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So, while the throughput was 400-500tps in beta its now ~150tps on OpenRouter.

I was hoping for a bit more, but it's still 100% faster for a very good price, so I won't complain.


Update:

I'm using it right now and it's noticeably faster.

I'd also say, it seems smarter, but I think that's because of some harness updates I installed. (I haven't used pi for almost a month)


Nice form factor.

I have a Samsung Fold 4. The front screen is too narrow and the folding screen doesn't open all the way anymore.

Not what I expected from a 1400€ phone.


At least they can use another provider or self-host.

Beta testers report >400 TPS.

https://www.geeky-gadgets.com/deepseek-v4-1-flash-review/

I hope some of those speed increases will make it to production.


That ought to be DeepSeek's real differentiator; all the other Chinese models are slow.

I used flash with pi and it worked pretty well.

It built this whole IaC plugin from scratch: https://github.com/fllstck/nebius-alchemy


I don't know about animation, but it seems the UI system and their widget library was overhauled.

"The Feathers widgets have migrated to BSN, Bevy's next-generation scene system. BSN is a better foundation for widgets than the old spawn-function approach: it reduces boilerplate, lets you compose widgets together, parameterize widgets with SceneComponent props, reference font/image assets, and register observers in the same declaration."

https://bevy.org/news/bevy-0-19/


Yeah, I think only in crypto the non-us providers have a leg up, because running a node just needs an instance.

Yeah, there are plenty of slow burns.

Yet, I wouldn't go so far as to say every novel is one. If you aren't an established author, publishers won't take on your manuscript if it doesn't hook them with the first chapter, better even with the first page.

That doesn't mean that a well written first chapter will hook everyone, though.


Interesting that he has this view.

I would have taken him for mostly pro LLM.


Any signal that allows the model to see what's wrong helps.

Checking code is (relatively) easy, you can use static type checks, linters, and execute it to see if it's correct.

Fact checking is harder. A RAG can only check what's in the database, so you have to know what to know beforehand.


> Fact checking is harder. A RAG can only check what's in the database, so you have to know what to know beforehand.

A global database of facts would make easier for AI to stay factual

Also ironically it would also make it easier to align AI to do things like consistently censor or distort some political facts


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