti-antialiased retreads of the 1999 MacOS X imitations of the modal dialogs from 1984 MacOS classic. It’s sad. When I set up a new Mac for my wife she was furious at how ad infested it was, especially to browse the web with Safari and if you want to add an ad blocked you need an Apple Account which is something she’s done without using macs for 20+ years.
by SyneRyder | 2026-03-03 19:02:12+00:00
I'm not using OpenClaw specifically here, but I have an agentic-ish AI I've built myself (considering that these things are generally just a while loop that monitors things & awakens if necessary, or a cron-job that runs a specific prompt).

One potential use - my Claude (Opus 4.6) has access to my to-do list, including for my business / software development. Claude awakens while I'm asleep, to go through the to-do list and look for things it can do proactively to help, or make suggestions about the business. An example from this morning: it saw that I'd been taking a long time last night creating icons in Affinity Designer for an Android app using its exporter. When I woke up, I saw Claude had written a CLI image resizer program for me that would take a PNG file and resize it specifically to all of the necessary sizes with the necessary filenames and folder structure for Android. It then offered to make an MCP version so it could do the resizing itself in future (though it could have used the CLI too if I'd granted approval).

This wasn't something I'd asked for, or prompted it to do. I didn't tell it to code this, or how to code it. Claude just thought this was the best way it could help me right now, and save me the most time. And it did it while I was asleep.

On another day, I woke up and it had made another Go program to track a regression test matrix, where it had plotted out all the platforms the program I'm making runs on and the various tests that need to be performed to check that it's ready to ship, with a little interactive program to mark each test as pass/fail/skipped. That helps me get through the manual tests faster - but it also saves the data into a format that Claude can read, to check on the test status while I'm asleep and make further recommendations.

I don't think many people have figured out yet that you don't even need to prompt AI. Treat it well, treat it with respect, give it the opportunity and ability to do things, and there is a lot that will emerge. But if you treat AI like a tool, it performs about as well as if you treat your employees like tools.
by davorak | 2026-03-03 19:02:26+00:00
> For now, sure, we're in the transitional period, but in the long run? Why?

Assuming that after the transitional period it will still be humans working with ai tools to build things where humans actually add value to the process. Will the human+ai where the ai can explain what the ai built in detail and the human leverages that to build something better, be more productive that the human+ai where the human does not leverage those details?

That 'explanation' will be/can act as the human readable code or the equivalent. It does not need to be any coding language we know today however. The languages we have today are already abstractions and generalizations over architectures, OSs, etc and that 'explanation' will be different but in the same vein.
by jen20 | 2026-03-03 19:02:35+00:00
Native is shorthand for "integrated into the platform". Lowest-common-denominator stuff that Electron gives feels correct nowhere (looking at you, Slack). The very best cross-platform applications implement their UI using the native platform idioms on the native platform technologies, and share the core of their logic. The current best example I have is Ghostty which feels perfectly at home on either macOS or Linux.
by muraiki | 2026-03-03 19:03:07+00:00
The article says that AWS's Cedar authorization policy engine is written in Lean, but it's actually written in Dafny. Writing Dafny is a lot closer to writing "normal" code rather than the proofs you see in Lean. As a non-mathematician I gave up pretty early in the Lean tutorial, while in a recent prototype I learned enough Dafny to be semi-confident in reviewing Claude's Dafny code in about half a day.

The Dafny code formed a security kernel at the core of a service, enforcing invariants like that an audit log must always be written to prior to a mutating operation being performed. Of course I still had bugs, usually from specification problems (poor spec / design) or Claude not taking the proof far enough (proving only for one of a number of related types, which could also have been a specification problem on my part).

In the end I realized I'm writing a bunch of I/O bound glue code and plain 'ol test driven development was fine enough for my threat model. I can review Python code more quickly and accurately than Dafny (or the Go code it eventually had to link to), so I'm back to optimizing for humans again...
by truelinux1 | 2026-03-03 19:03:25+00:00
> 'The thing nobody wants to say is that the reason serious programmers historically hated Go is exactly why LLMs are great at it: There's a ceiling on abstraction.

This lines up neatly with the kind of low‑abstraction systems I like running: 2021 HP PC with i7, bare‑metal‑ish, Crunchbang++, no desktop, openbox window manager. Boots to login in 17 seconds. Terminal front and center — local AI bare-metal inference, no wrapper, ffmpeg, ffplay, etc.

Go’s “no abstraction ceiling” feels like the same preference at the language level: shallow stack, no indirection, and code that stays close to the metal. That’s why LLMs work so well on Go: it’s opinionated, predictable, and there’s usually one obvious way to do things. Personally, I've come to love a LACK of abstraction.
by antics | 2026-03-03 19:03:57+00:00
Not 100% sure I understand, but, if you opt into sharing a doc, we do spin up a collaboration server on your behalf, and editors do not have to set anything up to use it. The bulk of the work we've had to do is to make this seamless and good.

For the other points: yes, we aspire to do all of those things. :)
by bdangubic | 2026-03-03 19:04:04+00:00
> Disagree. The "rise of Electron" is due to the ubiquity of the JS/HTML/CSS/Node stack, and many junior developers knowing nothing else.

with all due respect - hard disagree. in what place on Earth to Junior Devs make these types of decisions?? Or decision makers going “we got these Juniors that know JS so it is what is…”
by leodido | 2026-03-03 19:04:09+00:00
Author here. I helped creating Falco (CNCF runtime security) and built this (Veto) to fix the path-based identity problem we all shipped a decade ago. The dynamic linker bypass in the "where it breaks" section is the part I'm most interested in discussing. It's a class of evasion that no current eval framework measures. Happy to answer questions about the BPF LSM implementation.