Waiting for the "OpenAI has no moat" crowd to chime in while they keep releasing new features and dominating market share. (And yeah, they just got half a trillion ). Edit: Downvote all you want, reality won't change. Oh, what happened with "Scarlett Johansson will take down OpenAI because she invented speaking like a woman", literally nothing. What about "AI will never replace Hollywood actors". What about that time…
From what they've shown so far, this is just an old Anthropic feature. They haven't got half a trillion either, look up more details. It's a wish they have, funding right now amounts to around $100 billion
Operator research preview
51–60 of 448 posts
Re: Operator research preview
#52Overall, Operator seems the same as Claude's Computer Use demo from a few months ago, including architecture requiring user to launch a VM, and a tendency to be incorrect: https://news.ycombinator.com/item?id=41914989 Notably, Claude's Computer Use implementation made few waves in the AI Agent industry since that announcement despite the hype.
38% on osworld vs 22% for Claude. That seems like a jump
Re: Operator research preview
#53Re: Operator research preview
#54I don't know why, but the approach where "agents" accomplish things by using a mouse and keyboard and looking at pixels always seemed off to me. I understand that in theory it's more flexible, but I always imagined some sort of standard, where apps and services can expose a set of pre-approved actions on the user's behalf. And the user can add/revoke privileges from agents at any point. Kind of like OAuth scopes. Ima…
If there are pre-approved standardized actions, it would be just be a plain old API; it would not be AGI. It's clear the AI companies are aiming for general computer use, not just coding against pre-approved APIs.
If your product has a well documented OpenAPI endpoint (not to be confused with OpenAI), then you're basically done as a developer. Just add that endpoint to the "app store", choose your logo, and add your bank account for $$.
Re: Operator research preview
#55Re: Operator research preview
#56I wonder, did Google or Microsoft (via Github Copilot) release anything like this yet? I'd not be surprised if all of them are currently working on something in this direction. "Agents", or something like that.
Google has had a similar, agentic feature on Pixel phones since 2018. (Back when people used to speak on the phone rather than do everything thru an app) https://research.google/blog/google-duplex-an-ai-system-for-...
Re: Operator research preview
#57I don't know why, but the approach where "agents" accomplish things by using a mouse and keyboard and looking at pixels always seemed off to me. I understand that in theory it's more flexible, but I always imagined some sort of standard, where apps and services can expose a set of pre-approved actions on the user's behalf. And the user can add/revoke privileges from agents at any point. Kind of like OAuth scopes. Ima…
In nearly every case (that an end user cares about), an API will also have a GUI frontend. The GUI is discoverable, able to be authenticated against, definitely exists, and generally usable by the lowest common denominator. Teaching the AI to use this generically, solves the same problem as implementing support for a bunch of APIs without the discoverability and existence problems. In many ways this is horrific compute waste, but it's also a generic MxN solution.
Re: Operator research preview
#58From the slide deck on the livestream: "[Operator safety risks and mitigations] Harmful tasks: User is misaligned" Looking forward to seeing some more of the examples for when openai considers their users as "misaligned", whatever that actually even means anymore.
I assume here it means complying with requests that could harm other people. It's pretty common for businesses to tell their employees not to assist customers doing bad things, so not surprised to see AIs trained to not to assist customers doing bad things. Examples: - "operator, please sign up for 100 fake Reddit accounts and have them regularly make posts praising product X." - "operator, please order the component…
Re: Operator research preview
#59From the slide deck on the livestream: "[Operator safety risks and mitigations] Harmful tasks: User is misaligned" Looking forward to seeing some more of the examples for when openai considers their users as "misaligned", whatever that actually even means anymore.
I assume here it means complying with requests that could harm other people. It's pretty common for businesses to tell their employees not to assist customers doing bad things, so not surprised to see AIs trained to not to assist customers doing bad things. Examples: - "operator, please sign up for 100 fake Reddit accounts and have them regularly make posts praising product X." - "operator, please order the component…
Re: Operator research preview
#60Overall, Operator seems the same as Claude's Computer Use demo from a few months ago, including architecture requiring user to launch a VM, and a tendency to be incorrect: https://news.ycombinator.com/item?id=41914989 Notably, Claude's Computer Use implementation made few waves in the AI Agent industry since that announcement despite the hype.
This looks like its in browser through the standard $20 Pro fee, which is huge. (EDIT: $200 a month plan so less of a slam dunk but still might be worth it)
Is there any open source or cheap ways to automate things on your computer? For instance I was thinking about a workflow like:
1. Use web to search for [companies] with conditions
2. Use linked in sales navigator to identify people in specific companies and loose search on job title or summary / experience
3. Collect the names for review
Or linked in only: Look at leads provided, and identify any companies they had worked for previously and find similar people in that job title
It doesn't have to be computer use, but given that it relies on my LinkedIn login, it would have to be.