| ▲ | sharkjacobs 9 hours ago |
| > Developed from design to production in nine months, accelerated by OpenAI’s models > the use of OpenAI models to accelerate parts of the design and optimization process. I wish there was more about this. As is I kind of have to assume that this is just meaningless marketing, like saying development was accelerated by Microsoft Office or their 5k LG Ultrafine 40-inch monitors. Like, if this was as big a deal as it kind of vaguely implies, they would be making a bigger deal of it, right? |
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| ▲ | zgao 8 hours ago | parent | next [-] |
| Chip CEO here. It really depends on what "design" or "production" means. Does "design" mean that the design was complete? Does "production" mean the beginning of production, i.e. tapeout? If measuring from RTL-freeze to tapeout, this is a fairly typical (even somewhat unimpressive) timeline (accounting for some unexpected issues) for a large, complex 3nm chip. If measuring from concept (no RTL at all, block diagram of architecture) to tapeout, this is an amazing timeline. The truth is probably somewhere in between. A more concrete statement would use actual technical milestones and gates. |
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| ▲ | otterdude 7 hours ago | parent | next [-] | | Not a chip CEO, but I read this article and thought that they're working on some kind of application specific chip only for serving models. Similar to how an FPGA can optimize certain tasks. Given constant weights / biases of a Transformer / DNN you could use pipelining to feed forward calculations through the array one layer at a time. For DNN's with thousands of layers you might see 1:1 speed up per layer channel. I doubt they would undergo this process for marginal gains. | | |
| ▲ | zgao 5 hours ago | parent | next [-] | | Yes, my statement was not about the quality or performance of the chip -- simply the tapeout timeline that was stated, by itself. | |
| ▲ | xdavidliu 7 hours ago | parent | prev [-] | | i don't understand what the second paragraph is saying. | | |
| ▲ | nine_k 6 hours ago | parent | next [-] | | In very crude terms, AFAICT, if you have a bunch of matrix multiplications, but one of matrices (the one with model weights) doesn't change, you can seriously speed up the computation. One thing is that you don't need to re-fetch the elements of the constant matrix, you can keep it near the ALUs. Then you maybe can detect and ignore sparse / empty blocks by marking them once. IDK how the custom hardware exploits this; would love to hear any ideas! | | | |
| ▲ | otterdude 6 hours ago | parent | prev [-] | | Basically getting around the branch predictor problem with generalized compute architectures https://en.wikipedia.org/wiki/Branch_predictor |
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| ▲ | pama an hour ago | parent | prev | next [-] | | If you look at the timelines for the hiring of the hardware team, this was an extremely fast and high risk implementation from concept to tapeout. Amazing it works at all during bringup. | |
| ▲ | nonethewiser 8 hours ago | parent | prev | next [-] | | >If measuring from RTL-freeze to tapeout, this is a fairly typical (even somewhat unimpressive) timeline (accounting for some unexpected issues) for a large, complex 3nm chip. Even for a company’s first design? | | |
| ▲ | hailwren 7 hours ago | parent | next [-] | | I don't think you get the newcomer novelty buff when your val approaches 13 digits. | | |
| ▲ | RugnirViking 5 hours ago | parent [-] | | Big companies are lumbering behemoth, crude assemblages of barely cobbled-together incentives and principal agent problems in a trenchcoat. Getting them to change direction, or worse, try something new at scale, is a massive undertaking | | |
| ▲ | mlinhares 4 hours ago | parent [-] | | Nah, you just need to get the CEO behind it. Most coordination issues get solved when the CEO is breathing down your neck to get something done. Trouble is that they don't do this enough. | | |
| ▲ | NBJack 3 hours ago | parent [-] | | Eh, zero guarantees on that one. The Fire Phone was Jeff Bezos' personal baby, and we know how that went. Then there was the Apple G4 Cube with Steve Jobs, the Model X' Falcon Wing doors and Elon, and lets not even talk about the Metaverse and Zuck. | | |
| ▲ | aleph_minus_one 3 hours ago | parent | next [-] | | > The Fire Phone was Jeff Bezos' personal baby, and we know how that went. I'd rather guess that Jeff Bezos' opinion on what makes a good phone is/was different on the opinion of many potential buyers. | |
