Is there anything like this for ASIC design / Verilog?
RapidGPT for FPGAs maybe. https://rapidsilicon.com/rapidgpt/
ChatGPT for Hardware Design
151–160 of 165 posts
Re: ChatGPT for Hardware Design
#152I wanted to give it a try, so I went to sign-up with Github but the process failed. So then I signed-out of Github and tried to login again but Flux loaded someone else's profile! Had to de-authorize Flux from my Github.
neodypsis reached out and we got to the bottom of this.
When a user visits a Flux project without being signed in we create a temporary anonymous user record for them so that they can interact with the document. These user records are populated with human-like names (which is partially to blame for the confusion here. We'll fix that.)
When a user signs up their anonymous record is updated with the details they provide but the record id remains the same so we can keep the user's interaction history.
In this case when the Github sign up failed the process stopped half way. The anonymous account was never updated with the username neodypsis provided but appeared to be someone else's account (a human name followed by several numbers).
We've verified that the account was indeed linked to neodypsis' Github profile and no-one else had ever had access to it.
We've started some work to improve the OAuth sign up process.
Re: ChatGPT for Hardware Design
#153Earlier quoted context omitted.
I have no idea what you're talking about, but my experience 100% mirrors yours in most cases as a programmer. GPT-4 produces a lot of my code now. I'm leap-frogging my team a bit in productivity because they still don't like it, but it's so close to being undeniable.
I’ve been unable to replicate this. Could you please show me an example? I ask everyone who makes this claim and have yet to see a concrete example. I just can’t get it to do anything useful for me. I feel like I’m missing the boat!
It wont write your entire program, and you have to already know enough code to know when it gave you garbage, but.. I find I can have it tackle small chunks and in some cases even glue them together in a usable way. It can often remind me of stratigies I would not have thought to use, good or bad. It can also do some basic debugging, including seeing things my tired eyes often miss. That said, you kinda already need to be able to code or you wont know the wheat from the chaff. It feels a lot like managing a remote esl person you will never meet.
Re: ChatGPT for Hardware Design
#154Re: ChatGPT for Hardware Design
#155Earlier quoted context omitted.
The largest models like GPT4 have the interesting property to really, really finish what you started. If you start with flaws of any kind, it will continue to produce them. The inverse is true as well. This is an actual thing[1] and it’s something larger models are actually worse (better?) at. They score higher and higher on the loss function (did I predict correctly), but their utility (does it work) goes down. Just…
> If you start with flaws of any kind I asked it to start and it provided me the flaws :D I can share the prompt if you'd like.
Please do, I’m curious.
Re: ChatGPT for Hardware Design
#156Earlier quoted context omitted.
None of you are. You are using the tool improperly. The tool cannot spit out entire applications yet, especially if all you told it was the final outcome. I see GPT-4 as a junior programmer in my team who is unusually productive. It cannot do the design for me, but executing it is a piece of cake for it.
> The tool cannot spit out entire applications yet, Yesterday I had a ticket at my job to extend some functionality in a code base that was probably 200 files and 100+ lines of code in each file, and that's before any `import` references to other libraries. How can you feed all of these tokens to GPT-4 in a cost effective way so that it knows about your application well enough to recommend/pull off code completion at…
I'm working on exactly this. I think we can use embeddings and langchain agents to do this.
Re: ChatGPT for Hardware Design
#157Earlier quoted context omitted.
i give AI at least another 500 years until the I in AI actually stands for intelligence. See what I did there? Everyone can make outrageous claims without backing them up whatsoever :)
Nope. You added nothing of value. You can be a fool and deny numerous forms of narrow AI while AGI is a flying car distraction that doesn't matter. It is your error conflating the two.
Yes. My claim is not TRULY outrageous /s
Re: ChatGPT for Hardware Design
#158Re: ChatGPT for Hardware Design
#159Re: ChatGPT for Hardware Design
#160Earlier quoted context omitted.
Still wondering about your friends' MegaCryptoPolis investments
What are you talking about?
this obviously https://news.ycombinator.com/item?id=26899961