https://www.dr-qubit.org/qubit.html
Toby Cubitt's website
HN user
https://www.dr-qubit.org/qubit.html
Toby Cubitt's website
Yes, it's a good point. Will work on real-world examples covering different scenarios for the next posts.
Interestingly, this guide states that the intuitive understanding of maths is only suitable at the school level but not for the university.
In his recently published book "Mathematica: A Secret World of Intuition and Curiosity", David Bessis argues that the intuition is the "secret" of understanding maths at all levels.
Not sure what conclusion to draw from here, but my (rather dated) experience with university maths tells me that the intuition is a powerful tool in developing the understanding of the subject.
Identify a small but annoying issue and try to solve it through technology.
Here are the preliminary round's questions:
https://damo.alibaba.com/events/32024061217181779414025598?l...
And here are the questions for the final round (if interested):
https://damo.alibaba.com/events/32024062317190737996317599?l...
BlackRock is well-known and manages more than 10T USD worth of assets.
Active conversation here:
That's true. And VW needs to allow other brands to use this technology. It will make life easier both for drivers and the animals.
It is a PDF file. You can save a link and open the file in PDF viewer, instead.
Qubes OS is for the end-user devices, while the approach in the article is about the server side.
The secure enclave cannot be more secure than the software running inside it.
As for the trust, we generally trust the CPU manufacturers, including their implementation of encryption like the AES instructions.
File and folder names containing sensitive information get encrypted with non-deterministic encryption (i.e., with random IV) and get decrypted only for displaying purposes. Software can handle GUIDs as file and folder names whereas the real names are kept encrypted.
For indexing, unpredictable data can be hashed (with a salt unique to the field). Both predictable and unpredictable data need get deterministically encrypted - usually with IV being an SHA-2 or SHA-3 hash of the data. This works for exact searches only, of course.
Oghuz bards sang the versed version of jazz: common themes with a lot of improvisation. They hardly could repeat their songs from the previous day. Their were the same songs which were never the same.
Does RedoxOS mandate the URLs of that format?
How does logseq implement end-to-end encrypted sharing between devices? Logseq Sync promises "encrypted file syncing" without any details.
Great to see the zero knowledge security model being adopted more widely across different types of applications.
I wonder how the interoperability between E2EE (end-to-end encrypted) apps is going to look like. Zero-knowledge sharing is a solved problem, but it is not easy to implement - and many choose not to implement it. They just use key sharing in URLs, making the actual secure sharing the user's problem.
That's right. And story points work: base your estimate on your previous experience with the known task sizes and loads.
Productivity is calculated as a ratio value_produced / value_consumed. The latter, in software world, is a sum of all benefits, salaries, technology used to produce value, etc.
What is missing in the current software world is the way of calculating the value produced.
Interestingly, the same result has been achieved by a single person, Christian Jäkel of TU Dresden:
File sharing platforms must be based on the zero-knowledge concepts. Bugs happen, data leaks must not.
This (inadvertently) can happen when the model size goes over what humans can oversee. Unless human input gets much higher weight.
This is "known" as "proven" or as in "suggested by others previously"? Obviously, answers are tuned by humans (as the OP agrees), but does the GPT model train against the human neural network?
The main question holds, still: will the human IQ limit the capabilities of GPT and other models?
Adding a periodic unbounded function of time (like tan) makes the plot to "explode":
(6.0*(0.04*x*x - 1.0)*pow(0.2*x, 2.0) + pow(0.02*x*x - 1.0, 2.0) + 6.0*(0.04*y*y - 1.0)*pow(0.2*y, 2.0) + pow(0.04*y*y - 1.0, 2.0) + 6.0*(0.04*z*z - 1.0)*pow(0.2*z, 2.0) + pow(0.04*z*z - 1.0, 2.0)) = tan(t)
Adding more non-linearity makes the plot is more dynamic:
(6.0*(0.04*x*x - 1.0)*pow(0.2*x, 2.0) + pow(0.02*x*x - 1.0, 2.0) + 6.0*(0.04*y*y - 1.0)*pow(0.2*y, 2.0) + pow(0.04*y*y - 1.0, 2.0) + 6.0*(0.04*z*z - 1.0)*pow(0.2*z, 2.0) + pow(0.04*z*z - 1.0, 2.0)) = tan(t*cos(t))
Edit: Escaping.
China's playbook has some gems; learning maths until the end of school is one of them.
Australia has a similar policy: maths is taught at school from Kindergarten classes up to year 12. The solution is to have multiple levels of maths for the same year (after reaching a certain point).
For example, a Year 10 student can be in one of 4 possible maths classes, 3 of which are selective, i.e., available to students above the specific thresholds.
C# 11 addresses the first issue by adding the required fields/properties: such members must have their values set upon instantiation.
For the second one, the ^1 index stands for length-1, which is the last element's index. With ^0 the compiler should implicitly add 1 every time an index is accessed.
The disclaimer on the page says that the features are in preview, although Microsoft announced that C# 11 is out as in final:
I would add Hungry Panda if you are into Asian food.
No network response.
https://downforeveryoneorjustme.com/fastmail.com reports it's down, too.
This would be great. My fear is that the companies will ask for 5-10 years for migrating to this technology.
We will see. I hope I am wrong.
The best solution is a single government database of details that companies use to validate the personal data once and with the customers' permission. And this database should be protected better that the PM.
Will the government step up, though? I have some doubts.