| ▲ | kQq9oHeAz6wLLS 2 hours ago | parent | prev [-] | | Actually, you've provided examples that prove the point. None of those were especially good (though everyone wanted the G4 Cube), and yet they made it to market anyway. Why? Because the CEO was behind it, breathing down their necks. |
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| ▲ | zgao 5 hours ago | parent | prev | next [-] | | The typical way a chip effort in a non-chip company works is that the "design" is the RTL (e.g. SystemVerilog that defines the behavior of the chip) and then this is handed off to a third-party "design house" (such as Broadcom) that turns that code into a real image of a chip, which is called a GDS (basically you can think of this as a very big layer by layer photoshop file) that can actually be sent to a fab. This is called "backend design", in contrast to the "frontend design" (the RTL itself). As another commenter said, Broadcom is very experienced with backend design (as well as the supply chain management, testing, etc. that comes after the chip is taped out) and so this can't be regarded as a "first chip". Richard Ho (the head of hardware at OpenAI) is also extremely experienced and used to be the head of the Google TPU effort -- where he actually worked with Broadcom in a similar tapeout already. So yes, this is not a "first design"! | | |
| ▲ | surajrmal 3 hours ago | parent [-] | | I wonder if broadcomm borrowed IP between the Google tpu and this design. How would you ever know it didn't happen? | | |
| ▲ | zgao 37 minutes ago | parent | next [-] | | There is no real way to prevent this, but there are ways to increase the cost of doing so. For example, one level of obfuscation is, OAI could internally run synthesis and adopt a “netlist-in” model in which Broadcom gets a netlist - a description of a huge amount of gates and wires and how they connect - instead of the plain Verilog (or other language). It is possible to reverse engineer the netlist, but it’s a certain level of indirection and effort. A big part of the semiconductor industry also operates on a reputation basis. Broadcom (like TSMC) is a neutral party as a design house, but if they did something like this, it might ruin that reputation. | |
| ▲ | kQq9oHeAz6wLLS 2 hours ago | parent | prev [-] | | More likely that the AI training set contained the IP of others, and we all know how that turns out. |
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| ▲ | formerly_proven 7 hours ago | parent | prev [-] | | This isn't Broadcom's first design. | | |
| ▲ | swiftcoder 6 hours ago | parent [-] | | Yeah, "first chip" here likely means they contracted Broadcom (or a firm with similar experience) to do all the heavy lifting. Building out your own in-house teams for this sort of thing is a decade-long project - just look how much inside Apple's early chips was licensed ARM / PowerVR cores | | |
| ▲ | MisterTea 6 hours ago | parent [-] | | Apple didn't have the talent in-house until they bought Intrincity who worked with Samsung on Apple's earlier Arm chips as well. https://en.wikipedia.org/wiki/Intrinsity | | |
| ▲ | selectodude 5 hours ago | parent [-] | | I think the folks at PA Semi had some chops too. | | |
| ▲ | stinkbeetle 4 hours ago | parent | next [-] | | PA Semi group did the logic designs. I think they're talking about physical design though. | |
| ▲ | reinitctxoffset 4 hours ago | parent | prev [-] | | The way I heard it PA Semi was the singular driving force that led to Apple Silicon, but I'm not any kind of insider that's just the chatter I heard. Whoever it was, whooo, that's hot shit. I remember an M1 MacBook Air just cleaning the clock of an Intel MacBook Pro and thinking "x86_64 has real competition again". Great silicon. I'm over it with not having root on my own machine, so I've left the ecosystem, but it's really nice hardware, can't dispute that. | | |
| ▲ | re-thc an hour ago | parent [-] | | > The way I heard it PA Semi was the singular driving force that led to Apple Silicon And a lot of them are sitting under Qualcomm via the Nuvia acquisition. |
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| ▲ | dndmfnfn an hour ago | parent | prev [-] | | [dead] |
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| ▲ | Aurornis 8 hours ago | parent | prev | next [-] |
| The hardware description languages (HDL) used in chip development are like programming languages. The existing models understand them and can do a lot with them. You don’t need to have separate, specialty models designed for this work to use LLMs in chip design workflows. Design verification also involves a lot of traditional programming which benefits from LLMs. So it’s not meaningless at all. You could download some of the open source chip design software today and the LLMs could even help you get started on your own tiny chip if you are so interested. |
