I like quick low-stakes browser games like this, something fun and fast to wake up your brain with morning coffee. If interested, here are some others I've come across -
I've been compiling a bunch of daily games over the past 4 months at https://dles.aukspot.com with all these games and about 200 more, if you're interested!
I do too! This is my first curated list I've shared with others, and I'm really happy I did. If you want a great geography game, GeoGrid is my favorite, but I also love the ones that sort of mimic GeoGuessr with guessing the location based on pictures or satellite images.
I think there's a fair debate to be had around google's use of 3rd pty content especially in an age of AMP links and rich results.
Though I agree ancestry.com is following pretty standard practices here (they're not charging, robots.txt is followed, sources are attributed and linked).
>Almost none of a person's daily life is dominated by racial issues
I won't presume to know your race but many americans do not live with such comfort. Studies have documented how race is correlated to outcomes in everyday encounters such as traffic stops, employment interviews, rental applications, health care treatment, and school performance.
> Studies have documented how race is correlated to outcomes in everyday encounters such as traffic stops, employment interviews, rental applications, health care treatment, and school performance.
Traffic stops, employment interviews, rental applications, and health care treatment are not events a single person experiences every day, so even if race was a huge factor in all of them, and "huge" is debatable, this is all besides the point.
But all of those things directly affect their every day lives. Your experience and the assumptions you've drawn are not representative for large swaths of america.
I would've thought a stopped vehicle without any visible lights would be much easier to detect with a lidar/sensor based system vs human reaction.
Do these platforms like BlueDrive and FSD not constantly survey the distance of objects in front of and around you? Or do they still rely on visuals like tail lights?
A system with lidar would have definitely detected the obstacle and braked. For a lidar, which is an active sensor, it doesn't matter if it's daytime or complete darkness since it makes its own light.
FSD is inferring distance of objects as it has no direct measurements. It's a real challenge in darkness since camera is a passive sensor and it has to rely on visual cues. I believe BlueCruise is using a radar, but I'm not sure how robust it is.
I believe BlueCruise uses radar, gps, and mobile eye which is dual camera inputs. At least my 2019 ford uses radar+camera combination for lane centering, ymmv.
Edit: looked at a Mach e and it uses dual cameras behind the rear view mirror so likely intel’s mobile eye platform
The problem is the stopped car was hidden by the moving car that avoided it successfully. Only when that car swerved to avoid the stopped one did the BlueCruise car have line-of-sight to the stopped one. There was no visual at all, and no lidar, but possibly some indirect radar.
And radar generally ignores all stopped objects because there are too many false returns. It’s really only useful for objects traveling at some speed. If the CRV had been going even 5 miles an hour it maybe it would’ve been detected.
Every radar system has this issue. It’s basically the same thing that caused that Tesla to run into the side of a semi so many years ago. The semi was stationary (relative to the road direction) so if the radar saw it probably ignored it.
I’ve never heard of a system that uses the cameras. Except Tesla since they removed the radar I guess. No one else seems to.
Sorry. I meant cameras only. As far as I’m aware every system on the market uses cameras for lanes and radar for obstacles ahead except Tesla since they removed their radar.
I’m guessing (but didn’t check!) Subaru also has the radar too.
Need to understand the modular nature of cars. The radar is one system and camera is another. Camera is only used for lane detection the only output from the camera is if road lines are detected and how close to either line. Based on this the car can “ping pong” since it detects it getting too close to one line, or if it has two cameras it can determine what the center of the lane is by keeping the distance from each line equal.
Radar typically applies to the ACC system while camera applies to LKAS or lane centering. Rarely are the two connected. FSD and comma.ai are probably the only systems which combine the two.
Subaru EyeSight cameras (there are 2x front cameras and 1x rear camera) are also used to detect moving and stationary objects, and it will engage the emergency braking if, e.g., you are driving or reversing into a wall. Lane detection can be disabled on Subaru cars, yet the EyeSight will continue to scan surroundings and be ready to start breaking.
As of this year, the EyeSight is available even on Subaru BRZ 2nd gen with the manual transmisson.
It is just emergency braking (electronic brake distribution across all wheels according to sensor readings), plus ABS in a hard braking scenario. The clutch is not affected.
You don’t have to, the car will stall out. Another scenario: you are in 5th gear and the cruise control slows down to 15mph. The car stalls. My manual did that 25 years ago
I think the risk to the carmaker is your customers getting used to the apple infotainment system. Maybe they start to see the car as less a Fiat and more an Apple car. Then the exclusive expires or needs to be renegotiated.
From Apple's perspective, yes. That's exactly the playbook that built the iPhone into what it is today.
People forget that when the iPhone launched, carriers had an iron grip on their customers, to the extent of "pay us to put ringtones on our device that temporarily happens to be in your hands."
iPhone-in-car would have let Apple dangle some interesting data deals in front of car manufacturers, while retaining ultimate control, before the car manufacturers realized data was a monetizable revenue stream.
Few front-line agents have deep knowledge about their company's products or services. They trace their finger through some branches on a flowchart then dictate from a knowledgebase.
Agreed, and I think following flowchart-type logic is within today's AI capabilities. This thread is full of people getting inaccurate responses from humans. I think when it comes to accuracy, a well-trained LLM likely beats the status quo of high-churn low-paid employees following a rote diagram.
Of course there should always be a way to reach a human, a senior agent with actual knowledge that can be applied in subjective ways to solve more complex problems.
Linxicon - build bridges between two words (https://linxicon.com)
WhenTaken - use clues to guess where and when a photo was taken (https://whentaken.com)
Angle - guess the exact arc angle (https://angle.wtf)
Metazooa - deduce the animal species (https://metazooa.com)
Tradle - guess the country by its exports (https://games.oec.world/en/tradle)
Globle - find the country by proximity (https://globle-game.com)
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