sarjann

Unfortunately them giving up coding means they have less traces to train on.

I should try to rob a bank and if I get caught just return the money. No, there needs to be a penalty above what you get, otherwise it encourages people to take the free option of bad behavior. If they get caught they go back as though nothing happened and if they don’t they get a bunch of traces / data.

It could also be the case that by the time business adoption picks up a lot they might not be as compute constrained. Depends on rate of growth.

No, equities naturally trend up with economic growth. RAM is up because of a supply shock, as new capacity comes on prices will drop, it’s a commodity.

Seems pretty useful, often hopping between different quants. I wonder if this would work for different "branches" of a model. E.g. qwen 3.6 35b regular vs abliterated.

I think this is also a reason why X has gotten worse. They pay people for engagement.

I believe Nvidia chips have a secure way to run your model on other infra.

https://www.nvidia.com/en-us/data-center/solutions/confident...

Google tends to be very good at vision and smaller/ edge

Isn't that what insurance is for? So you don't need to stash away a bunch of idle capital incase something goes wrong.

Text autocomplete can write code, carry out actions (tool calls) and launch cyber attacks. It very much is a matter of national security.

The problem is recursive self improvement creating a very difficult gap and the fact that power, compute has a lag from when you invest and when data centers come up.

You also can't just spin up a research team out of nowhere.

I wonder with these stories. Why are there so many individual country efforts? We know the scale needed with scaling laws / capital / energy. Most of these countries alone can barely compete (even large groups of them would struggle.

Why don't they work together on it? Companies like Airbus have already been able to do that with aircraft.

Until they choose to lock their models down (e.g. Fable). Building policy off copying isn't reliable.

Asking the important questions

I don't think token speed matters as much when a lot of tokens are needed to achieve a task. E.g. artificial analysis benchmarks where deepseek v4 is one of the biggest token burners to go through the benchmark.

My understanding is google owns a pretty decent stake in spacex (around 6% end of 2025). Booking revenue now will probably help Spacex's valuation.

I mean there is a little something called compute. And other complexity that comes like writing code to efficiently distribute a model across machines.

I think it could help to maybe allow 10 searches free (without logging in) just for someone to see what the UI is like or show an example of the results page. It adds a bit of friction for someone to have to make an account and pay just to test the product.

Kagi lets you test it offline (go incognito and try) " Kagi Search is funded by members, not advertisers: built to find what you need, not sell your attention.

Try 50 free searches, and if you love it, sign up for 100 more before choosing a plan. Searches used "

There is also the ability to fallback is one of the clouds degrades in performance.

I used something similar for searching over wikipedia pages

https://github.com/sarjann/WikiReader-rs

Was pretty speedy

I think it should be tested on goals.

E.g. Crack this puzzle, fix this code so these tests pass. (A human can verify it doesn't cheese things).

Isn't the solution in game theory when there are multiple turns to just repeat the move the previous person made.

So if the other side overpumped by x1 amount then you pump an extra x1 the next turn / year (maybe multiplied some reference production factor as they don't all have the same absolute limits).

Is there a pure stripe fund though? What if I just want exposure to stripe and not the rest of their portfolio?