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| ▲ | knicholes 8 hours ago | parent | next [-] | | I tried making a button using Claude entirely (including the 3D printed enclosure) and it effed up pretty hard with the traces and the header spacing. The project was a big red arcade button that plays the "ah-my-groin.mp3" when pushed (from Simpsons). It did cool work on saving battery life, and the 3d enclosure was awesome, but yeah, I'm convinced I'd have to do another version or two of the custom chip until it came back right. I used a Blender MCP for the 3d modeling. I used a KiCAD MCP server for the chip design/validation. I think we're not there yet. I've been meaning to look at this flux.ai to see if it has the prompts/workflow worked out better than what I was able to cobble together in a few hours. Maybe Alteryx's MCP server would have been better. I'll try that this weekend for another board I've got. | | |
| ▲ | Aurornis 8 hours ago | parent | next [-] | | > I tried making a button using Claude entirely (including the 3D printed enclosure) and it effed up pretty hard with the traces and the header spacing. PCB design and 3D CAD design are different topics. Hardware Description Languages are closer to programming languages than CAD. Look at some Verilog to get an idea - https://en.wikipedia.org/wiki/Verilog | | |
| ▲ | knicholes 8 hours ago | parent [-] | | Right. KiCAD for PCB design. Blender for 3D CAD. Oh, are you saying I should have used something other than the KiCAD MCP server for better results? | | |
| ▲ | VorpalWay 6 hours ago | parent | next [-] | | Designing circuit board and 3D models (even using something like OpenSCAD) is a very spatial process today. You are dealing with coordinates one way or another. This is very unlike how FPGA and (I assume) ASIC is done. That is more like a traditional programming language but everything happens all at once (no sequence of statements outside tests, if you need that you have to write a state machine yourself). You define logic expressions between signal, add stateful latches, etc. But you never specify the physical layout. Instead you feed your description to a tool that acts a constraint solver/optimiser that computes the layout for you (this is for FPGAs called synthesising IIRC, it is akin to a compiler). Typically quite slow, even for small circuts like we did at university it took minutes, and for large circuits it might easily days. Now, this raises the question, what if you design a PCB net list using AI, but then use traditional autorouting and layout? I believe that can also be done, but I have no experience designing PCBs, so I don't know how well it works. | |
| ▲ | y1n0 5 hours ago | parent | prev | next [-] | | For digital chip design, research Verilog and/or SystemVerilog, and for tools, check out verilator and the OSS cad suite: https://github.com/YosysHQ/oss-cad-suite-build | |
| ▲ | quadrature 7 hours ago | parent | prev | next [-] | | VHDL is not a language for spatial design. Its more akin to a programming language with circuit semantics. | |
| ▲ | dcrazy 8 hours ago | parent | prev | next [-] | | They’re saying that VHDL is an entirely different concept than physical modeling. | |
| ▲ | giancarlostoro 7 hours ago | parent | prev | next [-] | | You're comparing apples and oranges. | |
| ▲ | cwillu 7 hours ago | parent | prev | next [-] | | Meta: can we not downvote people who are clarifying what they're saying and asking questions, even if they're wrong about something, if the content isn't otherwise objectionable? | | |
| ▲ | baq 7 hours ago | parent | next [-] | | I didn’t downvote, but the OP is either a troll or someone who doesn’t want to notice he doesn’t know what he’s talking about. Either way we want less of that on HN. | | |
| ▲ | knicholes 6 hours ago | parent [-] | | I'll acknowledge that I don't know what I'm talking about. I really appreciated the clarity! Surely you find value in knowing that creating your own custom chips is almost doable by someone who doesn't know what they're talking about! (also, I am a troll, but in this case, just clueless) | | |
| ▲ | Lukas_Skywalker 6 hours ago | parent [-] | | Maybe the confusion stems from the word "chip". Creating a chip usually means designing and producing a microcontroller or a processor, not a printed circuit board that you populate with existing chips. | | |
| ▲ | knicholes 4 hours ago | parent [-] | | Ohhhhhh! Yes, that's exactly the problem. It all makes sense now. I was just piecing together an existing microcontroller and a mp3 module by printing a custom circuit board. |
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| ▲ | 5 hours ago | parent | prev [-] | | [deleted] |
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| ▲ | tamimio 7 hours ago | parent | prev [-] | | One (kicad) make the board, the other (blender) make the casing for it. Both are “hardware” but is electronics and the other is mechanical. Electronic one AI can do a good job, I can’t wait for it to fully built the whole circuit for you based on your specs. |
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| ▲ | rpcope1 7 hours ago | parent | prev [-] | | PCB layout is an art, and doesn't seem to map well to LLMs (I tried for shits and giggles recently). Claude in general, kind of like code, does a lot of redundant belt and suspenders stuff in the schematics it generates (if it can generate them at all). It's one of those things that's really not there yet outside of the simplest designs. | | |
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| ▲ | ses1984 8 hours ago | parent | prev | next [-] | | The question isn’t whether or not they employed a particular tool, the question is how big of an impact did it have. | | | |
| ▲ | nradov 7 hours ago | parent | prev | next [-] | | Most HDL code is locked up behind corporate firewalls and not available as training data. While LLMs can handle it to an extent there's a lot of room for improvement. I'll bet that OpenAI and their competitors are racing to license this IP from major hardware vendors in order to compete in the chip design vertical. | | |
| ▲ | tonfa 6 hours ago | parent | next [-] | | Does it work better when using compiler based ecosystem (e.g. https://github.com/llvm/circt) | |
| ▲ | bsder 5 hours ago | parent | prev [-] | | There is quite a lot of Verilog/SystemVerilog and VHDL code in the wild. And hardware description language code is very simple and straightforward relative to programming code. And the two things that take up VAST amounts of time in ASIC design are testbenches and timing closure. A LOT of hardware design is testbenches to verify things. AI is REALLY GOOD at generating things like testbenches. And nobody really cares if the quality of your testbench code sucks as long as it validates what it claims to. I don't know how good AI is at timing closure, but I wouldn't necessarily be surprised if it is pretty good at it up to the physical point. That's lots of textual output which you can put a constraint on. Everything involving physical design, though, tends to be a disaster waiting to happen if you let AI loose on it. |
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| ▲ | doxeddaily 7 hours ago | parent | prev | next [-] | | This reminds me of the dude on youtube building a chip fab in his shed. | |
| ▲ | holoduke 5 hours ago | parent | prev | next [-] | | One day we can design our own pcb with chips, hardware and other io. Companies will accept these as files and you can collect your pcb the same day. I think in China they are doing this already | | | |
| ▲ | IshKebab 8 hours ago | parent | prev [-] | | > The existing models understand them and can do a lot with them. In my experience they are not especially good at SystemVerilog. There's a lot of knowledge about it that is locked behind paywalls and it's very niche. My guess is the "from scratch" here is quite the exaggeration. Otherwise why did they need Broadcom? | | |
| ▲ | whynotminot 8 hours ago | parent | next [-] | | Doesn’t Broadcom bring a lot more to bear here than just Verilog? Including relationships with the actual fabricators. | |
| ▲ | aseipp 6 hours ago | parent | prev | next [-] | | Not having a free toolchain that can actually handle the real language has probably been pretty bad on the downstream public knowledgebase. Hopefully Verilator can eventually close that hole, and there can be more high-quality designs and codebases incorporated into future models. Claude is at least good enough to write SV that triggered a compiler crash or two. :) | |
| ▲ | 6 hours ago | parent | prev [-] | | [deleted] |
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| ▲ | aurareturn 6 hours ago | parent | prev | next [-] |
| Broadcom already has a ton of IP for AI SoCs. I'm guessing the hard parts of this inference chip was already designed by Broadcom and OpenAI simply told Broadcom what it wanted. It's likely very similar to Google's TPU. Early testing shows that the first-generation accelerator will deliver performance per watt substantially better than current state-of-the-art
