Live data from Hacker News

An upgraded dev experience in Google AI Studio

developers.googleblog.com

71–80 of 126 posts

Re: An upgraded dev experience in Google AI Studio

#71
post #37
post #23

Earlier quoted context omitted.

Yes, I think people wrote them off WAY too quickly, I don't really want to get into a back and forth on if they should have done tech reviews even at all blah blah blah, yeah I agree wasn't an ideal way to introduce yourself to the world, but if you listen to their CEO, use their product, and pay attention to the team they've put together... I feel strongly they're onto something big.

Keep in mind that the company the CEO last founded before working on Rabbit was a crypto scam, though. They’re really not giving people much reason to trust them. Plus, why a separate device and not a mobile app?

I didn't know about their crypto stuff, but the R1 is still my fav thing to play with. I'm older and I don't want a phone with me all the time, I like to go for walks without the phone, but sometimes I still want something, camera + a bit of intelligence in the pocket is great, and the R1 is fun.

Re: An upgraded dev experience in Google AI Studio

#72
post #8
post #6

Earlier quoted context omitted.

I agree. Until about 2005 it was code-on-device and run-on-device. The tools and languages were limited in absolute capabilities, but easy to understand and use. For about the past 20 years we've been in a total mess of code-on-device -> (nightmare of deployment complexity) -> run-on-cloud. We are finally entering the code-on-cloud and run-on-cloud stage. I'm hoping this will allow domain experts to more easily creat…

Having worked on expert systems the difficulty in creating them is often the technical limitations of the end users. The sophistication of tooling needed to bridge that gap is immense and often insurmountable. I see the AI as the bridge to that gap. That said it seems like both domain expertise and the ability to create expert systems will be commoditized at roughly the same time. While domain experts may be happy th…

AI as the bridge to fix expert systems. Now I've heard it all!

Obligatory video (sound familiar?): https://www.youtube.com/watch?v=oLHc7rlac2s

Re: An upgraded dev experience in Google AI Studio

#73
post #58

Earlier quoted context omitted.

> Though Grok has been very generous as an alternate. I don't need it inserting console.logs and alert popups with holocaust denials and splash screens with fake videos of white genocide in my apps.

Wasn't it Google's models that showed America's founding father's as being black women? They all have their issues. I just want to get things done, before AI just takes over everything.

I care much more about text quality in May 2025 than image generation accuracy in Feb 2024. Generated images are not advertised as 'accurate', whatever that even means.

Re: An upgraded dev experience in Google AI Studio

#74
Finally an AI story here so I can post about leaving Anthropic.

Sorry guys, yes, Claude is the best model, but your lack of support for structured responses left me no choice.

I had been using Claude in my Saas, but the API was so unreliable I'd frequently get overloaded responses.

So then I put in fallbacks to other providers. Gemini flash was pretty good for my needs (and significantly cheaper), but failed to follow the XML schema in the prompt that Claude could follow. Instead I could just give a pydantic schema to constrain it.

The trouble is the Anthropic APIs just don't support that. I tried using litellm to paper over the cracks but no joy. However, OpenAI does support pydantic.

So i was left with literally needing twice as many prompts to support Gemini and Anthropic, or dropping Anthropic and using Gemini with OpenAI as a fallback.

It's a no-brainer.

So you guys need to pull your fingers out and get with the programme. Claude being good but also more expensive and not being compatible with other APIs like this is costing you customers.

Shame, but so long for now...

Re: An upgraded dev experience in Google AI Studio

#75
post #6

Earlier quoted context omitted.

I agree. Until about 2005 it was code-on-device and run-on-device. The tools and languages were limited in absolute capabilities, but easy to understand and use. For about the past 20 years we've been in a total mess of code-on-device -> (nightmare of deployment complexity) -> run-on-cloud. We are finally entering the code-on-cloud and run-on-cloud stage. I'm hoping this will allow domain experts to more easily creat…

>We are finally entering the code-on-cloud and run-on-cloud stage. Sounds like an absolute nightmare for freedom and autonomy.

