Nico Bykhovsky

a chuds life

[Nico Bykhovsky @BykhovskyNico]

The goal of my ear infection appointment is to get prescribed adderal

[Nico Bykhovsky @BykhovskyNico]

“As we grow sharper, we grow rounder.”

— my coworker on the effect of intense study on a physique

[Nico Bykhovsky @BykhovskyNico]

July 4th was a movie

[Nico Bykhovsky @BykhovskyNico]

One should disclose if they received extra time on standardized testing before speaking

[Nico Bykhovsky @BykhovskyNico]

@aanegola Isn’t modern day dementia still just dementia

[Nico Bykhovsky @BykhovskyNico]

Gonna name my first son Nico, short for nicotine

Second son will also be Nico, short for nicorette

Third son will be Nico jr, taking his fathers name

[Nico Bykhovsky @BykhovskyNico]

They gotta make lactaid but for spicy food

[Nico Bykhovsky @BykhovskyNico]

@sch_rage In my head it’s for regular life

[Nico Bykhovsky @BykhovskyNico]

Would u rather have Wembys arms or his legs.

You can’t have both

[Nico Bykhovsky @BykhovskyNico]

3blue1brown is for people who lack the brain power for Tim and Moby

[Justin Lopas @JLopas]

This is a really cool project that @PratapRanade and team are working on: The New Feynman Lectures.

I had the opportunity to share what I've learned about the grid and how our batteries operate within it. 👇

[Nico Bykhovsky @BykhovskyNico]

@redbullfuturist It’s incredible deTAIL

[steven 🔜 cascade camp Aug 7-10 @_StevenFan]

your sacrifice of optionality pleases the gods

[Nico Bykhovsky @BykhovskyNico]

Perhaps another 200mg Celsius will do the trick

[Arya Hezarkhani @_i_am_arya]

Our latest paper from @arenaphysica introduces a diffusion model that generates high-resolution manufacturable two-layer RF designs with vias from target S-parameters, leveraging Heaviside, our EM simulation model, for closed-loop verification. We fabricated two RF filters on RO4003C, a hairpin re-design at 17 GHz and a combline bandpass filter at 9.5 GHz designed from scratch, with both passbands landing within 2% of target on the first fab.

This is an early proof point and milestone in our pursuit of electromagnetic superintelligence. can't wait to share more of what the team's cooking up.

Read the full paper on arXiv: https://t.co/fbINtxbiZ0

[Nico Bykhovsky @BykhovskyNico]

Evidently also the word Hiccups.

[Nico Bykhovsky @BykhovskyNico]

Whoever came up with the word giggles nailed it that’s extactly what those are

[Dylan Morris @Dylan_Morri]

Bring back cowboy engineering

[Pratap Ranade @PratapRanade]

Today we’re sharing a sneak peek of Season 1 of the “New Feynman Lectures” with all of you. Maximally analog, on a chalk and blackboard, you’ll learn about key physics and engineering concepts being wielded by the engineers behind @basepowerco , @Saronic , @anduriltech , @VardaSpace , @iterorg and our own @arenaphysica .

The backstory:

Richard Feynman’s 1961 physics lectures are a treasure. He was a true master, with a love of science, a beginner’s mind and a practitioner’s approach. His lectures still hold up to this day and were the topic that students and scientists from all countries and backgrounds would bond over when I was in college and in grad school.

Recently, I was thinking about what I love about my job at Arena Physica. It is that I get to see physics applied everyday as part of my job, by amazing practitioners pushing the frontier of applied physics as they build the most marvelous machines of our time. It often feels like we are getting an applied version of the modern feynman lectures on the job. I find it so inspirational that I wanted to share some of those stories and lessons with everyone - to make it available to curious minds, students and engineers everywhere.

Episode 1 with Shaun Donovan about building resilient flight computers for autonomous combat drones at Anduril drops on April 27 on YouTube. You can subscribe at the link in the comments to make sure you don’t miss it.

Grateful to our incredible lecturers – @JLopas, Shaun Donovan, @WillBruey, Mike Walsh, @Vbob202 and @hk2532_harish.

[Nico Bykhovsky @BykhovskyNico]

Every man chooses an age to stay for the rest of his life

[Nico Bykhovsky @BykhovskyNico]

Jawkesh Mogtel

[Dwarkesh Patel @dwarkesh_sp]

Distilled recap of the back-and-forth with Jensen on export controls:

Dwarkesh: Wouldn’t selling Nvidia chips to China enable them to train models like Claude Mythos with cyber offensive capabilities that would be threats to American companies and national security?

Jensen: First of all, Mythos was trained on fairly mundane capacity and a fairly mundane amount of it by an extraordinary company. The amount of capacity and the type of compute it was trained on is abundantly available in China.

Dwarkesh: With that, could they eventually train a model like Mythos? Yes. But the question is, because we have more FLOPs, American labs are able to get to this level of capabilities first. Furthermore, even if they trained a model like this, the ability to deploy it at scale matters. If you had a cyber hacker, it's much more dangerous if they have a million of them versus a thousand of them.

Jensen: Your premise is just wrong. The fact of the matter is their AI development is going just fine. The best AI researchers in the world, because they are limited in compute, also come up with extremely smart algorithms. DeepSeek is not an inconsequential advance. The day that DeepSeek comes out on Huawei first, that is a horrible outcome for our nation.

Dwarkesh: Currently, you can have a model like DeepSeek that can run on any accelerator if it's open source. Why would that stop being the case in the future?

Jensen: Suppose it optimizes for Huawei. Suppose it optimizes for their architecture. It would put others at a disadvantage. As AI diffuses out into the rest of the world, their standards and their tech stack will become superior to ours because their models are open.

Dwarkesh: Tesla sold extremely good electric vehicles to China for a long time. iPhones are sold in China. They didn't cause some lock-in. China will still make their version of EVs, and they're dominating, or smartphones, they're dominating.

Jensen: We are not a car. The fact that I can buy this car brand one day and use another car brand another day is easy. Computing is not like that. There's a reason why x86 still exists. There's a reason why Arm is so sticky. These ecosystems are hard to replace.

Dwarkesh: It's just hard to imagine that there's a long-term lock-in to the Chinese ecosystem, even if they have this slightly better open-source model for a while. American labs port across accelerators constantly. Anthropic's models are run on GPUs, they're run on Trainium, they're run on TPUs. There are so many things you can do, from distilling to a model that's well fit for your chips.

Jensen: China is the largest contributor to open source software in the world. China's the largest contributor to open models in the world. Today it's built on the American tech stack, Nvidia’s. Fact.

All five layers of the tech stack for AI are important. The United States ought to go win all five of them.

in a few years time, I'm making you the prediction that when we want American technology to be diffused around the world—out to India, out to the Middle East, out to Africa, out to Southeast Asia—on that day, I will tell you exactly about today's conversation, about how your policy ... caused the United States to concede the second largest market in the world for no good reason at all.