tash_2s
tash_2s on Hacker News
Posted by
tash_2s on Monday October 12, 2026 @10:54PM
from the evenrealities.com dept.
And tmux with a good config and scripts.
I've heard from several people who've tried the KiWear ring that the experience is close to using the neural band. Different form factor and technology though.
Posted by
tash_2s on Friday August 28, 2026 @02:41PM
from the daily.co dept.
Posted by
tash_2s on Sunday July 26, 2026 @10:56PM
from the benchmarks.cekura.ai dept.
I also ended up using max effort/reasoning for both coding and general chat. They don't spend too much extra time on simple tasks these days.
Posted by
tash_2s on Wednesday June 03, 2026 @06:55PM
from the tomthecarrot.notion.site dept.
Posted by
tash_2s on Thursday May 14, 2026 @04:00PM
from the developers.meta.com dept.
Love this. I hope it works with Japanese kanji too, because sometimes I forget the exact character but remember a similar one.
Posted by
tash_2s on Thursday March 19, 2026 @04:19PM
from the evenrealities.com dept.
Yeah, having a system that understands the situation and intervenes could be useful in a lot of cases.
I feel the same. As AI gets better, I think personal AI for the physical world will become much more useful, and glasses could be a natural interface for it.
Thanks! I need to test it in low-light environments, and making it work reliably across a variety of kitchen settings is definitely one of my goals.
Posted by
tash_2s on Monday March 16, 2026 @03:04PM
from the show-hn dept.
https://github.com/RealComputer/GlassKit/tree/main/examples/rokid-overshoot-openai-realtime
I've been experimenting with a more proactive AI interface for the physical world.This project is a drink-making assistant for smart glasses. It looks at the ingredients, selects a recipe, shows the steps, and guides me in real time based on what it sees. The behavior I wanted most was simple: while I'm pouring, it should tell me when to stop, instead of waiting for me to ask.The demo video is...
Totally. I think this kind of thing sits right on that line: it can help someone (hands-free guidance, training, accessibility, staying in flow), and it can also slide into a pretty dystopian "score the worker" surveillance HUD. My intent here is the former: personal "real-world speedrun" / practice tooling, not a manager dashboard or productivity policing.
Cooking feels like a perfect fit for smart glasses (hands busy, lots of short steps), but I have not seen many apps that work reliably in a real kitchen. It feels like the hardware is finally getting to the point where this should become practical soon.
Posted by
tash_2s on Tuesday February 03, 2026 @03:45PM
from the show-hn dept.
https://github.com/RealComputer/GlassKit/tree/main/examples/rokid-rfdetr
I built a hands-free HUD for smart glasses that runs a real-world speedrun timer and auto-splits based on what the camera sees. Demo scenario: making sushi.Demo: https://www.youtube.com/watch?v=NuOVlyr-e1wRepo: https://github.com/RealComputer/GlassKitI initially tried a multimodal LLM for scene understanding, but the latency and consistency were not good enough for this use case, so I switched...
Right now it runs on Rokid Glasses using the OpenAI Realtime API.
Posted by
tash_2s on Tuesday December 09, 2025 @11:30AM
from the youtube.com dept.
I'll take another look at EgoBlur to see if it's a good fit, thanks. When I checked it briefly before, I thought it was focused on post-processing (non-realtime) and didn't integrate with matching easily, but it's definitely solid tech.
When multiple people are in view and the system detects consent, the current implementation assumes the person closest to the camera is the one giving it. This is not ideal, so active speaker detection is planned.
Verbal consent is just one example. Depending on the situation, other interfaces may work better, such as having a predefined list of friends who are always consented.
With proper implementation, on-device processing on a smartphone is feasible. On-glasses processing would be challenging, especially with battery constraints.
The 720p 30fps figure is from a PoC implementation, so there is still significant room for improvement. And yes, the demo is on an Apple Silicon M2.
Thanks! Beyond face blurring, I'm planning to detect and redact other private information like license plates, name tags, and sensitive documents.
Most of these features are aimed at protecting bystanders, but I'm also interested in exploring privacy protection for the wearer. For example, automatically shutting off recording in bathrooms, or removing identifiable landmarks from the video when they could reveal the wearer's location, depending on the use case.
I think mainstream adoption of smart glasses could be slowed more by privacy concerns than by hardware limitations. Remember Google Glass? While the hardware keeps improving, I want to make sure we're also addressing the software side.
Posted by
tash_2s on Monday August 11, 2025 @03:40PM
from the show-hn dept.
https://github.com/PrivacyIsAllYouNeed/protector
I built a live video privacy filter that helps smart glasses app developers handle privacy automatically.How it works:
You can replace a raw camera feed with the filtered stream in your app. The filter processes a live video stream, applies privacy protections, and outputs a privacy-compliant stream in real time. You can use this processed stream for AI apps, social apps, or anything...
Sounds great, love the idea. Since it's based on a single prompt, can you manually edit the generated flow afterward?
This is an indie open-source blockchain game, running on-chain, led by the community.
The game is coded in Rust, compiled to Wasm. Both the blockchain and its web frontend use that.
Most "blockchain games" use closed-source centralized servers. They just change some in-game assets into NFTs, and that's all. On the other hand, this open-source project fully runs in the standalone blockchain and is led by the community.
Posted by
tash_2s on Tuesday May 04, 2021 @01:24AM
from the show-hn dept.