What is substantial here? Vera Rubin is shipping in volume later this year and it is expected to be 10x more power efficient for inference than Blackwell.[0] Even if they're already taped out the chip, getting bugs fixed, getting chips manufactured, getting HBM allocation, getting a rack design, hooking them up together, putting them in a data center will likely take at least another 12 months or likely more. By the time this chip is in data centers in volume, they're likely competing against Vera Rubin Ultra or maybe even Feynman.Personally, I don't think OpenAI should have invested in this project. It's too early for them. They should have focused on models like Anthropic and win there. When they're profitable, they can take on these projects. The risk here is very high for OpenAI because AI has a hard cap in energy. If you have a gigawatt, you should only install the best chips. If Nvidia's chips are better, then this is a wasted project and likely wasted billions. [0]https://developer.nvidia.com/blog/scaling-token-factory-reve... |
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| ▲ | cptskippy 6 hours ago | parent [-] | | Why do you assume Broadcom has a ton of IP for AI SoCs but hasn't done any of the other work around data center scale deployments? | | |
| ▲ | aurareturn 6 hours ago | parent [-] | | They have. That's why OpenAI was able to get a working demo in 9 months. But going from a small scale system to a full fledged data center deployment is likely much harder. I don't know how much of the things outside of the chip Broadcom has vs Google's proprietary tech that is not shared with Broadcom. Nvidia's Vera Rubin has 6 unique chips working together in a single rack.[0] [0]https://developer-blogs.nvidia.com/wp-content/uploads/2026/0... | | |
| ▲ | threecheese 6 hours ago | parent | next [-] | | I’m just happy to see diversity here; sometimes I feel like Nvidia is going to eat the world, with buying other fabs and branching out - or up, I guess - from chips and racks to models, frameworks, and end user stuff. | |
| ▲ | surajrmal 3 hours ago | parent | prev [-] | | I thought most of the Google tpu magic is on wiring up these chips into supercomputer like clusters with specialized interconnects and whatnot. The chips themselves are less interesting in isolation. | | |
| ▲ | luma an hour ago | parent [-] | | I know nothing of what is happening here but Broadcom has a lot of IP in high speed/low latency data transfer from chip to datacenter scales. |
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| ▲ | dofm 9 hours ago | parent | prev | next [-] |
| Right. There are two possible meanings and shades in-between: 1) OpenAI genuinely have AI technologies that can improve chip design (bold, unlikely claim, needs evidence) 2) OpenAI designed test/verification models and kernels that could be run on the simulated hardware to test its performance As you and others have said, it's hard to trust when they are happy to write something that could easily only mean the latter but sounds like the former. |
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| ▲ | lovasoa 8 hours ago | parent | next [-] | | 3) The engineers working on the chip used ChatGPT from time to time. | | |
| ▲ | fl4regun 8 hours ago | parent | next [-] | | at the hardware company I work at, people are now using claude code and developing skills for it to do basic stuff like triage or do initial debug on failing tests, search for potential causes in RTL, generate skeleton documentation for designs etc | | |
| ▲ | dofm 8 hours ago | parent [-] | | But isn't this rather the ordinary product of an LLM, now? Is it worth the claim that they are making in a press release? | | |
| ▲ | girvo 4 hours ago | parent [-] | | > Is it worth the claim that they are making in a press release? Definitely, yes, because being vague about it like they have been lets investors fill-in-the-blanks with whatever they want it to mean. |
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| ▲ | Catloafdev 8 hours ago | parent | prev | next [-] | | I'd be shocked if it was anything more than this. | | |
| ▲ | changoplatanero 8 hours ago | parent | next [-] | | Browsing openai's job postings in the past few months is enough to contirm that it's more than this. They are for sure making serious efforts at building ai for chip design. | | |
| ▲ | xnx 8 hours ago | parent [-] | | Impossible to know. Could be fake/aspirational roles to impress investors with their grand vision. | | |
| ▲ | NitpickLawyer 7 hours ago | parent [-] | | Jesus. This is tinfoil hat territory now. Why would they fake something like that? ANY company in this field would try to become free from nvda. Goog has done it already, amazon has their own thing, so it can be done. Not saying they'll 0shot this vertical, but ffs, they don't need to fake anything. They are making an effort, and it would be insane to think they aren't. Might work, might not work, but to even think that the effort is fake is going too far. | | |
| ▲ | luqtas 6 hours ago | parent | next [-] | | https://antoniocortes.com/en/2026/03/10/ghost-jobs-the-econo... | | |
