Sadly I wasn’t in the first five! Thanks anyway.
301 karma · joined August 27, 2014
Sadly I wasn’t in the first five! Thanks anyway.
But let’s be clear: the risks are the same if you are wiring money through Western Union or wiring through any other bank. Once you wire the money you do not have the same protections as other payment mechanisms. And if you don’t get the product as described, you are likely out your money. This is compared to other forms of payment like credit cards where you are protected. With a credit card you can issue a charge back to the seller and get your money back in the case of fraud. With a wire transfer you cannot.
Sorry, what? Is this just a scam?
I’ll check out Bloc, thanks.
Does someone have a recommendation on reading that goes deeper on this point? What enables later investors to do this? What can early investors do to protect their investment?
It seemed to me a lot of the key findings were framed in a political way. I was hoping to see more specific damages that might justify these huge cancellations of grant funding. For example one key finding was “Northwestern put radical anti-Israel faculty in charge of negotiations with the encampment.” I admittedly don’t have time to read the full report but how is the labelling of faculty involved in the negotiation a clear case of discrimination for the violation of Title IV of the Civil Rights Act? Shouldn’t the key findings be more about the harms that were experienced by Jewish students?
It’s a shame this report is being used to justify suspension of research funding.
Do you have a recommendation to replace Moment for that use case?
I’m hopeful for the future with JavaScript Temporal.
This resonates with my experience. When a friend is having their first manic episode, it’s hard to get them to recognize that and get the help they need. But after the aftermath of a couple manic episodes, my friend wanted to get help. Even when he had a hard time complying with meds, he was able to recognize when he was heading into another manic episode and get help proactively.
My friend’s family do a few things to mitigate some of the bad decisions that a manic episode brings on. 1) the family has location tracking, 2) the family can pause credit cards, 3) the family can take away car keys.
I don’t expect any of those mitigations will be able to be implemented today in your case. But if your friend is currently going through a bad manic episode then they will probably want to prevent future manic episodes from spiraling. Having a conversation about how to achieve that, and having a mutually defined set of warning signs, will help address the problem.
What is the distinction?
The scenario described in the paper could be represented in a Bayesian method or not. “For a given missing value in one copy, randomly assign a guess from your distribution.” Here “my distribution” could be Bayesian or not but either way it’s still up to the statistician to make good choices about the model. The Bayesian can p hack here all the same.
I do find that the biggest challenge as a vendor in logistics is highlighted by, "Our business operates in a specific niche and there are no other providers who cater specifically to our industry." This makes it difficult to make software that works for everyone even if we are all in the same industry.
Why would we expect Gemini or Firefly to not be able to produce these images? I can definitely sympathize with not wanting to make offensive images but there’s no way these tools could be sanitized to not produce something offensive given the right prompts. Just like how you can’t stop photoshop users from creating similar images manually.
> We applied the protein G B1 domain (GB1) models to design a sequence that binds to immunoglobulin G with substantially higher affinity than wild-type GB1.
[1] https://www.pnas.org/doi/pdf/10.1073/pnas.2104878118?downloa...
Now, I will admit that for this particular query Kagi and Google results are pretty close. But my general experience is that when I search in Google I find that I have to look farther down the search results to look past the blogspam to find the authoritative reference.
“”” The GRIM test is straightforward to perform. For each reported mean in a paper, the sample size (N) is found, and all fractions with denominator N are calculated. The mean is then checked against this list (being aware of the fact that values may be rounded inconsistently: depending on the context, a mean of 1.125 may be reported as 1.12 or 1.13). If the mean is not in this list, it is highlighted as mathematically impossible.[2][3] “””
Source: Wikipedia
I admit I haven't explored many other books on this topic but CLRS is very good in my opinion.
[0] https://www.researchgate.net/profile/Jake-Lever/publication/...