jacinabox

"Feign vulnerability" -GPT4 in one of its many glitches

There was an article a while back on HN about why web designers choose light grey on white background. Basically, it looks fine on their own monitor which has the contrast turned way up

Ah yes, the good old "one sided-electrode."

Could be, if you can set up a millions of dollars regulatory apparatus to keep online some really old MMOs for the 100 people worldwide who want to play them, there's really nothing you can't regulate.

If you think about it, those who shape mainstream opinion on operating systems were always mostly bought off, and invested in the mainstream operating systems. That investment meant that a niche operating system like Plan9 or BeOS was never going to see wide support from the opinion shapers, even if those OSes had some interesting ideas.

Remember the time when the former members of the Siri team demoed a prototype for a more capable version of Siri and Apple didn't even use it

They let them speak with Gill Bates instead

I just did a captcha the other day that asked the user to select which items can fit inside the sample item (which was a handbag). You'd think that a multimodal deep learning model could figure out what objects fit inside other objects if it's going to cure cancer or whatever, but no I'm assuming that it needs to be taught explicitly.

Do you cache data on the client and write buffer it on the way back to the server? I made a key value store as a hobby project, that also kind of streamed the data and it was convenient to do that .

Oh dang, so the others do walk among us?

The problem with natural keys is that nobody ever says, "My bad, I should have spelled my name the same way on this form as I did when I registered for the service, I promise not to do it again." Instead they say, "No matter how I spell it, you should have still known it was my name!"

that's nice, but the US digital asset stockpile is not the strategic bitcoin reserve. The sentence that controls acquisition in the strategic bitcoin reserve is the one before it:

'The Secretary of the Treasury and the Secretary of Commerce shall develop strategies for acquiring additional Government BTC provided that such strategies are budget neutral and do not impose incremental costs on United States taxpayers.'

I wonder what budget neutral means. Does it mean that they have to find spending cuts in other areas in order to acquire additional BTC?

One would think that the difficulty of making a company profitable when it's training larger and larger LLMs, combined with the diminishing returns and model collapse phenomenon, would make it so that companies don't wish to stop training larger models. I assume that they continue training larger models because whichever company stops training larger models would fall behind in the race to win new rounds of funding, but if that is the case what is the ultimate valuation that these companies are trying to achieve being valued in the biliions already?

Diminishing returns means that the user gets less marginal benefit with each larger model, and the model collapse phenomenon means that models trained on new training data might be less good than older models. Have straightforward mitigations been put in place such as filtering out from the training data forums where users like to share AI generated content?

frigging ...what?

It’s a case of rugged individualism, the search for the elusive use case: cryptid currencies, beware of geeks bearing grifts.