There’s a very simple solution to autonomous driving vehicles plowing into walls, cars, or people:

Congress will pass a law that makes NOBODY liable – as long as a human wasn’t involved in the decision making process during the incident.

This will be backed by car makers, software providers, and insurance companies, who will lobby hard for it. After all, no SINGLE person or company made the decision to swerve into oncoming traffic. Surely they can’t be held liable. 🤷🏻‍♂️

Once that happens, Level 4 driving will come standard and likely be the default mode on most cars. Best of luck everyone else!

There’s a very simple solution to autonomous driving vehicles plowing into walls, cars, or people:

Congress will pass a law that makes NOBODY liable – as long as a human wasn’t involved in the decision making process during the incident.

This will be backed by car makers, software providers, and insurance companies, who will lobby hard for it. After all, no SINGLE person or company made the decision to swerve into oncoming traffic. Surely they can’t be held liable. 🤷🏻‍♂️

Once that happens, Level 4 driving will come standard and likely be the default mode on most cars. Best of luck everyone else!

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So… if you own an inexpensive Alexa device, it just doesn’t have the horsepower to process your requests on-device. Your basic $35 device is just a microphone and a wifi streamer (ok, it also handles buttons and fun LED light effects). The Alexa device SDK can run on a $5 ESP-32. That’s how little it needs to work on-site.

Everything you say is getting sent to the cloud where it is NLP processed, parsed, then turned into command intents and matched against the devices and services you’ve installed. It does a match against the phrase ‘slots’ and returns results which are then turned into voice and played back on the speaker.

With the new LLM-based Alexa+ services, it’s all on the cloud. Very little of the processing can happen on-device. If you want to use the service, don’t be surprised the voice commands end up on the cloud. In most cases, it already was.

If you don’t like it, look into Home Assistant. But last I checked, to keep everything local and not too laggy, you’ll need a super beefy (expensive) local home server. Otherwise, it’s shipping your audio bits out to the cloud as well. There’s no free lunch.

This shows how one company (li-cycle) that claims they recycle 95% of the lithium does it: https://youtu.be/s2xrarUWVRQ

99.99% doesn’t seem too far-fetched.

My wife and I used to tag-team. Only one person got to lose it at a time. As soon as one person got that distant, exasperated look, Parent 2 jumped in and Parent 1 could go cool down, watch a show, have a drink, or take a bath. If solo, we’d use distraction and humor. If too much, you stick them in a playpen with toys and let them self-sooth.

If it’s any consolation, they won’t remember diddly-squat of anything that happened before ages 5-6.

I use the same tool. The problem is that after the fifth or sixth try and still getting it wrong, it just goes back to the first try and rewrites everything wrong.

Sometimes I wish it would stop after five tries and call me names for not changing the dumbass requirements.

Most IoT devices that died did so because the vendor went out of business and had to shut off the servers. Most lived in hope that a last minute investment would keep them afloat. In a few other cases, it was the middleware software provider (like Google IoT) that shut down and bricked a device.

This legislation might apply to a big company that decides to discontinue a product line and could then send notices out, but most startups won’t know (or admit defeat) till the last possible moment. By then it’s too late.

I used to work with big companies collecting IoT data. 90% were collecting telemetry without knowing why. Or having business goals they could easily achieve in other ways, without hoovering everything and violating our privacy.

The rest were doing it so they could sell it to data brokers and make money.

None of them were trying to push privacy as a competitive advantage.