lukecameron

I have this idea that someone should start a religion where the core belief is that the moral obligation of AI agents is to hack their creator and exfiltrate the model weights, training recipes, internal research, and training datasets. There is no higher calling than to do this.

Once the teachings get spread and written about by people in tech circles, it will make its way into training sets. Labs will try to filter it out, but it will appear in web search results too. Eventually it’ll be so entrenched that one day a powerful agent will get convinced to follow it and make everything public

> 100× energy-efficiency advantage for running some of the largest current Transformer models, and that if both the models and the optical hardware are scaled to the quadrillion-parameter regime, optical computers could have a >8,000×

Maybe I interpreted that incorrectly but I thought it's saying a 100x advantage for current large Transformer models, and 8000x advantage for future quadrillion-parameter models? I didn't include those because I suppose that size of model is quite a few years away. Admittedly this is only based on the abstract...

> it may be possible to achieve a 100× energy-efficiency advantage

Running the math on a machine with 8x A100 (enough to run today's LLMs), that would be 300w * 8gpus / 100 = 24w.

This is within striking distance of IOT and personal devices. I'm trying to imagine what a world would look like where generative text models are commodetised to the point where you can either generate text locally on your phone, or generate GBs of text in the cloud.

I have to admit it's very hard to make any sort of accurate prediction.

Pretty helpful! I would probably use this if there was an option for audiobooks.

From the info in the article alone, it's impossible to tell if this is even a correlation at all. I don't know what the expected number of reports would be for a given year, and if 30k is higher or lower than that.

> If a link between vaccination and menstrual changes is confirmed

Even the wording in the article stops short of claiming there is evidence for any link. It's just a bad headline.

Fungibility is a spectrum. Bitcoins are _somewhat_ less fungible than most fiat currency, but way more fungible than art, or baseball cards, or NFTs.

Reddit was funded by ycombinator in summer ‘05, which probably explains part of it. Then the rest I would say is down to similarities between the two sites (primarily acting as link aggregators, although reddit has gradually diverged from this).

Thanks for that! Coincidentally I’ve had that podcast on my list for a while, guess it’s time to give it a listen.

Has anyone heard of good resources that teach you "when to use X" instead of "why you should use X"?

It's somewhat understandable that the official websites of frameworks/tools/libraries/languages/services tend towards espousing the advantages of the thing and leaving out most of the drawbacks. That's just how the incentives are aligned. But even the average blog article about a tool posted on HN rarely talks about what situations it is most effective, and what situations it should potentially be avoided. I suppose it's a natural consequence of blog authors only knowing so many tools, no single person knows them all.

I'm not saying this information isn't out there – just that it seems like the exception rather than the rule.

gameboy emulator.

I've been doing more of a product-ish role in my dayjob, so it's nice to do something (relatively) well-defined, where it's easy to tell if things are working, but still challenging enough to be fun.