| ▲ | NitpickLawyer 6 hours ago | parent [-] | | I'm not saying this isn't a thing. I'm saying oAI doesn't need to fake trying to make a chip or hiring people to make AI better at chip making, or dogfooding or anything like this. It's obvious they're doing it. They'd have 0 reason to fake something like this "for the investors". Come on! |
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| ▲ | reinitctxoffset 3 hours ago | parent | prev | next [-] | | It kinda depends on what your prior is. Some companies do a press release and I immediately pay attention or even take action. Other companies? Fool me once Altman, let's see the thing at scale making money. Near frontier AI is clearly relevant to some kinds of logic design, I'm learning some Hardcaml at the moment and yeah, AI is super helpful. Can it leapfrog a company without hardware experience to near the front of the pack of companies with decades of hardware experience? Less obvious. Unrelatedly, would OpenAI dramatically overstate something to manipulate the press and public and capital markets? It's arguably their core competency . AI is going to matter in logic design and synthesis. How much, how soon, and where are open questions. | |
| ▲ | Planktonne 5 hours ago | parent | prev [-] | | They have a history of lying and making grandiose claims. It's unreasonable to extend them the benefit of the doubt again. |
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| ▲ | signatoremo 7 hours ago | parent | prev [-] | | Do you have inside knowledge? |
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| ▲ | reducesuffering 8 hours ago | parent | prev [-] | | From time to time? Lol you must realize, frontier lab eng are using Codex/Claude-Code 99% in loops, on models the public doesn't have access to. Why? Because it works. Just a matter of time before humans are out of the loop and what comes next is a black hole "The future is here, it's just not evenly distributed" |
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| ▲ | wongarsu 8 hours ago | parent | prev | next [-] | | Or OpenAI accelerated the design and optimization process by summarizing emails exchanged during the design and optimization process, or made it possible to ask an AI questions about meeting notes | |
| ▲ | Aurornis 8 hours ago | parent | prev | next [-] | | > 1) OpenAI genuinely have AI technologies that can improve chip design (bold, unlikely claim, needs evidence) Chip design languages (HDLs like Verilog or VHDL) are well understood by LLMs. They don’t need specialty tools to use GPT-5.5 or other LLMs with them. You could even try it yourself with open source chip design tooling if you wanted to see it. | | |
| ▲ | dofm 8 hours ago | parent | next [-] | | Yes, obviously. But do we think LLMs without access to proprietary information do a better job with them than Broadcom's human experts or existing proprietary tools at this level of operations? It is still a bold claim and it still needs evidence. We would obviously get a bit more of the evidence if it were to be more useful for the upcoming IPO than this rather open-ended, reinterpretable phrasing. | | |
| ▲ | fc417fc802 2 hours ago | parent [-] | | > do a better job with them than Broadcom's human experts or existing proprietary tools No, obviously. They'd be expected to do a substantially worse job and yet still drastically accelerate the design process. LLMs make all sorts of dumb mistakes when writing c++ or python yet are nonetheless massively beneficial. |
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| ▲ | dpe82 8 hours ago | parent | prev [-] | | I don't understand why you're getting downvoted. I've used GPT-5.5 and Opus both for FPGA design with good results. We built a lot of tooling around it to help the models, but even without that they're definitely capable of designing digital logic. | | |
| ▲ | dmitrygr 6 hours ago | parent [-] | | My guess: it is that those who KNOW the subject realize that LLMs suck at it, and those who do not, do not realize it, since their output is plausible, and sometimes even works. This actually plays out across every field and is well documented. An expert can recognize the hallucinations and bullshit coming out of LLMs, while non-experts see plausible output and do not know enough to know it is BS. | | |
| ▲ | stevenhuang 4 hours ago | parent [-] | | Wrong. Myself and colleagues know the subject and they are useful in FPGA design. You should stop hallucinating about topics you don't have experience in. |
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| ▲ | wmf 8 hours ago | parent | prev | next [-] | | https://dl.acm.org/doi/10.1145/3785362 https://developer.nvidia.com/culitho https://www.synopsys.com/blogs/chip-design/analog-layout-syn... https://arxiv.org/abs/2302.06415 | |
