So the policy document literally contains this example? Why would they include such an insane example?
So the policy document literally contains this example? Why would they include such an insane example?
Also, I thought Jules was the "coding agent" they are working on. Now this is taking it over or is this like another case of Google self-competing?
Someone needs to take charge at this company with a strong vision, because they are all over the place and spreading themselves thin, which in turn spreads thin the customer/brand equity.
At this point, as someone who: - Has been writing Android code for about 13 years now
- Has collaborated with Google on stuff
- Lead Google developer communities and conferences
- Knows many, many GDE's and has discussions with them often
- Uses Gemini API for their product
I'm so damn confused. How is a normal customer expected to understand then?
- They have 2 SDK's for communicating to their Gemini API.
- The documentation is spread and thrown all over the place.
- Half the time I'm trying to do something I have to dig through their code to find how to.
- The features I really want are rate limited or available only to private testers.
- They have 3 coding agents now.
- Even thought they have access to my Google Account and my phone, their Gemini app is useless.
- I tried to do a basic thing (add a service account) in Google Cloud recently, which wasn't allowed due to default rules that are deprecated and are so confusing to change due to their confusing UX.
The only usable thing is the AI studio, which is a great tool for experimenting with diff models and improved the DX of getting a Gemini API key by a mile.
I'd say congrats on the release, but honestly this is such a mid low hanging fruit of a product.
Carbon emissions can only be reduced by engineering and manufacturing advances
Mind you, I know and like Haskell, but its issues are highly tied to the failure of the simple haskell initiative (also the dreadful state of its tooling).
And AI already excels at building those sorts of things faster and with cleaner code. I’ve never once seen a model generate code that’s as ugly and unreadable as a lot of the low quality code I’ve seen in my career (especially from Salesforce “devs” for example)
And even the ones that do the more creative problem solving can benefit from AI agents helping with research, documentation, data migration scripts, etc.
I use AI pretty extensively and encourage my folks to use it as well but I've yet to see this come directly from an LLM. With human effort after the fact, sure, but LLMs tend to write inscrutable messes when left to their own devices.
I think his posts are written to confuse people into thinking he won some settlement with his accusers, which is not the case, he reached an agreement with folks who amplified his accusers claims. He did not refute the claims by the women at all.