What I would love is an ai that can reverse engineer a circuit board from close up pictures. Unfortunately all the models are lagging behind in visual understanding, especially for this kind of specialized work
Most circuit boards have many layers that aren't visible in pictures so I'm not sure what you're asking for is generally 100% doable.
That said you can guess a lot by the components and what's visible. I'll bet you that if you added a layer that recognizes the components, their position, orientation and visible connection and emits that as a JSON or some machine readable format the frontier models would be really good at telling you what's going on and even potentially filling in the blanks.
Oh this is fun! I've done something very similar but for narrative settings (rather than filmed locations) at https://historical-moviemap.inneuro.ai/ and was thinking it would be interesting to extend filmed locations as well... Looks like you got there first !
I started with filmed location, but I thought that I personally would love to view locations for video games and anime.
I am glad that you like it! I do not look at other websites before beginning a project, I just work with ideas which I personally find interesting and hope for the best.
You can actually get just as good results for packaged food if you just allow the agent to use a web search tool & keep a growing local database of "known food items". I did the same for a while, but it was quite expensive (this was a while back with less powerful models and required a bit of orchestration to make it reliable)
Since I discovered and started reading Lesswrong a couple years ago, I keep seeing dismissive or sneering comments across the (technical) internet, usually with very little substance - like this one (what does it even mean? I find the article rather reasonable and on point). I know that yudkowski's more recent stance is controversial (I haven't started reading his work on how AGI will kill us all so I'm suspending judgement ), but is there a valid reason for the widespread smugness or is it just a bandwagon effect?
How do the economics of your statement work out? Clearly inference providers don't have a time to ROI of 10 years on their hardware costs; and that's without even taking ongoing energy costs into account. What's missing here?
Inference providers have been getting a firehose of investor cash to keep the chips running (and are looking around very nervously as that firehose starts to sputter).
I very begrudgingly started paying for grok for this exact reason. They nailed the voice UI and it works incredibly well with android auto unlike Claude&Gemini (which don't work with android auto at all) and chatgpt (which works well but has hardcored system instructions that make it's voice mode feel like a dopamine deprived Gen Z)
Reddit absolutely has algorithmic feeds since it ipo'ed (maybe earlier but I used third party apps so I wasn't subjected to them). 90% of my home page is bullshit I didn't ask for.
What does "ai in production" even mean?
Writing production code ? Depending on how it gets reviewed and the qa mechanisms in place, could be stupid or not.
Read only access to production systems and data? Again it depends on safeguards, but probably not stupid, it can be very useful for debugging.
Unsupervised write access to production data or infrastructure? Incredibly stupid, but I dont think anyone serious does this.
Aside from display quality I wonder if humans are more perceptive to changes in specific colors? Towards the end of the game some examples felt impossible while others were trivial .
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