| ▲ | etempleton 7 hours ago | parent | prev | next [-] | | I feel like they would be very specific if it was no.1. | |
| ▲ | oceanplexian 8 hours ago | parent | prev | next [-] | | > OpenAI genuinely have AI technologies that can improve chip design (bold, unlikely claim, needs evidence) Why is that a bold and unlikely claim? Are you saying that AI, which has been proven to cure diseases, solve our hardest math problems, write complex computer code and generate entire generated worlds and HD video from a simple prompt would somehow be like, my bad, I guess I can't design chips? | | | |
| ▲ | scrollop 8 hours ago | parent | prev [-] | | Perhaps they used gpt 5.5 mini to draft emails. Create a coffee schedule. |
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| ▲ | nixon_why69 9 hours ago | parent | prev | next [-] |
| There is a lot of verilog out there, it's pretty feasible that they had AI assistance writing more to design their chip. It doesn't have to be revolutionary, it could just be AI-assisted design and lined up well enough with their operations for a custom ASIC to be worth it. |
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| ▲ | KeplerBoy 8 hours ago | parent [-] | | Also there's some much boilerplate around everything. Writing a testbench with codex is extremely feasible. This is the kind of verifiable feedback loop the agents shine at. |
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| ▲ | nickvec 6 hours ago | parent | prev | next [-] |
| I feel like "the use of OpenAI models to accelerate parts of the design and optimization process" just means that engineers were using ChatGPT to sanity check their designs and suggest potential optimizations, though that's just my take (and I'm quite cynical about AI marketing in general!) |
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| ▲ | blitzar 7 hours ago | parent | prev | next [-] |
| > the use of email, spam filters and spellchecker to accelerate parts of the design and optimization process honestly you don't realise how much more efficient it is until you are stuck using the wrong flavour of outlook, the spam filter breaks or sloppy spelling, punctuation and grammar force you to clarify details needlessly. |
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| ▲ | SCUSKU 6 hours ago | parent | prev | next [-] |
| My girlfriend works at Broadcom doing chip design, and based on what she's told me they JUST got claude code like 3 weeks ago, so I really doubt this means anything beyond them vibe coding some scripts or something... |
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| ▲ | 7 hours ago | parent | prev | next [-] |
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| ▲ | figassis 8 hours ago | parent | prev | next [-] |
| VHDL, VLSI are well documented languages, with well build test and verification frameworks and harnesses. Even just by iteration you could get there if you have the money to pay for it. |
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| ▲ | HarHarVeryFunny 7 hours ago | parent | prev | next [-] |
| I would assume they've already made as big a deal of it as they can without outright lying too much. Read the rest of the press release. FWIW, Google is now on their 8th generation TPU, having put out the last 4 generations on a 1-year cadence. |
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| ▲ | FanaHOVA 9 hours ago | parent | prev | next [-] |
| NVIDIA already designs most of their chips using AI. Why would you assume it's meaningless marketing? |
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| ▲ | fecal_henge 8 hours ago | parent | next [-] | | Perhaps because they are suggesting what they are doing is novel. | | |
| ▲ | DoctorOetker 7 hours ago | parent [-] | | novel to whom, the reader or the industry? something can be non-novel in the industry, yet novel to the reader, at which point it is useful ... for such readers. |
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| ▲ | nullsanity 8 hours ago | parent | prev [-] | | [dead] |
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| ▲ | seydor 8 hours ago | parent | prev | next [-] |
| realistically, how hard are AI accelerators to design? |
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| ▲ | napierzaza 4 hours ago | parent | prev | next [-] |
| [dead] |
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| ▲ | xnx 8 hours ago | parent | prev [-] |
| AlphaChip is what a chip design with AI is. I'm very suspicious that OpenAI has anything like this or they would be bragging about it. https://deepmind.google/blog/how-alphachip-transformed-compu... |