Recent submissions

Comment · 10 months ago
Seems very oriented toward model architecture and inference engineering. Maybe add some more on model training flow, distillation, data generation, SFT and RL techniques?
Comment · 11 months ago
Seems like he thinks RLVR == learning from binary reward for the whole chain, completely discounting techniques to provide denser rewards like process reward supervision?
Comment · 11 months ago
> No one wants 125 million thoroughly non-Sinicized Japanese inside the country; that would be seen as an endless headache, not a prize.

I don't think what you claim the people want matters (if even true). Look at Tibet and Xinjiang

Comment · 1 year ago
lol you can go ask Thomas Rearden himself if Ctrl-labs "invented" gesture recognition from sEMG.
Comment · 1 year ago
The technology was "invented" by CTRL-Labs like how OpenAI "invented" transformer-based language models.
Comment · 1 year ago
Virtual keyboard is completely doable, but too slow.
Comment · 1 year ago
He's scribbling with his finger.

Typing can also work, but handwriting is simply faster and easier to decode.

sEMG signals correlate with *muscle* activation. When your fingers move, the actuators are the muscles in your forearm, and the tendons relay the force on the joint. Placing the band higher up on the forearm would actually give you better signals, but a wrist placement is much more socially acceptable.

Comment · 1 year ago
One device at a time!
Comment · 1 year ago
Everyone focusing on consumer prices. But tariffs also function to incentivize domestic reindustrialization, which has huge national security implications. You see this clearly in the venture space as increased investment interest in hardtech and manufacturing. It's great that the federal government is looking long term again.
Comment · 1 year ago
Came to the comments to see this. Stamping has all sorts of problems with alignment, stamp resolution, contact quality, etc, it's not clear whether this so called "simplicity" still holds after scaling up the resolution even more.
Comment · 2 years ago
Thanks for the reference, I suspected it would be EMG as well. Especially in the video you can see how the patient modulates his eyebrow, facial muscles, and mouth. The vestigial muscle movements can be decoded to speech with the help of LLM much more easily. Actually, if form factor was not a concern, this can be done even more easily with other sensors as well.
Comment · 2 years ago
I use Foundry for work. It makes data ingestion, cleaning, quality check and automation easy. After all the data is ingested, running analysis/RAG on them become extremely easy.

Basically, it's end-to-end data engineering and analytics. And the more a company uses/invests into the platform, the more benefit and locked-in they are.

Comment · 3 years ago
Hard agree. This type of app looks awesome in theory, but also makes me want to really organize my thoughts, make sure the tags are not too redundant, and think about how to merge with my previous notes (a lot of which is on paper). Then the perceived work involved for using such an app just for taking spontaneous notes become way too much.
Comment · 3 years ago
> Sometimes I think that part of this site's audience only considers art from a consumer-product perspective

Imagine you are an artist. You as a patron connect and talk about a piece of art, you walk away happy and feeling connected. He does not sell any art because they are indistinguishable from what the AI can produce with the cost of electricity. Now if you are willing to pay for "bonding over human experience", GPT can probably be trained to do that as well. Generative AI eliminates the livelihood of almost all artists eventually.

Comment · 3 years ago
> I've been seeing content on Tiktok where even 100 miles away they're seeing small dead fish which is apparently according to the folks making the videos a massive red flag.

It's interesting that you mention that you saw this on TikTok. In the last two days, the Ohio train derailment has become one of the hottest topics in ALL of Chinese social media (Weibo, tiktok, Little red book, etc), 10 days after its happening.

I was confused when my Chinese friends started asking me about this event, which I saw on the news the day it happened.

Why the huge lag? Oh yeah, because of the Chinese "balloons" -- nationalist citizens are mad that CCP has taken a "soft" stance in the face of US shooting down Chinese balloons. Chinese official statements are along the lines of "how dare you shoot down my balloons, they are just passing through on accident", then stating that American balloons have entered Chinese airspace previously and that's unacceptable.

This entire thing is a mess, so here comes the typical media manipulation to focus both Chinese and non-Chinese negative attention on America, even though American media has been giving this event no less attention than something like this usually receives.

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton