muragekibicho

The article's awkward opening statement proves it wasn't written by AI.

I have been interested in machine-assisted ways to do and teach mathematics from as far back as 1999, when I started coding several applets in Java 1.0, both for my complex analysis and linear algebra courses, to visualize various mathematical objects I was interested in (such as honeycombs or Besicovitch sets).

For the curious, eigenvalues only exist for square matrices. Singular values are like generalized eigenvalues.

Singular values are like the fundamental frequencies of your matrix. You know how you can define any color with RGB? In a (pretty handwavy) way, singular values are like RGB color codes for us math guys.

Optimizers like Muon and Adam play around with weights' first, or second order singular values to train models.

I'm not trying to be reductive but the article's a lot of words for "We're vibecoding our app now and the glorious (almost almighty) Haskell compiler is too slow for the agent to iterate it's mistakes until it gets it right."

This is 2017 Biden vs Trump for people who know who Godbolt is

Compiling my C code with gcc happens in a single eye blink. Changing the format to .cpp and compiling with g++ takes 5 eye blinks. I've never used rust and I can't imagine blinking more than 6 times while waiting for my code to compile.

Is this how they view us? Like yeah. I'm going to spend all night arguing with the Haskell lovers (that's a slur in my books) on Reddit, but it's not my hobby. Rather, responsibility demands I direct these functional programmers away from the devil.

I was looking at matmul algorithms and their hardware implementations (to start a hardware startup) and I saw that the naive O(n^3) version is what everyone uses.

https://leetarxiv.substack.com/p/why-compilers-rarely-use-st...

Extreme mental clarity in "Eventually, she told me that it made more sense for me to quit my job while she worked, so that I could spend all of my free time trying to get another tech job".

I could've never imagined long-term-thinking like this from a former addict.

It's an appeal to the attention economy. "All of human cooking compressed into 2 MB" is(mentally) palatable relative to "Navigating the Emergent Geometry of Food Ingredient Embeddings".

Getting you to click is the ultimate goal.

This is the final phase of solving discrete logarithm problems where our goal is to convert a big integer into a product of small prime numbers over our factor base. Information is scant about the process so in the spirit of "name-and-conquer", this phase is also called the Reduction Step, the Descent Phase or Individual Logarithm Collection phase of solving a DLP.

The Gauss Sieve is a pretty neat algo for generating (lots of) short vectors from a lattice basis.

It's super useful when LLL and BKZ fail to generate a specific short vector that you know exists within your lattice.

Lol. Isn't this like being a contractor?

This paper introduces the Galbraith&Ruprai modification to the Gaudry-Schost collision finding algorithm for solving discrete logarithm problems in an interval in (1.36√N) field operations.

This is the first C job I've encountered in the "Who's Hiring" thread.

I applied with my C transpiler sideproject and my substack samples that show programmers how to turn math papers into C code.

Crying in GMT+3

OP takes issue with GitHub's constant outages and alludes to agents (and Copilot bloat) as the primary cause.

Lots of big services are like this. Google Colab's 'Connect to Drive' is down as we speak. I'm up right now because I know my Runpod VM in Kentucky is going to die rather abruptly and I'll need to manually get it up.

Everything has its flaws.

Microsoft lets you host your code, websites and media for free and

The junior hiring collapse is all so bizarre. I graduated recently and my career prospects are jarringly limited.

I thought I'd go back for a Masters/PhD but then Trump mercurially defunded lots of STEM grad programs. Ngl, I found myself stuck. Zero job openings, zero PhD program openings. It's all so frustrating.

Odd anecdote. I completed high school in 2017 and my home country demanded us use mathematical tables, not calculators, to find logs and sines for our version of SAT math.

I got my highest-paying numerical programming contract (in the US) just because I knew (from high school math table experience) how to use LUTs to calculate a lot of useful stuff i.e quarter squares.

Modernization is great and all. However, it's disappointing to know lots of new programmers are oblivious of the fundamentals.

This comment put everything into perspective. I can't name anything beyond Facebook, Instagram or Whatsapp that Meta's created and I've used in the past 10 years.

I've never even (knowingly) used the LLama models tbh.

We introduce the Hidden Number Problem with Chosen Errors (HNP-CE), a variant of the linear hidden number problem where the exact noise terms (βi) are unknown but shared across different relations with known weights(w).

Taken verbatim "Maybe you've heard about the little app called OpenClaw. OpenClaw is powered by pi. That made me collateral of Peter's success. Especially after Armin thought it's a good idea to tell the whole world about the relationship between OpenClaw and pi on his blog."

It's so bizarre how OP was downvoted. It's a truth. History repeats itself. It's not the first war. It's not the last war. Maybe his (or her) tirade on capitalism annoyed the HN downvoting shoggoth.

Does Stripe use Railway? The dashboard was down today and this is the only incident report I've encountered and the timeline matches Stripe's downtime.

It's super nit-picky of me to point out: the double and add visualization is a meme among professional elliptic curve guys.

You are in fact drawing a hyperbola between points on an (almost) circular plane. However, you won't find this published anywhere idk why. It's just one of those things you get from spending 3 years in office hours with the 73 year old math professor who's worked on elliptic curves since they became mainstream in the 1980's.

My PhD advisor demanded I use Julia for my dissertation. Back then I was a junior programmer so Julia's one-based indexing absolutely threw me off.

In retrospect, the PhD experience was miserable and using Julia contributed to my 'death by a thousand cuts'.

The hidden number problem (HNP) is the challenge of recovering a secret hidden number given partial knowledge of its linear relations. The extended hidden number problem is 'the HNP but with more holes'. It was thought to be more secure for quantum cryptography. Turns out, it's not lol.

The paper, Guessing Bits: Improved Lattice Attacks on(EC)DSA with Nonce Leakage , improves on the (Albrecht & Heninger, 2020) lattice-based HNP attack by:

    Guessing some secret key bits to increase attack success probability.

    Decomposing the secret key into batches to recover parts of the secret. ie. it’s no longer an ‘all-or-nothing’ approac

I ran a moderately large opensource service and my chronic back pain was cured the day I stopped maintaining the project.

Working for free is not fun. Having a paid offering with a free community version is not fun. Ultimately, dealing with people who don't pay for your product is not fun. I learnt this the hard way and I guess the MinIO team learnt this as well.

1. I like my laptops with USB ports and removable RAM and disk. I love computers and opening up a mac is a bad experience.

2. It costs an arm and a leg to replace parts on a Mac when you travel outside the United States. Replacing the keyboard on my first macbook cost the same as the actual price. I learnt my lesson. I don't need that Apple garbage in my life.

Exactly my predicament. My laptop reached EOL but I'm struggling to purchase a new one.

They're all bundled with AI features (I absolutely don't need) and never in my life will I buy a mac for coding. My current laptop is HODL'ing and idk if this enshittification will end soon.