voqv

yeah, you can use rocker --home --user -- $CI_IMAGE

Yes, same impression here. I remember trying to get some documentation fixes into the codebase and felt like it all got shelved because the Intel team didn't see those things as necessary. Some community PRs/fixes just went stale like that too. Kind of now hard to merge that in my head that they now need to crowdfund.

I'm not sure at which one of those graphs I should be looking at. The gross power consumption one seems to refute your own claim. The total gross electricity usage of Germany in 1990 was 551 Twh, 587 twh in 2003 and is currently around 550 Twh. Current expectations is that usage will grow to 650 Twh in 2030 and to 750+ Twh in 2050.

Just selecting 2023 as a timeframe isn't good data.

You can see here [1] that on a time frame of 2000 to 2022 Germany is yet to replace reduction of nuclear generation (Kernkraft) with renewables. Construction of renewables in 2023 has only accelerated 50% relative to 2022 [2].

[1] https://www.tech-for-future.de/wordpress/wp-content/uploads/... [2] https://www.energy-charts.info/charts/installed_power/chart....

> Firstly, it's not cheap compared to modern solar and that trend is likely to continue.

Only if you omit cost of energy storage infrastructure and grid upgrades necessary for VRE.

> Secondly, it's not a responsive source of electricity - so you can't modulate the output easily.

Repeated often by nuclear critics even though there's evidence out there of German nuclear modulating load within 24 hours.

> Fourthly, as we found last year, during heat waves rivers can run dry causing a shortage of water to cool the plants forcing them to go offline.

French powerplants did not go offline last summer, a few of them that lack sufficient cooling tower infrastructure had to eject hotter than usual water into rivers.

Germany's steel and chemistry sector require large amounts of natural gas. In general, natural gas (currently LNG) was also to smooth a transition towards green hydrogen, the plan being to build infrastructure that can burn/store/use both, as explicitly stated by Federal ministries/agencies.

> that plan is out of the window

There hasn't been officially confirmed, soon there will be a report called "Power plant strategy 2026" that will give a better outlook as to what is gonna happen this decade.

> an overabundance of hills.

That's not sufficient for pumped storage at scale, but Germany is mostly focusing on hydrogen for now.

Well they certainly say they will, not sure about the rest.

> "All the problems associated with" what?

Economic challenges of quickly building grid-scale battery storage , battery production for the entire globe, NIMBY's etc.

> Modern batteries don't burst into flame

they literally do

> the overwhelming bulk of storage is not batteries

Well overwhelming bulk is a high bar and storage is geography dependent. Germany f.e. can't build as much pumped storage as Australia and Australia built a large amount of battery storage vs PSH.

Just curious, what problems of L4T does Yocto solve? Except for the ones mentioned here[0] ?

[0] https://witekio.com/blog/yocto-for-nvidia-jetson/

Even occupancy grids can be used to detect if you some kind of furniture or what kind of windows you have. Also, iRobot added visual slam some time ago, those maps can give huge amount of detail even if they don't contain images, just feature based bag of words models.

This meme has to end, there’s only one nuclear power plant in France (Blayais) that has no cooling towers, and another 4 have to occasionally throttle power output due to ecological concerns (used water is too hot, they currently have temporary exceptions).

I'm very impressed to learn about Snowy 2.0. Of course, it's not a silver bullet - in a renewable world, storage will have to be fairly distributed across the grid to maintain frequency.

For comparison, it seems Germany uses nearly 2x more electricity than Australia and currently has about 10x less pumped storage (including wip) than what Snowy 2.0 will have alone.

Is that why it took long? I was under the impression it was because of diminishing gradients in backprop once you stack a huge amount of layers (the deep in deep neural networks).

I will probably soon add an old 3D Touch iphone to my small Human Machine Interface hall of fame along with the old click wheel iPod Classic.

They probably removed it because nobody was using it and they couldn't figure out how to teach people, while spending extra $ to add it into phones.

With so many e-bikes popping up, with extra cargo space and even seating for 2 people (electric rickshaw bikes), I wonder if we can go full circle and bring back old cars like 2cv or Model-T with significant speed limits of 30kmph and reduced safety requirements. More and more european cities are starting to have 30kmph speed limits.

To people already preparing to explain how ridiculous that idea is, I know :)

It's more of a pipe dream. Just physically makes no sense to carry around 60kg of an ultra lightweight car (estimate taken from lightest Shell eco-marathon prototypes) instead of the 40kg of the heaviest ebikes. Not sure if there's any feasibility wiggle room.

It's just... noise? I assume the average github user is a developer and has closed dozens of PRs in his life.

It's cool to see someone's code is on the mars rover or in the artic storage. I can't care about achievements like "yolo" "galaxy brain" and "pull shark". I don't understand what information that conveys on a code collaboration platform.

They now added achievements 5 days ago. I have an achievement for having "opened pull requests that have been merged". It really is becoming a social network.

A more concrete example of universities with this system are DHBWs in the state of Baden Württemberg:

[0] https://en.wikipedia.org/wiki/Baden-W%C3%BCrttemberg_Coopera...

In addition to what other's mentioned, there's also this:

https://www.indyautonomouschallenge.com/

Idk if it's going to be recurring, but they had a second race for CES22.

I need to try to do this for HEOS

Q: What is a bad idea for a startup? A: A startup is a bad idea.

Q: How do i know if i have a good idea? A: If you have a good idea, you will know it.

Q: When will robots kill all humans? A: When the robots are more human than the humans.

FYI: https://deepdrive.tech/ Albeit currently only rear wheel drive inhub.

That account always brings me to chuckle. But the biggest joke actually comes from myself, being a person who owns 10 smart bulbs at home. This smart home thing has just stalled: * At least several times a week my hue bridge is not found and I lie for 10 seconds in bed repeatedly tapping the "off button" like a dummy. * Sync to music is still increadibly limited and just doesn't work well. Arguably it was better 7 years ago when streaming was less popular and apps could analyse the track waveform, instead of relying on microphones. * Sync to games and movies is also still fairly poor. If you're viewing a scene during broad daylight and in front of you a red van appears, the whole room goes red instead of maintaining the white daylight. * Dynamic light scenes are very cool but are also just a pain to use. It shouldn't take me 30 seconds to set the room to a certain mood. I sometimes feel like the developers of the dynamic scenes apps don't use their own products.

All just my experience.

Here's the report [0]

IMHO the analysis is muddied by the fact that most G7 countries decided to bail out their major Airlines during the pandemic. In case of Germany and Italy, those billions of spendings count towards a "fossil fuel commitment".

[0] https://learn.tearfund.org/-/media/learn/resources/reports/2...

The Model 3 has a ARS-4B radar and these things usually already do perception for you, so the output is a list of vehicle velocity and pose. Given what I know about Autopilot , I don't see how is that hard to fuse. And I doubt the supplier of the radar (Continental) gave Tesla raw data access.

I just think there's more to the story than we're getting. Impossible to tell for an outsider though.

The industry has been sensor fusion for decades. Training Autopilot neural networks to hallucinate road parts is easy but doing uncertainty estimation on simple radar measurements is hard? Also you still have to fuse the data from the multiple cameras.

I'm almost doubting my entire knowledge in the field now when all of a sudden everyone just accepts that "sensor fusion is hard" statement.

Looks like the 2022 Wey SUV from Great Wall Motors will have a true solid state lidar from Ibeo / ZF.

Good luck to humanity trying to resilver from that barren, desolate, wasteland.