HN user

Qision

333 karma

1f3910 at riseup dot net

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github.com 20d ago

Tournesol – Collaborative Content Recommendations

Qision
2pts0
www.cphysics.org 9mo ago

Clear Physics

Qision
6pts2
arxiv.org 10mo ago

The Beginner's Textbook for Fully Homomorphic Encryption

Qision
251pts46
www.theguardian.com 1y ago

They wanted to save us from a dark AI future. Then six people were killed

Qision
84pts60
venhance.github.io 1y ago

An Infinitely Large Napkin [pdf] (2019)

Qision
193pts33
arxiv.org 1y ago

Eliza: A Web3 Friendly AI Agent Operating System

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1pts0
news.ycombinator.com 1y ago

Ask HN: How do I get the most out of an analyst job?

Qision
8pts2
rair.dev 1y ago

WireGuard and SSH

Qision
4pts0
news.ycombinator.com 1y ago

Ask HN: How to properly secure a server?

Qision
2pts4
github.com 1y ago

Lynis – Security auditing and hardening tool, for Unix-based systems

Qision
67pts21
superuser.com 1y ago

Blocking the "Sign in with Google" Prompt (2023)

Qision
129pts54
news.ycombinator.com 1y ago

Ask HN: Where can I find a good primer on the cryptocurrencies ecosystem?

Qision
2pts2
news.ycombinator.com 2y ago

Ask HN: Choosing between two different software jobs

Qision
3pts3
news.ycombinator.com 2y ago

Ask HN: Is a portfolio a real need for a junior?

Qision
1pts3
www.youtube.com 2y ago

Sabine Hossenfelder – The String Theory Wars and What Happened Next [video]

Qision
10pts0
www.lemonde.fr 2y ago

France enshrines 'freedom' to abortion in Constitution, in world first

Qision
137pts207
www.youtube.com 3y ago

Programming War Crimes 3

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1pts0
www.nature.com 4y ago

The Rise of Intelligent Matter

Qision
1pts0
libretexts.org 5y ago

LibreTexts – Free the Textbook

Qision
2pts1
www.bbc.com 5y ago

COP26: Frustrated by delay, young activists stage virtual Mock COP

Qision
1pts0

Why doesn't AMD make a similar framework than CUDA? Is this so much of a task? But if that increases their market share that should be financially viable, no?

If I understand correctly companies like OpenAI could run LLMs without having access to the users new inputs. It seems to me new users data are really useful for further training of the models. Can they still train the models over encrypted data? If this new data is not usable, why would the companies still want it?

Let's assume they can train the LLMs over encrypted data, what if a large number of users inject some crappy data (like it has been seen with the Tay chatbot story). How can the companies still keep a way to clean the data?

Thanks for your feedback!

Would managing the git repo include CI/CD? Not really, we already have some people who manage our Jenkins instance.

Do you have a CS degree? I don't, I have a scientific background and then I did a coding bootcamp. I don't really plan to get a CS degree since I already have hobbies that take all my free time.

Do you have any insights on what an analyst is doing in a company? Is it different from what I do now?

I'm not so sure about the spaced repetition side of things.

From what I could read, many studies have shown this is an effective technique. From my personal experience it only works if you understand what you are trying to remember. For example, trying to memorize some complicated formulas that you don't understand is doomed to fail.

I recognize myself a lot when he talks about the feeling of losing knowledge acquired years ago. I would be very interested with MathAcademy if it can help me fight this! I am also wondering if it can help me learn new knowledge, especially new topics in maths I have never learned before?

Also what is the difference between MathAcademy and Brilliant? I have read many skeptical opinions on Brilliant, so it would be interesting to have a comparison.

I used to use them. I really loved the fact that you can ask questions really freely and get quite raw answers (I don't like the so called "reddit style").

Then I stopped browsing them since it felt like doomscrolling even though these platforms were not designed to encourage that.

  Location: Grenoble, France
  Remote: yes or hybrid
  Willing to relocate: No
  Technologies: Java, Spring, REST API, SQL, Docker, Gitlab CI, Linux, Git
  Résumé/CV: https://www.linkedin.com/in/guillaume-schiano/
  Email: guillaumedev@riseup.net
I am a junior software developer with a scientific background (master's degree in physics). I am mainly interested in backend related positions and/or devops, especially if the job or company are related to scientific topics.

I would have been curious to read about WhatsApp since it is a widely used app. Also for youtube I use NewPipe which I find incredibly good (no ads, can manage playlists and audio only).

In 2018 I attended one of Yann LeCun's talk, one person basically asked the same question than you, more precisely the question was "what advice can you give to young people/high school students who are about to start choosing their career?".

He explained that AI will mainly replace "basic" jobs like forklift operator or any job that needs repetitive tasks. Simply because these jobs have no value. On the other hand, he said that at least two kind of jobs will survive : jobs where you create value (like artists, creator etc.) because people will always desire something that took someone's time and attention to make. And jobs where you take care of others (teachers, nurse etc.) because no one want to be taken care of by a machine (read Asimov's novel The fun they had on that matter).

Hi, thanks for this website, I'm goinng to use it a lot I think!

I'd like to add a suggestion, when we pick a book, you propose two links, one is Amazon and the other one is Goggle. Could you replace those links by DuckDuckGo and maybe Goodreads (or any other website that doesn't almost control the market)? It's just to avoid those big companies.

I don't know for metastable glass but you can read about the third law of thermodynamics which address the question of entropy and low temperature: https://en.wikipedia.org/wiki/Third_law_of_thermodynamics

Especially this might interest you:

"A classical formulation by Nernst (actually a consequence of the Third Law) is:

It is impossible for any process, no matter how idealized, to reduce the entropy of a system to its absolute-zero value in a finite number of operations."

Thanks for this, it's a nice summary. The final section about what doesn't work is really interesting and in fact too short! I really thought there was "learning styles".