cactusplant7374

Unemployment isn’t very much, is it?

It is impossible to make sophisticated software products at a high level with a low TPS. Try making a modern emulator or an award winning game. Both require a lot of iteration and not everything works well with multi agent.

It discourages and frustrates. So yes, it is useless in terms of modern browsing.

The moat is high TPS. No one has rolled it to average consumers though.

What is the TPS of DeepSeek? All of the LLMs I have tried are slow as molasses. \

Perhaps you can expand on why you think that is a bad idea.

> Utilities: Guests shouldn’t be asked to avoid using a listed amenity like air conditioning, but you can ask them to turn it off when they leave.

Turn it off and come back to a sauna that will take 3 hours to cool down. I'm not doing that.

I'm working on building a JIT for an emulator and there is no end in sight. Running plenty of experiments though. So I guess that is something. LLMs are not good at building emulators unless they have a reference implementation in the training data.

Because engineers are lusting for 1000 tokens per second. You can only achieve something like that with OpenAI.

The link doesn't work.

I think your argument would be stronger if you claimed introspection is only a feature of humans.

I have used a simple feedback loop to generate AI art: 1) the initial prompt 2) ask for criticism of the generated image 3) apply those changes and generate another image 4) repeat the criticism / fix cycle again

Isn't that somewhat introspective?

Ultrafast uses 6x the usage. They probably realize that people will complain if the plan limits are too low. In any case, the TCO of the newer chips is supposedly lower. Hopefully everyone is on ultrafast eventually.

The biggest donor is Elon Musk.

Was he paid to review the paper? His praise reads very unauthentic.

> After reviewing the pre-print, Feng Zhang, one of the pioneers of CRISPR genome editing and a professor at MIT and the Broad Institute said:

> This is an exciting example of how AI agents can contribute to biological discovery. The identification of RNA-repeat arrays associated with reverse transcriptases is genuinely intriguing and merits further investigation. I hope this work encourages more scientists to explore how AI can support their research.