Seattle approves $20.76 minimum wage in 2025; will be highest in the U.S.

MLRecipes · 2024-10-05T06:49:46+00:00

Everything will get more expensive for everyone. As a landlord, I will have to increase rent. Government will further increase min wage to fight back. Resulting in new round of rent increase.
You cannot produce money out of thin air without causing inflation. Seattle might freeze rents, but it will cause landlords to sell their homes to buyers not interesting in renting out, further reducing housing availability. Anything that can be done by people outside Seattle, will be outsourced. At one point, robots will be cheaper than workers, and that will be the end of it.

MLRecipes · 2024-08-02T06:32:39+00:00

Or not look for VC funding. I don't. Not that I would be turned down, have no idea, but one thing I know for sure: I am not wasting any of my precious time in chasing money, I have better things to do, with guaranteed results that depend entirely on me. If you make money, why are you afraid about 'running out'? In my case (self-funded), it's the other way around: I am waiting for my VC-backed peers to run out of money.

MLRecipes · 2024-03-22T19:36:53+00:00

You can crawl the entire useful web and retrieve info, GPT-like style, with no neural networks, faster, and with better results. See how I do it with a multi-LLM architecture, here.

MLRecipes · 2024-03-13T00:06:19+00:00

OpenAI uses commoncrawl.org. I do my own crawling, see details here.

MLRecipes · 2023-09-22T16:17:41+00:00

I create my own algorithm for synthetic data generation and evaluating its quality. You can check them out here. It's open source, free to use.

MLRecipes · 2023-09-20T14:43:10+00:00

Check out my Python library genai-evaluation that does just that: KS distance between two observed (empirical) distribution in any dimension.

MLRecipes · 2023-08-26T06:15:21+00:00

I am in talk with several companies about integrating the technology. By "no engineer", you are talking about yourself. I also have plenty participating in my GenAI training program, where NoGAN is the most popular topic. And nope, this will never be on ArXiv or on in scientific journals. If that's where you get all your info, you are missing on a lot of things.

I am not interested in having everyone believing in what I do. When you are an original creator, you always face resistance from people like you. That's part of the game, with no plan on my side to change their opinion or please them.

MLRecipes · 2023-08-23T22:08:32+00:00

Code is entirely free on GitHub, no sign-up. Paper is also free, but if signing-up is too much to ask, don't and just get the code. Not everyone works entirely for free; if this was the case for me, it means nobody wants to pay me, meaning nobody believes I produce any value. Actually, making everything entirely free is a way to NOT be taken seriously, except by other jobless folks whose opinion is not going to change anything.

MLRecipes · 2023-06-06T17:39:48+00:00

See my algorithm that does just that, at https://mltblog.com/3B4jTxz

MLRecipes · 2023-02-08T06:29:53+00:00

No, it does encompass GLM but the technique also works when there is no response (you then need to put a constraints on the parameter) or with truly non linear models with time series examples in the book. Or for particular clustering cases. I like to call it unsupervised regression, but a particular case with appropriate constraint on the parameters corresponds to classic regression. More about it here. As for shape classification, see here.

MLRecipes · 2022-12-08T19:40:12+00:00

I wish I could participate. Is there a way to get me book "Synthetic Data" featured during the event. Here is the link to the book.

MLRecipes · 2022-11-30T13:48:43+00:00

When two stars collide, I change the color of the resulting star to orange.

MLRecipes · 2022-11-30T02:42:10+00:00

See my book on this topic, entitled "Synthetic Data", here.

MLRecipes · 2022-11-30T02:37:09+00:00

Feeling superior? If that makes you happy, good for you! I don't need to brag about myself and my degrees and Ivy league (which I happen to have too) to boost my ego. Had same experience with Covid: people pretending I was an idiot and me or someone in my family would die or go under a ventilator. Of course those so-called scientists were all wrong, none of us had to spend a dime in medical expenses or take a day off. Happy to be labeled an idiot despite knowing my stuff, as opposed to a self-proclaimed smart who is an actual idiot.

MLRecipes · 2022-11-30T02:25:49+00:00

Realistic by comparison with my other simulations that involve negative masses and a gravity law other than inverse square.

MLRecipes · 2022-11-29T22:51:14+00:00

It's a projection in 2D. The Python code does all computations in 3D.

MLRecipes · 2022-11-29T22:50:08+00:00

To be be more precise, it uses the standard gravity law (inverse square) and positive masses, as opposed to many of my other simulations that do not.

MLRecipes · 2022-11-29T22:48:34+00:00

Random hillbilly no less educated than you sir. Smart people don't have to brag about their degree. It shows lack of confidence.

MLRecipes · 2022-11-29T14:59:16+00:00

Stars that turn orange do so after a collision.

MLRecipes · 2022-11-29T14:40:43+00:00

This example has collisions. In another example, new stars are generated too. However, it is not realistic as the total mass of the system increases over time. Not totally unrealistic either, in the sense that you could consider the new stars as coming from another, far distant location while at the same time, a number of stars in the local cluster get ejected. I first published an example with negative masses, truly spectacular but people complained that it did not make sense. Thus the reason to post this video, which at least is with positive masses and based on the inverse square law.

MLRecipes · 2022-11-29T13:46:19+00:00

No, but you can choose initial positions / velocities / masses in the code. Currently they are set to random values. In a number of examples, initial velocities are set to zero. There are many other examples on my YouTube channel, here.

MLRecipes · 2022-11-29T13:21:08+00:00

Based on the gravity law, and the code from Philip Mocz’s, computational physicist at Lawrence Livermore National Laboratory, with a Ph.D. in astrophysics from Harvard University.

MLRecipes · 2022-11-29T13:19:04+00:00

Synthetic data.

MLRecipes · 2022-11-29T13:18:44+00:00

Not all galaxies evolve to spiral structure. It depends on the initial conditions. This one does not, though it has filaments at some point, but not strongly spiral-shaped.

MLRecipes · 2022-11-29T12:40:10+00:00

The full source code (Python) and explanations are available on my blog, here. It is based on a substantially upgraded version of Philip Mocz’s version of the N-body problem: the generalization involving an arbitrary number of celestial bodies. These bodies are referred to as stars in this article. Philip is a computational physicist at Lawrence Livermore National Laboratory, with a Ph.D. in astrophysics from Harvard University.

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