How so? It's already status quo at companies with massive monorepos like Google and Meta. Your IDE connects to a remote computer and you write and run code on it. No more fiddling around with arcane dev env setup processes it's honestly really refreshing and doesn't feel restrictive at all. On the contrary I can nuke my cloud dev environment and bring it up again in minutes without worrying about losing anything.

Re: An upgraded dev experience in Google AI Studio

#76
post #36

Earlier quoted context omitted.

You're not explaining why you have such a good feeling - is their team uniquely good, far ahead? Is there something specific in how they architected it? I think a lot of people are headed in this direction, they have a bad brand, the need to totally restructure their team, and probably bad equity structure now and a need for a down round, it'll be hard to get good talent.

The rabbit OS project is literally the only correct path forward for AI. Hopefully they go for local on device inference, as they removes cloud costs, solving the burning pile of cash problem most AI companies have. Directly driving a user's device (or a device hooked up to a user's account at least) means an AI can do any task that a user can do, tearing down walled gardens. No more "my car doesn't allow programmati…

I feel like I am experiencing so peak level trolling right now or am completely out of the loop. Are you guys seriously trying to make the point that that rabbit R1 deceive is the best think to happen to AI?

Re: An upgraded dev experience in Google AI Studio

#77
post #42

Why did they hide the model thought details? Thoughts look like this now: Analyzing TypeScript Errors I'm currently focused on the actions/user.ts file, where I've identified a few issues. Specifically, I need to address a "Cannot find name" error related to UpdateUserDetailsFormState, and confirm that the intended target is UpdateUserDetailsFormInput. There might be some other discrepancies in the file that I need t…

It’s also rate-limited, which means the model will silently start skipping the chain of thought after a certain number of daily requests. Definitely a downgrade over the old version, though really it’s just Google deciding to offer less for free.

It allows you to use your own api ke.

Re: An upgraded dev experience in Google AI Studio

#78
post #7

They don't mention it in the demo but they should really take a page from Lovable and add a bidirectional sync to a git repository.

Get outta here! You can do that in AI Studio now? If so, I need to run, not walk, to the nearest computer. Too bad I am sitting on the toilet right now..

You can’t in AI studio, it’s available on loveable.

Re: An upgraded dev experience in Google AI Studio

#79
post #72
post #8

Earlier quoted context omitted.

Having worked on expert systems the difficulty in creating them is often the technical limitations of the end users. The sophistication of tooling needed to bridge that gap is immense and often insurmountable. I see the AI as the bridge to that gap. That said it seems like both domain expertise and the ability to create expert systems will be commoditized at roughly the same time. While domain experts may be happy th…

AI as the bridge to fix expert systems. Now I've heard it all! Obligatory video (sound familiar?): https://www.youtube.com/watch?v=oLHc7rlac2s

I think I’m missing your point. Perhaps we don’t share the same understanding of what I mean by AI and Expert Systems.

I wouldn’t call expert systems AI even though the early use of AI referred to symbolic reasoners used in expert systems.

If you are capturing domain knowledge from an expert and creating a system around it, what would you call that? I think modern AI will help deliver on the promise of expert systems, and I don’t think modern AI obviates the utility of such systems. Instead of a decision support system for human users it’s a decision support system for an AI agent. The same AI agent can interface with human users with a more familiar chat interface - hence acting as a bridge.

Most users will not be able to write Multidimensional Expressions or SPARQL queries and with an AI intermediary they won’t need to.

Re: An upgraded dev experience in Google AI Studio

#80
post #22
post #20

Earlier quoted context omitted.

Which Rabbit are you meaning? When I search for Rabbit AI I get a few hits and none of them seem like the most interesting startup around.

https://www.rabbit.tech/ They're developing some super interesting ways of the os developing itself as you use the device, apps building themselves, stuff like that. Super early days, but I have a really really good feeling about them (I know, everyone else doesn't and I'm sure thinks I'm nuts saying this).

Sounds like the old days of Windows where you just need to format and reload every so often to get everything working the way it should. You have to reset your AI sessions to get them back on track, why would an AI OS be any different?

I feel that the lower level you go the more you want knowledgeable human experts in the loop. There is so much nuance in OS development that I think it'll be a while before I trust AI do have free rein over my devices.

But at the current speed of AI innovation I won't be that surprised if that day comes faster than I expect.

Post reply on HN