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GPT-Synopsys: Frontier Intelligence to Revolutionize Chip Design

189 points · 111 comments · giuliomagnifico

  1. fwlr · · focus · HN ↗

        GPT-Synopsys brings together OpenAI frontier models with Synopsys' EDA technology and domain expertise, enabling the specialized model [to] directly operate Synopsys' tools. Engineers will delegate design objectives … with agents running tools, interpreting results, implementing changes, and iterating toward verified outcomes for engineer review.
    
    
    “Agents will do all the engineering work. Engineers will delegate and review.” Lol, no, what the engineers are gonna do is get laid off.
    1. 01100011 · · focus · HN ↗
      Eventually... But it is materially relevant if that happens in 2 years or 10.

      While I think SWEs(yeah, not HW/chip but that's not my field) are cooked in 5 years, I think we'll be quite busy in the meantime fixing all the bugs that AI finds.

      1. throwaw12 · · focus · HN ↗
        > we'll be quite busy in the meantime fixing all the bugs that AI finds.

        Maybe that's the job of software engineering moving forward.

        Client: Hey, we have got these 125 microservices created by our agents and for the last 25 days they got stuck and can't add any new feature without breaking things, can you take this?

        Eng: Sure, lets sign a 24 month contract, my rate is 250$/hr

        Client: Sounds good

        1. badRNG · · focus · HN ↗
          Do you think that even today's frontier models are unable to handle this task?
          1. Aurornis · · focus · HN ↗
            Today's frontier models can't even handle 100% of the SWE benchmarks that have been around for longer than they've been training the models. Companies that are benchmaxxing their models against the benchmarks haven't even been able to get them to 100%.

            I've been using Astra and Opus 5.5 all week and I still have to intervene and tell them to do something different all the time.

            I think the people whose SWE jobs consisted of simple features, bug fixes, or tweaking .toml until the server works are on their way out.

            Someone needs to steer the LLMs around for now, though. There is a very long tail of non-trivial work and expertise that can't yet be replaced by a CEO telling the LLM to make the product work. There are many CEOs trying to do that right now and, outside of very simple CRUD apps, it doesn't work yet.

            1. xpct · · focus · HN ↗
              Oh, I like the point about not reaching 100% even with benchmaxxing. Do you know what the problems are that they fail?
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