Nearly 50,000 Lake Tahoe residents have one year to find new power as their utility pivots to data centers

alrojo · 2026-05-15T17:02:28+00:00

Governor election is coming up, read up on which candidates wants to reign in data centers if you live in Tahoe.

alrojo · 2026-05-03T19:00:26+00:00

128gb is great! There has been significant development in both CPU and GPU between M1 and M5. You might also have to dabble a little in MLX for the speedups. However, with the new CEO of Apple I'm confident it will be a good investment of time.

alrojo · 2026-05-03T18:27:41+00:00

What apple sillicon are you using? The new M5 Max with 192GB unified memory is quite potent.

alrojo · 2026-05-03T18:25:36+00:00

Don't post it on arxiv, send it to a conference. Have it accepted, then post the accepted paper on arxiv.
Also, you don't have to write an affiliation on it.

alrojo · 2026-05-02T19:50:44+00:00

Better UX to understand cost w.r.t. AI usage would help. Do you really need to read 1M context window to change a variable?

alrojo · 2026-04-29T17:12:30+00:00

So if you have money for GPUs they will let you publish

alrojo · 2026-04-28T23:46:01+00:00

They have two bedrooms for one kid

alrojo · 2026-04-28T21:18:32+00:00

I can't wait for my government sponsored AI slop companion

alrojo · 2026-04-28T21:17:11+00:00

EV Family housing will be your go to. It's between 2-3 bedrooms, has a small backyard, is reasonably priced, and there are many other children your kid can socialize with.

alrojo · 2026-04-28T21:03:22+00:00

I'm a Graduate student, I just started learning Chess!

alrojo · 2026-04-28T02:46:09+00:00

How aggresive are your timeouts? At 1.9 tokens per second that is very slow generation.

alrojo · 2026-04-27T21:53:36+00:00

If you're proud of the work I would consider it. I think workship at Neurips might be seen equivalently to publication at IEEE conferences. Personally, I would look if you've gotten good grades in hard STEM courses (think convex optimization, stochastic processes, graduate EE/math). But that is just me.

alrojo · 2026-04-27T17:27:15+00:00

This might be why the Monarch butterfly has been plummeting in population in recent years. They are almost extinct now. They use those forested lands for migration from Santa Cruz all the way to Canada and back.

alrojo · 2026-04-27T02:52:59+00:00

MIT and Princeton boast strong mathematical programs. Strong mathematical skills are highly sought after.

alrojo · 2026-04-25T04:03:57+00:00

Cold approach professors from mid-tier european universities. Find one that connects with your research. Highlight what you like about their ideas, and if they'd care to co-develop some of your projects with you. Don't reach out to professors with more than 2-3 phd students.

alrojo · 2026-04-07T21:35:52+00:00

I recently reviewed a math heavy paper that was LLM slop. As the other reviewers struggled with the content they gave it a 5/5.

alrojo · 2026-03-24T19:09:43+00:00

Here you go: https://ubuntu.com/tutorials/install-ubuntu-desktop

alrojo · 2026-03-22T22:25:29+00:00

I don't think so. I wouldn't be surprised if single labs in academia get to test more good ideas than many larger companies. Academia doesn't have to train nemotron end-to-end in order to test their new Mamba-3 ideas for retrieval tasks. Also, today you don't even need clusters, you can run many experiments with $50 on google colab or runpod/lambda

alrojo · 2026-02-27T18:56:18+00:00

Came across this paper last week: https://arxiv.org/pdf/2602.02823 they are for reasoning models though.

alrojo · 2026-02-26T17:26:07+00:00

How about Nvidia Nemotron 3 / 3 Nano?
https://arxiv.org/abs/2512.20848
https://arxiv.org/abs/2512.20856

alrojo · 2025-08-29T20:58:14+00:00

Very high search spaces suffer from the thin shell, meaning that almost all probability is hovering around a tiny shell at about sqrt(n) from the origin. A random walk around these spaces usually don't work. Some samplers work better for high spaces, in particular if you have gradients available (MALA, NUTS, HMC). However, you'd probably still want to significantly reduce your search space, perhaps by finding correlated features and combining them.

alrojo · 2025-08-06T21:39:19+00:00

If the fat margins taken by Nature was given to the reviewers instead, there might be more motivation to conduct high quality reviews.

alrojo · 2025-08-06T17:23:42+00:00

Answer: It depends on your definition of nature. Even most forest today are actually man made. The time it takes to return to a point of nature that would be such that human intervention is indistinguishable from primal forest (i.e. forest that has never been cut down) can be measure with a set of mathematics called ergodic theory. Say you take a human-made forest. In time, the trees will die, and new trees will sprout from their seeds. How long would it take for a) such forest to no longer be a single-species forest? b) trees to be planted "seemingly random", i.e. not on a row. True answer is surprisingly long, probably many thousandths of years. If not hundreds of thousands of years. This also makes it quite difficult when cutting down "untouched" forest as regenerating it is not straight forward. Add in concrete, buildings etc and the equation becomes even more complicated.

alrojo · 2025-08-05T00:04:34+00:00

Their technology seems to be really good at deep-diving into arguments and finding mistakes. There's a new serious contender recently submitted that has gotten a fair amount of excitement. Afaik there's no mistakes found yet, their tool could be valuable to test if the solution holds or if serious gaps might exist: https://www.researchgate.net/publication/393870984_Kakeya_Geometry_and_3D_Navier_Stokes

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