Hello HN! This is my first open source project, Git Guide. It is a community-curated travel directory designed to replace SEO spam and fake reviews with a transparent commit history.
The project relies entirely on Markdown files and GitHub Actions—no database or servers. Users propose places via Issues, and once a voting threshold is met, a script automatically validates the location and commits it to the repository. This ensures total transparency without black-box algorithms.
I am pursuing a PhD in indoor localization, and UWB is still far superior. That is the reason why major phone companies still include a UWB chip and are not switching to BLE 6.0.
I have compared them, and because BLE is a narrowband signal, it is highly susceptible to Non-Line-of-Sight (NLOS) conditions compared to UWB.
I also attended a prototype presentation by a large European silicon company. I noticed that even in their demo, BLE did not achieve 30 cm accuracy, but rather hovered around 1 m.
I have only tested PBR and RTT ranging with a simple Kalman Filter, so maybe someone has found a clever combination of these data sources (I hope).
Companies are doing some crazy stuff to block other devices. One of the worst things that I have seen is that on MacOS you cannot use the AirPods in a Microsoft Teams call.
I’ve used virtually every version of AirPods with Microsoft teams, including AirPod maxes. I use AirPods with teams calls every day.
Let’s definitely not pretend like Teams isn’t the crappiest app in the Milky Way. Any user issues can be squarely placed on Microsoft teams with confidence. Actual garbage app.
Seconding the other user saying that I also use AirPods Pro (2nd gen) in Teams at least twice a day, on macOS, iOS, and Windows (and had used them on android before, as well). Absolutely no issue whatsoever, and everyone mentions I usually have by far the best audio out of anyone else in the call.
What would Apple even gain out of this? They don’t have a competitor to MS Teams, FaceTime is hardly targeting the same segment.
When I got an internship at Amazon, I (ironically) plastered my cubicle with all the leadership principles ("LP's"), in over-happy fonts. But the leadership did not realize I was being tongue-in-cheek, and I suspect my cubicle decorations had a significant positive impact on my success there, lol. In the end I even started to believe the LP's, so maybe they knew something I didn't.
Spatial AI will for sure be a thing, I am not sure if will be next frontier.
The main problem that I still see is: we are not able to fully understand how much can we scale the current models. How much data do we need? Do we have the data for this kind of training? Can the current models generalize the world?
Probably before seeing something really interesting we need another AI winter, where researchers can be researcher and not soldiers of companies.
The data is out there if we give at least wheels to a robot and let it bump into things like we did when we were little. We didn't need a billion pictures or videos. Only trial and error, then we developed a mental map of our home and our close neighborhood and discovered that the rest of the world obeys the same rules. Training AIs doesn't work like that now.
I think that they want to follow the same route of LLMs: no understanding of the real world, but finding a brute force approach that's good enough in the most useful scenarios. Same as airplanes: they can't fly in a bird like way and they can't do bird things (land on a branch) but they are crazily useful to go to the other side of the world in a day. They need a lot of brute force to do that.
And yes, maybe an AI winter is what is needed to have the time to stop and have some new ideas.
I think that's the usual way the american attorneys advertise. I kinda like that style. In Poland, attorneys aren't allowed to advertise that expressively, which I think is a stupid regulation.
Poland's universal health care also removes the incentive for the type of lawyer who most commonly uses "Saul" style advertising -- personal injury attorneys.
It is a big business because people need to recover their costs or be render homeless is someone hits them with their car or whatever.
As a fun cherry on top, part of the opioid crisis stems from people abusing prescription drugs to return to work sooner than they would in the EU.
When content involves self-harm or illegal activity, the discussion isn’t just about geolocation, it’s about platform responsibility, user safety, and effective remediation. Striking the balance between free expression and preventing real harm is why platforms use content policy teams, abuse reporting, and multidisciplinary responses (moderation + outreach + law enforcement where warranted).
Different countries may have different ideas about the balance you've mentioned. One country should not impose its version on another (with threats of jail time). This is what the discussion is about.
The project relies entirely on Markdown files and GitHub Actions—no database or servers. Users propose places via Issues, and once a voting threshold is met, a script automatically validates the location and commits it to the repository. This ensures total transparency without black-box algorithms.
I would love your feedback!