sanjams

I agree, but perhaps OP is suggesting that the hand-crafted data can be generated in a more transparent way. For example, via a script/tool that itself can be reviewed.

The article references a technical write-up: https://research.swtch.com/xz-script

I have read the R1 paper. My observation is that there is no information whatsoever about how they are overcoming the limitations of the H800 compared to the H100 which is what the parent article is about. That's the piece Im curious about.

I will concede that I have not read all their papers or looked through their code, but that's why I asked the question: I hoped someone here might be able to point me to specific places in specific papers instead of a axvix search.

> Infrastructure algorithm optimization

> Novel training frameworks

Where can one find more information about these? I keep seeing hand-wavy language like this w.r.t. DeepSeek’s innovation

So then OP is correct? Your comment confirms the same sentiment about the tradeoff API users make: cheaper inference means you pay with your data.

Sure Deepseek may publish their weights so you dont have to use the API, but the point still stands for the API.

AWS has a large data center near Portland... (And Washington DC for that matter)

So is the euro not a success either? Or any other currency in the world for that matter?

Why wouldn’t we want people to continue iterating on designs? Should all the world’s designers just start trying to become manufacturing planners? Of course not. This would be a terrible use of their skill set. But more than that, why in the world are you criticizing people who are just trying to help? At a minimum these people are helping to inspire hope.

Ha. I did this exact same thing for a project in college using echonest and linear regression. In the end, we were unable to find a single statistically significant coefficient. We ended up having to change our project completely. Kudos to your team for finding something there

Cool article. I was fortunate enough to experience some places similar to these first hand during a visit to Tokyo. One of the most impressive things to me was the bartenders’ uncanny ability to pick the perfect next song. In a sea of old, unidentifiable records, they were able to pick out exactly which record and subsequent song they wanted. And the timing of their transitions between songs...incredible. All while serving you drinks.

Some engineers in Mozilla said the same thing about their certs that expired yesterday

I find this an interesting and refreshing part of snapchats’ advertising platform (to be clear I do not care about what the kardashians ate for breakfast). Spiegel has said in the past that they would strive to not target individual users based on browsing history, etc. as Facebook and Twitter do. https://venturebeat.com/2015/06/22/ceo-evan-spiegel-in-canne.... This was before the app went public and I’m sure there has been significant pressure from shareholders to produce a better product for advertisers that makes even more money. However, it seems at some point these “untargeted ads” were/are intentional

There is no “right” application of the 80/20 rule. It has many applications for many contexts