rishabhjain1198

Good question.

> Data centers in space only make sense if they are cost effective relative to normal data centers.

This statement is actually completely false. The bottleneck is not cost of building data centers, but the energy accessible on the planet. How much we're willing to pay for increasing that is currently very unclear, but it's far more than the current cost of building a terrestrial data center.

As Jensen Huang famously touted their performance per watt, saying "Our customers won't buy our competitor's chips even if they were free."

Oops I forgot to say; we're filing federal + state taxes for free for everyone in America (I think we're one of very few platforms left doing this).

Please give us a try!

Reasoning cannot actually be toggled. LLM companies serve completely different models based on whether you have reasoning enabled or disabled for "Opus 4".

The Grok 3 system prompt is quite accurate, it's been open-sourced.

Rest in peace. A true SV legend.

If you're using iPhone 15 Pro and you've configured the action button to use ChatGPT, anyone can access your previous prompts without entering the iOS passcode by simply pressing the action button and asking.

Can be avoided by disabling memory in OpenAI, or simply not remapping the button.

Edit: Forgot to mention, this is on iOS 17.5.1 (latest stable release).

Regardless of what computers find interesting, humans want to progress math in stuff humans find interesting. We can't fully rely on computers to do that yet since they can't seem to judge that very well rn as good as human mathematicians.

Don't necessarily see a tautology here.

Although I caught that on the first read, I found myself questioning when I read the adaptors part, "is this not just LoRA...".

Maybe it's my fault as a reader, but I think the writing could be clearer. Usually in a research paper you would link to the LoRA paper there too.

Aren't Playstation games doing exactly this?

For people interested in AI research, there's nothing new here.

IMO they should do a better job of referencing existing papers and techniques. The way they wrote about "adaptors" can make it seem like it's something novel, but it's actually just re-iterating vanilla LoRA. It was enough to convince one of the top-voted HackerNews comments that this was a "huge development".

Benchmarks are nice though.