Isn't it a well-known fact that Garmin has terrible sleep tracking? The wearables can't handle deep sleep at all; even Muse with EEG can't reliably predict it, so I wouldn't be drawing conclusions here.

A small curiosity: I recently learned that sleep trackers in commercial wearables are terrible for people with sleep disorders like apneas, UARS, etc. It makes sense, as this isn't a typical dataset, but it's worth knowing.

https://www.youtube.com/watch?v=6FAz7QGmlBM

>Dr. Miller’s theory revives the concept of analog computation. Unlike digital computers, which rely on discrete binary bits, analog systems process continuous information—waves interacting to produce a vast range of possible values.

Is it pseudoscience? I thought for almost decade that ketamie, dissociation theory is correct one

The authors seem to have good credentials and I found the repo with code for this paper.

https://github.com/pathwaycom/bdh

There isn't a ton of code and there are a lot comments in my native language, so at least that is novel to me

There is an adaption to vision here, looks very promising: https://github.com/takzen/vision-bdh

Awesome work. Surprised rand isn't implemented yet, I found it pretty useful for playing around.

To be honest, the vibe of Hacker News is starting to grow on me. Yes, it's often too negative and you have to dose it, but we shouldn't view technology as magic. It's sometimes a hard pill to swallow, but even the creators of AI, robotics, and cloud innovations can be blind to the significant roadblocks that lie ahead; progress isn't linear.

I remain excited about AI and my master's thesis on fine-tuning transformers with LoRA. However, Hacker News has encouraged me to dive deeper and recognize that current architectures may not be sufficient. Additionally, Richard Sutton was a revelation for me in understanding how gradient descent truly works.

I guess it beats the LinkedIn vibe where everything is perfect and amazing!

I never thought about it, but that would make sense

So this repo popped up in my newsfeed: https://github.com/necat101/Chronos-CLGCM This isn't the first instance when I saw something like that, and it looks like a new trend, as the glamour of being an AI researcher with a high-paying job has started to affect ordinary people. It feels like a lottery ticket that you can win with vibe-coding.

How can we approach these situations in a good manner and help those people with constructive feedback?

> How can we approach these situations in a good manner and help those people with constructive feedback?

The same way we always have: mockery. Either they'll continue as they are or correct behavior. The lack of sensitivity towards dissonance might go against your wishes for "good manner", I disagree.

Something, something, participating in delusion.

A practical example: "managing upwards" by mocking the ideas, or more importantly/accurately: the outcome.

Aditya Bhargava did it again. I have to say I am a fan already from the old days of Grokking Algorithms.

Thank you! I loved writing that book.

One of my favorite books! Any plans to make this series a book as well? (Will be an instant buy for me)

I'll definitely publish more chapters on substack! I'd love to do a full book on LA, but it depends on if I'll have time.

As an aside, Avro.im looks awesome!