I led the team that studied mask efficacy in early 2020 and published our results in the Proceedings of the National Academy of Science.
I spent three months earlier this year revisiting this topic, and today I'm publishing my notes and links here: fast.ai/2022/07/04/upd…
An admission: these notes were meant to be the basis of another academic paper, and I gave up on it. In Jan 2022 when I finished this research, I looked around, and it seemed like no-one much cared about avoiding COVID any more.
So I figured it wasn't worth spending time on.
It seems like in the last couple of weeks there's signs that folks might be more open to protecting themselves and others by wearing a mask.
But the vast majority of public health advice I see on mask use is scientifically inaccurate. So I'm digging out this research for you.
Masks work.
An observational study of Beijing households analyzed the impact of mask use in the community on COVID-19 transmission, finding that masks were 79% effective in preventing transmission, if used by all household members prior to symptoms. gh.bmj.com/content/5/5/e0…
However, with omicron “surgical masks are no longer sufficient in most public settings, while correctly fitted FFP2 respirators still provide sufficient protection, except in high aerosol producing situations such as singing or shouting” smw.ch/article/doi/sm…
Surgical masks are much less effective than N95's, because they are made to stop liquid splashes during surgery, rather than made to stop airborne transmission.
But you can improve them with a 30 sec trick.
But there's really no need to where anything but an N95 nowadays. They're widely available, inexpensive, and the best ones are very comfortable and breathable.
You can re-use an N95 until the straps wear out. I find that's about 30 times with my usage.
Mask maker 3M says "There is no time limit to wearing an FFR. Respirators can be worn until they are dirty, damaged or difficult to breathe through." (I find the straps wear out 1st.)
If you use a good mask like the Aura and you're not a healthcare worker you don't need a fit-test.
Non-experts get an average fit factor of 88, well over the recommended goal of 10. (In healthcare the goal is 100, to provide a 10x safety margin.) tandfonline.com/doi/abs/10.108…
There isn't a shortage of N95s so you don't need to reserve them for healthcare workers. In fact, not enough people are buying them, so factories are closing down bloomberg.com/news/articles/…
Masks needn't be a substantial burden. A study found that “in healthy healthcare workers, [N95s] did not impose any important physiological burden during 1 hour of use, at realistic clinical work rates” rc.rcjournal.com/content/55/5/5…
For dozens more links to academic studies on masks, see the links in my full research notes: fast.ai/2022/07/04/upd…
BTW, here's our original 2020 paper, written in April 2020, but not published in PNAS until Jan 2021 (although it was available on preprints.org throughout that time): pnas.org/doi/10.1073/pn…
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We trained 2 new models. Like BERT, but modern. ModernBERT.
Not some hypey GenAI thing, but a proper workhorse model, for retrieval, classification, etc. Real practical stuff.
It's much faster, more accurate, longer context, and more useful. 🧵
ModernBERT is available as a slot-in replacement for any BERT-like model, with both 139M param and 395M param sizes.
It has a 8192 sequence length, is extremely efficient, is uniquely great at analyzing code, and much more. Read this for details: huggingface.co/blog/modernbert
Seven months ago, @bclavie kicked things off, and soon @benjamin_warner & @antoine_chaffin joined him as project co-leads. I don't think anyone quite knew what we were getting in to…
It turns out that training a new, SoTA model from scratch is actually pretty hard. Who knew? 🤷
I wonder if the @PyTorch analysis behind this is mistaken. I suspect most of the pypi installs they’re seeing are from CI and similar. Conda installs are the standard for end user installation of PyTorch afaik
@PyTorch Conda aggressively caches installs so looking at relative download numbers won’t give a great sense of real usage.
For the 1st time, we've decided to significantly change behavior from sqlite-utils: we've changed from using Python DB API transaction behavior, to original sqlite behavior.
Original sqlite is in "autocommit" mode at all times, unless/until you explicitly begin a transaction. I find this behavior convenient and intuitive, so sqlite-minutils now sticks to it too. sqlite.org/c3ref/get_auto…
Today @answerdotai is proposing `/llms.txt`. This is a file you can use to tell models where to find LLM-friendly content for your website.
It provides background information, along with links to markdown files providing more detailed information. answer.ai/posts/2024-09-…
We're providing a website with details of the proposal, & javascript and python parsers. There's also an example of how to incorporate llms.txt into an editor--rather than weight into the emacs vs vim vs vscode wars, we picked ed, the standard text editor llmstxt.org
Today websites are not just used to provide information to people, but they are also used to provide information to large language models.
For instance, language models are often used to enhance development environments used by coders.
Announcing FastHTML. A new way to create modern interactive web apps.
Scales down to a 6-line python file; scales up to complex production apps.
Auth, DBs, caching, styling, etc built-in & replaceable and extensible. 1-click deploy to @Railway, @vercel, @huggingface, & more.
To get started, head over to the home page: .
The whole site, designed by the @tinloof gang, is itself a running FastHTML app, and includes live code examples running inside that page.fastht.ml
I started FastHTML because during 25+ years of web development, I realized that web programming could be easier & more powerful. I feel that recent trends move away from the power of the web’s foundations, resulting in a fractured ecosystem of over-complex frameworks and tools.