‹ BackHN Continuity

Thread

NAND-16: a computer built from 277,248 NAND gates

186 points · 101 comments · rossant

  1. guiambros · · focus · HN ↗
    This is pretty sad. Seeing this a couple of years ago would be mind blowing. An impressive technical feat by someone with grit and resilience to painstakingly build this from scratch.

    Today? Meh.

    1. LarsDu88 · · focus · HN ↗
      I had the exact same thought. I vibecoded a MOS6502 emulator a few months back in Rust. My Rust skill is weak, and I learned absolutely nothing about the 6502 or CPU design. Had I done it manually, there's also no way to prove I created it without LLM help making the whole exercise less appealing overall.
      1. socializer · · focus · HN ↗
        > there's also no way to prove I created it without LLM help

        You don't need to prove it, that was never a requirement. You can simply say it. The only complication is that there's a fair number of people who, for some reason, really want to pass LLM output as their own. They are present on HN too. But here's another ancient trick to overcome that: reputation. Either the reputation you already have, or reputation you build over time. If you have a reputation as an honest person with genuine interest in software, you really don't have to worry, and you will have audience for your work.

        1. LarsDu88 · · focus · HN ↗
          Unfortunately few of us have such reputation to truck with. I think the reality is there is no point in showing off manually coded work any more. All that stuff is really left for self-edification, and increasingly so as AI becomes more capable.
          1. socializer · · focus · HN ↗
            > I think the reality is there is no point in showing off manually coded work any more

            What was the point before? To have fun, build a community, and to get attention of hiring managers. The first two reasons are still there. The third is more questionable, but there's still plenty of companies that hire based on what you know, not how well you prompt.

            1. raddan · · focus · HN ↗
              Agreed. In the pre-LLM days, students always asked me how to "maximize" their hirability. The standard response was "have a passion project" and yeah, that did help people get hired in some ways. But the project was almost never the point of the demonstration. It was more to show that you are _the kind of person_ who sweats the details, who likes taking deep dives. For many of the best jobs, that's _still_ what they want; it's just now, a Github repository is no longer sufficient. That should not stop a passionate person from pursuing their passions.
            2. jacquesm · · focus · HN ↗
              The hiring manager is more than likely to toss your output to another AI which will then decide if you warrant extra attention or not.
        2. Retr0id · · focus · HN ↗
          I'm very grateful I have public pre-LLM projects I can point at (including a 6502 emulator!), and I have absolutely no idea how I'd go about bootstrapping the same kind of reputation starting from scratch.
        3. morpheos137 · · focus · HN ↗
          LLM output should be credited to whoever prompted it. I don't get this hysteria. Llms are tools like compilers or chain saws. We don't say a cabinet made from milled wood is some how less authentic than a cabinet made with flint tools. We don't deny people who write compiled programs in a high level language without understanding every branch of the AST and every transistor setting authorship of their programs. Just because something is somewhat non deterministic and draws from the wealth of previously curated human knowledge does not make it an independent agent and not a tool. The people who find AI generated work 'sad' are implicitly sad about the democratization of knowledge and the lowering of barriers to entry to producing things. The thing produced is still a human product. Rather than saying it is an ai creation we can say it was author prompted and compiled of the combination of the author's intent and the store of human knowledge and reasoning trained into an LLM. What is there to be sad about a new tool existing to make things?
          1. jbjbjbjb · · focus · HN ↗
            It more like you texted a carpenter to make you a wardrobe.
            1. IcyWindows · · focus · HN ↗
              The issue is we don't know if they texted the carpenter or had a detailed design discussion followed by detailed follow up and tweaks.

              People often assume one extreme or the other, but in my opinion, this is where these disagreements stem.

              1. morpheos137 · · focus · HN ↗
                Yes an usually it is easy to tell one shot ai attempts vs careful or interatively regimes designs. Just because ai was used to execute and help generate the design in detail does not mean the human in the loop is not essential to the product.
              2. UpsideDownRide · · focus · HN ↗
                In both cases it was not a solo project.
          2. socializer · · focus · HN ↗
            Thanks for making my point for me, although probably not in the way you intended.

            The credit for the Doordash meal should be given to the person placing the order. If it weren't for their amazing prompting^Wordering skills, which can make food materialize out of thin air, we would not be eating today.

          3. ThrowawayR2 · · focus · HN ↗
            "LLM output should be credited to whoever prompted it" promptly falls apart when you convert it to its pre-LLM equivalent "worker output should be credited to the manager who supervised it." These LLM bros are like bad managers trying to pretend the creativity, reasoning, and effort of their subordinates is actually their own just because they had the idea.
          4. UpsideDownRide · · focus · HN ↗
            It's like Elon paying someone to place on an arpg ladder. Or like driving a car to civer the marathon distance.

            There is something being done in both cases but it aint the thing.

            Mind you there is nothing inherently wrong in using LLMs. The issue is when trying to pass it as your own output.

            1. moosedev · · focus · HN ↗
              The Elon analogy is good.

              That said, some of the people posting slop projects as their own probably idolize him and would embrace the comparison!

          5. LarsDu88 · · focus · HN ↗
            I used to think this, but I can ask an LLM to design me a CPU at this point while knowing absolutely nothing about how it works. Literally nothing. This is not the same as writing a program and handing it to a compiler. This is more like asking youtube to give you a video, then pretending you are Mr. Beast.
          6. Lichtso · · focus · HN ↗
            LLMs are not like other tools. LLMs are running a model, and that model is just provenance / attribution washing on a unprecedented scale.
            1. morpheos137 · · focus · HN ↗
              Human culture in general is provenance washed.nobody remembers who invented most of our world.
      2. dmitrygr · · focus · HN ↗
        > Had I done it manually, there's also no way to prove I created it without LLM help

        Of course there is -- ask you about it.

        The coolest interview process i ever participated in (at MIT Lincoln Lab) was structured this way, and seems 100% LLM-proof. The interview was: give a talk about a cool/impressive technical thing you did for an hour and then answer questions from the interviewers about it for an hour. No way to succeed there without actually understanding.

      3. jubilanti · · focus · HN ↗
        stream it live on twitch or wherever, build a community there
      4. Lerc · · focus · HN ↗
        >My Rust skill is weak, and I learned absolutely nothing about the 6502 or CPU design.

        But you could have if you had have chosen to. Did you ask the AI what the slow parts were, and why?

        Why did you want to emulate a 6502 in the first place? If you just wanted to run some 6502 code then that's ok, you didn't really need to know much about the 6502. If you wanted to know how much better it could be if it had an single register that was the high byte of zero page address accesses then you probably would have to be engaged enough to find out, and the AI would help you answer questions. You could try rearranging the lookup table at the bottom of the die to see if you could make your own instruction set that would perform better overall. AI would help with that too, but to direct it to do so you would have to be learning something.

        1. LarsDu88 · · focus · HN ↗
          Ok, I did learn a little bit about the 6502. I would have learned far more by implementing the emulator itself.

          My actual goal was to understand if it was possible to build the equivalent of a rudimentary CPU inside of a living cell. At a high level, the 6502 shows me that most of the circuitry of the chip is not concerned with arithmetic, but rather orchestration and moving data.

          Same problem actually exists when trying to map this concept to a cell... the lack of wiring makes this more difficult.

          1. Lerc · · focus · HN ↗
            Yeah, the microcode ops are a pretty good demostration on how it is all just a sequence of connect-this-to-that with a bus for the this and fixed functions on all of the that.
Open on Hacker News to reply ↗

Unofficial Hacker News client; not affiliated with Y Combinator.