Claude is coming up in 6th or 7th place and below in most countries including US, but in 2nd place in the world, how is it possible, what am i missing.

The data gathering method is 1.1.1.1 Cloudflare DNS resolver. It won't have the information about people who use any other DNS.

No i meant when you change country on top of cloudflare report, it comes up like 6th and 7th for most of countries i selected, but it comes to 2nd place suddenly when you select world.

Yeah, a more meaningful study next would be the market share of DNS resolvers.

Not every metric published here can be used, because the observers are from the PoV of Cloudflare and cloudflare alone.

Got the same use case, i tried last month with gemini app and it was awful, most rendering was messed up.

Cool work, How much did it cost to train ? Will the source for training be open source ?

We won't know how much it cost until after the court case.

This looks like a model RLed on top of Qwen3-Coder or GLM 4.6 as per their graph and foot note.

What local models will it work with ? Also what will be the pricing for local llms?

Good question, I imagine you’d need to set up an ngrok endpoint to tunnel to local LLMs.

In those cases perhaps an open source (maybe even local) version would make more sense. For our hosted version we’d need to charge something, given storage requirements to run such a service, but especially for local models that feels wrong. I’ve been considering open source for this reason.

Can it cook ?

Looks like it could pass butter, at least.

From their FAQs:

> Initially, NEOs cooking capabilities will be restricted from use. NEO can provide you with great recipes or help with the cleaning up instead.

Huge risk having it operate in a kitchen: open flame, hot liquids, spills, sharps, etc.

The main risk I was thinking of was poisoning you.

Look at it, clearly only serves tomatoe sauces, red wine, and beets.

Let him cook.

What models are used ? and whether user data is used to train ? Not seeing privacy policy or TOS page.

Good questions! Will add these and put a data processors page tonight. We use Anthropic/OpenAI models.

reminds me of this image https://www.reddit.com/media?url=https%3A%2F%2Fi.redd.it%2F6...

Same thing with the 1.3 billion EUR investment of ASML into Mistral. ASML -> Mistral -> NVIDIA -> TSMC -> ASML -> ...

It would be amusing if it also wasn't so accurate.

I didn’t see the step where Larry has to sell any stock, and hence puts downward price pressure on Oracle share prices.

What is the source of the cash in steps 3, 4, and 7?

He doesn't have to sell. He can finance the deal with debt backed by his newly risen stock as collateral. Then the debt is used to further inflate the price of the stock.

The flywheel metaphor is pretty apt.

It is us, index fund owners :clown:

Disclaimer: I also have a small amount of money in vanguard IRA

According to the image of the steps, Oracle’s share price is going up, presumably more than it would have without engaging in these steps. How can that cost index fund owners? They would be benefiting from the share price increase.

Ultimately, debt will fuel this. Oracle can't pay with cashflow.

Credit.

Looks nice, but little hesitant to give access to emails. What model is being used on backend ?

We use Claude/OpenAI right now with Groq for tool routing!

I'd say maybe to get comfortable try out the non email features first, but we don't have access to any of your data.

How do you not have access to the data if I give you access to my email?

The agent does!

We don't, and agent pulls in data only when executing queries

Does the agent run on hardware you control?

Runs on AWS for now!

So you do have access to all the data. It's not really a great look if you're lying about what you have access to, and this is a technical audience, it's not like we don't know how agents work.

Sad state of current launch HNs where OP don't even know they are talking to hackers, not people that get easily impressed.

So you have access to the users Gmail, not "the agent".

Hmm ig yeah I can be more granular.

Yeah we store our user credentials on our side and manage them. Along with refreshing tokens and so forth

This is horrifying. Everyone should be horrified.

I think they mean OAuth credentials (all these APIs use OAuth unless you're doing something terribly wrong).

Yep we're using Oauth, so it's easy for a user to disconnect.

Or an alt/throwaway email...

ooh good idea!

What will be the approx token/s prompt processing and generation speed with this setup on RTX 4090?

I also just made IQ1_M which needs 160GB! If you have 160-24 = 136 ish of RAM as well, then you should get 3 tokens to 5 ish per second.

If you don't have enough RAM, then < 1 token / s