entee

9 ms·

31.
by entee 6y ago
Yes. Monoclonal antibodies are single antibodies that are produced at scale. Regeneron has 2 mABs that they mix to create a cocktail. Your immune system generated a polyclonal antibody response, which is to say it creates a multitude of dif
32.
by entee 6y ago
To be clear, almost all of these studies showed very small effect sizes. The best therapeutics we have are remdesevir (small but real effect on severity, unclear effect on hospitalization and death), dexamethosone (moderate to large effect
33.
by entee 6y ago
Anagenex | ONSITE or REMOTE | San Francisco | Infrastructure Engineer, Computational Chemist We are a seed stage biotechnology company building a novel platform for drug discovery focusing on difficult targets. Machine learning has struggle
34.
by entee 6y ago
It should be noted that past the early stages virtually none of that investment and valuation came from institutional VCs and people who had a clue. The valuation was driven by rich people who didn’t know any better and they sadly got defra
35.
by entee 6y ago
I used to think this way, but I think it’s a mistake. If something happens to men but happens far more often to women, then there’s a problem. The fact that we keep hearing about these stories, with various shades of face-palming awfulness
36.
by entee 6y ago
Note that as far as I know, all the founders of FAANG were white guys. As for why many Asian people work there, I think there is a strong bias toward engineering/medicine among many immigrant communities that came from a relatively edu
37.
by entee 6y ago
To be clear, I don’t think input pipelines are not a problem at all, I think they’re just a part of the problem. Sounds like this person is doing things right by investing time and effort across pipeline AND developing talent once hired. Yo
38.
by entee 6y ago
Fully agreed, there's a whole lot going on beyond stories of bad experiences. It's a complicated issue, I just think we're focusing on the wrong problem if we're just looking at this from a pipeline point of view and not
39.
by entee 6y ago
Surely it does, a culture that makes people feel unwelcome and doesn’t invest in helping them thrive in an environment where they are in the minority definitely plays a role.
40.
by entee 6y ago
Respectfully, this is the wrong way to look at the problem. It’s true, objectively, that there are fewer minority/female CS graduates. But there’s no way that gets better if a person who is “not a subject matter expert” gets dismissed.
41.
by entee 6y ago
Can someone better versed in this area give a decent sense of how this works and whether this is feasible? Also, as the article mentions, given an unencrypted dataset similar to the original, couldn’t you figure out important elements of th
42.
by entee 6y ago
I'd have loved that at the time! But clients don't like it when we ask them to fix these things. Less flippantly, with large organizations, the people giving you the data aren't necessarily the people who entered the data or
43.
by entee 6y ago
It is the bare minimum to do data tests throughout your pipeline, but a good, open source, structured framework that I don’t have to write myself is kinda nice ;) I can then separate testing from the transformation code (which yes, should b
44.
by entee 6y ago
You’re missing the need this product addresses. It’s not about your database, it’s about the data someone sent you that you’re about to ETL into your database. I used to work at a medical ML company, the datasets we got from insurance compa
45.
by entee 6y ago
We were experimenting with this a couple years ago and were very impressed but it didn’t quite fit into our workflow at the time (mostly our fault). Really cool to see how far this has progressed, it’s a really helpful tool that should stan
46.
by entee 6y ago
It’s also apparently a closed protocol, so Zwift and third party apps can’t use it. Maybe peloton will open that up at some point, it would bring it a new market. I have a bike on a wahoo kickr core and it’s great, and I don’t have space fo
47.
by entee 6y ago
This. Management is harder than many, especially junior, engineers think. The key is that you have to intrinsically want to do right by your team, sublimating your ego for the greater good of the whole. Not everyone does, and to me that’s t
48.
by entee 6y ago
Admittedly I know few, but not zero. That said they’re all relatively older and have been in the business for a while. I used to manage a team with 4 racks, ~40 machines at a COLO. When we hired for new people, it was usually older folks w
49.
by entee 6y ago
I think there's a risk here but I'm not sure it goes as far as you suggest. There are still plenty of entities, particularly larger ones, that buy their own metal because at some scales it becomes far cheaper to run in a COLO (at
50.
by entee 6y ago
Really hard to do. Not because it’s a bad idea but because it’s hard to identify a vacant apartment. One example using utility bills as proof of residence can be gamed by paying people to go turn on the lights for a while. How can you tell
51.
by entee 6y ago
I can’t say what percentage of wealthy people did this versus just regular asset hiding, but it happened enough to be visible among Belgians (my family lives in Brussels). Either way, hiding assets is relatively easy if there are millions o
52.
by entee 6y ago
Thing is we’ve done the experiment and it doesn’t work. France had a wealth tax (called the ISF, impôt sur la fortune) and it never actually garnered the expected revenues. This is because wealthy French people moved to Brussels, where you
53.
by entee 6y ago
I’m pretty sure that despite the fact that statistical models are used in credit scores, those models are subject to regulatory review. For example, I’m pretty sure a “black, therefore, no loan” algorithm is illegal, regardless of whether t
54.
by entee 6y ago
I think that’s totally true in cases where the market is a rapid and reliable feedback mechanism. It’s a delicate balance, and I can see how a large bank account leads to avoiding the hard choices or the rapid iteration necessary to find a
55.
by entee 6y ago
I think it really depends. Money in the right hands can be amazing because you can aggressively pursue an idea that takes a lot more money to get off the ground. This requires a clear idea of what matters to the business. If you don’t have
56.
by entee 6y ago
Anagenex | ONSITE or REMOTE | San Francisco | Lead ML Engineer, Computational Chemist We are a seed stage biotechnology company building a novel platform for drug discovery focusing on difficult targets. Machine learning has struggled in ea
57.
by entee 6y ago
Nice! I always assumed unless there was a known crystal, you’d be in for pain. “Good and globular” is the way to go I guess.
58.
by entee 6y ago
Naive question: how often is that collision the same number of bytes as the original?
59.
by entee 6y ago
Oh yeah, X-ray crystallography used to be crazy hard, and still is for many many things. I can imagine those holes must have been so satisfying :)
60.
by entee 6y ago
And yet that was a snapshot of a dynamic process. Seeing an image of the horse didn’t actually reveal how it galloped, we had plenty of those and got it wrong. Seeing many images of the dynamics did, that’s a subtle but important difference

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