jaan

Haven’t commented in years but I came to say this is an incredible video.

I think the uncanny valley of this video as a makeshift 90s infomercial captures the audience and sells the product!

Caveat: vaporwave is one of my favorite genres so take this with a grain of salt.

Wow, I’m in the same boat - do you mind sharing more about how you did it? I was thinking about that too (I’m 197cm) and would love to learn!

NTS radio has been incredible for programming music over the years. Deep backlog, an ambient channel (infinite mixtape: https://www.nts.live/infinite-mixtapes/slow-focus), and great selections:

https://www.nts.live/

And they have mobile apps :)

Does it support constrained generation during training?

This is what we need for the large language models I am training for health care use cases.

For example, constraining LLM output is currently done by masking, and having this rust based library would enable novel ways to train LLMs.

Relevant papers:

https://github.com/epfl-dlab/transformers-CFG

https://neurips.cc/virtual/2023/poster/70782

Also trying to figure this out for using it with vite! Added a question here: https://github.com/observablehq/framework/discussions/855

Open to any feedback on this here or over email (jaan@onefact.org)!

I quit academia to start a non-profit focused on using open source to analyze the public hospital price transparency data.

We are now making similar dashboards for every hospital in the country, and need all the help we can get if you would be interested in using the latest geospatial mapping tools, databases (duckdb) and large language models to make sense of this massive amount of data.

Through a data bounty (https://www.dolthub.com/repositories/onefact/paylesshealth) we collected 4000+ hospital price sheets and made them public here: https://data.payless.health/#hospital_price_transparency/. This was on HN previously.

Grateful for all your support so far!!

Bitly was expensive, so this is a fun little use case for redirect rules for subdomains. Was coming increasingly handy as we scale our nonprofit, so wanted to share and open sourced this!

Wow. Would love to help you build this and pay you for Apache 2.0 release of your work with our grant money - emailing you now :)

Yes! We are working on this and integrating with the OMOP common data model, to be able to link the health outcomes in our data partners' clinical repositories to the cost of care. For example, we work with the NIH All of Us study for outcome data (joinallofus.org -- I signed up both to contribute to this science and to get my whole genome sequenced free!)

You're right! We're linking this data to the negiotated rates :) and building the search engine for both of these at payless.health.

Nailed it! :)

If you look at the files, many of them are not compliant, and so we need to figure out what the associated line item corresponds to: a CPT code? HCPCS code? ICD code? etc :)

Here's an example NLP tool I helped build we're using to do this: https://arxiv.org/abs/1904.05342 -- it's in several pipelines now for data annotation and crowdsourcing.

I got a friend to record guided meditations geared at techbros: https://dystopia.guide/

Really meant as a critique of late stage capitalism where companies like Headspace have ads in New York encouraging us to “optimize” our mindfulness practice so we can train harder…

Thank you! Just fixed it, hosting it on S3 now.

The NIME demo paper with the details is here: https://nime2015.lsu.edu/proceedings/155/0155-paper.pdf

Very cool - I'm working on a related project: https://www.google-melange.com/gsoc/project/details/google/g...

I'll put up a blog post soon on this!

I'm surprised no one has mentioned Cadence & Slang by Nick Disabato: http://cadence.cc/

I found it a gentle but thorough introduction with great references for further reading. I wish I had read this before trying to design apps for the first time - it would have saved a lot of headache.

I haven't found an RSS feed for the most emailed articles. Do you have a link? That would be awesome!

Thanks – I agree with your worries about misinterpretation, especially in regard to flawed study design. We're not trying to be the be-all end-all, but hopefully a decent starting point for further research into the subtleties of a specific topic. That's in addition to trying to make the science more accessible by having it appeal to a wider audience.

We're still narrowing down our content guidelines, so would love your input! Feel free to ping me.

Thank you! You can sign up for the email digest at http://usefulscience.org/about

Thanks Dave, appreciate it (design was by Cameron Spencer @ lab43.com). And search is on our feature list – hopefully it'll be up soon!

Thanks! We're a team of grad students from various disciplines – we write the summaries ourselves for now. Hopefully some text mining for automating this in the future!

Looking for feedback, and we're happy to answer any questions! RSS: http://usefulscience.org/rss.xml